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Rymuza J, Sun Y, Zheng G, LeRoy N, Murach M, Phan N, Zhang A, Sheffield N. Methods for constructing and evaluating consensus genomic interval sets. Nucleic Acids Res 2024; 52:10119-10131. [PMID: 39180401 PMCID: PMC11417377 DOI: 10.1093/nar/gkae685] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 07/05/2024] [Accepted: 07/29/2024] [Indexed: 08/26/2024] Open
Abstract
The amount of genomic region data continues to increase. Integrating across diverse genomic region sets requires consensus regions, which enable comparing regions across experiments, but also by necessity lose precision in region definitions. We require methods to assess this loss of precision and build optimal consensus region sets. Here, we introduce the concept of flexible intervals and propose three novel methods for building consensus region sets, or universes: a coverage cutoff method, a likelihood method, and a Hidden Markov Model. We then propose three novel measures for evaluating how well a proposed universe fits a collection of region sets: a base-level overlap score, a region boundary distance score, and a likelihood score. We apply our methods and evaluation approaches to several collections of region sets and show how these methods can be used to evaluate fit of universes and build optimal universes. We describe scenarios where the common approach of merging regions to create consensus leads to undesirable outcomes and provide principled alternatives that provide interoperability of interval data while minimizing loss of resolution.
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Affiliation(s)
- Julia Rymuza
- Department of Genome Sciences, School of Medicine, University of Virginia, Charlottesville, VA 22908, USA
| | - Yuchen Sun
- Department of Genome Sciences, School of Medicine, University of Virginia, Charlottesville, VA 22908, USA
- Department of Computer Science, School of Engineering, University of Virginia, Charlottesville, VA 22908, USA
| | - Guangtao Zheng
- Department of Computer Science, School of Engineering, University of Virginia, Charlottesville, VA 22908, USA
| | - Nathan J LeRoy
- Department of Genome Sciences, School of Medicine, University of Virginia, Charlottesville, VA 22908, USA
- Department of Biomedical Engineering, School of Medicine, University of Virginia, Charlottesville, VA 22904, USA
| | - Maria Murach
- Department of Genome Sciences, School of Medicine, University of Virginia, Charlottesville, VA 22908, USA
- Department of Biochemistry and Molecular Genetics, School of Medicine, University of Virginia, Charlottesville, VA 22908, USA
| | - Neil Phan
- Department of Genome Sciences, School of Medicine, University of Virginia, Charlottesville, VA 22908, USA
- Department of Computer Science, School of Engineering, University of Virginia, Charlottesville, VA 22908, USA
| | - Aidong Zhang
- Department of Computer Science, School of Engineering, University of Virginia, Charlottesville, VA 22908, USA
- Department of Biomedical Engineering, School of Medicine, University of Virginia, Charlottesville, VA 22904, USA
- School of Data Science, University of Virginia, Charlottesville, VA 22904, USA
| | - Nathan C Sheffield
- Department of Genome Sciences, School of Medicine, University of Virginia, Charlottesville, VA 22908, USA
- Department of Biomedical Engineering, School of Medicine, University of Virginia, Charlottesville, VA 22904, USA
- Department of Biochemistry and Molecular Genetics, School of Medicine, University of Virginia, Charlottesville, VA 22908, USA
- School of Data Science, University of Virginia, Charlottesville, VA 22904, USA
- Department of Public Health Sciences, School of Medicine, University of Virginia, Charlottesville, VA 22908, USA
- Child Health Research Center, School of Medicine, University of Virginia, Charlottesville, VA 22908, USA
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Wang L, Baek S, Prasad G, Wildenthal J, Guo K, Sturgill D, Truongvo T, Char E, Pegoraro G, McKinnon K, Hoskins JW, Amundadottir LT, Arda HE. Predictive Prioritization of Enhancers Associated with Pancreas Disease Risk. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.09.07.611794. [PMID: 39314336 PMCID: PMC11418953 DOI: 10.1101/2024.09.07.611794] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/25/2024]
Abstract
Genetic and epigenetic variations in regulatory enhancer elements increase susceptibility to a range of pathologies. Despite recent advances, linking enhancer elements to target genes and predicting transcriptional outcomes of enhancer dysfunction remain significant challenges. Using 3D chromatin conformation assays, we generated an extensive enhancer interaction dataset for the human pancreas, encompassing more than 20 donors and five major cell types, including both exocrine and endocrine compartments. We employed a network approach to parse chromatin interactions into enhancer-promoter tree models, facilitating a quantitative, genome-wide analysis of enhancer connectivity. With these tree models, we developed a machine learning algorithm to estimate the impact of enhancer perturbations on cell type-specific gene expression in the human pancreas. Orthogonal to our computational approach, we perturbed enhancer function in primary human pancreas cells using CRISPR interference and quantified the effects at the single-cell level through RNA FISH coupled with high-throughput imaging. Our enhancer tree models enabled the annotation of common germline risk variants associated with pancreas diseases, linking them to putative target genes in specific cell types. For pancreatic ductal adenocarcinoma, we found a stronger enrichment of disease susceptibility variants within acinar cell regulatory elements, despite ductal cells historically being assumed as the primary cell-of-origin. Our integrative approach-combining cell type-specific enhancer-promoter interaction mapping, computational models, and single-cell enhancer perturbation assays-produced a robust resource for studying the genetic basis of pancreas disorders.
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Loeb GB, Kathail P, Shuai RW, Chung R, Grona RJ, Peddada S, Sevim V, Federman S, Mader K, Chu AY, Davitte J, Du J, Gupta AR, Ye CJ, Shafer S, Przybyla L, Rapiteanu R, Ioannidis NM, Reiter JF. Variants in tubule epithelial regulatory elements mediate most heritable differences in human kidney function. Nat Genet 2024:10.1038/s41588-024-01904-6. [PMID: 39256582 DOI: 10.1038/s41588-024-01904-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 08/12/2024] [Indexed: 09/12/2024]
Abstract
Kidney failure, the decrease of kidney function below a threshold necessary to support life, is a major cause of morbidity and mortality. We performed a genome-wide association study (GWAS) of 406,504 individuals in the UK Biobank, identifying 430 loci affecting kidney function in middle-aged adults. To investigate the cell types affected by these loci, we integrated the GWAS with human kidney candidate cis-regulatory elements (cCREs) identified using single-cell assay for transposase-accessible chromatin sequencing (scATAC-seq). Overall, 56% of kidney function heritability localized to kidney tubule epithelial cCREs and an additional 7% to kidney podocyte cCREs. Thus, most heritable differences in adult kidney function are a result of altered gene expression in these two cell types. Using enhancer assays, allele-specific scATAC-seq and machine learning, we found that many kidney function variants alter tubule epithelial cCRE chromatin accessibility and function. Using CRISPRi, we determined which genes some of these cCREs regulate, implicating NDRG1, CCNB1 and STC1 in human kidney function.
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Affiliation(s)
- Gabriel B Loeb
- Division of Nephrology, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA.
- Cardiovascular Research Institute, University of California, San Francisco, San Francisco, CA, USA.
| | - Pooja Kathail
- Center for Computational Biology, University of California, Berkeley, Berkeley, CA, USA
| | - Richard W Shuai
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, USA
| | - Ryan Chung
- Center for Computational Biology, University of California, Berkeley, Berkeley, CA, USA
| | - Reinier J Grona
- Division of Nephrology, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
- Cardiovascular Research Institute, University of California, San Francisco, San Francisco, CA, USA
| | - Sailaja Peddada
- Laboratory for Genomics Research, San Francisco, CA, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA
| | - Volkan Sevim
- Laboratory for Genomics Research, San Francisco, CA, USA
- Target Discovery, GSK, San Francisco, CA, USA
| | - Scot Federman
- Laboratory for Genomics Research, San Francisco, CA, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA
| | - Karl Mader
- Laboratory for Genomics Research, San Francisco, CA, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA
| | - Audrey Y Chu
- Human Genetics and Genomics, GSK, Cambridge, MA, USA
| | | | - Juan Du
- Department of Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Alexander R Gupta
- Department of Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Chun Jimmie Ye
- Division of Rheumatology, Department of Medicine; Bakar Computational Health Sciences Institute; Parker Institute for Cancer Immunotherapy; Institute for Human Genetics; Department of Epidemiology & Biostatistics; Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA, USA
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
- Arc Institute, Palo Alto, CA, USA
| | - Shawn Shafer
- Laboratory for Genomics Research, San Francisco, CA, USA
- Target Discovery, GSK, San Francisco, CA, USA
| | - Laralynne Przybyla
- Laboratory for Genomics Research, San Francisco, CA, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA
| | - Radu Rapiteanu
- Genome Biology, Research Technologies, GSK, Stevenage, UK
| | - Nilah M Ioannidis
- Center for Computational Biology, University of California, Berkeley, Berkeley, CA, USA
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, USA
- Chan Zuckerberg Biohub, San Francisco, CA, USA
| | - Jeremy F Reiter
- Cardiovascular Research Institute, University of California, San Francisco, San Francisco, CA, USA.
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA.
- Chan Zuckerberg Biohub, San Francisco, CA, USA.
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Smith JP, Paxton R, Medrano S, Sheffield NC, Sequeira-Lopez MLS, Ariel Gomez R. Inhibition of Renin Expression Is Regulated by an Epigenetic Switch From an Active to a Poised State. Hypertension 2024; 81:1869-1882. [PMID: 38989586 PMCID: PMC11337216 DOI: 10.1161/hypertensionaha.124.22886] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Accepted: 07/02/2024] [Indexed: 07/12/2024]
Abstract
BACKGROUND Renin-expressing cells are myoendocrine cells crucial for the maintenance of homeostasis. Renin is regulated by cAMP, p300 (histone acetyltransferase p300)/CBP (CREB-binding protein), and Brd4 (bromodomain-containing protein 4) proteins and associated pathways. However, the specific regulatory changes that occur following inhibition of these pathways are not clear. METHODS We treated As4.1 cells (tumoral cells derived from mouse juxtaglomerular cells that constitutively express renin) with 3 inhibitors that target different factors required for renin transcription: H-89-dihydrochloride, PKA (protein kinase A) inhibitor; JQ1, Brd4 bromodomain inhibitor; and A-485, p300/CBP inhibitor. We performed assay for transposase-accessible chromatin with sequencing (ATAC-seq), single-cell RNA sequencing, cleavage under targets and tagmentation (CUT&Tag), and chromatin immunoprecipitation sequencing for H3K27ac (acetylation of lysine 27 of the histone H3 protein) and p300 binding on biological replicates of treated and control As4.1 cells. RESULTS In response to each inhibitor, Ren1 expression was significantly reduced and reversible upon washout. Chromatin accessibility at the Ren1 locus did not markedly change but was globally reduced at distal elements. Inhibition of PKA led to significant reductions in H3K27ac and p300 binding specifically within the Ren1 super-enhancer region. Further, we identified enriched TF (transcription factor) motifs shared across each inhibitory treatment. Finally, we identified a set of 9 genes with putative roles across each of the 3 renin regulatory pathways and observed that each displayed differentially accessible chromatin, gene expression, H3K27ac, and p300 binding at their respective loci. CONCLUSIONS Inhibition of renin expression in cells that constitutively synthesize and release renin is regulated by an epigenetic switch from an active to poised state associated with decreased cell-cell communication and an epithelial-mesenchymal transition. This work highlights and helps define the factors necessary for renin cells to alternate between myoendocrine and contractile phenotypes.
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Affiliation(s)
- Jason P. Smith
- Department of Pediatrics, Child Health Research Center, University of Virginia, Charlottesville, Virginia
| | - Robert Paxton
- Department of Pediatrics, Child Health Research Center, University of Virginia, Charlottesville, Virginia
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria
| | - Silvia Medrano
- Department of Pediatrics, Child Health Research Center, University of Virginia, Charlottesville, Virginia
| | - Nathan C. Sheffield
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia
- Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia
- Department of Biomedical Engineering, University of Virginia, Charlottesville, Virginia
- Department of Biochemistry and Molecular Genetics, University of Virginia, Charlottesville, Virginia
| | | | - R. Ariel Gomez
- Department of Pediatrics, Child Health Research Center, University of Virginia, Charlottesville, Virginia
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5
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Walter RM, Majumder K, Kalejta RF. ATRX restricts Human Cytomegalovirus (HCMV) viral DNA replication through heterochromatinization and minimizes unpackaged viral genomes. PLoS Pathog 2024; 20:e1012516. [PMID: 39236084 PMCID: PMC11407672 DOI: 10.1371/journal.ppat.1012516] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Revised: 09/17/2024] [Accepted: 08/20/2024] [Indexed: 09/07/2024] Open
Abstract
ATRX limits the accumulation of human cytomegalovirus (HCMV) Immediate Early (IE) proteins at the start of productive, lytic infections, and thus is a part of the cell-intrinsic defenses against infecting viruses. ATRX is a chromatin remodeler and a component of a histone chaperone complex. Therefore, we hypothesized ATRX would inhibit the transcription of HCMV IE genes by increasing viral genome heterochromatinization and decreasing its accessibility. To test this hypothesis, we quantitated viral transcription and genome structure in cells replete with or depleted of ATRX. We found ATRX did indeed limit viral IE transcription, increase viral genome chromatinization, and decrease viral genome accessibility. The inhibitory effects of ATRX extended to Early (E) and Late (L) viral protein accumulation, viral DNA replication, and progeny virion output. However, we found the negative effects of ATRX on HCMV viral DNA replication were independent of its effects on viral IE and E protein accumulation but correlated with viral genome heterochromatinization. Interestingly, the increased number of viral genomes synthesized in ATRX-depleted cells were not efficiently packaged, indicating the ATRX-mediated restriction to HCMV viral DNA replication may benefit productive infection by increasing viral fitness. Our work mechanistically describes the antiviral function of ATRX and introduces a novel, pro-viral role for this protein, perhaps explaining why, unlike during infections with other herpesviruses, it is not directly targeted by a viral countermeasure in HCMV infected cells.
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Affiliation(s)
- Ryan M Walter
- Institute for Molecular Virology and McArdle Laboratory for Cancer Research, University of Wisconsin-Madison, Madison, Wisconsin, United States of America
| | - Kinjal Majumder
- Institute for Molecular Virology and McArdle Laboratory for Cancer Research, University of Wisconsin-Madison, Madison, Wisconsin, United States of America
| | - Robert F Kalejta
- Institute for Molecular Virology and McArdle Laboratory for Cancer Research, University of Wisconsin-Madison, Madison, Wisconsin, United States of America
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6
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Salignon J, Millan-Ariño L, Garcia MU, Riedel CG. Cactus: A user-friendly and reproducible ATAC-Seq and mRNA-Seq analysis pipeline for data preprocessing, differential analysis, and enrichment analysis. Genomics 2024; 116:110858. [PMID: 38735595 DOI: 10.1016/j.ygeno.2024.110858] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Revised: 05/06/2024] [Accepted: 05/09/2024] [Indexed: 05/14/2024]
Abstract
The ever decreasing cost of Next-Generation Sequencing coupled with the emergence of efficient and reproducible analysis pipelines has rendered genomic methods more accessible. However, downstream analyses are basic or missing in most workflows, creating a significant barrier for non-bioinformaticians. To help close this gap, we developed Cactus, an end-to-end pipeline for analyzing ATAC-Seq and mRNA-Seq data, either separately or jointly. Its Nextflow-, container-, and virtual environment-based architecture ensures efficient and reproducible analyses. Cactus preprocesses raw reads, conducts differential analyses between conditions, and performs enrichment analyses in various databases, including DNA-binding motifs, ChIP-Seq binding sites, chromatin states, and ontologies. We demonstrate the utility of Cactus in a multi-modal and multi-species case study as well as by showcasing its unique capabilities as compared to other ATAC-Seq pipelines. In conclusion, Cactus can assist researchers in gaining comprehensive insights from chromatin accessibility and gene expression data in a quick, user-friendly, and reproducible manner.
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Affiliation(s)
- Jérôme Salignon
- Department of Bioscience and Nutrition, Karolinska Institute, Blickagången 16, Huddinge SE-141 83, Sweden.
| | - Lluís Millan-Ariño
- Department of Bioscience and Nutrition, Karolinska Institute, Blickagången 16, Huddinge SE-141 83, Sweden
| | - Maxime U Garcia
- National Genomics Infrastructure, Science for Life Laboratory, Tomtebodavägen 23A, Solna SE-171 65, Sweden; Department of Oncology-Pathology, Karolinska Institute, Visionsgatan 4, Solna SE-171 64, Sweden
| | - Christian G Riedel
- Department of Bioscience and Nutrition, Karolinska Institute, Blickagången 16, Huddinge SE-141 83, Sweden.
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Gauberg J, Moreno KB, Jayaraman K, Abumeri S, Jenkins S, Salazar AM, Meharena HS, Glasgow SM. Spinal motor neuron development and metabolism are transcriptionally regulated by Nuclear Factor IA. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.26.600888. [PMID: 38979382 PMCID: PMC11230388 DOI: 10.1101/2024.06.26.600888] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/10/2024]
Abstract
Neural circuits governing all motor behaviors in vertebrates rely on the proper development of motor neurons and their precise targeting of limb muscles. Transcription factors are essential for motor neuron development, regulating their specification, migration, and axonal targeting. While transcriptional regulation of the early stages of motor neuron specification is well-established, much less is known about the role of transcription factors in the later stages of maturation and terminal arborization. Defining the molecular mechanisms of these later stages is critical for elucidating how motor circuits are constructed. Here, we demonstrate that the transcription factor Nuclear Factor-IA (NFIA) is required for motor neuron positioning, axonal branching, and neuromuscular junction formation. Moreover, we find that NFIA is required for proper mitochondrial function and ATP production, providing a new and important link between transcription factors and metabolism during motor neuron development. Together, these findings underscore the critical role of NFIA in instructing the assembly of spinal circuits for movement.
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Loeb GB, Kathail P, Shuai R, Chung R, Grona RJ, Peddada S, Sevim V, Federman S, Mader K, Chu A, Davitte J, Du J, Gupta AR, Ye CJ, Shafer S, Przybyla L, Rapiteanu R, Ioannidis N, Reiter JF. Variants in tubule epithelial regulatory elements mediate most heritable differences in human kidney function. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.18.599625. [PMID: 38948875 PMCID: PMC11212968 DOI: 10.1101/2024.06.18.599625] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/02/2024]
Abstract
Kidney disease is highly heritable; however, the causal genetic variants, the cell types in which these variants function, and the molecular mechanisms underlying kidney disease remain largely unknown. To identify genetic loci affecting kidney function, we performed a GWAS using multiple kidney function biomarkers and identified 462 loci. To begin to investigate how these loci affect kidney function, we generated single-cell chromatin accessibility (scATAC-seq) maps of the human kidney and identified candidate cis-regulatory elements (cCREs) for kidney podocytes, tubule epithelial cells, and kidney endothelial, stromal, and immune cells. Kidney tubule epithelial cCREs explained 58% of kidney function SNP-heritability and kidney podocyte cCREs explained an additional 6.5% of SNP-heritability. In contrast, little kidney function heritability was explained by kidney endothelial, stromal, or immune cell-specific cCREs. Through functionally informed fine-mapping, we identified putative causal kidney function variants and their corresponding cCREs. Using kidney scATAC-seq data, we created a deep learning model (which we named ChromKid) to predict kidney cell type-specific chromatin accessibility from sequence. ChromKid and allele specific kidney scATAC-seq revealed that many fine-mapped kidney function variants locally change chromatin accessibility in tubule epithelial cells. Enhancer assays confirmed that fine-mapped kidney function variants alter tubule epithelial regulatory element function. To map the genes which these regulatory elements control, we used CRISPR interference (CRISPRi) to target these regulatory elements in tubule epithelial cells and assessed changes in gene expression. CRISPRi of enhancers harboring kidney function variants regulated NDRG1 and RBPMS expression. Thus, inherited differences in tubule epithelial NDRG1 and RBPMS expression may predispose to kidney disease in humans. We conclude that genetic variants affecting tubule epithelial regulatory element function account for most SNP-heritability of human kidney function. This work provides an experimental approach to identify the variants, regulatory elements, and genes involved in polygenic disease.
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Affiliation(s)
- Gabriel B. Loeb
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
- Cardiovascular Research Institute, University of California, San Francisco, San Francisco, CA, US
| | - Pooja Kathail
- Department of Electrical Engineering and Computer Science, Center for Computational Biology, University of California Berkeley, Berkeley, CA, USA
| | - Richard Shuai
- Department of Electrical Engineering and Computer Science, Center for Computational Biology, University of California Berkeley, Berkeley, CA, USA
| | - Ryan Chung
- Department of Electrical Engineering and Computer Science, Center for Computational Biology, University of California Berkeley, Berkeley, CA, USA
| | - Reinier J. Grona
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Sailaja Peddada
- Laboratory for Genomics Research, University of California, San Francisco, San Francisco, CA, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA
| | - Volkan Sevim
- Laboratory for Genomics Research, University of California, San Francisco, San Francisco, CA, USA
- Genomic Sciences, GlaxoSmithKline, San Francisco, CA, USA
| | - Scot Federman
- Laboratory for Genomics Research, University of California, San Francisco, San Francisco, CA, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA
| | - Karl Mader
- Laboratory for Genomics Research, University of California, San Francisco, San Francisco, CA, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA
| | - Audrey Chu
- Genomic Sciences, GlaxoSmithKline, San Francisco, CA, USA
| | | | - Juan Du
- Department of Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Alexander R. Gupta
- Department of Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Chun Jimmie Ye
- Division of Rheumatology, Department of Medicine; Bakar Computational Health Sciences Institute; Parker Institute for Cancer Immunotherapy; Institute for Human Genetics; Department of Epidemiology & Biostatistics; Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA, USA and Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
| | - Shawn Shafer
- Laboratory for Genomics Research, University of California, San Francisco, San Francisco, CA, USA
- Genomic Sciences, GlaxoSmithKline, San Francisco, CA, USA
| | - Laralynne Przybyla
- Laboratory for Genomics Research, University of California, San Francisco, San Francisco, CA, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA
| | - Radu Rapiteanu
- Genomic Sciences, GlaxoSmithKline, San Francisco, CA, USA
| | - Nilah Ioannidis
- Department of Electrical Engineering and Computer Science, Center for Computational Biology, University of California Berkeley, Berkeley, CA, USA
- Chan Zuckerberg Biohub, San Francisco, CA, USA
| | - Jeremy F. Reiter
- Cardiovascular Research Institute, University of California, San Francisco, San Francisco, CA, US
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA
- Chan Zuckerberg Biohub, San Francisco, CA, USA
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9
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Elovitz M, Anton L, Cristancho A, Ferguson B, Joseph A, Ravel J. Vaginal microbes alter epithelial transcriptome and induce epigenomic modifications providing insight into mechanisms for susceptibility to adverse reproductive outcomes. RESEARCH SQUARE 2024:rs.3.rs-4385224. [PMID: 38854063 PMCID: PMC11160883 DOI: 10.21203/rs.3.rs-4385224/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2024]
Abstract
The cervicovaginal microbiome is highly associated with women's health, with microbial communities dominated by Lactobacillus species considered optimal. Conversely, a lack of lactobacilli and a high abundance of strict and facultative anaerobes, including Gardnerella vaginalis, have been associated with adverse reproductive outcomes. However, how host-microbial interactions alter specific molecular pathways and impact cervical and vaginal epithelial function remains unclear. Using RNA-sequencing, we characterized the in vitro cervicovaginal epithelial transcriptional response to different vaginal bacteria and their culture supernatants. We showed that G. vaginalis upregulates genes associated with an activated innate immune response. Unexpectedly, G. vaginalis specifically induced inflammasome pathways through activation of NLRP3-mediated increases in caspase-1, IL-1β and cell death, while live L. crispatus had minimal transcriptomic changes on epithelial cells. L. crispatus culture supernatants resulted in a shift in the epigenomic landscape of cervical epithelial cells that was confirmed by ATAC-sequencing showing reduced chromatin accessibility. This study reveals new insights into host-microbe interactions in the lower reproductive tract and suggests potential therapeutic strategies leveraging the vaginal microbiome to improve reproductive health.
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10
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Sen B, Xie Z, Thomas MD, Pattenden SG, Howard S, McGrath C, Styner M, Uzer G, Furey TS, Rubin J. Nuclear actin structure regulates chromatin accessibility. Nat Commun 2024; 15:4095. [PMID: 38750021 PMCID: PMC11096319 DOI: 10.1038/s41467-024-48580-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Accepted: 05/07/2024] [Indexed: 05/18/2024] Open
Abstract
Polymerized β-actin may provide a structural basis for chromatin accessibility and actin transport into the nucleus can guide mesenchymal stem cell (MSC) differentiation. Using MSC, we show that using CK666 to inhibit Arp2/3 directed secondary actin branching results in decreased nuclear actin structure, and significantly alters chromatin access measured with ATACseq at 24 h. The ATAC-seq results due to CK666 are distinct from those caused by cytochalasin D (CytoD), which enhances nuclear actin structure. In addition, nuclear visualization shows Arp2/3 inhibition decreases pericentric H3K9me3 marks. CytoD, alternatively, induces redistribution of H3K27me3 marks centrally. Such alterations in chromatin landscape are consistent with differential gene expression associated with distinctive differentiation patterns. Further, knockdown of the non-enzymatic monomeric actin binding protein, Arp4, leads to extensive chromatin unpacking, but only a modest increase in transcription, indicating an active role for actin-Arp4 in transcription. These data indicate that dynamic actin remodeling can regulate chromatin interactions.
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Affiliation(s)
- Buer Sen
- Department of Medicine, University of North Carolina, Chapel Hill, NC, USA
| | - Zhihui Xie
- Department of Medicine, University of North Carolina, Chapel Hill, NC, USA
| | - Michelle D Thomas
- Division of Chemical Biology and Medicinal Chemistry, Center for Integrative Chemical Biology and Drug Discovery, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Samantha G Pattenden
- Division of Chemical Biology and Medicinal Chemistry, Center for Integrative Chemical Biology and Drug Discovery, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Sean Howard
- Department of Mechanical and Biomedical Engineering, Boise State University, Boise, ID, USA
| | - Cody McGrath
- Department of Medicine, University of North Carolina, Chapel Hill, NC, USA
| | - Maya Styner
- Department of Medicine, University of North Carolina, Chapel Hill, NC, USA
| | - Gunes Uzer
- Department of Mechanical and Biomedical Engineering, Boise State University, Boise, ID, USA
| | - Terrence S Furey
- Departments of Genetics and Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Janet Rubin
- Department of Medicine, University of North Carolina, Chapel Hill, NC, USA.
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Saldana-Guerrero IM, Montano-Gutierrez LF, Boswell K, Hafemeister C, Poon E, Shaw LE, Stavish D, Lea RA, Wernig-Zorc S, Bozsaky E, Fetahu IS, Zoescher P, Pötschger U, Bernkopf M, Wenninger-Weinzierl A, Sturtzel C, Souilhol C, Tarelli S, Shoeb MR, Bozatzi P, Rados M, Guarini M, Buri MC, Weninger W, Putz EM, Huang M, Ladenstein R, Andrews PW, Barbaric I, Cresswell GD, Bryant HE, Distel M, Chesler L, Taschner-Mandl S, Farlik M, Tsakiridis A, Halbritter F. A human neural crest model reveals the developmental impact of neuroblastoma-associated chromosomal aberrations. Nat Commun 2024; 15:3745. [PMID: 38702304 PMCID: PMC11068915 DOI: 10.1038/s41467-024-47945-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Accepted: 04/15/2024] [Indexed: 05/06/2024] Open
Abstract
Early childhood tumours arise from transformed embryonic cells, which often carry large copy number alterations (CNA). However, it remains unclear how CNAs contribute to embryonic tumourigenesis due to a lack of suitable models. Here we employ female human embryonic stem cell (hESC) differentiation and single-cell transcriptome and epigenome analysis to assess the effects of chromosome 17q/1q gains, which are prevalent in the embryonal tumour neuroblastoma (NB). We show that CNAs impair the specification of trunk neural crest (NC) cells and their sympathoadrenal derivatives, the putative cells-of-origin of NB. This effect is exacerbated upon overexpression of MYCN, whose amplification co-occurs with CNAs in NB. Moreover, CNAs potentiate the pro-tumourigenic effects of MYCN and mutant NC cells resemble NB cells in tumours. These changes correlate with a stepwise aberration of developmental transcription factor networks. Together, our results sketch a mechanistic framework for the CNA-driven initiation of embryonal tumours.
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Affiliation(s)
- Ingrid M Saldana-Guerrero
- Centre for Stem Cell Biology, School of Biosciences, The University of Sheffield, Sheffield, UK
- Neuroscience Institute, The University of Sheffield, Sheffield, UK
- Sheffield Institute for Nucleic Acids (SInFoNiA), School of Medicine and Population Health, The University of Sheffield, Sheffield, UK
| | | | - Katy Boswell
- Centre for Stem Cell Biology, School of Biosciences, The University of Sheffield, Sheffield, UK
- Neuroscience Institute, The University of Sheffield, Sheffield, UK
| | | | - Evon Poon
- Division of Clinical Studies, The Institute of Cancer Research (ICR) & Royal Marsden NHS Trust, London, UK
| | - Lisa E Shaw
- Department of Dermatology, Medical University of Vienna, Vienna, Austria
| | - Dylan Stavish
- Centre for Stem Cell Biology, School of Biosciences, The University of Sheffield, Sheffield, UK
- Neuroscience Institute, The University of Sheffield, Sheffield, UK
| | - Rebecca A Lea
- Centre for Stem Cell Biology, School of Biosciences, The University of Sheffield, Sheffield, UK
- Neuroscience Institute, The University of Sheffield, Sheffield, UK
| | - Sara Wernig-Zorc
- St. Anna Children's Cancer Research Institute (CCRI), Vienna, Austria
| | - Eva Bozsaky
- St. Anna Children's Cancer Research Institute (CCRI), Vienna, Austria
| | - Irfete S Fetahu
- St. Anna Children's Cancer Research Institute (CCRI), Vienna, Austria
- Medical University of Vienna, Department of Neurology, Division of Neuropathology and Neurochemistry, Vienna, Austria
| | - Peter Zoescher
- St. Anna Children's Cancer Research Institute (CCRI), Vienna, Austria
| | - Ulrike Pötschger
- St. Anna Children's Cancer Research Institute (CCRI), Vienna, Austria
| | - Marie Bernkopf
- St. Anna Children's Cancer Research Institute (CCRI), Vienna, Austria
- Labdia Labordiagnostik GmbH, Vienna, Austria
| | | | - Caterina Sturtzel
- St. Anna Children's Cancer Research Institute (CCRI), Vienna, Austria
| | - Celine Souilhol
- Centre for Stem Cell Biology, School of Biosciences, The University of Sheffield, Sheffield, UK
- Neuroscience Institute, The University of Sheffield, Sheffield, UK
- Biomolecular Sciences Research Centre, Department of Biosciences and Chemistry, Sheffield Hallam University, Sheffield, UK
| | - Sophia Tarelli
- Centre for Stem Cell Biology, School of Biosciences, The University of Sheffield, Sheffield, UK
- Neuroscience Institute, The University of Sheffield, Sheffield, UK
| | - Mohamed R Shoeb
- St. Anna Children's Cancer Research Institute (CCRI), Vienna, Austria
| | - Polyxeni Bozatzi
- St. Anna Children's Cancer Research Institute (CCRI), Vienna, Austria
| | - Magdalena Rados
- St. Anna Children's Cancer Research Institute (CCRI), Vienna, Austria
| | - Maria Guarini
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria
| | - Michelle C Buri
- St. Anna Children's Cancer Research Institute (CCRI), Vienna, Austria
| | - Wolfgang Weninger
- Department of Dermatology, Medical University of Vienna, Vienna, Austria
| | - Eva M Putz
- St. Anna Children's Cancer Research Institute (CCRI), Vienna, Austria
| | - Miller Huang
- Children's Hospital Los Angeles, Cancer and Blood Disease Institutes, and The Saban Research Institute, Los Angeles, CA, USA
- Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Ruth Ladenstein
- St. Anna Children's Cancer Research Institute (CCRI), Vienna, Austria
| | - Peter W Andrews
- Centre for Stem Cell Biology, School of Biosciences, The University of Sheffield, Sheffield, UK
| | - Ivana Barbaric
- Centre for Stem Cell Biology, School of Biosciences, The University of Sheffield, Sheffield, UK
- Neuroscience Institute, The University of Sheffield, Sheffield, UK
| | | | - Helen E Bryant
- Sheffield Institute for Nucleic Acids (SInFoNiA), School of Medicine and Population Health, The University of Sheffield, Sheffield, UK
| | - Martin Distel
- St. Anna Children's Cancer Research Institute (CCRI), Vienna, Austria
| | - Louis Chesler
- Division of Clinical Studies, The Institute of Cancer Research (ICR) & Royal Marsden NHS Trust, London, UK
| | | | - Matthias Farlik
- Department of Dermatology, Medical University of Vienna, Vienna, Austria
| | - Anestis Tsakiridis
- Centre for Stem Cell Biology, School of Biosciences, The University of Sheffield, Sheffield, UK.
- Neuroscience Institute, The University of Sheffield, Sheffield, UK.
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12
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Robey RW, Fitzsimmons CM, Guiblet WM, Frye WJ, Dalmasy JMG, Wang L, Russell DA, Huff LM, Perciaccante AJ, Ali-Rahmani F, Lipsey CC, Wade HM, Mitchell AV, Maligireddy SS, Terrero D, Butcher D, Edmondson EF, Jenkins LM, Nikitina T, Zhurkin VB, Tiwari AK, Piscopio AD, Totah RA, Bates SE, Arda HE, Gottesman MM, Batista PJ. The Methyltransferases METTL7A and METTL7B Confer Resistance to Thiol-Based Histone Deacetylase Inhibitors. Mol Cancer Ther 2024; 23:464-477. [PMID: 38151817 PMCID: PMC11223745 DOI: 10.1158/1535-7163.mct-23-0144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 08/25/2023] [Accepted: 12/20/2023] [Indexed: 12/29/2023]
Abstract
Histone deacetylase inhibitors (HDACi) are part of a growing class of epigenetic therapies used for the treatment of cancer. Although HDACis are effective in the treatment of T-cell lymphomas, treatment of solid tumors with this class of drugs has not been successful. Overexpression of the multidrug resistance protein P-glycoprotein (P-gp), encoded by ABCB1, is known to confer resistance to the HDACi romidepsin in vitro, yet increased ABCB1 expression has not been associated with resistance in patients, suggesting that other mechanisms of resistance arise in the clinic. To identify alternative mechanisms of resistance to romidepsin, we selected MCF-7 breast cancer cells with romidepsin in the presence of the P-gp inhibitor verapamil to reduce the likelihood of P-gp-mediated resistance. The resulting cell line, MCF-7 DpVp300, does not express P-gp and was found to be selectively resistant to romidepsin but not to other HDACis such as belinostat, panobinostat, or vorinostat. RNA-sequencing analysis revealed upregulation of the mRNA coding for the putative methyltransferase, METTL7A, whose paralog, METTL7B, was previously shown to methylate thiol groups on hydrogen sulfide and captopril. As romidepsin has a thiol as the zinc-binding moiety, we hypothesized that METTL7A could inactivate romidepsin and other thiol-based HDACis via methylation of the thiol group. We demonstrate that expression of METTL7A or METTL7B confers resistance to thiol-based HDACis and that both enzymes are capable of methylating thiol-containing HDACis. We thus propose that METTL7A and METTL7B confer resistance to thiol-based HDACis by methylating and inactivating the zinc-binding thiol.
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Affiliation(s)
- Robert W. Robey
- Laboratory of Cell Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Christina M. Fitzsimmons
- Laboratory of Cell Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Wilfried M. Guiblet
- Laboratory of Cell Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
- Present address: Advanced Biomedical Computational Science, Frederick National Laboratory for Cancer Research, Frederick, MD
| | - William J.E. Frye
- Laboratory of Cell Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - José M. González Dalmasy
- Laboratory of Cell Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Li Wang
- Laboratory of Receptor Biology and Gene Expression, Developmental Genomics Group, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Drake A. Russell
- Department of Medicinal Chemistry, University of Washington, Seattle, WA
| | - Lyn M. Huff
- Laboratory of Cell Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Andrew J. Perciaccante
- Laboratory of Cell Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Fatima Ali-Rahmani
- Laboratory of Cell Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
- Present Address: Taiho Pharmaceutical, Princeton, NJ
| | - Crystal C. Lipsey
- Laboratory of Cell Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Heidi M. Wade
- Laboratory of Cell Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Allison V. Mitchell
- Laboratory of Cell Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Siddhardha S. Maligireddy
- Laboratory of Cell Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - David Terrero
- Department of Pharmacology and Experimental Therapeutics, Department of Cancer Cell and Cancer Biology, University of Toledo, Toledo, OH
| | - Donna Butcher
- Molecular Histopathology Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Elijah F. Edmondson
- Molecular Histopathology Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Lisa M. Jenkins
- Laboratory of Cell Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Tatiana Nikitina
- Laboratory of Cell Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Victor B. Zhurkin
- Laboratory of Cell Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Amit K. Tiwari
- Department of Pharmacology and Experimental Therapeutics, Department of Cancer Cell and Cancer Biology, University of Toledo, Toledo, OH
| | | | - Rheem A. Totah
- Department of Medicinal Chemistry, University of Washington, Seattle, WA
| | - Susan E. Bates
- Division of Hematology/Oncology, Department of Medicine, Columbia University Medical Center, New York, NY and Hematology/Oncology Research Department, James J. Peters Department of Veterans Affairs Medical Center, New York, NY
| | - H. Efsun Arda
- Laboratory of Receptor Biology and Gene Expression, Developmental Genomics Group, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Michael M. Gottesman
- Laboratory of Cell Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Pedro J. Batista
- Laboratory of Cell Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
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13
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Klein DC, Lardo SM, Hainer SJ. The ncBAF Complex Regulates Transcription in AML Through H3K27ac Sensing by BRD9. CANCER RESEARCH COMMUNICATIONS 2024; 4:237-252. [PMID: 38126767 PMCID: PMC10831031 DOI: 10.1158/2767-9764.crc-23-0382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 11/02/2023] [Accepted: 12/13/2023] [Indexed: 12/23/2023]
Abstract
The non-canonical BAF complex (ncBAF) subunit BRD9 is essential for acute myeloid leukemia (AML) cell viability but has an unclear role in leukemogenesis. Because BRD9 is required for ncBAF complex assembly through its DUF3512 domain, precise bromodomain inhibition is necessary to parse the role of BRD9 as a transcriptional regulator from that of a scaffolding protein. To understand the role of BRD9 bromodomain function in regulating AML, we selected a panel of five AML cell lines with distinct driver mutations, disease classifications, and genomic aberrations and subjected these cells to short-term BRD9 bromodomain inhibition. We examined the bromodomain-dependent growth of these cell lines, identifying a dependency in AML cell lines but not HEK293T cells. To define a mechanism through which BRD9 maintains AML cell survival, we examined nascent transcription, chromatin accessibility, and ncBAF complex binding genome-wide after bromodomain inhibition. We identified extensive regulation of transcription by BRD9 bromodomain activity, including repression of myeloid maturation factors and tumor suppressor genes, while standard AML chemotherapy targets were repressed by inhibition of the BRD9 bromodomain. BRD9 bromodomain activity maintained accessible chromatin at both gene promoters and gene-distal putative enhancer regions, in a manner that qualitatively correlated with enrichment of BRD9 binding. Furthermore, we identified reduced chromatin accessibility at GATA, ETS, and AP-1 motifs and increased chromatin accessibility at SNAIL-, HIC-, and TP53-recognized motifs after BRD9 inhibition. These data suggest a role for BRD9 in regulating AML cell differentiation through modulation of accessibility at hematopoietic transcription factor binding sites. SIGNIFICANCE The bromodomain-containing protein BRD9 is essential for AML cell viability, but it is unclear whether this requirement is due to the protein's role as an epigenetic reader. We inhibited this activity and identified altered gene-distal chromatin regulation and transcription consistent with a more mature myeloid cell state.
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Affiliation(s)
- David C. Klein
- Department of Biological Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Santana M. Lardo
- Department of Biological Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Sarah J. Hainer
- Department of Biological Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania
- UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, Pennsylvania
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14
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Hamilton NH, Furey TS. ROCCO: a robust method for detection of open chromatin via convex optimization. Bioinformatics 2023; 39:btad725. [PMID: 38019944 PMCID: PMC10715771 DOI: 10.1093/bioinformatics/btad725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 11/10/2023] [Accepted: 11/28/2023] [Indexed: 12/01/2023] Open
Abstract
MOTIVATION Analysis of open chromatin regions across multiple samples from two or more distinct conditions can determine altered gene regulatory patterns associated with biological phenotypes and complex traits. The ATAC-seq assay allows for tractable genome-wide open chromatin profiling of large numbers of samples. Stable, broadly applicable genomic annotations of open chromatin regions are not available. Thus, most studies first identify open regions using peak calling methods for each sample independently. These are then heuristically combined to obtain a consensus peak set. Reconciling sample-specific peak results post hoc from larger cohorts is particularly challenging, and informative spatial features specific to open chromatin signals are not leveraged effectively. RESULTS We propose a novel method, ROCCO, that determines consensus open chromatin regions across multiple samples simultaneously. ROCCO employs robust summary statistics and solves a constrained optimization problem formulated to account for both enrichment and spatial dependence of open chromatin signal data. We show this formulation admits attractive theoretical and conceptual properties as well as superior empirical performance compared to current methodology. AVAILABILITY AND IMPLEMENTATION Source code, documentation, and usage demos for ROCCO are available on GitHub at: https://github.com/nolan-h-hamilton/ROCCO. ROCCO can also be installed as a stand-alone binary utility using pip/PyPI.
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Affiliation(s)
- Nolan H Hamilton
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Terrence S Furey
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Department of Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
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15
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Sun Z, Cernilogar FM, Horvatic H, Yeroslaviz A, Abdullah Z, Schotta G, Hornung V. β1 integrin signaling governs necroptosis via the chromatin-remodeling factor CHD4. Cell Rep 2023; 42:113322. [PMID: 37883227 DOI: 10.1016/j.celrep.2023.113322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 08/29/2023] [Accepted: 10/05/2023] [Indexed: 10/28/2023] Open
Abstract
Fibrosis, characterized by sustained activation of myofibroblasts and excessive extracellular matrix (ECM) deposition, is known to be associated with chronic inflammation. Receptor-interacting protein kinase 3 (RIPK3), the central kinase of necroptosis signaling, is upregulated in fibrosis and contributes to tumor necrosis factor (TNF)-mediated inflammation. In bile-duct-ligation-induced liver fibrosis, we found that myofibroblasts are the major cell type expressing RIPK3. Genetic ablation of β1 integrin, the major profibrotic ECM receptor in fibroblasts, not only abolished ECM fibrillogenesis but also blunted RIPK3 expression via a mechanism mediated by the chromatin-remodeling factor chromodomain helicase DNA-binding protein 4 (CHD4). While the function of CHD4 has been conventionally linked to the nucleosome-remodeling deacetylase (NuRD) and CHD4-ADNP-HP1(ChAHP) complexes, we found that CHD4 potently repressed a set of genes, including Ripk3, with high locus specificity but independent of either the NuRD or the ChAHP complex. Thus, our data uncover that β1 integrin intrinsically links fibrotic signaling to RIPK3-driven inflammation via a novel mode of action of CHD4.
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Affiliation(s)
- Zhiqi Sun
- Gene Center and Department of Biochemistry, Ludwig Maximilian University of Munich, Munich, Germany; Research Group Molecular Mechanisms of Inflammation, Max-Planck Institute of Biochemistry, Martinsried, Germany.
| | - Filippo M Cernilogar
- Division of Molecular Biology, Biomedical Center, Faculty of Medicine, Ludwig Maximilian University of Munich, Munich, Germany
| | - Helena Horvatic
- Institute of Molecular Medicine and Experimental Immunology, University Hospital Bonn, Bonn, Germany
| | - Assa Yeroslaviz
- Computational Biology Group, Max-Planck Institute of Biochemistry, Martinsried, Germany
| | - Zeinab Abdullah
- Institute of Molecular Medicine and Experimental Immunology, University Hospital Bonn, Bonn, Germany
| | - Gunnar Schotta
- Division of Molecular Biology, Biomedical Center, Faculty of Medicine, Ludwig Maximilian University of Munich, Munich, Germany
| | - Veit Hornung
- Gene Center and Department of Biochemistry, Ludwig Maximilian University of Munich, Munich, Germany; Research Group Molecular Mechanisms of Inflammation, Max-Planck Institute of Biochemistry, Martinsried, Germany.
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16
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Elovitz M, Anton L, Cristancho A, Ferguson B, Joseph A, Ravel J. Vaginal microbes alter epithelial transcriptomic and epigenomic modifications providing insight into the molecular mechanisms for susceptibility to adverse reproductive outcomes. RESEARCH SQUARE 2023:rs.3.rs-3580132. [PMID: 38014044 PMCID: PMC10680926 DOI: 10.21203/rs.3.rs-3580132/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
The cervicovaginal microbiome is highly associated with women's health with microbial communities dominated by Lactobacillus spp. being considered optimal. Conversely, a lack of lactobacilli and a high abundance of strict and facultative anaerobes including Gardnerella vaginalis , have been associated with adverse reproductive outcomes. However, the molecular pathways modulated by microbe interactions with the cervicovaginal epithelia remain unclear. Using RNA-sequencing, we characterize the in vitro cervicovaginal epithelial transcriptional response to different vaginal bacteria and their culture supernatants. We showed that G. vaginalis upregulated genes were associated with an activated innate immune response including anti-microbial peptides and inflammasome pathways, represented by NLRP3-mediated increases in caspase-1, IL-1β and cell death. Cervicovaginal epithelial cells exposed to L. crispatus showed limited transcriptomic changes, while exposure to L. crispatus culture supernatants resulted in a shift in the epigenomic landscape of cervical epithelial cells. ATAC-sequencing confirmed epigenetic changes with reduced chromatin accessibility. This study reveals new insight into host-microbe interactions in the lower reproductive tract and suggest potential therapeutic strategies leveraging the vaginal microbiome to improve reproductive health.
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17
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van der Sande M, Frölich S, Schäfers T, Smits JG, Snabel RR, Rinzema S, van Heeringen SJ. Seq2science: an end-to-end workflow for functional genomics analysis. PeerJ 2023; 11:e16380. [PMID: 38025697 PMCID: PMC10656911 DOI: 10.7717/peerj.16380] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Accepted: 10/09/2023] [Indexed: 12/01/2023] Open
Abstract
Sequencing databases contain enormous amounts of functional genomics data, making them an extensive resource for genome-scale analysis. Reanalyzing publicly available data, and integrating it with new, project-specific data sets, can be invaluable. With current technologies, genomic experiments have become feasible for virtually any species of interest. However, using and integrating this data comes with its challenges, such as standardized and reproducible analysis. Seq2science is a multi-purpose workflow that covers preprocessing, quality control, visualization, and analysis of functional genomics sequencing data. It facilitates the downloading of sequencing data from all major databases, including NCBI SRA, EBI ENA, DDBJ, GSA, and ENCODE. Furthermore, it automates the retrieval of any genome assembly available from Ensembl, NCBI, and UCSC. It has been tested on a variety of species, and includes diverse workflows such as ATAC-, RNA-, and ChIP-seq. It consists of both generic as well as advanced steps, such as differential gene expression or peak accessibility analysis and differential motif analysis. Seq2science is built on the Snakemake workflow language and thus can be run on a range of computing infrastructures. It is available at https://github.com/vanheeringen-lab/seq2science.
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Affiliation(s)
- Maarten van der Sande
- Molecular Developmental Biology, Radboud University Nijmegen, Nijmegen, the Netherlands
| | - Siebren Frölich
- Molecular Developmental Biology, Radboud University Nijmegen, Nijmegen, the Netherlands
| | - Tilman Schäfers
- Molecular Developmental Biology, Radboud University Nijmegen, Nijmegen, the Netherlands
| | - Jos G.A. Smits
- Molecular Developmental Biology, Radboud University Nijmegen, Nijmegen, the Netherlands
| | - Rebecca R. Snabel
- Molecular Developmental Biology, Radboud University Nijmegen, Nijmegen, the Netherlands
| | - Sybren Rinzema
- Molecular Developmental Biology, Radboud University Nijmegen, Nijmegen, the Netherlands
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18
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Zhu T, Zhou X, You Y, Wang L, He Z, Chen D. cisDynet: An integrated platform for modeling gene-regulatory dynamics and networks. IMETA 2023; 2:e152. [PMID: 38868212 PMCID: PMC10989917 DOI: 10.1002/imt2.152] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/28/2023] [Accepted: 11/06/2023] [Indexed: 06/14/2024]
Abstract
Chromatin accessibility sequencing has been widely used for uncovering genetic regulatory mechanisms and inferring gene regulatory networks. However, effectively integrating large-scale chromatin accessibility datasets has posed a significant challenge. This is due to the lack of a comprehensive end-to-end solution, as many existing tools primarily emphasize data preprocessing and overlook downstream analyses. To bridge this gap, we have introduced cisDynet, a holistic solution that combines streamlined data preprocessing using Snakemake and R functions with advanced downstream analysis capabilities. cisDynet excels in conventional data analyses, encompassing peak statistics, peak annotation, differential analysis, motif enrichment analysis, and more. Additionally, it allows to perform sophisticated data exploration, such as tissue-specific peak identification, time course data modeling, integration of RNA-seq data to establish peak-to-gene associations, constructing regulatory networks, and conducting enrichment analysis of genome-wide association study (GWAS) variants. As a proof of concept, we applied cisDynet to reanalyze comprehensive ATAC-seq datasets across various tissues from the Encyclopedia of DNA Elements (ENCODE) project. The analysis successfully delineated tissue-specific open chromatin regions (OCRs), established connections between OCRs and target genes, and effectively linked these discoveries with 1861 GWAS variants. Furthermore, cisDynet was instrumental in dissecting the time course open chromatin data of mouse embryonic development, revealing the dynamic behavior of OCRs over developmental stages and identifying key transcription factors governing differentiation trajectories. In summary, cisDynet offers researchers a user-friendly solution that minimizes the need for extensive coding, ensures the reproducibility of results, and greatly simplifies the exploration of epigenomic data.
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Affiliation(s)
- Tao Zhu
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life SciencesNanjing UniversityNanjingChina
| | - Xinkai Zhou
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life SciencesNanjing UniversityNanjingChina
| | - Yuxin You
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life SciencesNanjing UniversityNanjingChina
| | - Lin Wang
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life SciencesNanjing UniversityNanjingChina
| | - Zhaohui He
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life SciencesNanjing UniversityNanjingChina
| | - Dijun Chen
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life SciencesNanjing UniversityNanjingChina
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19
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Pulice JL, Meyerson M. Dosage amplification dictates oncogenic regulation by the NKX2-1 lineage factor in lung adenocarcinoma. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.26.563996. [PMID: 37994369 PMCID: PMC10664179 DOI: 10.1101/2023.10.26.563996] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/24/2023]
Abstract
Amplified oncogene expression is a critical and widespread driver event in cancer, yet our understanding of how amplification-mediated elevated dosage mediates oncogenic regulation is limited. Here, we find that the most significant focal amplification event in lung adenocarcinoma (LUAD) targets a lineage super-enhancer near the NKX2-1 lineage transcription factor. The NKX2-1 super-enhancer is targeted by focal and co-amplification with NKX2-1, and activation or repression controls NKX2-1 expression. We find that NKX2-1 is a widespread dependency in LUAD cell lines, where NKX2-1 pioneers enhancer accessibility to drive a lineage addicted state in LUAD, and NKX2-1 confers persistence to EGFR inhibitors. Notably, we find that oncogenic NKX2-1 regulation requires expression above a minimum dosage threshold-NKX2-1 dosage below this threshold is insufficient for cell viability, enhancer remodeling, and TKI persistence. Our data suggest that copy-number amplification can be a gain-of-function alteration, wherein amplification elevates oncogene expression above a critical dosage required for oncogenic regulation and cancer cell survival.
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Affiliation(s)
- John L. Pulice
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA
- Biological and Biomedical Sciences Program, Harvard University, Cambridge, MA, USA
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Matthew Meyerson
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Lead contact
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20
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Nazzari M, Romitti M, Hauser D, Carvalho DJ, Giselbrecht S, Moroni L, Costagliola S, Caiment F. Investigation of the effects of phthalates on in vitro thyroid models with RNA-Seq and ATAC-Seq. Front Endocrinol (Lausanne) 2023; 14:1200211. [PMID: 37810885 PMCID: PMC10556862 DOI: 10.3389/fendo.2023.1200211] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Accepted: 08/08/2023] [Indexed: 10/10/2023] Open
Abstract
Introduction Phthalates are a class of endocrine-disrupting chemicals that have been shown to negatively correlate with thyroid hormone serum levels in humans and to cause a state of hyperactivity in the thyroid. However, their mechanism of action is not well described at the molecular level. Methods We analyzed the response of mouse thyroid organoids to the exposure to a biologically relevant dose range of the phthalates bis(2-ethylhexyl) phthalate (DEHP), di-iso-decylphthalate (DIDP), di-iso-nonylphthalate (DINP), and di-n-octylphthalate (DnOP) for 24 h and simultaneously analyzed mRNA and miRNA expression via RNA sequencing. Using the expression data, we performed differential expression and gene set enrichment analysis. We also exposed the human thyroid follicular epithelial cell line Nthy-ori 3-1 to 1 µM of DEHP or DINP for 5 days and analyzed changes in chromatin accessibility via ATAC-Seq. Results Dose-series analysis showed how the expression of several genes increased or decreased at the highest dose tested. As expected with the low dosing scheme, the compounds induced a modest response on the transcriptome, as we identified changes in only mmu-miR-143-3p after DINP treatment and very few differentially expressed genes. No effect was observed on thyroid markers. Ing5, a component of histones H3 and H4 acetylation complexes, was consistently upregulated in three out of four conditions compared to control, and we observed a partial overlap among the genes differentially expressed by the treatments. Gene set enrichment analysis showed enrichment in the treatment samples of the fatty acid metabolism pathway and in the control of pathways related to the receptor signalling and extracellular matrix organization. ATAC-Seq analysis showed a general increase in accessibility compared to the control, however we did not identify significant changes in accessibility in the identified regions. Discussion With this work, we showed that despite having only a few differentially expressed genes, diverse analysis methods could be applied to retrieve relevant information on phthalates, showing the potential of in vitro thyroid-relevant systems for the analysis of endocrine disruptors.
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Affiliation(s)
- Marta Nazzari
- Department of Toxicogenomics, GROW School for Oncology and Reproduction, Maastricht University, Maastricht, Netherlands
| | - Mírian Romitti
- Institute of Interdisciplinary Research in Molecular Human Biology (IRIBHM), Université Libre de Bruxelles, Brussels, Belgium
| | - Duncan Hauser
- Department of Toxicogenomics, GROW School for Oncology and Reproduction, Maastricht University, Maastricht, Netherlands
| | - Daniel J. Carvalho
- Department of Instructive Biomaterials Engineering, MERLN Institute for Technology-Inspired Regenerative Medicine, Maastricht University, Maastricht, Netherlands
| | - Stefan Giselbrecht
- Department of Instructive Biomaterials Engineering, MERLN Institute for Technology-Inspired Regenerative Medicine, Maastricht University, Maastricht, Netherlands
| | - Lorenzo Moroni
- Department of Complex Tissue Regeneration, MERLN Institute for Technology-Inspired Regenerative Medicine, Maastricht University, Maastricht, Netherlands
| | - Sabine Costagliola
- Institute of Interdisciplinary Research in Molecular Human Biology (IRIBHM), Université Libre de Bruxelles, Brussels, Belgium
| | - Florian Caiment
- Department of Toxicogenomics, GROW School for Oncology and Reproduction, Maastricht University, Maastricht, Netherlands
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21
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Freeman TF, Zhao Q, Surya A, Rothe R, Cenik ES. Ribosome biogenesis disruption mediated chromatin structure changes revealed by SRAtac, a customizable end to end analysis pipeline for ATAC-seq. BMC Genomics 2023; 24:512. [PMID: 37658321 PMCID: PMC10472662 DOI: 10.1186/s12864-023-09576-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Accepted: 08/11/2023] [Indexed: 09/03/2023] Open
Abstract
The nucleolus is a large nuclear body that serves as the primary site for ribosome biogenesis. Recent studies have suggested that it also plays an important role in organizing chromatin architecture. However, to establish a causal relationship between nucleolar ribosome assembly and chromatin architecture, genetic tools are required to disrupt nucleolar ribosome biogenesis. In this study, we used ATAC-seq to investigate changes in chromatin accessibility upon specific depletion of two ribosome biogenesis components, RPOA-2 and GRWD-1, in the model organism Caenorhabditis elegans. To facilitate the analysis of ATAC-seq data, we introduced two tools: SRAlign, an extensible NGS data processing workflow, and SRAtac, a customizable end-to-end ATAC-seq analysis pipeline. Our results revealed highly comparable changes in chromatin accessibility following both RPOA-2 and GRWD-1 perturbations. However, we observed a weak correlation between changes in chromatin accessibility and gene expression. While our findings corroborate the idea of a feedback mechanism between ribosomal RNA synthesis, nucleolar ribosome large subunit biogenesis, and chromatin structure during the L1 stage of C. elegans development, they also prompt questions regarding the functional impact of these alterations on gene expression.
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Affiliation(s)
- Trevor F Freeman
- Department of Molecular Biosciences, University of Texas, Austin, TX, 78712, USA
| | - Qiuxia Zhao
- Department of Molecular Biosciences, University of Texas, Austin, TX, 78712, USA
| | - Agustian Surya
- Department of Molecular Biosciences, University of Texas, Austin, TX, 78712, USA
| | - Reed Rothe
- Department of Molecular Biosciences, University of Texas, Austin, TX, 78712, USA
| | - Elif Sarinay Cenik
- Department of Molecular Biosciences, University of Texas, Austin, TX, 78712, USA.
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22
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Favaro P, Glass DR, Borges L, Baskar R, Reynolds W, Ho D, Bruce T, Tebaykin D, Scanlon VM, Shestopalov I, Bendall SC. Unravelling human hematopoietic progenitor cell diversity through association with intrinsic regulatory factors. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.08.30.555623. [PMID: 37693547 PMCID: PMC10491219 DOI: 10.1101/2023.08.30.555623] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/12/2023]
Abstract
Hematopoietic stem and progenitor cell (HSPC) transplantation is an essential therapy for hematological conditions, but finer definitions of human HSPC subsets with associated function could enable better tuning of grafts and more routine, lower-risk application. To deeply phenotype HSPCs, following a screen of 328 antigens, we quantified 41 surface proteins and functional regulators on millions of CD34+ and CD34- cells, spanning four primary human hematopoietic tissues: bone marrow, mobilized peripheral blood, cord blood, and fetal liver. We propose more granular definitions of HSPC subsets and provide new, detailed differentiation trajectories of erythroid and myeloid lineages. These aspects of our revised human hematopoietic model were validated with corresponding epigenetic analysis and in vitro clonal differentiation assays. Overall, we demonstrate the utility of using molecular regulators as surrogates for cellular identity and functional potential, providing a framework for description, prospective isolation, and cross-tissue comparison of HSPCs in humans.
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Affiliation(s)
- Patricia Favaro
- Department of Pathology, Stanford University
- These authors contributed equally
| | - David R. Glass
- Department of Pathology, Stanford University
- Immunology Graduate Program, Stanford University
- Present address: Vaccine and Infectious Diseases Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
- These authors contributed equally
| | - Luciene Borges
- Department of Pathology, Stanford University
- Present address: Boehringer Ingelheim Pharmaceuticals, Inc., Ridgefield, CT, USA
- These authors contributed equally
| | - Reema Baskar
- Department of Pathology, Stanford University
- Present address: Genome Institute of Singapore
| | | | - Daniel Ho
- Department of Pathology, Stanford University
| | | | | | - Vanessa M. Scanlon
- Department of Laboratory Medicine, Yale School of Medicine
- Present address: Center for Regenerative Medicine and Skeletal Biology, University of Connecticut Health
| | | | - Sean C. Bendall
- Department of Pathology, Stanford University
- Immunology Graduate Program, Stanford University
- Lead author
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23
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Klein DC, Lardo SM, McCannell KN, Hainer SJ. FACT regulates pluripotency through proximal and distal regulation of gene expression in murine embryonic stem cells. BMC Biol 2023; 21:167. [PMID: 37542287 PMCID: PMC10403911 DOI: 10.1186/s12915-023-01669-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 07/26/2023] [Indexed: 08/06/2023] Open
Abstract
BACKGROUND The FACT complex is a conserved histone chaperone with critical roles in transcription and histone deposition. FACT is essential in pluripotent and cancer cells, but otherwise dispensable for most mammalian cell types. FACT deletion or inhibition can block induction of pluripotent stem cells, yet the mechanism through which FACT regulates cell fate decisions remains unclear. RESULTS To explore the mechanism for FACT function, we generated AID-tagged murine embryonic cell lines for FACT subunit SPT16 and paired depletion with nascent transcription and chromatin accessibility analyses. We also analyzed SPT16 occupancy using CUT&RUN and found that SPT16 localizes to both promoter and enhancer elements, with a strong overlap in binding with OCT4, SOX2, and NANOG. Over a timecourse of SPT16 depletion, nucleosomes invade new loci, including promoters, regions bound by SPT16, OCT4, SOX2, and NANOG, and TSS-distal DNaseI hypersensitive sites. Simultaneously, transcription of Pou5f1 (encoding OCT4), Sox2, Nanog, and enhancer RNAs produced from these genes' associated enhancers are downregulated. CONCLUSIONS We propose that FACT maintains cellular pluripotency through a precise nucleosome-based regulatory mechanism for appropriate expression of both coding and non-coding transcripts associated with pluripotency.
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Affiliation(s)
- David C Klein
- Department of Biological Sciences, University of Pittsburgh, Pittsburgh, PA, 15213, USA
| | - Santana M Lardo
- Department of Biological Sciences, University of Pittsburgh, Pittsburgh, PA, 15213, USA
| | - Kurtis N McCannell
- Department of Biology and Epigenetics Institute, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Sarah J Hainer
- Department of Biological Sciences, University of Pittsburgh, Pittsburgh, PA, 15213, USA.
- UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA.
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24
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Yang Y, Gomez N, Infarinato N, Adam RC, Sribour M, Baek I, Laurin M, Fuchs E. The pioneer factor SOX9 competes for epigenetic factors to switch stem cell fates. Nat Cell Biol 2023; 25:1185-1195. [PMID: 37488435 PMCID: PMC10415178 DOI: 10.1038/s41556-023-01184-y] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2023] [Accepted: 06/08/2023] [Indexed: 07/26/2023]
Abstract
During development, progenitors simultaneously activate one lineage while silencing another, a feature highly regulated in adult stem cells but derailed in cancers. Equipped to bind cognate motifs in closed chromatin, pioneer factors operate at these crossroads, but how they perform fate switching remains elusive. Here we tackle this question with SOX9, a master regulator that diverts embryonic epidermal stem cells (EpdSCs) into becoming hair follicle stem cells. By engineering mice to re-activate SOX9 in adult EpdSCs, we trigger fate switching. Combining epigenetic, proteomic and functional analyses, we interrogate the ensuing chromatin and transcriptional dynamics, slowed temporally by the mature EpdSC niche microenvironment. We show that as SOX9 binds and opens key hair follicle enhancers de novo in EpdSCs, it simultaneously recruits co-factors away from epidermal enhancers, which are silenced. Unhinged from its normal regulation, sustained SOX9 subsequently activates oncogenic transcriptional regulators that chart the path to cancers typified by constitutive SOX9 expression.
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Affiliation(s)
- Yihao Yang
- Howard Hughes Medical Institute, Robin Chemers Neustein Laboratory of Mammalian Cell Biology and Development, The Rockefeller University, New York, NY, USA
| | - Nicholas Gomez
- Howard Hughes Medical Institute, Robin Chemers Neustein Laboratory of Mammalian Cell Biology and Development, The Rockefeller University, New York, NY, USA
- Allen Institute for Cell Sciences, Seattle, WA, USA
| | - Nicole Infarinato
- Howard Hughes Medical Institute, Robin Chemers Neustein Laboratory of Mammalian Cell Biology and Development, The Rockefeller University, New York, NY, USA
- PRECISIONscientia, Yardley, PA, USA
| | - Rene C Adam
- Howard Hughes Medical Institute, Robin Chemers Neustein Laboratory of Mammalian Cell Biology and Development, The Rockefeller University, New York, NY, USA
- Regeneron Pharmaceuticals, Tarrytown, NY, USA
| | - Megan Sribour
- Howard Hughes Medical Institute, Robin Chemers Neustein Laboratory of Mammalian Cell Biology and Development, The Rockefeller University, New York, NY, USA
| | - Inwha Baek
- Howard Hughes Medical Institute, Robin Chemers Neustein Laboratory of Mammalian Cell Biology and Development, The Rockefeller University, New York, NY, USA
- Kyung Hee University, Seoul, South Korea
| | - Mélanie Laurin
- Howard Hughes Medical Institute, Robin Chemers Neustein Laboratory of Mammalian Cell Biology and Development, The Rockefeller University, New York, NY, USA
- CHU de Québec-Université Laval Research Center, Quebec City, Quebec, Canada
| | - Elaine Fuchs
- Howard Hughes Medical Institute, Robin Chemers Neustein Laboratory of Mammalian Cell Biology and Development, The Rockefeller University, New York, NY, USA.
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25
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Wolpe JB, Martins AL, Guertin MJ. Correction of transposase sequence bias in ATAC-seq data with rule ensemble modeling. NAR Genom Bioinform 2023; 5:lqad054. [PMID: 37274120 PMCID: PMC10236359 DOI: 10.1093/nargab/lqad054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 04/02/2023] [Accepted: 05/19/2023] [Indexed: 06/06/2023] Open
Abstract
Chromatin accessibility assays have revolutionized the field of transcription regulation by providing single-nucleotide resolution measurements of regulatory features such as promoters and transcription factor binding sites. ATAC-seq directly measures how well the Tn5 transposase accesses chromatinized DNA. Tn5 has a complex sequence bias that is not effectively scaled with traditional bias-correction methods. We model this complex bias using a rule ensemble machine learning approach that integrates information from many input k-mers proximal to the ATAC sequence reads. We effectively characterize and correct single-nucleotide sequence biases and regional sequence biases of the Tn5 enzyme. Correction of enzymatic sequence bias is an important step in interpreting chromatin accessibility assays that aim to infer transcription factor binding and regulatory activity of elements in the genome.
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Affiliation(s)
- Jacob B Wolpe
- Department of Biochemistry and Molecular Genetics, University of Virginia, Charlottesville, VA, USA
| | - André L Martins
- Center for Cell Analysis and Modeling, University of Connecticut, Farmington, CT, USA
- Department of Genetics and Genome Sciences, University of Connecticut, Farmington, CT, USA
| | - Michael J Guertin
- Center for Cell Analysis and Modeling, University of Connecticut, Farmington, CT, USA
- Department of Genetics and Genome Sciences, University of Connecticut, Farmington, CT, USA
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26
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Nash MJ, Dobrinskikh E, Soderborg TK, Janssen RC, Takahashi DL, Dean TA, Varlamov O, Hennebold JD, Gannon M, Aagaard KM, McCurdy CE, Kievit P, Bergman BC, Jones KL, Pietras EM, Wesolowski SR, Friedman JE. Maternal diet alters long-term innate immune cell memory in fetal and juvenile hematopoietic stem and progenitor cells in nonhuman primate offspring. Cell Rep 2023; 42:112393. [PMID: 37058409 PMCID: PMC10570400 DOI: 10.1016/j.celrep.2023.112393] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 01/30/2023] [Accepted: 03/30/2023] [Indexed: 04/15/2023] Open
Abstract
Maternal overnutrition increases inflammatory and metabolic disease risk in postnatal offspring. This constitutes a major public health concern due to increasing prevalence of these diseases, yet mechanisms remain unclear. Here, using nonhuman primate models, we show that maternal Western-style diet (mWSD) exposure is associated with persistent pro-inflammatory phenotypes at the transcriptional, metabolic, and functional levels in bone marrow-derived macrophages (BMDMs) from 3-year-old juvenile offspring and in hematopoietic stem and progenitor cells (HSPCs) from fetal and juvenile bone marrow and fetal liver. mWSD exposure is also associated with increased oleic acid in fetal and juvenile bone marrow and fetal liver. Assay for transposase-accessible chromatin with sequencing (ATAC-seq) profiling of HSPCs and BMDMs from mWSD-exposed juveniles supports a model in which HSPCs transmit pro-inflammatory memory to myeloid cells beginning in utero. These findings show that maternal diet alters long-term immune cell developmental programming in HSPCs with proposed consequences for chronic diseases featuring altered immune/inflammatory activation across the lifespan.
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Affiliation(s)
- Michael J Nash
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Evgenia Dobrinskikh
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Taylor K Soderborg
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Rachel C Janssen
- Harold Hamm Diabetes Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA
| | - Diana L Takahashi
- Division of Cardiometabolic Health, Oregon National Primate Research Center, Oregon Health & Science University, Beaverton, OR 97006, USA
| | - Tyler A Dean
- Division of Cardiometabolic Health, Oregon National Primate Research Center, Oregon Health & Science University, Beaverton, OR 97006, USA
| | - Oleg Varlamov
- Division of Cardiometabolic Health, Oregon National Primate Research Center, Oregon Health & Science University, Beaverton, OR 97006, USA
| | - Jon D Hennebold
- Division of Reproductive and Developmental Sciences, Oregon National Primate Research Center, Oregon Health & Science University, Beaverton, OR 97006, USA
| | - Maureen Gannon
- Department of Medicine, Division of Diabetes, Endocrinology, and Metabolism, Vanderbilt University Medical Center, Nashville, TN 37235, USA
| | - Kjersti M Aagaard
- Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, Baylor College of Medicine, Houston, TX 77030, USA
| | - Carrie E McCurdy
- Department of Human Physiology, University of Oregon, Eugene, OR 97403, USA
| | - Paul Kievit
- Division of Cardiometabolic Health, Oregon National Primate Research Center, Oregon Health & Science University, Beaverton, OR 97006, USA
| | - Bryan C Bergman
- Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Kenneth L Jones
- Department of Physiology, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA
| | - Eric M Pietras
- Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Stephanie R Wesolowski
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Jacob E Friedman
- Harold Hamm Diabetes Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA; Department of Physiology, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA.
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27
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Luo Q, Pui HP, Chen J, Yu L, Jannig PR, Pei Y, Zhao L, Chen X, Petropoulos S, Ruas JL, Wu J, Deng Q. Epiblast-like stem cells established by Wnt/β-catenin signaling manifest distinct features of formative pluripotency and germline competence. Cell Rep 2023; 42:112021. [PMID: 36848234 PMCID: PMC10026833 DOI: 10.1016/j.celrep.2023.112021] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 12/05/2022] [Accepted: 01/06/2023] [Indexed: 01/25/2023] Open
Abstract
Different formative pluripotent stem cells harboring similar functional properties have been recently established to be lineage neutral and germline competent yet have distinct molecular identities. Here, we show that WNT/β-catenin signaling activation sustains transient mouse epiblast-like cells as epiblast-like stem cells (EpiLSCs). EpiLSCs display metastable formative pluripotency with bivalent cellular energy metabolism and unique transcriptomic features and chromatin accessibility. We develop single-cell stage label transfer (scSTALT) to study the formative pluripotency continuum and reveal that EpiLSCs recapitulate a unique developmental period in vivo, filling the gap of the formative pluripotency continuum between other published formative stem cells. WNT/β-catenin signaling activation counteracts differentiation effects of activin A and bFGF by preventing complete dissolution of naive pluripotency regulatory network. Moreover, EpiLSCs have direct competence toward germline specification, which is further matured by an FGF receptor inhibitor. Our EpiLSCs can serve as an in vitro model for mimicking and studying early post-implantation development and pluripotency transition.
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Affiliation(s)
- Qing Luo
- Department of Physiology and Pharmacology, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Han-Pin Pui
- Department of Physiology and Pharmacology, Karolinska Institutet, 171 77 Stockholm, Sweden; Center for Molecular Medicine, Karolinska University Hospital, 171 77 Stockholm, Sweden; Division of Obstetrics and Gynecology, Department of Clinical Science, Intervention and Technology, Karolinska Institutet and Karolinska University Hospital, 141 52 Huddinge, Sweden
| | - Jiayu Chen
- Clinical and Translation Research Center of Shanghai First Maternity & Infant Hospital, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai 20092, China; Frontier Science Center for Stem Cell Research, Tongji University, Shanghai 20092, China
| | - Leqian Yu
- Department of Molecular Biology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA; Hamon Center for Regenerative Science and Medicine, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Paulo R Jannig
- Department of Physiology and Pharmacology, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Yu Pei
- Department of Physiology and Pharmacology, Karolinska Institutet, 171 77 Stockholm, Sweden; Center for Molecular Medicine, Karolinska University Hospital, 171 77 Stockholm, Sweden
| | - Linxuan Zhao
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, 751 85 Uppsala, Sweden
| | - Xingqi Chen
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, 751 85 Uppsala, Sweden
| | - Sophie Petropoulos
- Division of Obstetrics and Gynecology, Department of Clinical Science, Intervention and Technology, Karolinska Institutet and Karolinska University Hospital, 141 52 Huddinge, Sweden; Department of Medicine, Centre de recherche du CHUM, University of Montreal, Montreal, QC H2X 0A9, Canada
| | - Jorge L Ruas
- Department of Physiology and Pharmacology, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Jun Wu
- Department of Molecular Biology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA; Hamon Center for Regenerative Science and Medicine, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA; Cecil H. and Ida Green Center for Reproductive Biology Sciences, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Qiaolin Deng
- Department of Physiology and Pharmacology, Karolinska Institutet, 171 77 Stockholm, Sweden; Center for Molecular Medicine, Karolinska University Hospital, 171 77 Stockholm, Sweden.
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28
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Robbe P, Ridout KE, Vavoulis DV, Dréau H, Kinnersley B, Denny N, Chubb D, Appleby N, Cutts A, Cornish AJ, Lopez-Pascua L, Clifford R, Burns A, Stamatopoulos B, Cabes M, Alsolami R, Antoniou P, Oates M, Cavalieri D, Gibson J, Prabhu AV, Schwessinger R, Jennings D, James T, Maheswari U, Duran-Ferrer M, Carninci P, Knight SJL, Månsson R, Hughes J, Davies J, Ross M, Bentley D, Strefford JC, Devereux S, Pettitt AR, Hillmen P, Caulfield MJ, Houlston RS, Martín-Subero JI, Schuh A. Whole-genome sequencing of chronic lymphocytic leukemia identifies subgroups with distinct biological and clinical features. Nat Genet 2022; 54:1675-1689. [PMID: 36333502 PMCID: PMC9649442 DOI: 10.1038/s41588-022-01211-y] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Accepted: 09/16/2022] [Indexed: 11/06/2022]
Abstract
The value of genome-wide over targeted driver analyses for predicting clinical outcomes of cancer patients is debated. Here, we report the whole-genome sequencing of 485 chronic lymphocytic leukemia patients enrolled in clinical trials as part of the United Kingdom's 100,000 Genomes Project. We identify an extended catalog of recurrent coding and noncoding genetic mutations that represents a source for future studies and provide the most complete high-resolution map of structural variants, copy number changes and global genome features including telomere length, mutational signatures and genomic complexity. We demonstrate the relationship of these features with clinical outcome and show that integration of 186 distinct recurrent genomic alterations defines five genomic subgroups that associate with response to therapy, refining conventional outcome prediction. While requiring independent validation, our findings highlight the potential of whole-genome sequencing to inform future risk stratification in chronic lymphocytic leukemia.
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Affiliation(s)
- Pauline Robbe
- Department of Oncology, University of Oxford, Oxford, UK
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Kate E Ridout
- Department of Oncology, University of Oxford, Oxford, UK
| | | | - Helene Dréau
- Department of Oncology, University of Oxford, Oxford, UK
| | - Ben Kinnersley
- Division of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, UK
| | - Nicholas Denny
- Department of Medicine, Medical Research Council Molecular Haematology Unit, Medical Research Council Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Daniel Chubb
- Division of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, UK
| | - Niamh Appleby
- Department of Oncology, University of Oxford, Oxford, UK
| | - Anthony Cutts
- Department of Oncology, University of Oxford, Oxford, UK
| | - Alex J Cornish
- Division of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, UK
| | | | - Ruth Clifford
- Department of Haematology, University Hospital Limerick, Limerick, Ireland
- Limerick Digital Cancer Research Centre, School of Medicine,University of Limerick, Limerick, Ireland
| | - Adam Burns
- Department of Oncology, University of Oxford, Oxford, UK
| | - Basile Stamatopoulos
- Laboratory of Clinical Cell Therapy, Jules Bordet Institute, ULB Cancer Research Center (U-CRC)- Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Maite Cabes
- Oxford Molecular Diagnostics Centre, John Radcliffe Hospital, Oxford University Hospitals NHS Trust, Oxford, UK
| | - Reem Alsolami
- Department of Medical Laboratory Technology, King Abdulaziz University, Jeddah, Saudi Arabia
| | | | | | - Doriane Cavalieri
- Department of Haematology, CHU de Clermont-Ferrand, Clermont-Ferrand, France
| | - Jane Gibson
- Cancer Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Anika V Prabhu
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Ron Schwessinger
- Department of Medicine, Medical Research Council Molecular Haematology Unit, Medical Research Council Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Daisy Jennings
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | | | | | - Martí Duran-Ferrer
- Biomedical Epigenomics Group, Institut d'Investigacions Biomédiques August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - Piero Carninci
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Human Technopole, Milan, Italy
| | - Samantha J L Knight
- Oxford University Clinical Academic Graduate School, University of Oxford Medical Sciences Division, University of Oxford, John Radcliffe Hospital, Oxford, UK
| | - Robert Månsson
- Center for Hematology and Regenerative Medicine Huddinge, Karolinska Institute, Stockholm, Sweden
| | - Jim Hughes
- Department of Medicine, Medical Research Council Molecular Haematology Unit, Medical Research Council Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - James Davies
- Department of Medicine, Medical Research Council Molecular Haematology Unit, Medical Research Council Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Mark Ross
- Illumina Cambridge Ltd., Cambridge, UK
| | | | - Jonathan C Strefford
- Cancer Genomics, Cancer Sciences, Faculty of Medicine, Group University of Southampton, Southampton, UK
| | - Stephen Devereux
- King's College Hospital, NHS Foundation Trust, London, UK
- Kings College London, London, UK
| | - Andrew R Pettitt
- Department of Molecular and Clinical Cancer Medicine, University of Liverpool, Liverpool, UK
- Clatterbridge Cancer Centre NHS Foundation Trust, Liverpool, UK
| | | | - Mark J Caulfield
- Genomics England, London, UK
- William Harvey Research Institute, Queen Mary University of London, London, UK
| | - Richard S Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, UK
| | - José I Martín-Subero
- Human Technopole, Milan, Italy
- Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
| | - Anna Schuh
- Department of Oncology, University of Oxford, Oxford, UK.
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29
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Duvall E, Benitez CM, Tellez K, Enge M, Pauerstein PT, Li L, Baek S, Quake SR, Smith JP, Sheffield NC, Kim SK, Arda HE. Single-cell transcriptome and accessible chromatin dynamics during endocrine pancreas development. Proc Natl Acad Sci U S A 2022; 119:e2201267119. [PMID: 35733248 PMCID: PMC9245718 DOI: 10.1073/pnas.2201267119] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2022] [Accepted: 05/10/2022] [Indexed: 12/24/2022] Open
Abstract
Delineating gene regulatory networks that orchestrate cell-type specification is a continuing challenge for developmental biologists. Single-cell analyses offer opportunities to address these challenges and accelerate discovery of rare cell lineage relationships and mechanisms underlying hierarchical lineage decisions. Here, we describe the molecular analysis of mouse pancreatic endocrine cell differentiation using single-cell transcriptomics, chromatin accessibility assays coupled to genetic labeling, and cytometry-based cell purification. We uncover transcription factor networks that delineate β-, α-, and δ-cell lineages. Through genomic footprint analysis, we identify transcription factor-regulatory DNA interactions governing pancreatic cell development at unprecedented resolution. Our analysis suggests that the transcription factor Neurog3 may act as a pioneer transcription factor to specify the pancreatic endocrine lineage. These findings could improve protocols to generate replacement endocrine cells from renewable sources, like stem cells, for diabetes therapy.
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Affiliation(s)
- Eliza Duvall
- Laboratory of Receptor Biology and Gene Expression, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD 20892
| | - Cecil M. Benitez
- Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA 94305
| | - Krissie Tellez
- Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA 94305
| | - Martin Enge
- Department of Bioengineering and Applied Physics, Stanford University, Stanford, CA 94305
| | - Philip T. Pauerstein
- Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA 94305
| | - Lingyu Li
- Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA 94305
| | - Songjoon Baek
- Laboratory of Receptor Biology and Gene Expression, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD 20892
| | - Stephen R. Quake
- Department of Bioengineering and Applied Physics, Stanford University, Stanford, CA 94305
- Chan Zuckerberg Biohub, San Francisco, CA 94158
| | - Jason P. Smith
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22908
| | - Nathan C. Sheffield
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22908
| | - Seung K. Kim
- Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA 94305
- Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305
- Stanford Diabetes Research Center, Stanford University School of Medicine, Stanford, CA 94305
| | - H. Efsun Arda
- Laboratory of Receptor Biology and Gene Expression, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD 20892
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30
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Grandi FC, Modi H, Kampman L, Corces MR. Chromatin accessibility profiling by ATAC-seq. Nat Protoc 2022; 17:1518-1552. [PMID: 35478247 PMCID: PMC9189070 DOI: 10.1038/s41596-022-00692-9] [Citation(s) in RCA: 119] [Impact Index Per Article: 59.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Accepted: 02/22/2022] [Indexed: 12/13/2022]
Abstract
The assay for transposase-accessible chromatin using sequencing (ATAC-seq) provides a simple and scalable way to detect the unique chromatin landscape associated with a cell type and how it may be altered by perturbation or disease. ATAC-seq requires a relatively small number of input cells and does not require a priori knowledge of the epigenetic marks or transcription factors governing the dynamics of the system. Here we describe an updated and optimized protocol for ATAC-seq, called Omni-ATAC, that is applicable across a broad range of cell and tissue types. The ATAC-seq workflow has five main steps: sample preparation, transposition, library preparation, sequencing and data analysis. This protocol details the steps to generate and sequence ATAC-seq libraries, with recommendations for sample preparation and downstream bioinformatic analysis. ATAC-seq libraries for roughly 12 samples can be generated in 10 h by someone familiar with basic molecular biology, and downstream sequencing analysis can be implemented using benchmarked pipelines by someone with basic bioinformatics skills and with access to a high-performance computing environment.
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Affiliation(s)
- Fiorella C Grandi
- Gladstone Institute of Neurological Disease, San Francisco, CA, USA
- Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA
- Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Hailey Modi
- Gladstone Institute of Neurological Disease, San Francisco, CA, USA
- Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA
- Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Lucas Kampman
- Gladstone Institute of Neurological Disease, San Francisco, CA, USA
- Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA
- Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - M Ryan Corces
- Gladstone Institute of Neurological Disease, San Francisco, CA, USA.
- Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA.
- Department of Neurology, University of California San Francisco, San Francisco, CA, USA.
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31
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Hunter AL, Poolman TM, Kim D, Gonzalez FJ, Bechtold DA, Loudon ASI, Iqbal M, Ray DW. HNF4A modulates glucocorticoid action in the liver. Cell Rep 2022; 39:110697. [PMID: 35443180 PMCID: PMC9380254 DOI: 10.1016/j.celrep.2022.110697] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Revised: 01/24/2022] [Accepted: 03/29/2022] [Indexed: 12/13/2022] Open
Abstract
The glucocorticoid receptor (GR) is a nuclear receptor critical to the regulation of energy metabolism and inflammation. The actions of GR are dependent on cell type and context. Here, we demonstrate the role of liver lineage-determining factor hepatocyte nuclear factor 4A (HNF4A) in defining liver specificity of GR action. In mouse liver, the HNF4A motif lies adjacent to the glucocorticoid response element (GRE) at GR binding sites within regions of open chromatin. In the absence of HNF4A, the liver GR cistrome is remodeled, with loss and gain of GR recruitment evident. Loss of chromatin accessibility at HNF4A-marked sites associates with loss of GR binding at weak GRE motifs. GR binding and chromatin accessibility are gained at sites characterized by strong GRE motifs, which show GR recruitment in non-liver tissues. The functional importance of these HNF4A-regulated GR sites is indicated by an altered transcriptional response to glucocorticoid treatment in the Hnf4a-null liver.
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Affiliation(s)
- A Louise Hunter
- Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PT, UK
| | - Toryn M Poolman
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford OX3 7LE, UK
| | - Donghwan Kim
- Laboratory of Metabolism, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Frank J Gonzalez
- Laboratory of Metabolism, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - David A Bechtold
- Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PT, UK
| | - Andrew S I Loudon
- Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PT, UK
| | - Mudassar Iqbal
- Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PT, UK
| | - David W Ray
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford OX3 7LE, UK; NIHR Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford OX3 9DU, UK.
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32
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Hoffner O’Connor M, Berglind A, Kennedy Ng MM, Keith BP, Lynch ZJ, Schaner MR, Steinbach EC, Herzog J, Trad OK, Jeck WR, Arthur JC, Simon JM, Sartor RB, Furey TS, Sheikh SZ. BET Protein Inhibition Regulates Macrophage Chromatin Accessibility and Microbiota-Dependent Colitis. Front Immunol 2022; 13:856966. [PMID: 35401533 PMCID: PMC8988134 DOI: 10.3389/fimmu.2022.856966] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Accepted: 02/16/2022] [Indexed: 01/14/2023] Open
Abstract
Introduction In colitis, macrophage functionality is altered compared to normal homeostatic conditions. Loss of IL-10 signaling results in an inappropriate chronic inflammatory response to bacterial stimulation. It remains unknown if inhibition of bromodomain and extra-terminal domain (BET) proteins alters usage of DNA regulatory elements responsible for driving inflammatory gene expression. We determined if the BET inhibitor, (+)-JQ1, could suppress inflammatory activation of macrophages in Il10-/- mice. Methods We performed ATAC-seq and RNA-seq on Il10-/- bone marrow-derived macrophages (BMDMs) cultured in the presence and absence of lipopolysaccharide (LPS) with and without treatment with (+)-JQ1 and evaluated changes in chromatin accessibility and gene expression. Germ-free Il10-/- mice were treated with (+)-JQ1, colonized with fecal slurries and underwent histological and molecular evaluation 14-days post colonization. Results Treatment with (+)-JQ1 suppressed LPS-induced changes in chromatin at distal regulatory elements associated with inflammatory genes, particularly in regions that contain motifs for AP-1 and IRF transcription factors. This resulted in attenuation of inflammatory gene expression. Treatment with (+)-JQ1 in vivo resulted in a mild reduction in colitis severity as compared with vehicle-treated mice. Conclusion We identified the mechanism of action associated with a new class of compounds that may mitigate aberrant macrophage responses to bacteria in colitis.
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Affiliation(s)
- Michelle Hoffner O’Connor
- Center for Gastrointestinal Biology and Disease, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Department of Genetics, Curriculum in Genetics and Molecular Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Ana Berglind
- Center for Gastrointestinal Biology and Disease, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Department of Genetics, Curriculum in Genetics and Molecular Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Meaghan M. Kennedy Ng
- Center for Gastrointestinal Biology and Disease, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Department of Genetics, Curriculum in Bioinformatics and Computational Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Benjamin P. Keith
- Center for Gastrointestinal Biology and Disease, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Department of Genetics, Curriculum in Bioinformatics and Computational Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Zachary J. Lynch
- Center for Gastrointestinal Biology and Disease, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Matthew R. Schaner
- Center for Gastrointestinal Biology and Disease, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Erin C. Steinbach
- Center for Gastrointestinal Biology and Disease, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Department of Medicine, Division of Rheumatology, Allergy, and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Jeremy Herzog
- Center for Gastrointestinal Biology and Disease, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Omar K. Trad
- Center for Gastrointestinal Biology and Disease, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - William R. Jeck
- Department of Pathology, Duke University, Durham, NC, United States
| | - Janelle C. Arthur
- Center for Gastrointestinal Biology and Disease, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Department of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Jeremy M. Simon
- Department of Genetics, Curriculum in Bioinformatics and Computational Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- UNC Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Carolina Institute for Disabilities, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - R. Balfour Sartor
- Center for Gastrointestinal Biology and Disease, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Terrence S. Furey
- Center for Gastrointestinal Biology and Disease, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Department of Genetics, Curriculum in Bioinformatics and Computational Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Department of Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Shehzad Z. Sheikh
- Center for Gastrointestinal Biology and Disease, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Department of Genetics, Curriculum in Genetics and Molecular Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
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33
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Sheffield NC, Stolarczyk M, Reuter VP, Rendeiro AF. Linking big biomedical datasets to modular analysis with Portable Encapsulated Projects. Gigascience 2021; 10:6454632. [PMID: 34890448 PMCID: PMC8673555 DOI: 10.1093/gigascience/giab077] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Revised: 04/20/2021] [Accepted: 11/04/2021] [Indexed: 12/26/2022] Open
Abstract
Background Organizing and annotating biological sample data is critical in data-intensive bioinformatics. Unfortunately, metadata formats from a data provider are often incompatible with requirements of a processing tool. There is no broadly accepted standard to organize metadata across biological projects and bioinformatics tools, restricting the portability and reusability of both annotated datasets and analysis software. Results To address this, we present the Portable Encapsulated Project (PEP) specification, a formal specification for biological sample metadata structure. The PEP specification accommodates typical features of data-intensive bioinformatics projects with many biological samples. In addition to standardization, the PEP specification provides descriptors and modifiers for project-level and sample-level metadata, which improve portability across both computing environments and data processing tools. PEPs include a schema validator framework, allowing formal definition of required metadata attributes for data analysis broadly. We have implemented packages for reading PEPs in both Python and R to provide a language-agnostic interface for organizing project metadata. Conclusions The PEP specification is an important step toward unifying data annotation and processing tools in data-intensive biological research projects. Links to tools and documentation are available at http://pep.databio.org/.
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Affiliation(s)
- Nathan C Sheffield
- Center for Public Health Genomics, University of Virginia, VA 22908, USA.,Department of Public Health Sciences, University of Virginia, VA 22908, USA.,Department of Biomedical Engineering, University of Virginia, VA 22908, USA.,Department of Biochemistry and Molecular Genetics, University of Virginia, VA 22908, USA
| | - Michał Stolarczyk
- Center for Public Health Genomics, University of Virginia, VA 22908, USA
| | - Vincent P Reuter
- Center for Public Health Genomics, University of Virginia, VA 22908, USA.,Genomics and Computational Biology Graduate Group, University of Pennsylvania, PA 19087, USA
| | - André F Rendeiro
- Institute for Computational Biomedicine, Weill Cornell Medical College, NY 10021, USA.,Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medical College, NY 10021, USA
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