195 Citations
Plasma and cerebrospinal fluid are complementary sources of biomarkers for neurodegenerative diseases The wide dynamic range of protein abundances particularly in plasma hampers detection of low-abundance proteins Depletion of high-abundance proteins and efficient enzymatic digestion can improve proteome coverage but must be carefully optimized for reproducibility throughput and cost-efficiency for use in large-scale clinical proteomic studies We developed a scalable sample preparation workflow for plasma and cerebrospinal fluid CSF that integrates depletion of high-abundance proteins optimized digestion using Lys-C and trypsin and compatibility with both label-free and tandem mass tag TMTpro -based quantification We systematically evaluated protein depletion and enzyme ... More
Plasma and cerebrospinal fluid are complementary sources of biomarkers for
neurodegenerative diseases. The wide dynamic range of protein abundances, particularly in
plasma, hampers detection of low-abundance proteins. Depletion of high-abundance proteins
and efficient enzymatic digestion can improve proteome coverage but must be carefully
optimized for reproducibility, throughput, and cost-efficiency for use in large-scale clinical
proteomic studies.
We developed a scalable sample preparation workflow for plasma and cerebrospinal fluid (CSF)
that integrates depletion of high-abundance proteins, optimized digestion using Lys-C and
trypsin, and compatibility with both label-free and tandem mass tag (TMTpro)-based
quantification. We systematically evaluated protein depletion and enzyme digestion conditions,
and the effect of deoxycholate on digestion, monitoring the number of detectable proteins and
the quantitation precision. Less
neurodegenerative diseases. The wide dynamic range of protein abundances, particularly in
plasma, hampers detection of low-abundance proteins. Depletion of high-abundance proteins
and efficient enzymatic digestion can improve proteome coverage but must be carefully
optimized for reproducibility, throughput, and cost-efficiency for use in large-scale clinical
proteomic studies.
We developed a scalable sample preparation workflow for plasma and cerebrospinal fluid (CSF)
that integrates depletion of high-abundance proteins, optimized digestion using Lys-C and
trypsin, and compatibility with both label-free and tandem mass tag (TMTpro)-based
quantification. We systematically evaluated protein depletion and enzyme digestion conditions,
and the effect of deoxycholate on digestion, monitoring the number of detectable proteins and
the quantitation precision. Less
The Maternal-to-Zygotic transition MZT is a reprograming process encompassing zygotic genome activation ZGA and the clearance of maternally-provided mRNAs While some factors regulating MZT have been identified there are thousands of maternal RNAs whose function has not been ascribed yet Here we have performed a proof-of-principle CRISPR-RfxCas d maternal screening targeting mRNAs encoding protein kinases and phosphatases in zebrafish and identified Bckdk as a novel post-translational regulator of MZT Bckdk mRNA knockdown caused epiboly defects ZGA deregulation H K ac reduction and a partial impairment of miR- processing Phospho-proteomic analysis revealed that Phf Baf a a chromatin remodeling factor is ... More
The Maternal-to-Zygotic transition (MZT) is a reprograming process encompassing zygotic genome activation (ZGA) and the clearance of maternally-provided mRNAs. While some factors regulating MZT have been identified, there are thousands of maternal RNAs whose function has not been ascribed yet. Here, we have performed a proof-of-principle CRISPR-RfxCas13d maternal screening targeting mRNAs encoding protein kinases and phosphatases in zebrafish and identified Bckdk as a novel post-translational regulator of MZT. Bckdk mRNA knockdown caused epiboly defects, ZGA deregulation, H3K27ac reduction and a partial impairment of miR-430 processing. Phospho-proteomic analysis revealed that Phf10/Baf45a, a chromatin remodeling factor, is less phosphorylated upon Bckdk depletion. Further, phf10 mRNA knockdown also altered ZGA and Phf10 constitutively phosphorylated rescued the developmental defects observed after bckdk mRNA depletion. Altogether, our results demonstrate the competence of CRISPR-RfxCas13d screenings to uncover new regulators of early vertebrate development and shed light on the post-translational control of MZT mediated by protein phosphorylation. Less
High-grade serous ovarian cancer HGSOC is a devastating disease that is frequently detected at an advanced and incurable stage Advances in ultrasensitive mass spectrometry-based spatial proteomics have provided a unique opportunity to uncover early molecular events in tumorigenesis and common dysregulated pathways with high therapeutic potential Here we present a comprehensive proteomic analysis of serous tubal intraepithelial carcinoma STIC the HGSOC precursor lesion covering more than proteins from ultralow input archival tissue We discovered that STICs and concurrent invasive carcinomas were indistinguishable at the global proteome level revealing a similar level of phenotypic and molecular heterogeneity Using cell-type resolved tissue ... More
High-grade serous ovarian cancer (HGSOC) is a devastating disease that is frequently detected at an advanced and incurable stage. Advances in ultrasensitive mass spectrometry-based spatial proteomics have provided a unique opportunity to uncover early molecular events in tumorigenesis and common dysregulated pathways with high therapeutic potential. Here, we present a comprehensive proteomic analysis of serous tubal intraepithelial carcinoma (STIC), the HGSOC precursor lesion, covering more than 10,000 proteins from ultralow input archival tissue. We discovered that STICs and concurrent invasive carcinomas were indistinguishable at the global proteome level, revealing a similar level of phenotypic and molecular heterogeneity. Using cell-type resolved tissue proteomics, we revealed strong cell-of-origin signatures preserved in STICs and invasive tumors and identified early dysregulated pathways of therapeutic relevance. These include proliferation and DNA damage repair signatures, as well as onco-metabolic changes, such as increased cholesterol biosynthesis. Finally, we uncovered substantial remodeling of the co-evolving tumor microenvironment, affecting approximately one-third of the stromal proteome, and derived a common signature associated with progressive immunosuppression and ECM restructuring. In summary, our study highlights the power of spatially resolved quantitative proteomics to dissect the molecular underpinnings of early carcinogenesis and provides a rich proteomic resource for future biomarker and drug target discovery. Less
Poly-ADP-ribosylation at sites of DNA damage catalyzed by PARP enzymes activates the DNA damage response chromatin remodeling and DNA repair The modification is reversed by two enzymes in humans PARG which efficiently hydrolyzes the poly-ADP-ribose chains and ARH which is the key enzyme for removing the last proximal mono-ADP-ribose from serine residues While inhibitor development has largely focused on PARPs and PARG no potent and selective inhibitors for ARH are currently available We optimized a FRET-based competition assay for ARH and carried out high-throughput screening of small-molecule inhibitors One hit compound with a potency of M was discovered and through ... More
Poly-ADP-ribosylation at sites of DNA damage, catalyzed by PARP enzymes, activates the DNA damage response, chromatin remodeling, and DNA repair. The modification is reversed by two enzymes in humans: PARG, which efficiently hydrolyzes the poly-ADP-ribose chains, and ARH3, which is the key enzyme for removing the last proximal mono-ADP-ribose from serine residues. While inhibitor development has largely focused on PARPs and PARG, no potent and selective inhibitors for ARH3 are currently available. We optimized a FRET-based competition assay for ARH3 and carried out high-throughput screening of small-molecule inhibitors. One hit compound, 1, with a potency of 22 μM was discovered, and through structure–activity relationship studies and synthesis, we improved its potency 10-fold to 2 μM (compound 27, MDOLL-0286). We demonstrate that the compound inhibits ARH3’s poly-ADP-ribose hydrolytic activity on cellular substrates. Intriguingly, it does not effectively inhibit the hydrolysis of mono-ADP-ribosylation from natural protein substrates. This is despite the fact that the cocrystal structure of compound 1 bound to ARH3 reveals its overlap with the enzyme’s ADP-ribose binding site, agreeing with the competition in the FRET assay. The first experimental ARH3 inhibitor complex provides a valuable starting point for developing more potent chemical probes to study DNA damage response mechanisms in the future. Less
Liquid dispensing technologies that enhance experimental efficiency and deliver high accuracy across multiple volume ranges are critically important in high-throughput experimentation HTE workflows for reaction exploration and optimization The Mantis liquid handler stands out as a compact highly modular system featuring a wide array of input options and near plug-and-play functionality with carousels all while employing positive displacement dispensing technology for precise liquid delivery that is largely independent of liquid properties However the system was originally designed to handle aqueous-based biological media at low volumes L dispense limiting its applications in nonaqueous chemistry Herein we report a hardware development effort ... More
Liquid dispensing technologies that enhance experimental efficiency and deliver high accuracy across multiple volume
ranges are critically important in high-throughput experimentation (HTE) workflows for reaction exploration and optimization. The
Mantis liquid handler stands out as a compact, highly modular system featuring a wide array of input options and near plug-and-play
functionality with carousels, all while employing positive displacement dispensing technology for precise liquid delivery that is largely
independent of liquid properties. However, the system was originally designed to handle aqueous-based biological media at low
volumes (1−5 μL/dispense), limiting its applications in nonaqueous chemistry. Herein, we report a hardware development effort
from a cross-industry collaboration aimed at enhancing Mantis’ capabilities to handle organic solvents and chemical reagents, even at
larger deliverable volumes (up to 50 μL/dispense). Various chemistry examples are provided to demonstrate the implementation of
newly developed chip designs, which allow the acquisition of accurate, reproducible, and robust data, enabling more efficient
workflows for new reaction discovery, reaction optimization, and data set production. Most importantly, by implementing the Mantis
liquid handler from the outset, an increase of 77% in HTE execution efficiency relative to a manual workflow incorporating
traditional liquid handling operations was achieved in an amide coupling demonstration. Less
ranges are critically important in high-throughput experimentation (HTE) workflows for reaction exploration and optimization. The
Mantis liquid handler stands out as a compact, highly modular system featuring a wide array of input options and near plug-and-play
functionality with carousels, all while employing positive displacement dispensing technology for precise liquid delivery that is largely
independent of liquid properties. However, the system was originally designed to handle aqueous-based biological media at low
volumes (1−5 μL/dispense), limiting its applications in nonaqueous chemistry. Herein, we report a hardware development effort
from a cross-industry collaboration aimed at enhancing Mantis’ capabilities to handle organic solvents and chemical reagents, even at
larger deliverable volumes (up to 50 μL/dispense). Various chemistry examples are provided to demonstrate the implementation of
newly developed chip designs, which allow the acquisition of accurate, reproducible, and robust data, enabling more efficient
workflows for new reaction discovery, reaction optimization, and data set production. Most importantly, by implementing the Mantis
liquid handler from the outset, an increase of 77% in HTE execution efficiency relative to a manual workflow incorporating
traditional liquid handling operations was achieved in an amide coupling demonstration. Less
Genetic studies have identified thousands of individual disease-associated non-coding alleles but identification of the causal alleles and their functions remain critical bottlenecks Even though CRISPR-Cas editing has enabled targeted modification of DNA inefficient editing leads to heterogeneous outcomes across individual cells limiting the ability to detect functional consequences of disease alleles To overcome these challenges we present a multi-omic single cell sequencing approach that directly identifies genomic DNA edits assays the transcriptome and measures cell surface protein expression We apply this approach to investigate the effects of gene disruption deletions in regulatory regions and non-coding single nucleotide polymorphisms We identify ... More
Genetic studies have identified thousands of individual disease-associated non-coding alleles, but identification of the causal alleles and their functions remain critical bottlenecks. Even though CRISPR-Cas editing has enabled targeted modification of DNA, inefficient editing leads to heterogeneous outcomes across individual cells, limiting the ability to detect functional consequences of disease alleles. To overcome these challenges, we present a multi-omic single cell sequencing approach that directly identifies genomic DNA edits, assays the transcriptome, and measures cell surface protein expression. We apply this approach to investigate the effects of gene disruption, deletions in regulatory regions, and non-coding single nucleotide polymorphisms. We identify the specific effects of individual SNPs, including the state-specific effects of an IL2RA autoimmune variant in primary human T cells. Multimodal functional genomic single cell assays including DNA sequencing bridge a crucial gap in our understanding of complex human diseases by directly identifying causal variation in primary human cells. Less
Electroporation-mediated gene delivery is a cornerstone of synthetic biology offering several advantages over other methods higher efficiencies broader applicability and simpler sample preparation Yet electroporation protocols are often challenging to integrate into highly multiplexed workflows owing to limitations in their scalability and tunability These challenges ultimately increase the time and cost per transformation As a result rapidly screening genetic libraries exploring combinatorial designs or optimizing electroporation parameters requires extensive iterations consuming large quantities of expensive custom-made DNA and cell lines or primary cells To address these limitations we have developed a High-Throughput Microfluidic Electroporation HTME platform that includes a -well ... More
Electroporation-mediated gene delivery is a cornerstone of synthetic biology, offering several advantages over other methods: higher efficiencies, broader applicability, and simpler sample preparation. Yet, electroporation protocols are often challenging to integrate into highly multiplexed workflows, owing to limitations in their scalability and tunability. These challenges ultimately increase the time and cost per transformation. As a result, rapidly screening genetic libraries, exploring combinatorial designs, or optimizing electroporation parameters requires extensive iterations, consuming large quantities of expensive custom-made DNA and cell lines or primary cells. To address these limitations, we have developed a High-Throughput Microfluidic Electroporation (HTME) platform that includes a 384-well electroporation plate (E-Plate) and control electronics capable of rapidly electroporating all wells in under a minute with individual control of each well. Fabricated using scalable and cost-effective printed-circuit-board (PCB) technology, the E-Plate significantly reduces consumable costs and reagent consumption by operating on nano to microliter volumes. Furthermore, individually addressable wells facilitate rapid exploration of large sets of experimental conditions to optimize electroporation for different cell types and plasmid concentrations/types. Use of the standard 384-well footprint makes the platform easily integrable into automated workflows, thereby enabling end-to-end automation. We demonstrate transformation of E. coli with pUC19 to validate the HTME’s core functionality, achieving at least a single colony forming unit in more than 99% of wells and confirming the platform’s ability to rapidly perform hundreds of electroporations with customizable conditions. This work highlights the HTME’s potential to significantly accelerate synthetic biology Design-Build-Test-Learn (DBTL) cycles by mitigating the transformation/transfection bottleneck. Less
Millions of platelet units are needed each year to manage thrombocytopenia and other conditions linked to excessive bleeding These life-saving treatments still depend entirely on donated platelets despite the numerous shortcomings associated with them such as limited shelf life supply shortages unpredictable functionality potential for infection as well as immune-incompatibility issues These challenges could be overcome with universal donor platelets generated from human induced pluripotent stem cell hiPSC -derived megakaryocytes MKs We recently developed expandable hiPSC-derived megakaryocytic cell lines imMKCLs as a potentially unlimited source for platelet production imMKCL-derived platelets are functional and have already been tested in patients In ... More
Millions of platelet units are needed each year to manage thrombocytopenia and other conditions linked to excessive bleeding. These life-saving treatments still depend entirely on donated platelets, despite the numerous shortcomings associated with them, such as limited shelf life, supply shortages, unpredictable functionality, potential for infection, as well as immune-incompatibility issues. These challenges could be overcome with universal donor platelets generated from human induced pluripotent stem cell (hiPSC)-derived megakaryocytes (MKs). We recently developed expandable hiPSC-derived megakaryocytic cell lines (imMKCLs) as a potentially unlimited source for platelet production. imMKCL-derived platelets are functional and have already been tested in patients. In this study, we demonstrate through single-cell time-course imaging that imMKCL maturation is heterogeneous and asynchronous, with only a few imMKCLs generating platelets at any given time under static culture conditions. Using a chemical screen, we identify microtubule (MT) destabilizing agents, including vincristine (VCR), as promising hits, with a larger proportion of VCR-exposed imMKCLs developing proplatelet extensions and more platelets being produced per imMKCL. VCR use reduces the MT content of imMKCLs and results in the production of platelets with a diminished peripheral MT ring structure. Nevertheless, these platelets are functional, as evidenced by their normal response to agonists, their ability to attach to and spread on fibrinogen-coated surfaces, and their capacity to restore hemostasis in vivo. Interestingly, we also observed a negative correlation between the MT content of imMKCLs and platelet yields when we compared imMKCLs differentiated under static conditions (MThigh, low yield) to our turbulence-optimized VerMES™ bioreactor (MTlow, high yield). Taken together, our findings highlight the importance of MT dynamics in megakaryocyte biology, provide a possible explanation for the still poorly understood link between vinca alkaloid in vivo use and thrombocytosis, and bring us closer to realizing the clinical potential of affordable, off-the-shelf hiPSC-derived platelets. Less
ADP-ribosylation is an enzymatic process where an ADP-ribose moiety is transferred from NAD to an acceptor molecule While ADP-ribosylation is well-established as a post-translational modification of proteins rifamycin antibiotics are its only known small-molecule targets ADP-ribosylation of rifampicin was first identified in Mycolicibacterium smegmatis whose Arr enzyme transfers the ADP-ribose moiety to the -hydroxy group of rifampicin preventing its interaction with the bacterial RNA polymerase thereby inactivating the antibiotic Arr homologues are widely spread among bacterial species and present in several pathogenic species often associated with mobile genetic elements Inhibition of Arr enzymes offers a promising strategy to overcome ADP-ribosylation ... More
ADP-ribosylation is an enzymatic process where an ADP-ribose moiety is transferred from NAD+ to an acceptor molecule. While ADP-ribosylation is well-established as a post-translational modification of proteins, rifamycin antibiotics are its only known small-molecule targets. ADP-ribosylation of rifampicin was first identified in Mycolicibacterium smegmatis, whose Arr enzyme transfers the ADP-ribose moiety to the 23-hydroxy group of rifampicin preventing its interaction with the bacterial RNA polymerase thereby inactivating the antibiotic. Arr homologues are widely spread among bacterial species and present in several pathogenic species often associated with mobile genetic elements. Inhibition of Arr enzymes offers a promising strategy to overcome ADP-ribosylation mediated rifamycin resistance. We developed a high-throughput activity assay, which was applied to screen an in-house library of human ADP-ribosyltransferase-targeted compounds. We identified 15 inhibitors with IC50 values below 5 µM against four Arr enzymes from M. smegmatis, Pseudomonas aeruginosa, Stenotrophomonas maltophilia and Mycobacteroides abscessus. The observed overall selectivity of the hit compounds over the other homologues indicated structural differences between the proteins. We crystallized M. smegmatis and P. aeruginosa Arr enzymes, the former in complex with its most potent hit compound with an IC50 value of 1.3 µM. We observed structural differences in the NAD+ binding pockets of the two Arr homologues explaining the selectivity. Although the Arr inhibitors did not sensitize M. smegmatis to rifampicin in a growth inhibition assay, the structural information and the collection of inhibitors provide a foundation for rational modifications and further development of the compounds. Less
Microbial production of target molecules has advanced significantly in recent years driven by innovations in enzyme engineering DNA synthesis and genomic editing However to access the massive potential of microbial production a vast parametric space remains to be investigated to optimize these biobased processes for a robust bioeconomy Here we review the current state of the art some key challenges and possible solutions We see a critical role of automation high-throughput technologies self-driving and cloud labs and data management to enable Artificial Intelligence Machine Learning and mechanistic models to overcome the design space challenges and accelerate the development of novel ... More
Microbial production of target molecules has advanced significantly in recent years driven by innovations in enzyme engineering, DNA synthesis, and genomic editing. However, to access the massive potential of microbial production, a vast parametric space remains to be investigated to optimize these biobased processes for a robust bioeconomy. Here, we review the current state of the art, some key challenges and possible solutions. We see a critical role of automation, high-throughput technologies, self-driving and cloud labs, and data management to enable Artificial Intelligence/Machine Learning and mechanistic models to overcome the design space challenges and accelerate the development of novel bio-based solutions. Accurate models will expedite the development and scale-up of engineered microbes for a range of final products from many starting materials. Less
Mobile phones contaminated with pathogenic microorganisms have the potential to act as trojan horses The microbial signatures present on their surfaces most probably vary across different geographical regions As a result mobile phones belonging to international conference attendees may serve as a model for global microbial dissemination posing potential risks to public health and biosecurity This study aimed to profile the microbes present on mobile phones belonging to delegates attending an international scientific conference through use of metagenomic shotgun DNA sequencing Results A total of microbial hits were accumulated across mobile phones inclusive of bacteria viruses fungi and protozoa Of ... More
Mobile phones, contaminated with pathogenic microorganisms, have
the potential to act as “trojan horses”. The microbial signatures present on their surfaces most probably vary across different geographical regions. As a result, mobile phones belonging to
international conference attendees may serve as a model for global microbial dissemination,
posing potential risks to public health and biosecurity. This study aimed to profile the microbes present on mobile phones belonging to delegates
attending an international scientific conference through use of metagenomic shotgun DNA
sequencing. Results: A total of 2204 microbial hits were accumulated across 20 mobile phones inclusive of
882 bacteria, 1229 viruses, 88 fungi and 5 protozoa. Of particular concern was the identification of 65 distinct antibiotic resistance genes and 86 virulence genes. Plant, animal and human
pathogens, including ESKAPE and HACEK bacteria were found on mobile phones Less
the potential to act as “trojan horses”. The microbial signatures present on their surfaces most probably vary across different geographical regions. As a result, mobile phones belonging to
international conference attendees may serve as a model for global microbial dissemination,
posing potential risks to public health and biosecurity. This study aimed to profile the microbes present on mobile phones belonging to delegates
attending an international scientific conference through use of metagenomic shotgun DNA
sequencing. Results: A total of 2204 microbial hits were accumulated across 20 mobile phones inclusive of
882 bacteria, 1229 viruses, 88 fungi and 5 protozoa. Of particular concern was the identification of 65 distinct antibiotic resistance genes and 86 virulence genes. Plant, animal and human
pathogens, including ESKAPE and HACEK bacteria were found on mobile phones Less
Personalised cell therapies utilising T cell receptors TCRs show tremendous clinical promise though TCR synthesis and validation techniques lag far behind current TCR repertoire sequencing capacity To address this gap we developed makeTCR a modular TCR cloning system that enables rapid single-step fidelity assembly of human or murine TCR sequences into diverse expression vectors We provide pre-cloned modules for and TCRs as well as many native and engineered constant regions We show how implementing cell-free manufacturing both facilitates the propagation of precloned modules and allows testable TCR material to be synthesised in hours enabling patient-derived TCRs to be prototyped prior ... More
Personalised cell therapies utilising T cell receptors (TCRs) show tremendous clinical promise, though TCR synthesis and validation techniques lag far behind current TCR repertoire sequencing capacity. To address this gap we developed makeTCR: a modular TCR cloning system that enables rapid, single-step, 100% fidelity assembly of human or murine TCR sequences into diverse expression vectors. We provide pre-cloned modules for αβ and γδ TCRs, as well as many native and engineered constant regions. We show how implementing cell-free manufacturing both facilitates the propagation of precloned modules, and allows testable TCR material to be synthesised in 24 hours, enabling patient-derived TCRs to be prototyped prior to use in personalised cell therapies. makeTCR scales to making thousands of TCRs, at high fidelity and at substantially reduced cost. makeTCR is facilitated by a free, open-source, extensible, graphical platform to simplify, standardise, and accelerate TCR functionality testing for personalised medicine and beyond. Less
Background Selective and potent Toll-like receptor TLR agonists are currently under evaluation in preclinical models and clinical studies to understand how the innate immune system can be harnessed for therapeutic potential These molecules are designed to modulate innate and adaptive immune responses making them promising therapeutic candidates for treating diseases such as cancer or chronic viral infections Much is known about the expression and signaling of TLRs which varies based on cell type cellular localization and tissue distribution However the downstream effects of different TLR agonists on cellular populations and phenotypes are not well understood This study aimed to investigate ... More
Background: Selective and potent Toll-like receptor (TLR) agonists are currently under evaluation in preclinical models and clinical studies to understand how the innate immune system can be harnessed for therapeutic potential. These molecules are designed to modulate innate and adaptive immune responses, making them promising therapeutic candidates for treating diseases such as cancer or chronic viral infections. Much is known about the expression and signaling of TLRs which varies based on cell type, cellular localization, and tissue distribution. However, the downstream effects of different TLR agonists on cellular populations and phenotypes are not well understood. This study aimed to investigate the impact of TLR pathway stimulation on peripheral blood mononuclear cell (PBMC) cultures from people living with HIV (PLWH) and healthy donors.
Methods: The effects of TLR4, TLR7, TLR7/8, TLR8 and TLR9 agonists were evaluated on cytokine production, cell population frequencies, and morphological characteristics of PBMC cultures over time. Changes in the proportions of different cell populations in blood and morphological features were assessed using high-content imaging and analyzed using an AI-driven approach.
Results: TLR4 and TLR8 agonists promoted a compositional shift and accumulation of small round (lymphocyte-like) PBMCs, whereas TLR9 agonists led to an accumulation of large round (myeloid-like) PBMCs. A related increase was observed in markers of cell death, most prominently with TLR4 and TLR8 agonists. All TLR agonists were shown to promote some features associated with cellular migration. Furthermore, a comparison of TLR agonist responses in healthy and HIV-positive PBMCs revealed pronounced differences in cytokine/chemokine responses and morphological cellular features. Most notably, higher actin contraction and nuclear fragmentation was observed in response to TLR4, TLR7, TLR7/8 and TLR9 agonists for antiretroviral therapy (ART)-suppressed PLWH versus healthy PBMCs.
Conclusions: These data suggest that machine learning, combined with cell imaging and cytokine quantification, can be used to better understand the cytological and soluble immune responses following treatments with immunomodulatory agents in vitro. In addition, comparisons of these responses between disease states are possible with the appropriate patient samples. Less
Methods: The effects of TLR4, TLR7, TLR7/8, TLR8 and TLR9 agonists were evaluated on cytokine production, cell population frequencies, and morphological characteristics of PBMC cultures over time. Changes in the proportions of different cell populations in blood and morphological features were assessed using high-content imaging and analyzed using an AI-driven approach.
Results: TLR4 and TLR8 agonists promoted a compositional shift and accumulation of small round (lymphocyte-like) PBMCs, whereas TLR9 agonists led to an accumulation of large round (myeloid-like) PBMCs. A related increase was observed in markers of cell death, most prominently with TLR4 and TLR8 agonists. All TLR agonists were shown to promote some features associated with cellular migration. Furthermore, a comparison of TLR agonist responses in healthy and HIV-positive PBMCs revealed pronounced differences in cytokine/chemokine responses and morphological cellular features. Most notably, higher actin contraction and nuclear fragmentation was observed in response to TLR4, TLR7, TLR7/8 and TLR9 agonists for antiretroviral therapy (ART)-suppressed PLWH versus healthy PBMCs.
Conclusions: These data suggest that machine learning, combined with cell imaging and cytokine quantification, can be used to better understand the cytological and soluble immune responses following treatments with immunomodulatory agents in vitro. In addition, comparisons of these responses between disease states are possible with the appropriate patient samples. Less
Insulin is a key hormone in glucose homeostasis Its lack causes severe health complications and has to be compensated by regular administration of insulin Despite intense long-lasting research a more stable substitute has yet to be discovered to alleviate patients' issues Here we report the development of a novel assay for screening potential insulin analogues based on the recently published method DIANA Our assay meets the need for a fast non-radioactive method as a sensitive alternative to the commonly used radioactive immunoassay
Cells of the myeloid lineage particularly monocytes and macrophages play a key role in HIV infection by contributing to viral replication immune response and maintaining immune balance during suppressive therapy We hypothesized that metabolic reprogramming and altered chemokine signaling in people living with HIV PWH on long-term antiretroviral therapy ART affect monocyte transport and polarization due to ongoing inflammation Therefore the present study aimed to identify the mechanism of impaired monocyte macrophage function in PWH on well-treated ART that can lead to clinical intervention strategies to improve health Single-cell RNA sequencing immune-phenotyping and metabolic modeling identified altered expression of chemokine ... More
Cells of the myeloid lineage, particularly monocytes and macrophages, play a key role in HIV infection by contributing to viral replication, immune response, and maintaining immune balance during suppressive therapy. We hypothesized that metabolic reprogramming and altered chemokine signaling in people living with HIV (PWH) on long-term antiretroviral therapy (ART) affect monocyte transport and polarization due to ongoing inflammation. Therefore, the present study aimed to identify the mechanism of impaired monocyte/macrophage function in PWH on well-treated ART that can lead to clinical intervention strategies to improve health. Single-cell RNA sequencing, immune-phenotyping, and metabolic modeling identified altered expression of chemokine and metabolite receptors and altered metabolic flux in PWH monocytes that decreased monocyte migration. The plasma secretome revealed a nonclassical inflammatory microenvironment in PWH. Integrative multi-omics and single-cell proteomics of differentiated monocyte-derived macrophages (MDMs) detected metabolic reprogramming orchestrated by α-ketoglutarate (AKG) that affected macrophage function and HIV infection. Increased levels of AKG in plasma were shown to occur in PWH under ART. Therefore, when differentiating MDM with serum from PWH or AKG, macrophage function was found polarized towards an M2-like state. AKG alone was shown to increase CCR5 levels and increase HIV-1 infection in MDM. Here, we utilize systems biology-driven identification and ex vivo assays to show impaired macrophage polarization, due to metabolic training, can leads to a low-grade nonclassical inflammatory environment in well-treated PWH. Less
The genus Streptomyces are valuable producers of antibiotics and other pharmaceutically important bioactive compounds Advances in molecular engineering tools such as CRISPR have provided some access to the metabolic potential of Streptomyces but efficient genetic engineering of strains is hindered by laborious and slow manual transformation protocols In this paper we present a semi-automated medium-throughput workflow for the introduction of recombinant DNA into Streptomyces spp using the affordable and open-sourced Opentrons OT- robotics platform To increase the accessibility of the workflow we provide an open-source protocol-creator ActinoMation ActinoMation is a literate programming environment using Python in Jupyter Notebook We validated ... More
The genus Streptomyces are valuable producers of antibiotics and other pharmaceutically important bioactive compounds. Advances in molecular engineering tools, such as CRISPR, have provided some access to the metabolic potential of Streptomyces, but efficient genetic engineering of strains is hindered by laborious and slow manual transformation protocols. In this paper, we present a semi-automated medium-throughput workflow for the introduction of recombinant DNA into Streptomyces spp. using the affordable and open-sourced Opentrons (OT-2) robotics platform. To increase the accessibility of the workflow we provide an open-source protocol-creator, ActinoMation. ActinoMation is a literate programming environment using Python in Jupyter Notebook. We validated the method by transforming Streptomyces coelicolor (M1152 and M1146), S. albidoflavus (J1047), and S. venezuelae (DSM40230) with the plasmids pSETGUS and pIJ12551. We demonstrate conjugation efficiencies of 3.33*10-3/0.33% for M1152 with pSETGUS and pIJ12551; 2.96*10-3/0.29%for M1146 with pSETGUS and pIJ12551; 1.21*10-5/0.0012% for J1047 with pSETGUS and 4.70*10-4/0.047% with pIJ12551, and 4.97*10-2/4.97% for DSM40230 with pSETGUS and 6.13*10-2 /6.13% with pIJ12551 with a false positive rate between 8.33% and 54.54%. Automation of the conjugation workflow facilitates a streamlined workflow on a larger scale without any evident loss of conjugation efficiency. Less
Single-cell transcriptomics is a key tool for unravelling metabolism and tissue diversity in model organisms Its potential for elucidating the ecological roles of microeukaryotes especially non-model ones remains largely unexplored This study employed the Smart-seq protocol on Ochromonas triangulata a microeukaryote lacking a reference genome showcasing how transcriptional states align with two distinct growth phases a fast-growing phase and a slow-growing phase Besides the two expected expression clusters each corresponding to either growth phase a third transcriptional state was identified across both growth phases Metabolic mapping revealed a boost of photosynthetic activity in the fast growth over the slow growth ... More
Single-cell transcriptomics is a key tool for unravelling metabolism and tissue diversity in model organisms. Its potential for elucidating the ecological roles of microeukaryotes, especially non-model ones, remains largely unexplored. This study employed the Smart-seq2 protocol on Ochromonas triangulata, a microeukaryote lacking a reference genome, showcasing how transcriptional states align with two distinct growth phases: a fast-growing phase and a slow-growing phase. Besides the two expected expression clusters, each corresponding to either growth phase, a third transcriptional state was identified across both growth phases. Metabolic mapping revealed a boost of photosynthetic activity in the fast growth over the slow growth stage, as well as down-regulation trend in pathways associated with ribosome functioning, CO2 fixation, and carbohydrate catabolism characteristic of the third transcriptional state. In addition, carry-over rRNA reads recapitulated the taxonomic identity of the target while revealing distinct bacterial communities, in co-culture with the eukaryote, each associated with distinct transcriptional states. This study underscores single-cell transcriptomics as a powerful tool for characterizing metabolic states in microeukaryotes without a reference genome, offering insights into unknown physiological states and individual-level interactions with different bacterial taxa. This approach holds broad applicability to describe the ecological roles of environmental microeukaryotes, culture-free and reference-free, surpassing alternative methods like metagenomics or metatranscriptomics. Less
Non-alcoholic fatty liver disease NAFLD - characterized by excess accumulation of fat in the liver - now affects one third of the world s population As NAFLD progresses extracellular matrix components including collagen accumulate in the liver causing tissue fibrosis a major determinant of disease severity and mortality To identify transcriptional regulators of fibrosis we computationally inferred the activity of transcription factors TFs relevant to fibrosis by profiling the matched transcriptomes and epigenomes of human liver biopsies from a deeply-characterized cohort of patients spanning the full histopathologic spectrum of NAFLD CRISPR-based genetic knockout of the top TFs identified ZNF as ... More
Non-alcoholic fatty liver disease (NAFLD) - characterized by excess accumulation of fat in the liver - now affects one third of the world’s population. As NAFLD progresses, extracellular matrix components including collagen accumulate in the liver causing tissue fibrosis, a major determinant of disease severity and mortality. To identify transcriptional regulators of fibrosis, we computationally inferred the activity of transcription factors (TFs) relevant to fibrosis by profiling the matched transcriptomes and epigenomes of 108 human liver biopsies from a deeply-characterized cohort of patients spanning the full histopathologic spectrum of NAFLD. CRISPR-based genetic knockout of the top 100 TFs identified ZNF469 as a regulator of collagen expression in primary human hepatic stellate cells (HSCs). Gain- and loss-of-function studies established that ZNF469 regulates collagen genes and genes involved in matrix homeostasis through direct binding to gene bodies and regulatory elements. By integrating multiomic large-scale profiling of human biopsies with extensive experimental validation we demonstrate that ZNF469 is a transcriptional regulator of collagen in HSCs. Overall, these data nominate ZNF469 as a previously unrecognized determinant of NAFLD-associated liver fibrosis. Less
The local arrangement of microbes can profoundly impact community assembly function and stability However our understanding of the spatial organization of the human gut microbiome at the micron scale is limited Here we describe a high-throughput and streamlined method called Split-And-pool Metagenomic Plot-sampling sequencing SAMPL-seq to capture spatial co-localization in a complex microbial consortium The method obtains microbial composition of micron-scale subcommunities through split-and-pool barcoding SAMPL-seq analysis of the healthy human gut microbiome identified bacterial taxa pairs that consistently co-occurred both over time and across multiple individuals These co-localized microbes organize into spatially distinct groups or spatial hubs dominated by ... More
The local arrangement of microbes can profoundly impact community assembly, function and stability. However, our understanding of the spatial organization of the human gut microbiome at the micron scale is limited. Here we describe a high-throughput and streamlined method called Split-And-pool Metagenomic Plot-sampling sequencing (SAMPL-seq) to capture spatial co-localization in a complex microbial consortium. The method obtains microbial composition of micron-scale subcommunities through split-and-pool barcoding. SAMPL-seq analysis of the healthy human gut microbiome identified bacterial taxa pairs that consistently co-occurred both over time and across multiple individuals. These co-localized microbes organize into spatially distinct groups or ‘spatial hubs’ dominated by Bacteroidaceae, Ruminococcaceae and Lachnospiraceae families. Using inulin as a dietary perturbation, we observed reversible spatial rearrangement of the gut microbiome where specific taxa form new local partnerships. Spatial metagenomics using SAMPL-seq can unlock insights into microbiomes at the micron scale. Less
ackground The Safety and Immunogenicity of COVID- Vaccines in Systemic Autoimmune-Mediated Inflammatory Diseases SUCCEED study was created to better understand COVID- vaccination in immune-mediated inflammatory disease IMID Knowing the frequency of COVID- breakthrough infections is important particularly in IMID Our objective was to assess these events in IMID Methods We prospectively studied IMID participants who had received three COVID- vaccine doses Individuals provided saliva samples monthly September to August These were evaluated by polymerase chain reaction PCR for SARS-CoV- We also assessed antibodies against SARS-CoV- anti-spike SmT receptor binding domain RBD and nucleocapsid NP based on dried blood spots Multivariable ... More
ackground: The Safety and Immunogenicity of COVID-19 Vaccines in Systemic Autoimmune-Mediated Inflammatory Diseases (SUCCEED) study was created to better understand COVID-19 vaccination in immune-mediated inflammatory disease (IMID). Knowing the frequency of COVID-19 breakthrough infections is important, particularly in IMID. Our objective was to assess these events in IMID. Methods: We prospectively studied IMID participants who had received ≥three COVID-19 vaccine doses. Individuals provided saliva samples monthly (September 2022 to August 2023). These were evaluated by polymerase chain reaction (PCR) for SARS-CoV-2. We also assessed antibodies against SARS-CoV-2 (anti-spike, SmT1, receptor binding domain, RBD, and nucleocapsid, NP) based on dried blood spots. Multivariable general estimating equation regression produced odd ratios (OR) for PCR SARS-CoV-2 positivity, related to demographics, immunosuppressives, and antibody levels. Results: Diagnoses included rheumatoid arthritis RA (N = 161, 44% of the total), systemic lupus, psoriatic arthritis, spondylarthritis, vasculitis, systemic sclerosis, and inflammatory bowel disease. Of the 366 participants, most were taking immunosuppressive medication. Of 1266 saliva samples, 56 (5.1%) were positive for SARS-CoV-2 on PCR. Higher anti-SmT1 antibodies were inversely associated with SARS-CoV-2 detection on PCR (adjusted OR 0.66, 95% confidence interval 0.45–0.97). Antibodies to SmT1, RBD, and NP were correlated and thus could not be included in a single model, but when anti-RBD was used in place of anti-SmT1, the results were similar. No other factor (including prior COVID-19 infection) was clearly associated with SARS-CoV-2 detection. Conclusions: This is the first study of SARS-CoV-2 in a large prospective cohort of triple (or more) vaccinated individuals with IMIDs. Anti-SmT1 antibodies appeared to be protective against later SARS-CoV-2 positivity, although recent past infection was not clearly related. This suggests the importance of maintaining robust vaccine-induced immunity through vaccination in IMID. Less
Recombinant adeno-associated virus rAAV has emerged as the vector of choice for in vivo gene delivery with numerous clinical trials underway for the treatment of various human diseases Utilizing rAAV in gene therapy requires a highly precise quantification method to determine the viral genome titer and further establish the optimal therapeutic dosage for a rAAV product The conventional single-channel droplet digital PCR D ddPCR method offers only partial information regarding the viral vector genome titer lacking insights into its integrity In our pursuit of further advancing rAAV analysis we have developed a novel D ddPCR assay with advanced D linkage ... More
Recombinant adeno-associated virus (rAAV) has emerged as the vector of choice for in vivo gene delivery, with numerous clinical trials underway for the treatment of various human diseases. Utilizing rAAV in gene therapy requires a highly precise quantification method to determine the viral genome titer and further establish the optimal therapeutic dosage for a rAAV product. The conventional single-channel droplet digital PCR (1D ddPCR) method offers only partial information regarding the viral vector genome titer, lacking insights into its integrity. In our pursuit of further advancing rAAV analysis, we have developed a novel 3D ddPCR assay with advanced 3D linkage analysis. We have designed the three amplicon sites targeting both ends of the viral genome, as well as the center of key therapeutic gene of interest (GOI). This study aims to offer a more comprehensive and insightful assessment of rAAV products which includes not only quantity of viral genome titer but also the quality, distinguishing between partial ones and intact full-length viral genomes with the right GOI. Importantly, due to the random partitioning property of a digital PCR system, the 3D linkage analysis of rAAV viral genome requires a proper mathematical model to identify the true linked DNA molecules (full-length/intact DNA) from the population of false/unlinked DNA molecules (fragmented/partial DNA). We therefore have developed an AAV 3D linkage analysis workflow to characterize genomic integrity and intact titer for rAAV gene therapy products. In this study, we focus on evaluating our 3D linkage mathematical model by performing DNA mixing experiments and a case study using multiple rAAV samples. Particularly, we rigorously tested our algorithms by conducting experiments involving the mixing of seven DNA fragments to represent various AAV viral genome populations, including 3 single partials, 3 double partials, and 1 full-length genomes. Across all 37 tested scenarios, we validated the accuracy of our workflow’s output for the percentages of 3D linkage by comparing to the known percentages of input DNA. Consequently, our comprehensive AAV analytical package not only offers insights into viral genome titer but also provides valuable information on its integrity and identity. This cost-effective approach, akin to the setup of traditional 1D or 2D dPCR, holds the potential to advance the application of rAAV in cell and gene therapy for the treatment of human diseases. Less
Background Whole genome resequencing WGRS platforms provide exceptional fingerprinting of the entire genome but are expensive and less flexible to use as a routine genotyping tool for targeting causal polymorphisms within a germplasm collection or breeding program Therefore there has been a continuous effort to develop small-scale genotyping platforms that facilitate robust and quick assessments of the allelic status of causal variants for important traits within soybean breeding programs The objective was to develop a comprehensive panel of soybean cyst nematode SCN resistance TaqMan assays via selecting the causative genes and analyzing their associated alleles Methods The Soybean Allele Catalog ... More
Background
Whole genome resequencing (WGRS) platforms provide exceptional fingerprinting of the entire genome but are expensive and less flexible to use as a routine genotyping tool for targeting causal polymorphisms within a germplasm collection or breeding program. Therefore, there has been a continuous effort to develop small-scale genotyping platforms that facilitate robust and quick assessments of the allelic status of causal variants for important traits within soybean breeding programs. The objective was to develop a comprehensive panel of soybean cyst nematode (SCN) resistance TaqMan® assays via selecting the causative genes and analyzing their associated alleles.
Methods
The Soybean Allele Catalog was utilized to investigate WGRS-derived variants which are predicted to cause a change in the amino acid sequence of a gene product. This panel of TaqMan® assays reflects current knowledge about known SCN resistance-causing genes and their associated alleles: GmSNAP18-a and -b, GmSNAP11, GmSHMT08, GmSNAP15, GmNSFRAN07, and GmSNAP02-ins and -del. Developed assays were tested using elite breeding lines and segregating populations. TaqMan assays were compared to other currently available KASP and CAPS assays.
Conclusion
All assays showed excellent allele determination efficiencies. This SCN genotyping assay panel can be utilized as a simplified, accurate and reliable genotyping platform further equipping the updated soybean breeding toolbox. Less
Whole genome resequencing (WGRS) platforms provide exceptional fingerprinting of the entire genome but are expensive and less flexible to use as a routine genotyping tool for targeting causal polymorphisms within a germplasm collection or breeding program. Therefore, there has been a continuous effort to develop small-scale genotyping platforms that facilitate robust and quick assessments of the allelic status of causal variants for important traits within soybean breeding programs. The objective was to develop a comprehensive panel of soybean cyst nematode (SCN) resistance TaqMan® assays via selecting the causative genes and analyzing their associated alleles.
Methods
The Soybean Allele Catalog was utilized to investigate WGRS-derived variants which are predicted to cause a change in the amino acid sequence of a gene product. This panel of TaqMan® assays reflects current knowledge about known SCN resistance-causing genes and their associated alleles: GmSNAP18-a and -b, GmSNAP11, GmSHMT08, GmSNAP15, GmNSFRAN07, and GmSNAP02-ins and -del. Developed assays were tested using elite breeding lines and segregating populations. TaqMan assays were compared to other currently available KASP and CAPS assays.
Conclusion
All assays showed excellent allele determination efficiencies. This SCN genotyping assay panel can be utilized as a simplified, accurate and reliable genotyping platform further equipping the updated soybean breeding toolbox. Less
T cells are key players in adaptive immunity The specificity of T cells is determined by the sequences of the hypervariable T cell receptor TCR and chains Although bulk TCR sequencing offers a cost-effective approach for in-depth TCR repertoire profiling it does not provide chain pairings which are essential for determining T cell specificity In contrast single-cell TCR sequencing technologies produce paired chain data but are limited in throughput to thousands of cells and are cost-prohibitive for cohort-scale studies Here we present TIRTL-seq Throughput-Intensive Rapid TCR Library sequencing a novel approach that generates ready-to-sequence TCR libraries from live cells in ... More
ɑ/β T cells are key players in adaptive immunity. The specificity of T cells is determined by the sequences of the hypervariable T cell receptor (TCR) ɑ and β chains. Although bulk TCR sequencing offers a cost-effective approach for in-depth TCR repertoire profiling, it does not provide chain pairings, which are essential for determining T cell specificity. In contrast, single-cell TCR sequencing technologies produce paired chain data, but are limited in throughput to thousands of cells and are cost-prohibitive for cohort-scale studies. Here, we present TIRTL-seq (Throughput-Intensive Rapid TCR Library sequencing), a novel approach that generates ready-to-sequence TCR libraries from live cells in less than 7 hours. The protocol is optimized for use with non-contact liquid handlers in an automation-friendly 384-well plate format. Reaction volume miniaturization reduces library preparation costs to <$0.50 per well. The core principle of TIRTL-seq is the parallel generation of hundreds of libraries providing multiple biological replicates from a single sample that allows precise inference of both frequencies of individual clones and TCR chain pairings from well-occurrence patterns. We demonstrate scalability of our approach up to 1 million unique paired αβTCR clonotypes corresponding to over 30 million T cells per sample at a cost of less than $2000. For a sample of 10 million cells the cost is ~$200. We benchmarked TIRTL-seq against state-of-the-art 5'RACE bulk TCR-seq and 10x Genomics Chromium technologies on longitudinal samples. We show that TIRTL-seq is able to quantitatively identify expanding and contracting clonotypes between timepoints while providing accurate TCR chain pairings, including distinct temporal dynamics of SARS-CoV-2-specific and EBV-specific CD8+ T cell responses after infection. While clonal expansion was followed by sharp contraction for SARS-CoV-2 specific TCRs, EBV-specific TCRs remained stable once established. The sequences of both ɑ and β TCR chains are essential for determining T cell specificity. As the field moves towards greater applications in diagnostics and immunotherapy that rely on TCR specificity, we anticipate that our scalable paired TCR sequencing methodology will be instrumental for collecting large paired-chain datasets and ultimately extracting therapeutically relevant information from the TCR repertoire. Less
We developed an automated high-throughput Smart-seq HT Smart-seq workflow that integrates best practices and an optimized protocol to enhance efficiency scalability and method reproducibility This workflow consistently produces high-quality data with high cell capture efficiency and gene detection sensitivity In a rigorous comparison with the X platform using human primary CD T-cells HT Smart-seq demonstrated higher cell capture efficiency greater gene detection sensitivity and lower dropout rates Additionally when sufficiently scaled HT Smart-seq achieved a comparable resolution of cellular heterogeneity to X Notably through T-cell receptor TCR reconstruction HT Smart-seq identified a greater number of productive alpha and beta chain ... More
We developed an automated high-throughput Smart-seq3 (HT Smart-seq3) workflow that integrates best practices and an optimized protocol to enhance efficiency, scalability, and method reproducibility. This workflow consistently produces high-quality data with high cell capture efficiency and gene detection sensitivity. In a rigorous comparison with the 10X platform using human primary CD4 + T-cells, HT Smart-seq3 demonstrated higher cell capture efficiency, greater gene detection sensitivity, and lower dropout rates. Additionally, when sufficiently scaled, HT Smart-seq3 achieved a comparable resolution of cellular heterogeneity to 10X. Notably, through T-cell receptor (TCR) reconstruction, HT Smart-seq3 identified a greater number of productive alpha and beta chain pairs without the need for additional primer design to amplify full-length V(D)J segments, enabling more comprehensive TCR profiling across a broader range of species. Taken together, HT Smart-seq3 overcomes key technical challenges, offering distinct advantages that position it as a promising solution for the characterization of single-cell transcriptomes and immune repertoires, particularly well-suited for low-input, low-RNA content samples. Less
Primordial follicle activation PFA is a pivotal event in female reproductive biology coordinating the transition from quiescent to growing follicles This study employed comprehensive single-cell RNA sequencing to gain insights into the detailed regulatory mechanisms governing the synchronized dormancy and activation between granulosa cells GCs and oocytes with the progression of the PFA process Wntless Wls conditional knockout cKO mice served as a unique model suppressing the transition from pre-GCs to GCs and disrupting somatic cell-derived WNT signaling in the ovary Our data revealed immediate transcriptomic changes in GCs post-PFA in Wls cKO mice leading to a divergent trajectory while ... More
Primordial follicle activation (PFA) is a pivotal event in female reproductive biology, coordinating the transition from quiescent to growing follicles. This study employed comprehensive single-cell RNA sequencing to gain insights into the detailed regulatory mechanisms governing the synchronized dormancy and activation between granulosa cells (GCs) and oocytes with the progression of the PFA process. Wntless (Wls) conditional knockout (cKO) mice served as a unique model, suppressing the transition from pre-GCs to GCs, and disrupting somatic cell-derived WNT signaling in the ovary. Our data revealed immediate transcriptomic changes in GCs post-PFA in Wls cKO mice, leading to a divergent trajectory, while oocytes exhibited modest transcriptomic alterations. Subpopulation analysis identified the molecular pathways affected by WNT signaling on GC maturation, along with specific gene signatures linked to dormant and activated oocytes. Despite minimal evidence of continuous up-regulation of dormancy-related genes in oocytes, the loss of WNT signaling in (pre-)GCs impacted gene expression in oocytes even before PFA, subsequently influencing them globally. The infertility observed in Wls cKO mice was attributed to compromised GC-oocyte molecular crosstalk and the microenvironment for oocytes. Our study highlights the pivotal role of the WNT-signaling pathway and its molecular signature, emphasizing the importance of intercellular crosstalk between (pre-)GCs and oocytes in orchestrating folliculogenesis. Less
Background Pseudomonas aeruginosa is the dominant pathogen causing lung infections in people with both cystic fibrosis CF and bronchiectasis associated with poorer outcomes Unlike CF bronchiectasis has been a neglected disease More extensive genomic studies of larger bronchiectasis patient cohorts and within patient sampling are needed to improve understanding of the evolutionary mechanisms underpinning P aeruginosa infections to guide novel and improved treatments Methods We have performed genome sequencing of P aeruginosa isolates from patients attending clinics worldwide to analyse the genomic diversity between and within patient infections Results We observed high genetic diversity between infections with low incidence of ... More
Background Pseudomonas aeruginosa is the dominant pathogen causing lung infections in people with both cystic fibrosis (CF) and bronchiectasis, associated with poorer outcomes. Unlike CF, bronchiectasis has been a neglected disease. More extensive genomic studies of larger bronchiectasis patient cohorts and within patient sampling are needed to improve understanding of the evolutionary mechanisms underpinning P. aeruginosa infections to guide novel and improved treatments.
Methods We have performed genome sequencing of 2,854 P. aeruginosa isolates from 180 patients attending clinics worldwide to analyse the genomic diversity between and within patient infections.
Results We observed high genetic diversity between infections with low incidence of highly transmissible strains. Our genomic data provide evidence for the mutational targets driving P. aeruginosa evolution in bronchiectasis. Some functions found to gain mutations were comparable to CF, including biofilm and iron acquisition, whilst others highlighted distinct evolutionary paths in bronchiectasis such as pyocin production and resistance, and a novel efflux pump gene (PA1874). We also show a high incidence of antimicrobial resistance-associated mutations and acquired resistance genes, in particular multidrug efflux and fluoroquinolone resistance mechanisms.
Conclusions Our findings highlight important differences between P. aeruginosa infections in bronchiectasis and CF and provide evidence of the relatively minor role transmissible strains play in bronchiectasis. Our study provides a 10-fold increase in the available genomic data for these infections and is a global resource to improve our knowledge and understanding, to facilitate better patient outcomes.
Summary The largest genomic study of Pseudomonas aeruginosa bronchiectasis isolates to-date, providing an unprecedented global genomic resource. We highlight important differences between bronchiectasis and cystic fibrosis, including key genes under selection. Less
Methods We have performed genome sequencing of 2,854 P. aeruginosa isolates from 180 patients attending clinics worldwide to analyse the genomic diversity between and within patient infections.
Results We observed high genetic diversity between infections with low incidence of highly transmissible strains. Our genomic data provide evidence for the mutational targets driving P. aeruginosa evolution in bronchiectasis. Some functions found to gain mutations were comparable to CF, including biofilm and iron acquisition, whilst others highlighted distinct evolutionary paths in bronchiectasis such as pyocin production and resistance, and a novel efflux pump gene (PA1874). We also show a high incidence of antimicrobial resistance-associated mutations and acquired resistance genes, in particular multidrug efflux and fluoroquinolone resistance mechanisms.
Conclusions Our findings highlight important differences between P. aeruginosa infections in bronchiectasis and CF and provide evidence of the relatively minor role transmissible strains play in bronchiectasis. Our study provides a 10-fold increase in the available genomic data for these infections and is a global resource to improve our knowledge and understanding, to facilitate better patient outcomes.
Summary The largest genomic study of Pseudomonas aeruginosa bronchiectasis isolates to-date, providing an unprecedented global genomic resource. We highlight important differences between bronchiectasis and cystic fibrosis, including key genes under selection. Less
A considerable number of antibacterial agents are derived from bacterial metabolites Similarly numerous known compounds that impede bacterial virulence stem from bacterial metabolites Enteropathogenic Escherichia coli EPEC is a notable human pathogen causing intestinal infections particularly affecting infant mortality in developing regions These infections are characterized by microvilli effacement and intestinal epithelial lesions linked with aberrant actin polymerization This study aimed to identify potential antivirulence compounds for EPEC infections among bacterial metabolites harvested from marine actinobacteria Kocuria sp and Rhodococcus spp from the Arctic Sea by the application of virulence-based screening assays Moreover we demonstrate the suitability of these antivirulence ... More
A considerable number of antibacterial agents are derived from bacterial metabolites. Similarly, numerous known compounds that impede bacterial virulence stem from bacterial metabolites. Enteropathogenic Escherichia coli (EPEC) is a notable human pathogen causing intestinal infections, particularly affecting infant mortality in developing regions. These infections are characterized by microvilli effacement and intestinal epithelial lesions linked with aberrant actin polymerization. This study aimed to identify potential antivirulence compounds for EPEC infections among bacterial metabolites harvested from marine actinobacteria (Kocuria sp. and Rhodococcus spp.) from the Arctic Sea by the application of virulence-based screening assays. Moreover, we demonstrate the suitability of these antivirulence assays to screen actinobacteria extract fractions for the bioassay-guided identification of metabolites. We discovered a compound in the fifth fraction of a Kocuria strain that interferes with EPEC-induced actin polymerization without affecting growth. Furthermore, a growth-inhibiting compound was identified in the fifth fraction of a Rhodococcus strain. Our findings include the bioassay-guided identification, HPLC-MS-based dereplication, and isolation of a large phospholipid and a likely antimicrobial peptide, demonstrating the usefulness of this approach in screening for compounds capable of inhibiting EPEC virulence. Less
Elevated bacterial sialidase activity in the female genital tract is strongly associated with poor health outcomes including preterm birth and bacterial vaginosis These negative effects may arise from sialidase-mediated degradation of the protective mucus layer in the cervicovaginal environment Prior biochemical studies of vaginal bacterial sialidases have focused solely on the bacterial vaginosis-associated organism Gardnerella vaginalis Despite their implications for sexual and reproductive health sialidases from other vaginal bacteria have not been characterized Here we show that vaginal Prevotella species produce active sialidases that possess variable activity toward mucin These sialidases are highly conserved across clades of Prevotella from different ... More
Elevated bacterial sialidase activity in the female genital tract is strongly associated with poor health outcomes including preterm birth and bacterial vaginosis. These negative effects may arise from sialidase-mediated degradation of the protective mucus layer in the cervicovaginal environment. Prior biochemical studies of vaginal bacterial sialidases have focused solely on the bacterial vaginosis-associated organism Gardnerella vaginalis. Despite their implications for sexual and reproductive health, sialidases from other vaginal bacteria have not been characterized. Here, we show that vaginal Prevotella species produce active sialidases that possess variable activity toward mucin. These sialidases are highly conserved across clades of Prevotella from different geographies, hinting at their importance globally. Finally, we find that Prevotella sialidases, including mucin-degrading enzymes from Prevotella timonensis, are highly prevalent and abundant in human vaginal metagenomes and metatranscriptomes, Together, our results identify Prevotella as a critical source of sialidases in the vaginal microbiome, improving our understanding of this detrimental bacterial activity. Less
Bacteria in nature often form surface-attached communities that initially comprise distinct subpopulations or patches For pathogens these patches can form at infection sites persist during antibiotic treatment and develop into mature biofilms Evidence suggests that patches can emerge due to heterogeneity in the growth environment and bacterial seeding as well as cell-cell signaling However it is unclear how these factors contribute to patch formation and how patch formation might affect bacterial survival and evolution Here we demonstrate that a 'rich-get-richer' mechanism drives patch formation in bacteria exhibiting collective survival CS during antibiotic treatment Modeling predicts that the seeding heterogeneity of ... More
Bacteria in nature often form surface-attached communities that initially comprise distinct subpopulations, or patches. For pathogens, these patches can form at infection sites, persist during antibiotic treatment, and develop into mature biofilms. Evidence suggests that patches can emerge due to heterogeneity in the growth environment and bacterial seeding, as well as cell-cell signaling. However, it is unclear how these factors contribute to patch formation and how patch formation might affect bacterial survival and evolution. Here, we demonstrate that a 'rich-get-richer' mechanism drives patch formation in bacteria exhibiting collective survival (CS) during antibiotic treatment. Modeling predicts that the seeding heterogeneity of these bacteria is amplified by local CS and global resource competition, leading to patch formation. Increasing the dose of a non-eradicating antibiotic treatment increases the degree of patchiness. Experimentally, we first demonstrated the mechanism using engineered Escherichia coli and then demonstrated its applicability to a pathogen, Pseudomonas aeruginosa. We further showed that the formation of P. aeruginosa patches promoted the evolution of antibiotic resistance. Our work provides new insights into population dynamics and resistance evolution during surface-attached bacterial growth. Less
Background Neutrophils the most abundant white blood cells in humans play pivotal roles in innate immunity rapidly migrating to sites of infection and inflammation to phagocytose neutralize and eliminate invading pathogens Neutrophil extracellular trap NET formation is increasingly recognized as an essential rapid innate immune response but when dysregulated it contributes to pathogenesis of sepsis and immunothrombotic disease Objectives Current NETosis models are limited routinely employing nonphysiological triggers that can bypass natural NET regulatory pathways Models utilizing isolated neutrophils and immortalized cell lines do not reflect the complex biology underlying neutrophil activation and NETosis that occurs in whole blood To ... More
Background
Neutrophils, the most abundant white blood cells in humans, play pivotal roles in innate immunity, rapidly migrating to sites of infection and inflammation to phagocytose, neutralize, and eliminate invading pathogens. Neutrophil extracellular trap (NET) formation is increasingly recognized as an essential rapid innate immune response, but when dysregulated, it contributes to pathogenesis of sepsis and immunothrombotic disease.
Objectives
Current NETosis models are limited, routinely employing nonphysiological triggers that can bypass natural NET regulatory pathways. Models utilizing isolated neutrophils and immortalized cell lines do not reflect the complex biology underlying neutrophil activation and NETosis that occurs in whole blood. To our knowledge, we report the first human ex vivo model utilizing naturally occurring molecules to induce NETosis in whole blood. This approach could be used for drug screening and, importantly, inadvertent activators of NETosis.
Methods
Here we describe a novel, high-throughput ex vivo whole blood–induced NETosis model using combinatorial pooling of native NETosis-inducing factors in a more biologically relevant Synthetic-Sepsis model.
Results
We found different combinations of factors evoked distinct neutrophil responses in the rate of NET generation and/or magnitude of NETosis. Despite interdonor variability, similar sets of proinflammatory molecules induced consistent responses across donors. We found that at least 3 biological triggers were necessary to induce NETosis in our system including either tumor necrosis factor-α or lymphotoxin-α.
Conclusion
These findings emphasize the importance of investigating neutrophil physiology in a biologically relevant context to enable a better understanding of disease pathology, risk factors, and therapeutic targets, potentially providing novel strategies for disease intervention and treatment. Less
Neutrophils, the most abundant white blood cells in humans, play pivotal roles in innate immunity, rapidly migrating to sites of infection and inflammation to phagocytose, neutralize, and eliminate invading pathogens. Neutrophil extracellular trap (NET) formation is increasingly recognized as an essential rapid innate immune response, but when dysregulated, it contributes to pathogenesis of sepsis and immunothrombotic disease.
Objectives
Current NETosis models are limited, routinely employing nonphysiological triggers that can bypass natural NET regulatory pathways. Models utilizing isolated neutrophils and immortalized cell lines do not reflect the complex biology underlying neutrophil activation and NETosis that occurs in whole blood. To our knowledge, we report the first human ex vivo model utilizing naturally occurring molecules to induce NETosis in whole blood. This approach could be used for drug screening and, importantly, inadvertent activators of NETosis.
Methods
Here we describe a novel, high-throughput ex vivo whole blood–induced NETosis model using combinatorial pooling of native NETosis-inducing factors in a more biologically relevant Synthetic-Sepsis model.
Results
We found different combinations of factors evoked distinct neutrophil responses in the rate of NET generation and/or magnitude of NETosis. Despite interdonor variability, similar sets of proinflammatory molecules induced consistent responses across donors. We found that at least 3 biological triggers were necessary to induce NETosis in our system including either tumor necrosis factor-α or lymphotoxin-α.
Conclusion
These findings emphasize the importance of investigating neutrophil physiology in a biologically relevant context to enable a better understanding of disease pathology, risk factors, and therapeutic targets, potentially providing novel strategies for disease intervention and treatment. Less
Drug sensitivity testing of patient-derived tumor organoids PDTOs is a promising tool for personalizing cancer treatment Here we present a protocol for generation of and high-throughput drug testing with PDTOs We describe detailed steps for PDTO establishment from colorectal cancer tissues preparation of PDTOs for high-throughput drug testing and quantification of drug testing results using image analysis This protocol provides a standardized workflow for PDTO testing of standard-of-care therapies along with exploring the activity of new agents for translational research
Disclosed herein are methods and systems comprising obtaining nucleic acid from a sample that was obtained from a subject capturing and amplifying a target molecule in the nucleic acid using a molecular inversion probe under hybridization conditions ligating an adapter to create a circular molecule sequencing the circular molecule to obtain sequence reads generating a sequencing file comprising the sequence reads of each molecule and a position of each sequence read in a reference genome of a virus and generating a reporting file for the subject comprising a predicted lineage of the virus in the sample
Nowadays an efficient and robust virtual screening procedure is crucial in the drug discovery process especially when performed on large and chemically diverse databases Virtual screening methods like molecular docking and classic QSAR models are limited in their ability to handle vast numbers of compounds and to learn from scarce data respectively In this study we introduce a universal methodology that uses a machine learning-based approach to predict docking scores without the need for time-consuming molecular docking procedures The developed protocol yielded times faster binding energy predictions than classical docking-based screening The proposed predictive model learns from docking results allowing ... More
Nowadays, an efficient and robust virtual screening procedure is crucial in the drug discovery process, especially when performed on large and chemically diverse databases. Virtual screening methods, like molecular docking and classic QSAR models, are limited in their ability to handle vast numbers of compounds and to learn from scarce data, respectively. In this study, we introduce a universal methodology that uses a machine learning-based approach to predict docking scores without the need for time-consuming molecular docking procedures. The developed protocol yielded 1000 times faster binding energy predictions than classical docking-based screening. The proposed predictive model learns from docking results, allowing users to choose their preferred docking software without relying on insufficient and incoherent experimental activity data. The methodology described employs multiple types of molecular fingerprints and descriptors to construct an ensemble model that further reduces prediction errors and is capable of delivering highly precise docking score values for monoamine oxidase ligands, enabling faster identification of promising compounds. An extensive pharmacophore-constrained screening of the ZINC database resulted in a selection of 24 compounds that were synthesized and evaluated for their biological activity. A preliminary screen discovered weak inhibitors of MAO-A with a percentage efficiency index close to a known drug at the lowest tested concentration. The approach presented here can be successfully applied to other biological targets as target-specific knowledge is not incorporated at the screening phase. Less
The activities of the phospholipase C gamma PLC and enzymes are essential for numerous cellular processes Unsurprisingly dysregulation of PLC or PLC activity is associated with multiple maladies including immune disorders cancers and neurodegenerative diseases Therefore the modulation of either of these two enzymes has been suggested as a therapeutic strategy to combat these diseases To aid in the discovery of PLC family enzyme modulators that could be developed into therapeutic agents we have synthesized a high-throughput screening-amenable micellular fluorogenic substrate called C CF -coumarin Herein the ability of PLC and PLC to enzymatically process C CF -coumarin was confirmed ... More
The activities of the phospholipase C gamma (PLCγ) 1 and 2 enzymes are essential for numerous cellular processes. Unsurprisingly, dysregulation of PLCγ1 or PLCγ2 activity is associated with multiple maladies including immune disorders, cancers, and neurodegenerative diseases. Therefore, the modulation of either of these two enzymes has been suggested as a therapeutic strategy to combat these diseases. To aid in the discovery of PLCγ family enzyme modulators that could be developed into therapeutic agents, we have synthesized a high-throughput screening-amenable micellular fluorogenic substrate called C16CF3-coumarin. Herein, the ability of PLCγ1 and PLCγ2 to enzymatically process C16CF3-coumarin was confirmed, the micellular assay conditions were optimized, and the kinetics of the reaction were determined. A proof-of-principle pilot screen of the Library of Pharmacologically Active Compounds 1280 (LOPAC1280) was performed. This new substrate allows for an additional screening methodology to identify modulators of the PLCγ family of enzymes. Less
Corticospinal neurons CSNs synapse directly on spinal neurons a diverse assortment of cells with unique structural and functional properties necessary for body movements CSNs modulating forelimb behavior fractionate into caudal forelimb area CFA and rostral forelimb area RFA motor cortical populations Despite their prominence the full diversity of spinal neurons targeted by CFA and RFA CSNs is uncharted Here we use anatomical and RNA sequencing methods to show that CSNs synapse onto a remarkably selective group of spinal cell types favoring inhibitory populations that regulate motoneuron activity and gate sensory feedback CFA and RFA CSNs target similar spinal neuron types ... More
Corticospinal neurons (CSNs) synapse directly on spinal neurons, a diverse assortment of cells with unique structural and functional properties necessary for body movements. CSNs modulating forelimb behavior fractionate into caudal forelimb area (CFA) and rostral forelimb area (RFA) motor cortical populations. Despite their prominence, the full diversity of spinal neurons targeted by CFA and RFA CSNs is uncharted. Here, we use anatomical and RNA sequencing methods to show that CSNs synapse onto a remarkably selective group of spinal cell types, favoring inhibitory populations that regulate motoneuron activity and gate sensory feedback. CFA and RFA CSNs target similar spinal neuron types, with notable exceptions that suggest that these populations differ in how they influence behavior. Finally, axon collaterals of CFA and RFA CSNs target similar brain regions yet receive highly divergent inputs. These results detail the rules of CSN connectivity throughout the brain and spinal cord for two regions critical for forelimb behavior. Less
Proteins usually execute their biological functions through interactions with other proteins and by forming macromolecular complexes but global profiling of protein complexes directly from human tissue samples has been limited In this study we utilized co-fractionation mass spectrometry CF-MS to map protein complexes within the post-mortem human brain with experimental replicates First we used concatenated anion and cation Ion Exchange Chromatography IEX to separate native protein complexes in fractions then proceeded with Data-Independent Acquisition DIA mass spectrometry to analyze the proteins in each fraction quantifying a total of proteins with overlapping in both replicates We improved DIA quantitative accuracy by ... More
Proteins usually execute their biological functions through interactions with other proteins and by forming macromolecular complexes, but global profiling of protein complexes directly from human tissue samples has been limited. In this study, we utilized co-fractionation mass spectrometry (CF-MS) to map protein complexes within the post-mortem human brain with experimental replicates. First, we used concatenated anion and cation Ion Exchange Chromatography (IEX) to separate native protein complexes in 192 fractions, then proceeded with Data-Independent Acquisition (DIA) mass spectrometry to analyze the proteins in each fraction, quantifying a total of 4,804 proteins with 3,260 overlapping in both replicates. We improved DIA quantitative accuracy by implementing a constant amount of bovine serum albumin (BSA) in each fraction as an internal standard. Next, advanced computational pipelines, which integrate both a database-based complex analysis and an unbiased protein-protein interaction (PPI) search, were applied to identify protein complexes and construct protein-protein interaction networks in the human brain. Our study led to the identification of 486 protein complexes and 10,054 binary protein-protein interactions, which represents the first global profiling of human brain PPIs using CF-MS. Overall, this study offers a resource and tool for a wide range of human brain research, including the identification of disease-specific protein complexes in the future. Less
Cancer cells often exhibit DNA copy number aberrations and can vary widely in their ploidy Correct estimation of the ploidy of single-cell genomes is paramount for downstream analysis Based only on single-cell DNA sequencing information scAbsolute achieves accurate and unbiased measurement of single-cell ploidy and replication status including whole-genome duplications We demonstrate scAbsolute s capabilities using experimental cell multiplets a FUCCI cell cycle expression system and a benchmark against state-of-the-art methods scAbsolute provides a robust foundation for single-cell DNA sequencing analysis across different technologies and has the potential to enable improvements in a number of downstream analyses
Hematopoietic stem cells HSCs develop from the hemogenic endothelium HE in the aorta- gonads-and mesonephros AGM region and reside within Intra-aortic hematopoietic clusters IAHC along with hematopoietic progenitors HPC The signalling mechanisms that distinguish HSCs from HPCs are unknown Notch signaling is essential for arterial specification IAHC formation and HSC activity but current studies on how Notch segregates these different fates are inconsistent We now demonstrate that Notch activity is highest in a subset of GFI HSC-primed HE cells and is gradually lost with HSC maturation We uncover that the HSC phenotype is maintained due to increasing levels of NOTCH ... More
Hematopoietic stem cells (HSCs) develop from the hemogenic endothelium (HE) in the aorta- gonads-and mesonephros (AGM) region and reside within Intra-aortic hematopoietic clusters (IAHC) along with hematopoietic progenitors (HPC). The signalling mechanisms that distinguish HSCs from HPCs are unknown. Notch signaling is essential for arterial specification, IAHC formation and HSC activity, but current studies on how Notch segregates these different fates are inconsistent. We now demonstrate that Notch activity is highest in a subset of, GFI1 + , HSC-primed HE cells, and is gradually lost with HSC maturation. We uncover that the HSC phenotype is maintained due to increasing levels of NOTCH1 and JAG1 interactions on the surface of the same cell (cis) that renders the NOTCH1 receptor from being activated. Forced activation of the NOTCH1 receptor in IAHC activates a hematopoietic differentiation program. Our results indicate that NOTCH1-JAG1 cis-inhibition preserves the HSC phenotype in the hematopoietic clusters of the embryonic aorta. Less
ADP-ribosyltransferases PARP and PARP play a major role in DNA repair mechanism by detecting the DNA damage and inducing poly-ADP-ribosylation dependent chromatin relaxation and recruitment of repair proteins Catalytic PARP inhibitors are used as anticancer drugs especially in the case of tumors arising from sensitizing mutations Recently a study showed that Histone PARylation Factor HPF forms a joint active site with PARP The interaction of HPF with PARP alters the modification site from Aspartate Glutamate to Serine which has been shown to be a key ADP-ribosylation event in the context of DNA damage Therefore disruption of PARP -HPF interaction could ... More
ADP-ribosyltransferases PARP1 and PARP2 play a major role in DNA repair mechanism by detecting the DNA damage and inducing poly-ADP-ribosylation dependent chromatin relaxation and recruitment of repair proteins. Catalytic PARP inhibitors are used as anticancer drugs especially in the case of tumors arising from sensitizing mutations. Recently, a study showed that Histone PARylation Factor (HPF1) forms a joint active site with PARP1/2. The interaction of HPF1 with PARP1/2 alters the modification site from Aspartate/Glutamate to Serine, which has been shown to be a key ADP-ribosylation event in the context of DNA damage. Therefore, disruption of PARP1/2-HPF1 interaction could be an alternative strategy for drug development to block the PARP1/2 activity. In this study, we describe a FRET based high-throughput screening assay to screen inhibitor libraries against PARP-HPF1 interaction. We optimized the conditions for FRET signal and verified the interaction by competing the FRET pair in multiple ways. The assay is robust and easy to automate. Validatory screening showed the robust performance of the assay, and we discovered two compounds Dimethylacrylshikonin and Alkannin, with µM inhibition potency against PARP1/2-HPF1 interaction. The assay will facilitate the discovery of inhibitors against HPF1-PARP1/2 complex and to develop potentially new effective anticancer agents. Less
Memory encodes past experiences thereby enabling future plans The basolateral amygdala is a centre of salience networks that underlie emotional experiences and thus has a key role in long-term fear memory formation Here we used spatial and single-cell transcriptomics to illuminate the cellular and molecular architecture of the role of the basolateral amygdala in long-term memory We identified transcriptional signatures in subpopulations of neurons and astrocytes that were memory-specific and persisted for weeks These transcriptional signatures implicate neuropeptide and BDNF signalling MAPK and CREB activation ubiquitination pathways and synaptic connectivity as key components of long-term memory Notably upon long-term memory ... More
Memory encodes past experiences, thereby enabling future plans. The basolateral amygdala is a centre of salience networks that underlie emotional experiences and thus has a key role in long-term fear memory formation1. Here we used spatial and single-cell transcriptomics to illuminate the cellular and molecular architecture of the role of the basolateral amygdala in long-term memory. We identified transcriptional signatures in subpopulations of neurons and astrocytes that were memory-specific and persisted for weeks. These transcriptional signatures implicate neuropeptide and BDNF signalling, MAPK and CREB activation, ubiquitination pathways, and synaptic connectivity as key components of long-term memory. Notably, upon long-term memory formation, a neuronal subpopulation defined by increased Penk and decreased Tac expression constituted the most prominent component of the memory engram of the basolateral amygdala. These transcriptional changes were observed both with single-cell RNA sequencing and with single-molecule spatial transcriptomics in intact slices, thereby providing a rich spatial map of a memory engram. The spatial data enabled us to determine that this neuronal subpopulation interacts with adjacent astrocytes, and functional experiments show that neurons require interactions with astrocytes to encode long-term memory. Less
In the fields of human health and agricultural research low coverage whole-genome sequencing followed by imputation to a large haplotype reference panel has emerged as a cost-effective alternative to genotyping arrays for assaying large numbers of samples However a systematic comparison of library preparation methods tailored for low coverage sequencing remains absent in the existing literature In this study we evaluated one full sized kit from IDT and miniaturized and evaluated three Illumina-compatible library preparation kits the KAPA HyperPlus kit Roche the DNA Prep kit Illumina and an IDT kit using human DNA samples Metrics evaluated included imputation concordance with ... More
In the fields of human health and agricultural research, low coverage whole-genome sequencing followed by imputation to a large haplotype reference panel has emerged as a cost-effective alternative to genotyping arrays for assaying large numbers of samples. However, a systematic comparison of library preparation methods tailored for low coverage sequencing remains absent in the existing literature. In this study, we evaluated one full sized kit from IDT and miniaturized and evaluated three Illumina-compatible library preparation kits—the KAPA HyperPlus kit (Roche), the DNA Prep kit (Illumina), and an IDT kit—using 96 human DNA samples. Metrics evaluated included imputation concordance with high-depth genotypes, coverage, duplication rates, time for library preparation, and additional optimization requirements. Despite slightly elevated duplication rates in IDT kits, we find that all four kits perform well in terms of imputation accuracy, with IDT kits being only marginally less performant than Illumina and Roche kits. Laboratory handling of the kits was similar: thus, the choice of a kit will largely depend on (1) existing or planned infrastructure, such as liquid handling capabilities, (2) whether a specific characteristic is desired, such as the use of full-length adapters, shorter processing times, or (3) use case, for instance, long vs short read sequencing. Our findings offer a comprehensive resource for both commercial and research workflows of low-cost library preparation methods suitable for high-throughput low coverage whole genome sequencing. Less
Exposure to environmental pollutants is linked to numerous toxic outcomes warranting concern about the effect of pollutants on human health To assess the threat of pollutant exposure it is essential to understand their biological activity Unfortunately gaps remain for many pollutants specific biological activity and molecular targets A superfamily of signaling proteins G-protein-coupled receptors GPCRs has been shown as potential targets for pollutant activity However research investigating the pollutant activity at the GPCRome is scarce This work explores pollutant activity across a library of human GPCRs by leveraging modern high-throughput screening techniques devised for drug discovery and pharmacology We designed ... More
Exposure to environmental pollutants is linked to numerous toxic outcomes, warranting concern about the effect of pollutants on human health. To assess the threat of pollutant exposure, it is essential to understand their biological activity. Unfortunately, gaps remain for many pollutants’ specific biological activity and molecular targets. A superfamily of signaling proteins, G-protein-coupled receptors (GPCRs), has been shown as potential targets for pollutant activity. However, research investigating the pollutant activity at the GPCRome is scarce. This work explores pollutant activity across a library of human GPCRs by leveraging modern high-throughput screening techniques devised for drug discovery and pharmacology. We designed and implemented a pilot screen of eight pollutants at 314 human GPCRs and discovered specific polychlorinated biphenyl (PCB) activity at sphingosine-1-phosphate and melatonin receptors. The method utilizes open-source resources available to academic and governmental institutions to enable future campaigns that screen large numbers of pollutants. Thus, we present a novel high-throughput approach to assess the biological activity and specific targets of pollutants. Less
We herein describe the development and application of a modular technology platform which incorporates recent advances in plate-based microscale chemistry automated purification in situ quantification and robotic liquid handling to enable rapid access to high-quality chemical matter already formatted for assays In using microscale chemistry and thus consuming minimal chemical matter the platform is not only efficient but also follows green chemistry principles By reorienting existing high-throughput assay technology the platform can generate a full package of relevant data on each set of compounds in every learning cycle The multiparameter exploration of chemical and property space is hereby driven by ... More
We herein describe the development and application of a modular technology platform which incorporates recent advances in plate-based microscale chemistry, automated purification, in situ quantification, and robotic liquid handling to enable rapid access to high-quality chemical matter already formatted for assays. In using microscale chemistry and thus consuming minimal chemical matter, the platform is not only efficient but also follows green chemistry principles. By reorienting existing high-throughput assay technology, the platform can generate a full package of relevant data on each set of compounds in every learning cycle. The multiparameter exploration of chemical and property space is hereby driven by active learning models. The enhanced compound optimization process is generating knowledge for drug discovery projects in a time frame never before possible. Less
Predictive drug testing of patient-derived tumor organoids PDTOs holds promise for personalizing treatment of metastatic colorectal cancer mCRC but prospective data are limited to chemotherapy regimens with conflicting results We describe a unified framework for PDTO-based predictive testing across standard-of-care chemotherapy and biologic and targeted therapy options In an Australian community cohort PDTO predictions based on treatment-naive patients n and response rates from first-line mCRC clinical trials achieve accuracy for forecasting responses in patients receiving palliative treatments patients treatments Similar assay accuracy is achieved in a prospective study of third-line or later mCRC treatment AGITG FORECAST- n patients Resistant predictions ... More
Predictive drug testing of patient-derived tumor organoids (PDTOs) holds promise for personalizing treatment of metastatic colorectal cancer (mCRC), but prospective data are limited to chemotherapy regimens with conflicting results. We describe a unified framework for PDTO-based predictive testing across standard-of-care chemotherapy and biologic and targeted therapy options. In an Australian community cohort, PDTO predictions based on treatment-naive patients (n = 56) and response rates from first-line mCRC clinical trials achieve 83% accuracy for forecasting responses in patients receiving palliative treatments (18 patients, 29 treatments). Similar assay accuracy is achieved in a prospective study of third-line or later mCRC treatment, AGITG FORECAST-1 (n = 30 patients). “Resistant” predictions are associated with inferior progression-free survival; misclassification rates are similar by regimen. Liver metastases are the optimal site for sampling, with testing achievable within 7 weeks for 68.8% cases. Our findings indicate that PDTO drug panel testing can provide predictive information for multifarious standard-of-care therapies for mCRC. Less
Sepsis is a life-threatening organ dysfunction caused by a dysregulated host response to infection It is responsible for US deaths annually Neutrophils are an integral part of the innate immune response and rapidly clear pathogens from circulation using neutrophil extracellular traps NETs which are released through a process called NETosis NETs prevent dissemination of pathogens by entrapment in externalized chromatin containing deactivating enzymes While we have learned much about the mechanisms underlying NETosis we are yet to translate it to improved therapies or patient outcomes This gap may be attributable to the models used to study NETosis Current models used ... More
Sepsis is a life-threatening organ dysfunction caused by a dysregulated host response to infection (1). It is responsible for ~370,000 US deaths annually (2). Neutrophils are an integral part of the innate immune response and rapidly clear pathogens from circulation using neutrophil extracellular traps (NETs), which are released through a process called NETosis (3). NETs prevent dissemination of pathogens by entrapment in externalized chromatin containing deactivating enzymes. While we have learned much about the mechanisms underlying NETosis, we are yet to translate it to improved therapies or patient outcomes. This gap may be attributable to the models used to study NETosis. Current models used to investigate NETosis are limited and routinely employ unnatural triggers such as phorbol 12-myristate 13-acetate (PMA). PMA is not a physiological trigger present in the immune system and may bypass the natural pathways that regulate NETs production. Mouse models that use isolated neutrophils and neutrophil-like cells induced from immortalized cell lines do not completely reflect the complex cellular and molecular biology underlying neutrophil activation and NETosis, especially in a whole-blood environment. Therefore, it is crucial to study how specific factors, known to be upregulated in disease, interact and potentially induce NETosis. Here we use high-throughput screening and natural NETosis triggers to develop a more biologically relevant ex vivo NETosis (Synthetic-Sepsis™) model.
Whole blood was collected from healthy donors and aliquoted into a 384 well plate using a Formulatrix Mantis liquid handler. This plate contained small molecules associated with neutrophils or NETosis activation, such as interleukins: Il-1b, IL-5, IL-6, IL-8, IL-15, IL-17, IL-18 and other molecules TNF- α, LT-α, IFN-γ, G-CSF, GM-CSF, E-selectin, PAF-16, CXCL1, CXCL2, LTB4, CXCL5, CCL2, CCL3, fMLP, Ferritin, HMGB1, C5a and LPS. We used a combinatorial pooling strategy designed using JMP software to identify which combinations of small molecules could stimulate NET formation. NETosis was assessed using Sytox green intercalation at 5 minute intervals for up to 24 hours using a Molecular Devices plate reader. PMA was utilized as a positive control for NETosis induction at varying concentrations.
Using our combinatorial pooling approach of the various factors, we successfully induced NETosis in an ex vivo whole blood system using naturally occurring cytokines and chemokines at physiologically relevant concentrations. We found that different combinations of factors evoke distinct neutrophil responses both in the time of NET generation and/or magnitude of NET-associated intercalation signal. We observed inter-donor variability in response time and amplitude however, similar small molecule pools induced consistent responses across donors. Furthermore, our findings suggest that at least four naturally occurring factors are necessary to induce NETosis in our system. Although some factors activate similar pathways, they are unable to induce a signal alone and as the number of factors increased beyond four, there was an enhanced NET response. Interestingly, we found either TNF-α or LT-α was required to cause a NETosis response, underlining the potentially significant roles these factors play in inflammatory disease. These results suggest an underlying master regulatory mechanism, such that certain factors are essential but not individually sufficient to trigger NETosis.
To our knowledge, we report the first ex-vivo model using naturally occurring cytokines and chemokines to induce NETosis in whole blood. These findings emphasize the importance of expanding our understanding of neutrophil physiology in a biologically relevant context with physiological triggers to induce NETosis. This approach could reveal new dimensions in our understanding of disease pathology and risk factors and might unearth potential therapeutic targets providing novel strategies for disease intervention and treatment. Further investigation of these factors is underway to further understand the release of NETs in natural and pathological states. Less
Whole blood was collected from healthy donors and aliquoted into a 384 well plate using a Formulatrix Mantis liquid handler. This plate contained small molecules associated with neutrophils or NETosis activation, such as interleukins: Il-1b, IL-5, IL-6, IL-8, IL-15, IL-17, IL-18 and other molecules TNF- α, LT-α, IFN-γ, G-CSF, GM-CSF, E-selectin, PAF-16, CXCL1, CXCL2, LTB4, CXCL5, CCL2, CCL3, fMLP, Ferritin, HMGB1, C5a and LPS. We used a combinatorial pooling strategy designed using JMP software to identify which combinations of small molecules could stimulate NET formation. NETosis was assessed using Sytox green intercalation at 5 minute intervals for up to 24 hours using a Molecular Devices plate reader. PMA was utilized as a positive control for NETosis induction at varying concentrations.
Using our combinatorial pooling approach of the various factors, we successfully induced NETosis in an ex vivo whole blood system using naturally occurring cytokines and chemokines at physiologically relevant concentrations. We found that different combinations of factors evoke distinct neutrophil responses both in the time of NET generation and/or magnitude of NET-associated intercalation signal. We observed inter-donor variability in response time and amplitude however, similar small molecule pools induced consistent responses across donors. Furthermore, our findings suggest that at least four naturally occurring factors are necessary to induce NETosis in our system. Although some factors activate similar pathways, they are unable to induce a signal alone and as the number of factors increased beyond four, there was an enhanced NET response. Interestingly, we found either TNF-α or LT-α was required to cause a NETosis response, underlining the potentially significant roles these factors play in inflammatory disease. These results suggest an underlying master regulatory mechanism, such that certain factors are essential but not individually sufficient to trigger NETosis.
To our knowledge, we report the first ex-vivo model using naturally occurring cytokines and chemokines to induce NETosis in whole blood. These findings emphasize the importance of expanding our understanding of neutrophil physiology in a biologically relevant context with physiological triggers to induce NETosis. This approach could reveal new dimensions in our understanding of disease pathology and risk factors and might unearth potential therapeutic targets providing novel strategies for disease intervention and treatment. Further investigation of these factors is underway to further understand the release of NETs in natural and pathological states. Less
This study aimed to identify inhibitors of the translocated intimin receptor Tir of enteropathogenic Escherichia coli EPEC EPEC is an intestinal pathogen that causes diarrhea and is a major health concern worldwide Because Tir is a key virulence factor involved in EPEC pathogenesis inhibiting its function is a potential strategy for controlling EPEC infections Virtual screening was applied to chemical libraries to search for compounds that inhibit Tir-mediated bacterial adherence to host cells Three sites were targeted using the cocrystal structure published earlier A selection of compounds was then assessed in a cell-based infection model and fluorescence microscopy assay The ... More
This study aimed to identify inhibitors of the translocated intimin receptor (Tir) of enteropathogenic Escherichia coli (EPEC). EPEC is an intestinal pathogen that causes diarrhea and is a major health concern worldwide. Because Tir is a key virulence factor involved in EPEC pathogenesis, inhibiting its function is a potential strategy for controlling EPEC infections. Virtual screening was applied to chemical libraries to search for compounds that inhibit Tir-mediated bacterial adherence to host cells. Three sites were targeted using the cocrystal structure published earlier. A selection of compounds was then assessed in a cell-based infection model and fluorescence microscopy assay. The results of this study provide a basis for further optimization and testing of Tir inhibitors as potential therapeutic agents for EPEC infections. Less
Spatial tissue proteomics combining microscopy-based cell phenotyping with ultra-sensitive mass spectrometry MS -based proteomics is an emerging and powerful concept for the study of cell function and heterogeneity in health and disease However optimized workflows that preserve morphological information for image-based phenotype discovery and maximize proteome coverage of few or even single cells from laser microdissected archival tissue are currently lacking Here we report a robust and scalable workflow for the proteomic analysis of ultra-low input formalin-fixed paraffin-embedded FFPE material Benchmarking in the murine liver resulted in up to quantified proteins from single hepatocyte contours and nearly proteins from -cell ... More
Spatial tissue proteomics combining microscopy-based cell phenotyping with ultra-sensitive mass spectrometry (MS)-based proteomics is an emerging and powerful concept for the study of cell function and heterogeneity in health and disease. However, optimized workflows that preserve morphological information for image-based phenotype discovery and maximize proteome coverage of few or even single cells from laser microdissected archival tissue, are currently lacking. Here, we report a robust and scalable workflow for the proteomic analysis of ultra-low input formalin-fixed, paraffin-embedded (FFPE) material. Benchmarking in the murine liver resulted in up to 2,000 quantified proteins from single hepatocyte contours and nearly 5,000 proteins from 50-cell regions with high quantitative reproducibility. Applied to human tonsil, we profiled 146 microregions including spatially defined T and B lymphocyte niches and quantified cell type specific markers, cytokines, immune cell regulators and transcription factors. These rich data also highlighted proteome dynamics in spatially defined zones of activated germinal centers, illuminating sites undergoing active B-cell proliferation and somatic hypermutation. Our results demonstrate the power of spatially-resolved proteomics for tissue phenotyping by integrating high-content imaging, laser microdissection, and ultra-sensitive mass spectrometry. This approach has broad implications for a wide range of biomedical applications, including early disease profiling, drug target discovery and biomarker research. Less
The COVID- pandemic caused by severe acute respiratory syndrome coronavirus SARS-CoV- virus has made it clear that further development of antiviral therapies will be needed to combat additional SARS-CoV- variants or novel CoVs Here we describe small molecule inhibitors for SARS-CoV- Mac which counters ADP-ribosylation mediated innate immune responses The compounds inhibiting Mac were discovered through high-throughput screening HTS using a protein FRET-based competition assay and the best hit compound had an IC of M Three validated HTS hits have the same -amide- -methylester thiophene scaffold and the scaffold was selected for structure-activity relationship SAR studies through commercial and synthesized ... More
The COVID-19 pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus has made it clear that further development of antiviral therapies will be needed to combat additional SARS-CoV-2 variants or novel CoVs. Here, we describe small molecule inhibitors for SARS-CoV-2 Mac1, which counters ADP-ribosylation mediated innate immune responses. The compounds inhibiting Mac1 were discovered through high-throughput screening (HTS) using a protein FRET-based competition assay and the best hit compound had an IC50 of 14 µM. Three validated HTS hits have the same 2-amide-3-methylester thiophene scaffold and the scaffold was selected for structure-activity relationship (SAR) studies through commercial and synthesized analogs. We studied the compound binding mode in detail using X-ray crystallography and this allowed us to focus on specific features of the compound and design analogs. Compound 27 (MDOLL-0229) had an IC50 of 2.1 µM and was generally selective for CoV Mac1 proteins after profiling for activity against a panel of viral and human ADP-ribose binding proteins. The improved potency allowed testing of its effect on virus replication and indeed, 27 inhibited replication of a mouse hepatitis virus, a prototype CoV. Compound 27 is the first Mac1 targeted small molecule demonstrated to inhibit coronavirus replication in a cell model. This, together with its well-defined binding mode, makes 27 a good candidate for further hit/lead-optimization efforts. Less
Wastewater-based SARS-CoV- epidemiology WBE has proven as an excellent tool to monitor pandemic dynamics supporting individual testing strategies WBE can also be used as an early warning system for monitoring the emergence of novel pathogens or viral variants However for a timely transmission of results sophisticated sample logistics and analytics performed in decentralized laboratories close to the sampling sites are required Since multiple decentralized laboratories commonly use custom in-house workflows for sample purification and PCR-analysis comparative quality control of the analytical procedures is essential to report reliable and comparable results In this study we performed an interlaboratory comparison at laboratories ... More
Wastewater-based SARS-CoV-2 epidemiology (WBE) has proven as an excellent tool to monitor pandemic dynamics supporting individual testing strategies. WBE can also be used as an early warning system for monitoring the emergence of novel pathogens or viral variants. However, for a timely transmission of results, sophisticated sample logistics and analytics performed in decentralized laboratories close to the sampling sites are required. Since multiple decentralized laboratories commonly use custom in-house workflows for sample purification and PCR-analysis, comparative quality control of the analytical procedures is essential to report reliable and comparable results.In this study, we performed an interlaboratory comparison at laboratories specialized for PCR and high-throughput-sequencing (HTS)-based WBE analysis. Frozen reserve samples from low COVID-19 incidence periods were spiked with different inactivated authentic SARS-CoV-2 variants in graduated concentrations and ratios. Samples were sent to the participating laboratories for analysis using laboratory specific methods and the reported viral genome copy numbers and the detection of viral variants were compared with the expected values.Despite the different procedures, a high concordance regarding the SARS-CoV-2 PCR quantification could be achieved with low variation between the workflows. PCR-based genotyping was, in dependence of the underlying PCR-assay performance, able to predict the relative amount of variant specific substitutions even in samples with low spike-in amount. The identification of variants by HTS, however, required >100 copies/mL wastewater and had limited predictive value when analyzing at a genome coverage below 60%.This interlaboratory test demonstrates that despite different extraction and analysis methods, a high agreement of the SARS-CoV-2 genome copy equivalents could be achieved. Hence, decentralized SARS-CoV-2 wastewater monitoring is feasible to generate comparable analysis results. However, since not all assays detected the correct variant, prior evaluation of PCR and sequencing workflows as well as sustained quality control such as interlaboratory comparisons are mandatory for correct variant detection. Less
Next-generation sequencing NGS technology advancements continue to reduce the cost of high-throughput genome-wide genotyping for breeding and genetics research Skim sequencing which surveys the entire genome at low coverage has become feasible for quantitative trait locus QTL mapping and genomic selection in various crops However the genome complexity of allopolyploid crops such as wheat Triticum aestivum L still poses a significant challenge for genome-wide genotyping Targeted sequencing of the protein-coding regions i e exome reduces sequencing costs compared to whole genome re-sequencing and can be used for marker discovery and genotyping We developed a method called skim exome capture SEC ... More
Next-generation sequencing (NGS) technology advancements continue to reduce the cost of high-throughput genome-wide genotyping for breeding and genetics research. Skim sequencing, which surveys the entire genome at low coverage, has become feasible for quantitative trait locus (QTL) mapping and genomic selection in various crops. However, the genome complexity of allopolyploid crops such as wheat (Triticum aestivum L.) still poses a significant challenge for genome-wide genotyping. Targeted sequencing of the protein-coding regions (i.e., exome) reduces sequencing costs compared to whole genome re-sequencing and can be used for marker discovery and genotyping. We developed a method called skim exome capture (SEC) that combines the strengths of these existing technologies and produces targeted genotyping data while decreasing the cost on a per-sample basis compared to traditional exome capture. Specifically, we fragmented genomic DNA using a tagmentation approach, then enriched those fragments for the low-copy genic portion of the genome using commercial wheat exome baits and multiplexed the sequencing at different levels to achieve desired coverage. We demonstrated that for a library of 48 samples, ∼7–8× target coverage was sufficient for high-quality variant detection. For higher multiplexing levels of 528 and 1056 samples per library, we achieved an average coverage of 0.76× and 0.32×, respectively. Combining these lower coverage SEC sequencing data with genotype imputation using a customized wheat practical haplotype graph database that we developed, we identified hundreds of thousands of high-quality genic variants across the genome. The SEC method can be used for high-resolution QTL mapping, genome-wide association studies, genomic selection, and other downstream applications. Less