Single-cell sequencing of full-length transcripts and T-cell receptors with automated high-throughput Smart-seq3 Chuang, Hsiu-Chun, Ruidong, Li, Li, Li, Kai-Hui, Sun In: 2024. @article{noKey,
title = {Single-cell sequencing of full-length transcripts and T-cell receptors with automated high-throughput Smart-seq3},
author = {Chuang, Hsiu-Chun, Ruidong, Li, Li, Li, Kai-Hui, Sun},
url = {https://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-024-11036-0},
doi = {https://doi.org/10.1186/s12864-024-11036-0},
year = {2024},
date = {2024-11-21},
abstract = {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.},
keywords = {MANTIS},
pubstate = {published},
tppubtype = {article}
}
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. |
CRISPR-RfxCas13d screening uncovers Bckdk as a post-translational regulator of the maternal-to-zygotic transition in teleosts Huertas, Luis Hernandez In: 2024. @article{noKey,
title = {CRISPR-RfxCas13d screening uncovers Bckdk as a post-translational regulator of the maternal-to-zygotic transition in teleosts},
author = {Huertas, Luis Hernandez},
url = {https://www.biorxiv.org/content/10.1101/2024.05.22.595167v1.full},
doi = {https://doi.org/10.1101/2024.05.22.595167},
year = {2024},
date = {2024-05-23},
abstract = {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.},
keywords = {MANTIS},
pubstate = {published},
tppubtype = {article}
}
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. |
Dynamic Clinical Assay Pipeline for Detecting a Virus Williams, Jonathan David In: 2024. @article{noKey,
title = {Dynamic Clinical Assay Pipeline for Detecting a Virus},
author = {Williams, Jonathan David},
url = {https://patents.google.com/patent/US20240141447A1/en},
doi = {US20240141447A1},
year = {2024},
date = {2024-05-02},
abstract = {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.},
keywords = {MANTIS},
pubstate = {published},
tppubtype = {article}
}
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. |
Defining the function of disease variants with CRISPR editing and multimodal single cell sequencing Baglaenko, Yuriy In: 2024. @article{noKey,
title = {Defining the function of disease variants with CRISPR editing and multimodal single cell sequencing},
author = {Baglaenko, Yuriy},
url = {https://www.biorxiv.org/content/10.1101/2024.03.28.587175v1.abstract},
doi = {https://doi.org/10.1101/2024.03.28.587175},
year = {2024},
date = {2024-03-29},
abstract = {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.},
keywords = {MANTIS},
pubstate = {published},
tppubtype = {article}
}
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. |
Topographical and cell type-specific connectivity of rostral and caudal forelimb corticospinal neuron populations Carmona, Lina Marcela In: 2024. @article{noKey,
title = {Topographical and cell type-specific connectivity of rostral and caudal forelimb corticospinal neuron populations},
author = {Carmona, Lina Marcela},
url = {https://www.cell.com/cell-reports/fulltext/S2211-1247(24)00321-8},
doi = {https://doi.org/10.1016/j.celrep.2024.113993},
year = {2024},
date = {2024-03-27},
abstract = {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.},
keywords = {MANTIS},
pubstate = {published},
tppubtype = {article}
}
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. |
scAbsolute: measuring single-cell ploidy and replication status Schneider, Michael P. In: 2024. @article{noKey,
title = {scAbsolute: measuring single-cell ploidy and replication status},
author = {Schneider, Michael P.},
url = {https://link.springer.com/article/10.1186/s13059-024-03204-y},
doi = {https://doi.org/10.1186/s13059-024-03204-y},
year = {2024},
date = {2024-03-04},
abstract = {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.},
keywords = {MANTIS},
pubstate = {published},
tppubtype = {article}
}
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. |
Discovery of an anti-virulence compound that targets the Staphylococcus aureus SaeRS two-component system to inhibit toxic shock syndrome toxin 1 (TSST-1) production Dufresne, Karine In: 2024. @article{noKey,
title = {Discovery of an anti-virulence compound that targets the Staphylococcus aureus SaeRS two-component system to inhibit toxic shock syndrome toxin 1 (TSST-1) production},
author = {Dufresne, Karine},
url = {https://www.biorxiv.org/content/10.1101/2024.02.27.582338v1},
doi = {https://doi.org/10.1101/2024.02.27.582338},
year = {2024},
date = {2024-02-27},
abstract = {Menstrual toxic shock syndrome (mTSS) is a rare but severe disorder associated with the use of menstrual products such as high-absorbency tampons and is caused by Staphylococcus aureus strains that produce the toxic shock syndrome toxin-1 (TSST-1) superantigen. Herein, we screened a library of 3920 small bioactive molecules for the ability to inhibit transcription of the TSST-1 gene without inhibiting growth of S. aureus. The dominant positive regulator of TSST-1 is the SaeRS two-component system (TCS), and we identified phenazopyridine hydrochloride (PP-HCl) that repressed production of TSST-1 by inhibiting the kinase function of SaeS. PP-HCl competed with ATP for binding of the kinase SaeS leading to decreased phosphorylation of SaeR and reduced expression of TSST-1 as well as several other secreted virulence factors known to be regulated by SaeRS. PP-HCl targets virulence of S. aureus, but it also decreases the impact of TSST-1 on human lymphocytes without affecting the healthy vaginal microbiota. Our findings demonstrate the promising potential of PP-HCl as a therapeutic strategy against mTSS.},
keywords = {TEMPEST},
pubstate = {published},
tppubtype = {article}
}
Menstrual toxic shock syndrome (mTSS) is a rare but severe disorder associated with the use of menstrual products such as high-absorbency tampons and is caused by Staphylococcus aureus strains that produce the toxic shock syndrome toxin-1 (TSST-1) superantigen. Herein, we screened a library of 3920 small bioactive molecules for the ability to inhibit transcription of the TSST-1 gene without inhibiting growth of S. aureus. The dominant positive regulator of TSST-1 is the SaeRS two-component system (TCS), and we identified phenazopyridine hydrochloride (PP-HCl) that repressed production of TSST-1 by inhibiting the kinase function of SaeS. PP-HCl competed with ATP for binding of the kinase SaeS leading to decreased phosphorylation of SaeR and reduced expression of TSST-1 as well as several other secreted virulence factors known to be regulated by SaeRS. PP-HCl targets virulence of S. aureus, but it also decreases the impact of TSST-1 on human lymphocytes without affecting the healthy vaginal microbiota. Our findings demonstrate the promising potential of PP-HCl as a therapeutic strategy against mTSS. |
Cis inhibition of NOTCH1 through JAGGED1 sustains embryonic hematopoietic stem cell fate Thambyrajah, Roshana In: 2024. @article{noKey,
title = {Cis inhibition of NOTCH1 through JAGGED1 sustains embryonic hematopoietic stem cell fate},
author = {Thambyrajah, Roshana},
url = {https://www.nature.com/articles/s41467-024-45716-y},
doi = {https://doi.org/10.1101/2023.04.19.537430},
year = {2024},
date = {2024-02-21},
abstract = {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.},
keywords = {MANTIS},
pubstate = {published},
tppubtype = {article}
}
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. |
Transcriptomic Signatures of WNT-Driven Pathways and Granulosa Cell-Oocyte Interactions during Primordial Follicle Activation Takase, Hinako M. In: 2024. @article{noKey,
title = {Transcriptomic Signatures of WNT-Driven Pathways and Granulosa Cell-Oocyte Interactions during Primordial Follicle Activation},
author = {Takase, Hinako M.},
url = {https://www.biorxiv.org/content/10.1101/2024.02.08.579446v2},
doi = {https://doi.org/10.1101/2024.02.08.579446},
year = {2024},
date = {2024-02-13},
abstract = {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.},
keywords = {MANTIS},
pubstate = {published},
tppubtype = {article}
}
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. |
Spatial transcriptomics reveal neuron–astrocyte synergy in long-term memory Sun, Wenfei In: 2024. @article{noKey,
title = {Spatial transcriptomics reveal neuron–astrocyte synergy in long-term memory},
author = {Sun, Wenfei},
url = {https://www.nature.com/articles/s41586-023-07011-6},
doi = {https://doi.org/10.1038/s41586-023-07011-6},
year = {2024},
date = {2024-02-07},
abstract = {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.},
keywords = {MANTIS},
pubstate = {published},
tppubtype = {article}
}
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. |
A comparison between low-cost library preparation kits for low coverage sequencing Stewart et, Caitlin M. In: 2024. @article{noKey,
title = {A comparison between low-cost library preparation kits for low coverage sequencing},
author = {Stewart et, Caitlin M.},
url = {https://www.biorxiv.org/content/10.1101/2024.01.30.578044v1},
doi = {https://doi.org/10.1101/2024.01.30.578044},
year = {2024},
date = {2024-01-31},
abstract = {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.},
keywords = {MANTIS},
pubstate = {published},
tppubtype = {article}
}
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. |
Skim exome capture genotyping in wheat Wang, Hongliang, In: 2023. @article{noKey,
title = {Skim exome capture genotyping in wheat},
author = {Wang, Hongliang,},
url = {https://acsess.onlinelibrary.wiley.com/doi/10.1002/tpg2.20381},
doi = {https://doi.org/10.1002/tpg2.20381},
year = {2023},
date = {2023-08-21},
abstract = {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.},
keywords = {MANTIS},
pubstate = {published},
tppubtype = {article}
}
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. |
Glycidamide-induced hypermutation in yeast single-stranded DNA reveals a ubiquitous clock-like mutational motif in humans Hudson, Kathleen M In: 2023. @article{noKey,
title = {Glycidamide-induced hypermutation in yeast single-stranded DNA reveals a ubiquitous clock-like mutational motif in humans},
author = {Hudson, Kathleen M},
url = {https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gkad611/7226869?login=false},
doi = {https://doi.org/10.1093/nar/gkad611},
year = {2023},
date = {2023-07-20},
abstract = {Mutagens often prefer specific nucleotides or oligonucleotide motifs that can be revealed by studying the hypermutation spectra in single-stranded (ss) DNA. We utilized a yeast model to explore mutagenesis by glycidamide, a simple epoxide formed endogenously in humans from the environmental toxicant acrylamide. Glycidamide caused ssDNA hypermutation in yeast predominantly in cytosines and adenines. The most frequent mutations in adenines occurred in the nAt→nGt trinucleotide motif. Base substitutions A→G in this motif relied on Rev1 translesion polymerase activity. Inactivating Rev1 did not alter the nAt trinucleotide preference, suggesting it may be an intrinsic specificity of the chemical reaction between glycidamide and adenine in the ssDNA. We found this mutational motif enriched in published sequencing data from glycidamide-treated mouse cells and ubiquitous in human cancers. In cancers, this motif was positively correlated with the single base substitution (SBS) smoking-associated SBS4 signature, with the clock-like signatures SBS1, SBS5, and was strongly correlated with smoking history and with age of tumor donors. Clock-like feature of the motif was also revealed in cells of human skin and brain. Given its pervasiveness, we propose that this mutational motif reflects mutagenic lesions to adenines in ssDNA from a potentially broad range of endogenous and exogenous agents.},
keywords = {MANTIS},
pubstate = {published},
tppubtype = {article}
}
Mutagens often prefer specific nucleotides or oligonucleotide motifs that can be revealed by studying the hypermutation spectra in single-stranded (ss) DNA. We utilized a yeast model to explore mutagenesis by glycidamide, a simple epoxide formed endogenously in humans from the environmental toxicant acrylamide. Glycidamide caused ssDNA hypermutation in yeast predominantly in cytosines and adenines. The most frequent mutations in adenines occurred in the nAt→nGt trinucleotide motif. Base substitutions A→G in this motif relied on Rev1 translesion polymerase activity. Inactivating Rev1 did not alter the nAt trinucleotide preference, suggesting it may be an intrinsic specificity of the chemical reaction between glycidamide and adenine in the ssDNA. We found this mutational motif enriched in published sequencing data from glycidamide-treated mouse cells and ubiquitous in human cancers. In cancers, this motif was positively correlated with the single base substitution (SBS) smoking-associated SBS4 signature, with the clock-like signatures SBS1, SBS5, and was strongly correlated with smoking history and with age of tumor donors. Clock-like feature of the motif was also revealed in cells of human skin and brain. Given its pervasiveness, we propose that this mutational motif reflects mutagenic lesions to adenines in ssDNA from a potentially broad range of endogenous and exogenous agents. |
Strain dropouts reveal interactions that govern the metabolic output of the gut microbiome Wang, Min In: 2023. @article{noKey,
title = {Strain dropouts reveal interactions that govern the metabolic output of the gut microbiome},
author = {Wang, Min},
url = {https://www.cell.com/cell/pdf/S0092-8674(23)00589-5.pdf},
doi = {https://doi.org/10.1016/j.cell.2023.05.037},
year = {2023},
date = {2023-06-22},
abstract = {The gut microbiome is complex, raising questions about the role of individual strains in the community. Here, we address this question by constructing variants of a complex defined community in which we eliminate strains that occupy the bile acid 7α-dehydroxylation niche. Omitting Clostridium scindens (Cs) and Clostridium hylemonae (Ch) eliminates secondary bile acid production and reshapes the community in a highly specific manner: eight strains change in relative abundance by >100-fold. In single-strain dropout communities, Cs and Ch reach the same relative abundance and dehydroxylate bile acids to a similar extent. However, Clostridium sporogenes increases >1,000-fold in the ΔCs but not ΔCh dropout, reshaping the pool of microbiome-derived phenylalanine metabolites. Thus, strains that are functionally redundant within a niche can have widely varying impacts outside the niche, and a strain swap can ripple through the community in an unpredictable manner, resulting in a large impact on an unrelated community-level phenotype.},
keywords = {MANTIS},
pubstate = {published},
tppubtype = {article}
}
The gut microbiome is complex, raising questions about the role of individual strains in the community. Here, we address this question by constructing variants of a complex defined community in which we eliminate strains that occupy the bile acid 7α-dehydroxylation niche. Omitting Clostridium scindens (Cs) and Clostridium hylemonae (Ch) eliminates secondary bile acid production and reshapes the community in a highly specific manner: eight strains change in relative abundance by >100-fold. In single-strain dropout communities, Cs and Ch reach the same relative abundance and dehydroxylate bile acids to a similar extent. However, Clostridium sporogenes increases >1,000-fold in the ΔCs but not ΔCh dropout, reshaping the pool of microbiome-derived phenylalanine metabolites. Thus, strains that are functionally redundant within a niche can have widely varying impacts outside the niche, and a strain swap can ripple through the community in an unpredictable manner, resulting in a large impact on an unrelated community-level phenotype. |
scEC&T-seq: a method for parallel sequencing of extrachromosomal circular DNAs and transcriptomes in single human cells González, Rocío In: 2023. @article{noKey,
title = {scEC&T-seq: a method for parallel sequencing of extrachromosomal circular DNAs and transcriptomes in single human cells},
author = {González, Rocío},
url = {https://europepmc.org/article/ppr/ppr665786},
doi = {https://doi.org/10.21203/rs.3.pex-2180/v1},
year = {2023},
date = {2023-05-24},
abstract = {Extrachromosomal DNA amplifications are common in cancer and are associated with decreased patient survival. A key feature of extrachromosomal circular DNA is its ability to be randomly mis-segregated to daughter cells promoting rapid intercellular heterogeneity. Understanding how extrachromosomal circular DNA dynamics contribute to intercellular heterogeneity remains crucial to better understand its role in tumor evolution and adaptation to therapy. Here, we introduce scEC&T-seq ( s ingle c ell e xtrachromosomal c ircular DNA and t ranscriptomic seq uencing), a method for parallel detection of extrachromosomal circular DNAs and full-length mRNA in single cancer cells. In this protocol, a single cell’s DNA is separated from its polyadenylated RNA as described by Macaulay et al. (2015) 1 . This is followed by removal of linear DNA through exonuclease digestion and further enrichment of circular DNA by rolling circle amplification with φ29 polymerase 2-4 . The separated mRNA from the same cell is processed using on-bead Smart-seq2 1 . The duration of the entire procedure from cell sorting to library preparation is approximately 8 days. Our scEC&T-seq protocol has been validated in single cancer cells from neuroblastoma cell lines and primary tumors, and in normal single T-cells isolated from patient’s blood. Besides identifying large, oncogene-containing circular DNAs in cancer cells, our method also captures other smaller circular DNAs, which have been previously described in both cancer and non-malignant cells 5 . We envision that our method may enable the analysis of yet unknown prerequisites for the maintenance of both small and large circular DNA in cancers, but also in the context of other diseases and normal cellular development.},
keywords = {MANTIS},
pubstate = {published},
tppubtype = {article}
}
Extrachromosomal DNA amplifications are common in cancer and are associated with decreased patient survival. A key feature of extrachromosomal circular DNA is its ability to be randomly mis-segregated to daughter cells promoting rapid intercellular heterogeneity. Understanding how extrachromosomal circular DNA dynamics contribute to intercellular heterogeneity remains crucial to better understand its role in tumor evolution and adaptation to therapy. Here, we introduce scEC&T-seq ( s ingle c ell e xtrachromosomal c ircular DNA and t ranscriptomic seq uencing), a method for parallel detection of extrachromosomal circular DNAs and full-length mRNA in single cancer cells. In this protocol, a single cell’s DNA is separated from its polyadenylated RNA as described by Macaulay et al. (2015) 1 . This is followed by removal of linear DNA through exonuclease digestion and further enrichment of circular DNA by rolling circle amplification with φ29 polymerase 2-4 . The separated mRNA from the same cell is processed using on-bead Smart-seq2 1 . The duration of the entire procedure from cell sorting to library preparation is approximately 8 days. Our scEC&T-seq protocol has been validated in single cancer cells from neuroblastoma cell lines and primary tumors, and in normal single T-cells isolated from patient’s blood. Besides identifying large, oncogene-containing circular DNAs in cancer cells, our method also captures other smaller circular DNAs, which have been previously described in both cancer and non-malignant cells 5 . We envision that our method may enable the analysis of yet unknown prerequisites for the maintenance of both small and large circular DNA in cancers, but also in the context of other diseases and normal cellular development. |
Time-aligned hourglass gastrulation models in rabbit and mouse Mayshar, Yoav In: 2023. @article{noKey,
title = {Time-aligned hourglass gastrulation models in rabbit and mouse},
author = {Mayshar, Yoav},
url = {https://www.cell.com/cell/fulltext/S0092-8674(23)00471-3?_returnURL=https%3A%2F%2Flinkinghub.elsevier.com%2Fretrieve%2Fpii%2FS0092867423004713%3Fshowall%3Dtrue},
doi = {https://doi.org/10.1016/j.cell.2023.04.037},
year = {2023},
date = {2023-05-19},
abstract = {The hourglass model describes the convergence of species within the same phylum to a similar body plan during development; however, the molecular mechanisms underlying this phenomenon in mammals remain poorly described. Here, we compare rabbit and mouse time-resolved differentiation trajectories to revisit this model at single-cell resolution. We modeled gastrulation dynamics using hundreds of embryos sampled between gestation days 6.0 and 8.5 and compared the species using a framework for time-resolved single-cell differentiation-flows analysis. We find convergence toward similar cell-state compositions at E7.5, supported by the quantitatively conserved expression of 76 transcription factors, despite divergence in surrounding trophoblast and hypoblast signaling. However, we observed noticeable changes in specification timing of some lineages and divergence of primordial germ cell programs, which in the rabbit do not activate mesoderm genes. Comparative analysis of temporal differentiation models provides a basis for studying the evolution of gastrulation dynamics across mammals.},
keywords = {MANTIS},
pubstate = {published},
tppubtype = {article}
}
The hourglass model describes the convergence of species within the same phylum to a similar body plan during development; however, the molecular mechanisms underlying this phenomenon in mammals remain poorly described. Here, we compare rabbit and mouse time-resolved differentiation trajectories to revisit this model at single-cell resolution. We modeled gastrulation dynamics using hundreds of embryos sampled between gestation days 6.0 and 8.5 and compared the species using a framework for time-resolved single-cell differentiation-flows analysis. We find convergence toward similar cell-state compositions at E7.5, supported by the quantitatively conserved expression of 76 transcription factors, despite divergence in surrounding trophoblast and hypoblast signaling. However, we observed noticeable changes in specification timing of some lineages and divergence of primordial germ cell programs, which in the rabbit do not activate mesoderm genes. Comparative analysis of temporal differentiation models provides a basis for studying the evolution of gastrulation dynamics across mammals. |
Interlaboratory Comparison Using Inactivated Authentic Sars-Cov-2 Variants as a Feasible Tool for Quality Control in Covid-19 Wastewater Monitoring Wilhelm, Alexander In: 2023. @article{noKey,
title = {Interlaboratory Comparison Using Inactivated Authentic Sars-Cov-2 Variants as a Feasible Tool for Quality Control in Covid-19 Wastewater Monitoring},
author = {Wilhelm, Alexander},
url = {https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4442612},
doi = {http://dx.doi.org/10.2139/ssrn.4442612},
year = {2023},
date = {2023-05-18},
abstract = {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.},
keywords = {MANTIS},
pubstate = {published},
tppubtype = {article}
}
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. |
Single-cell transcriptomics of a dynamic cell behavior in murine airways Kwok, Sheldon JJ In: 2023. @article{noKey,
title = {Single-cell transcriptomics of a dynamic cell behavior in murine airways},
author = {Kwok, Sheldon JJ},
url = {https://elifesciences.org/articles/76645},
doi = {https://doi.org/10.7554/eLife.76645},
year = {2023},
date = {2023-05-11},
abstract = {Despite advances in high-dimensional cellular analysis, the molecular profiling of dynamic behaviors of cells in their native environment remains a major challenge. We present a method that allows us to couple the physiological behaviors of cells in an intact murine tissue to deep molecular profiling of individual cells. This method enabled us to establish a novel molecular signature for a striking migratory cellular behavior following injury in murine airways.},
keywords = {MANTIS},
pubstate = {published},
tppubtype = {article}
}
Despite advances in high-dimensional cellular analysis, the molecular profiling of dynamic behaviors of cells in their native environment remains a major challenge. We present a method that allows us to couple the physiological behaviors of cells in an intact murine tissue to deep molecular profiling of individual cells. This method enabled us to establish a novel molecular signature for a striking migratory cellular behavior following injury in murine airways. |
Phylogenetic and metabolic diversity of microbial communities performing anaerobic ammonium and methane oxidations under different nitrogen loadings Li, Jie In: 2023. @article{noKey,
title = {Phylogenetic and metabolic diversity of microbial communities performing anaerobic ammonium and methane oxidations under different nitrogen loadings},
author = {Li, Jie},
url = {https://www.nature.com/articles/s43705-023-00246-4#Sec19},
doi = {https://doi.org/10.1038/s43705-023-00246-4},
year = {2023},
date = {2023-04-25},
abstract = {The microbial guild coupling anammox and nitrite/nitrate-dependent anaerobic methane oxidation (n-DAMO) is an innovative process to achieve energy-efficient nitrogen removal with the beneficial use of methane in biogas or in anaerobically treated wastewater. Here, metagenomics and metatranscriptomics were used to reveal the microbial ecology of two biofilm systems, which incorporate anammox and n-DAMO for high-level nitrogen removal in low-strength domestic sewage and high-strength sidestream wastewater, respectively. We find that different nitrogen loadings (i.e., 0.1 vs. 1.0 kg N/m3/d) lead to different combinations of anammox bacteria and anaerobic methanotrophs (“Candidatus Methanoperedens” and “Candidatus Methylomirabilis”), which play primary roles for carbon and nitrogen transformations therein. Despite methane being the only exogenous organic carbon supplied, heterotrophic populations (e.g., Verrucomicrobiota and Bacteroidota) co-exist and actively perform partial denitrification or dissimilatory nitrate reduction to ammonium (DNRA), likely using organic intermediates from the breakdown of methane and biomass as carbon sources. More importantly, two novel genomes belonging to “Ca. Methylomirabilis” are recovered, while one surprisingly expresses nitrate reductases, which we designate as “Ca. Methylomirabilis nitratireducens” representing its inferred capability in performing nitrate-dependent anaerobic methane oxidation. This finding not only suggests a previously neglected possibility of “Ca. Methylomirabilis” bacteria in performing methane-dependent nitrate reduction, and also challenges the previous understanding that the methane-dependent complete denitrification from nitrate to dinitrogen gas is carried out by the consortium of bacteria and archaea.},
keywords = {MANTIS},
pubstate = {published},
tppubtype = {article}
}
The microbial guild coupling anammox and nitrite/nitrate-dependent anaerobic methane oxidation (n-DAMO) is an innovative process to achieve energy-efficient nitrogen removal with the beneficial use of methane in biogas or in anaerobically treated wastewater. Here, metagenomics and metatranscriptomics were used to reveal the microbial ecology of two biofilm systems, which incorporate anammox and n-DAMO for high-level nitrogen removal in low-strength domestic sewage and high-strength sidestream wastewater, respectively. We find that different nitrogen loadings (i.e., 0.1 vs. 1.0 kg N/m3/d) lead to different combinations of anammox bacteria and anaerobic methanotrophs (“Candidatus Methanoperedens” and “Candidatus Methylomirabilis”), which play primary roles for carbon and nitrogen transformations therein. Despite methane being the only exogenous organic carbon supplied, heterotrophic populations (e.g., Verrucomicrobiota and Bacteroidota) co-exist and actively perform partial denitrification or dissimilatory nitrate reduction to ammonium (DNRA), likely using organic intermediates from the breakdown of methane and biomass as carbon sources. More importantly, two novel genomes belonging to “Ca. Methylomirabilis” are recovered, while one surprisingly expresses nitrate reductases, which we designate as “Ca. Methylomirabilis nitratireducens” representing its inferred capability in performing nitrate-dependent anaerobic methane oxidation. This finding not only suggests a previously neglected possibility of “Ca. Methylomirabilis” bacteria in performing methane-dependent nitrate reduction, and also challenges the previous understanding that the methane-dependent complete denitrification from nitrate to dinitrogen gas is carried out by the consortium of bacteria and archaea. |
Assessment of melanoma therapy response L, Robert In: 2023. @article{noKey,
title = {Assessment of melanoma therapy response},
author = {L, Robert},
url = {https://patents.google.com/patent/US20230112964A1/en},
doi = {US20230112964A1},
year = {2023},
date = {2023-04-13},
abstract = {Described herein are methods for stratifying and evaluating melanoma treatment response in a subject using single-cell RNA sequencing (scRNA-seq) and a two-step deconvolution analysis and optionally administering a treatment depending on the results. Embodiment described herein are methods for stratifying and evaluating melanoma treatment response in a subject based on single cell or bulk RNA sequencing, bulk transcriptome profiling and/or transcript counting, and a two-step deconvolution analysis and optionally administering a treatment depending on the results.},
keywords = {MANTIS},
pubstate = {published},
tppubtype = {article}
}
Described herein are methods for stratifying and evaluating melanoma treatment response in a subject using single-cell RNA sequencing (scRNA-seq) and a two-step deconvolution analysis and optionally administering a treatment depending on the results. Embodiment described herein are methods for stratifying and evaluating melanoma treatment response in a subject based on single cell or bulk RNA sequencing, bulk transcriptome profiling and/or transcript counting, and a two-step deconvolution analysis and optionally administering a treatment depending on the results. |