1
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Schiroli G, Kartha V, Duarte FM, Kristiansen TA, Mayerhofer C, Shrestha R, Earl A, Hu Y, Tay T, Rhee C, Buenrostro JD, Scadden DT. Cell of origin epigenetic priming determines susceptibility to Tet2 mutation. Nat Commun 2024; 15:4325. [PMID: 38773071 PMCID: PMC11109152 DOI: 10.1038/s41467-024-48508-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2023] [Accepted: 04/30/2024] [Indexed: 05/23/2024] Open
Abstract
Hematopoietic stem cell (HSC) mutations can result in clonal hematopoiesis (CH) with heterogeneous clinical outcomes. Here, we investigate how the cell state preceding Tet2 mutation impacts the pre-malignant phenotype. Using an inducible system for clonal analysis of myeloid progenitors, we find that the epigenetic features of clones at similar differentiation status are highly heterogeneous and functionally respond differently to Tet2 mutation. Cell differentiation stage also influences Tet2 mutation response indicating that the cell of origin's epigenome modulates clone-specific behaviors in CH. Molecular features associated with higher risk outcomes include Sox4 that sensitizes cells to Tet2 inactivation, inducing dedifferentiation, altered metabolism and increasing the in vivo clonal output of mutant cells, as confirmed in primary GMP and HSC models. Our findings validate the hypothesis that epigenetic features can predispose specific clones for dominance, explaining why identical genetic mutations can result in different phenotypes.
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Affiliation(s)
- Giulia Schiroli
- Center for Regenerative Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138, USA
- Harvard Stem Cell Institute, Cambridge, MA, 02138, USA
| | - Vinay Kartha
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138, USA
- Harvard Stem Cell Institute, Cambridge, MA, 02138, USA
- Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Fabiana M Duarte
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138, USA
- Harvard Stem Cell Institute, Cambridge, MA, 02138, USA
- Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Trine A Kristiansen
- Center for Regenerative Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138, USA
- Harvard Stem Cell Institute, Cambridge, MA, 02138, USA
| | - Christina Mayerhofer
- Center for Regenerative Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138, USA
- Harvard Stem Cell Institute, Cambridge, MA, 02138, USA
| | - Rojesh Shrestha
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138, USA
- Harvard Stem Cell Institute, Cambridge, MA, 02138, USA
- Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Andrew Earl
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138, USA
- Harvard Stem Cell Institute, Cambridge, MA, 02138, USA
- Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Yan Hu
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138, USA
- Harvard Stem Cell Institute, Cambridge, MA, 02138, USA
- Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Tristan Tay
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138, USA
- Harvard Stem Cell Institute, Cambridge, MA, 02138, USA
- Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Catherine Rhee
- Center for Regenerative Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138, USA
- Harvard Stem Cell Institute, Cambridge, MA, 02138, USA
| | - Jason D Buenrostro
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138, USA.
- Harvard Stem Cell Institute, Cambridge, MA, 02138, USA.
- Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.
| | - David T Scadden
- Center for Regenerative Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA.
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138, USA.
- Harvard Stem Cell Institute, Cambridge, MA, 02138, USA.
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2
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Joung J, Ma S, Tay T, Geiger-Schuller KR, Kirchgatterer PC, Verdine VK, Guo B, Arias-Garcia MA, Allen WE, Singh A, Kuksenko O, Abudayyeh OO, Gootenberg JS, Fu Z, Macrae RK, Buenrostro JD, Regev A, Zhang F. A transcription factor atlas of directed differentiation. Cell 2024:S0092-8674(24)00464-1. [PMID: 38697106 DOI: 10.1016/j.cell.2024.04.038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/04/2024]
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3
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Lareau CA, Ludwig LS, Muus C, Gohil SH, Zhao T, Chiang Z, Pelka K, Verboon JM, Luo W, Christian E, Rosebrock D, Getz G, Boland GM, Chen F, Buenrostro JD, Hacohen N, Wu CJ, Aryee MJ, Regev A, Sankaran VG. Author Correction: Massively parallel single-cell mitochondrial DNA genotyping and chromatin profiling. Nat Biotechnol 2023; 41:1345. [PMID: 37653227 DOI: 10.1038/s41587-023-01942-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/02/2023]
Affiliation(s)
- Caleb A Lareau
- Division of Hematology/Oncology, Boston Children's Hospital and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Division of Medical Sciences, Harvard Medical School, Boston, MA, USA.
| | - Leif S Ludwig
- Division of Hematology/Oncology, Boston Children's Hospital and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
| | - Christoph Muus
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
| | - Satyen H Gohil
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Academic Haematology, UCL Cancer Institute, London, UK
| | - Tongtong Zhao
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
| | - Zachary Chiang
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Medical Sciences, Harvard Medical School, Boston, MA, USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
| | - Karin Pelka
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Cancer Research, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Jeffrey M Verboon
- Division of Hematology/Oncology, Boston Children's Hospital and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Wendy Luo
- Division of Hematology/Oncology, Boston Children's Hospital and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Elena Christian
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Medical Sciences, Harvard Medical School, Boston, MA, USA
| | - Daniel Rosebrock
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Gad Getz
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Pathology, Harvard Medical School, Boston, MA, USA
| | - Genevieve M Boland
- Center for Cancer Research, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Fei Chen
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Jason D Buenrostro
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
| | - Nir Hacohen
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Cancer Research, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Catherine J Wu
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Martin J Aryee
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Pathology, Harvard Medical School, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Aviv Regev
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Howard Hughes Medical Institute, Chevy Chase, MD, USA.
- Department of Biology and Koch Institute, Massachusetts Institute of Technology, Cambridge, MA, USA.
| | - Vijay G Sankaran
- Division of Hematology/Oncology, Boston Children's Hospital and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Harvard Stem Cell Institute, Cambridge, MA, USA.
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4
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Cheong JG, Ravishankar A, Sharma S, Parkhurst CN, Grassmann SA, Wingert CK, Laurent P, Ma S, Paddock L, Miranda IC, Karakaslar EO, Nehar-Belaid D, Thibodeau A, Bale MJ, Kartha VK, Yee JK, Mays MY, Jiang C, Daman AW, Martinez de Paz A, Ahimovic D, Ramos V, Lercher A, Nielsen E, Alvarez-Mulett S, Zheng L, Earl A, Yallowitz A, Robbins L, LaFond E, Weidman KL, Racine-Brzostek S, Yang HS, Price DR, Leyre L, Rendeiro AF, Ravichandran H, Kim J, Borczuk AC, Rice CM, Jones RB, Schenck EJ, Kaner RJ, Chadburn A, Zhao Z, Pascual V, Elemento O, Schwartz RE, Buenrostro JD, Niec RE, Barrat FJ, Lief L, Sun JC, Ucar D, Josefowicz SZ. Epigenetic memory of coronavirus infection in innate immune cells and their progenitors. Cell 2023; 186:3882-3902.e24. [PMID: 37597510 PMCID: PMC10638861 DOI: 10.1016/j.cell.2023.07.019] [Citation(s) in RCA: 24] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 04/20/2023] [Accepted: 07/12/2023] [Indexed: 08/21/2023]
Abstract
Inflammation can trigger lasting phenotypes in immune and non-immune cells. Whether and how human infections and associated inflammation can form innate immune memory in hematopoietic stem and progenitor cells (HSPC) has remained unclear. We found that circulating HSPC, enriched from peripheral blood, captured the diversity of bone marrow HSPC, enabling investigation of their epigenomic reprogramming following coronavirus disease 2019 (COVID-19). Alterations in innate immune phenotypes and epigenetic programs of HSPC persisted for months to 1 year following severe COVID-19 and were associated with distinct transcription factor (TF) activities, altered regulation of inflammatory programs, and durable increases in myelopoiesis. HSPC epigenomic alterations were conveyed, through differentiation, to progeny innate immune cells. Early activity of IL-6 contributed to these persistent phenotypes in human COVID-19 and a mouse coronavirus infection model. Epigenetic reprogramming of HSPC may underlie altered immune function following infection and be broadly relevant, especially for millions of COVID-19 survivors.
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Affiliation(s)
- Jin-Gyu Cheong
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10065, USA; Immunology and Microbial Pathogenesis Program, Weill Cornell Medicine, New York, NY 10065, USA
| | - Arjun Ravishankar
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10065, USA
| | - Siddhartha Sharma
- The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA
| | | | - Simon A Grassmann
- Immunology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Claire K Wingert
- Immunology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Paoline Laurent
- HSS Research Institute, Hospital for Special Surgery, New York, NY 10021, USA
| | - Sai Ma
- Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02142, USA
| | - Lucinda Paddock
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10065, USA
| | | | - Emin Onur Karakaslar
- The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA; Leiden University Medical Center (LUMC), Leiden, The Netherlands
| | | | - Asa Thibodeau
- The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA
| | - Michael J Bale
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10065, USA; Immunology and Microbial Pathogenesis Program, Weill Cornell Medicine, New York, NY 10065, USA
| | - Vinay K Kartha
- Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02142, USA
| | - Jim K Yee
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10065, USA
| | - Minh Y Mays
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10065, USA
| | - Chenyang Jiang
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10065, USA
| | - Andrew W Daman
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10065, USA; Immunology and Microbial Pathogenesis Program, Weill Cornell Medicine, New York, NY 10065, USA
| | - Alexia Martinez de Paz
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10065, USA
| | - Dughan Ahimovic
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10065, USA; Immunology and Microbial Pathogenesis Program, Weill Cornell Medicine, New York, NY 10065, USA
| | - Victor Ramos
- The Rockefeller University, New York, NY 10065, USA
| | | | - Erik Nielsen
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10065, USA; Department of Medicine, Weill Cornell Medicine, New York, NY 10065, USA
| | | | - Ling Zheng
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10065, USA
| | - Andrew Earl
- Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02142, USA
| | - Alisha Yallowitz
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10065, USA
| | - Lexi Robbins
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10065, USA
| | | | - Karissa L Weidman
- Department of Medicine, Weill Cornell Medicine, New York, NY 10065, USA
| | - Sabrina Racine-Brzostek
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10065, USA
| | - He S Yang
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10065, USA
| | - David R Price
- Department of Medicine, Weill Cornell Medicine, New York, NY 10065, USA
| | - Louise Leyre
- Immunology and Microbial Pathogenesis Program, Weill Cornell Medicine, New York, NY 10065, USA
| | - André F Rendeiro
- Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10065, USA; Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY 10065, USA; CeMM Research Center for Molecular Medicine, Austrian Academy of Sciences, 1090 Vienna, Austria
| | - Hiranmayi Ravichandran
- Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY 10065, USA; Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY 10065, USA
| | - Junbum Kim
- Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10065, USA
| | - Alain C Borczuk
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10065, USA; Department of Pathology and Laboratory Medicine, Northwell Health, Greenvale, NY 11548, USA
| | | | - R Brad Jones
- Department of Medicine, Division of Infectious Diseases, Weill Cornell Medicine, New York, NY 10065, USA; Department of Microbiology and Immunology, Weill Cornell Medicine, New York, NY 10065, USA
| | - Edward J Schenck
- Department of Medicine, Weill Cornell Medicine, New York, NY 10065, USA
| | - Robert J Kaner
- Department of Genetic Medicine, Weill Cornell Medicine, New York, NY 10065, USA
| | - Amy Chadburn
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10065, USA
| | - Zhen Zhao
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10065, USA
| | - Virginia Pascual
- Department of Pediatrics, Gale and Ira Drukier Institute for Children's Health, Weill Cornell Medicine, New York, NY 10065, USA
| | - Olivier Elemento
- Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10065, USA; Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY 10065, USA
| | - Robert E Schwartz
- Department of Medicine, Weill Cornell Medicine, New York, NY 10065, USA
| | - Jason D Buenrostro
- Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02142, USA
| | - Rachel E Niec
- Department of Medicine, Weill Cornell Medicine, New York, NY 10065, USA; The Rockefeller University, New York, NY 10065, USA
| | - Franck J Barrat
- Immunology and Microbial Pathogenesis Program, Weill Cornell Medicine, New York, NY 10065, USA; HSS Research Institute, Hospital for Special Surgery, New York, NY 10021, USA; Department of Microbiology and Immunology, Weill Cornell Medicine, New York, NY 10065, USA
| | - Lindsay Lief
- Department of Medicine, Weill Cornell Medicine, New York, NY 10065, USA
| | - Joseph C Sun
- Immunology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Duygu Ucar
- The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA; Institute for Systems Genomics, University of Connecticut Health Center, Farmington, CT, USA.
| | - Steven Z Josefowicz
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10065, USA; Immunology and Microbial Pathogenesis Program, Weill Cornell Medicine, New York, NY 10065, USA.
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5
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De Rop FV, Hulselmans G, Flerin C, Soler-Vila P, Rafels A, Christiaens V, González-Blas CB, Marchese D, Caratù G, Poovathingal S, Rozenblatt-Rosen O, Slyper M, Luo W, Muus C, Duarte F, Shrestha R, Bagdatli ST, Corces MR, Mamanova L, Knights A, Meyer KB, Mulqueen R, Taherinasab A, Maschmeyer P, Pezoldt J, Lambert CLG, Iglesias M, Najle SR, Dossani ZY, Martelotto LG, Burkett Z, Lebofsky R, Martin-Subero JI, Pillai S, Sebé-Pedrós A, Deplancke B, Teichmann SA, Ludwig LS, Braun TP, Adey AC, Greenleaf WJ, Buenrostro JD, Regev A, Aerts S, Heyn H. Systematic benchmarking of single-cell ATAC-sequencing protocols. Nat Biotechnol 2023:10.1038/s41587-023-01881-x. [PMID: 37537502 DOI: 10.1038/s41587-023-01881-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Accepted: 06/22/2023] [Indexed: 08/05/2023]
Abstract
Single-cell assay for transposase-accessible chromatin by sequencing (scATAC-seq) has emerged as a powerful tool for dissecting regulatory landscapes and cellular heterogeneity. However, an exploration of systemic biases among scATAC-seq technologies has remained absent. In this study, we benchmark the performance of eight scATAC-seq methods across 47 experiments using human peripheral blood mononuclear cells (PBMCs) as a reference sample and develop PUMATAC, a universal preprocessing pipeline, to handle the various sequencing data formats. Our analyses reveal significant differences in sequencing library complexity and tagmentation specificity, which impact cell-type annotation, genotype demultiplexing, peak calling, differential region accessibility and transcription factor motif enrichment. Our findings underscore the importance of sample extraction, method selection, data processing and total cost of experiments, offering valuable guidance for future research. Finally, our data and analysis pipeline encompasses 169,000 PBMC scATAC-seq profiles and a best practices code repository for scATAC-seq data analysis, which are freely available to extend this benchmarking effort to future protocols.
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Affiliation(s)
- Florian V De Rop
- VIB Center for Brain and Disease Research, Leuven, Belgium
- Department of Human Genetics, KU Leuven, Leuven, Belgium
| | - Gert Hulselmans
- VIB Center for Brain and Disease Research, Leuven, Belgium
- Department of Human Genetics, KU Leuven, Leuven, Belgium
| | - Chris Flerin
- VIB Center for Brain and Disease Research, Leuven, Belgium
- Department of Human Genetics, KU Leuven, Leuven, Belgium
| | - Paula Soler-Vila
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Albert Rafels
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
| | - Valerie Christiaens
- VIB Center for Brain and Disease Research, Leuven, Belgium
- Department of Human Genetics, KU Leuven, Leuven, Belgium
| | - Carmen Bravo González-Blas
- VIB Center for Brain and Disease Research, Leuven, Belgium
- Department of Human Genetics, KU Leuven, Leuven, Belgium
| | - Domenica Marchese
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
| | - Ginevra Caratù
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
| | | | | | | | - Wendy Luo
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | - Fabiana Duarte
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
- Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Rojesh Shrestha
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
- Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | - M Ryan Corces
- Gladstone Institute of Neurological Disease, San Francisco, CA, USA
| | | | | | | | - Ryan Mulqueen
- Department of Molecular and Medical Genetics, Oregon Health & Science University, Portland, OR, USA
| | - Akram Taherinasab
- Division of Hematology & Medical Oncology, Knight Cancer Institute, Oregon Health & Sciences University, Portland, OR, USA
- Division of Oncologic Sciences, Knight Cancer Institute, Oregon Health & Sciences University, Portland, OR, USA
| | - Patrick Maschmeyer
- Berlin Institute of Health at Charité-Universitätsmedizin Berlin, Berlin, Germany
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin Institute for Medical Systems Biology (BIMSB), Berlin, Germany
| | - Jörn Pezoldt
- Laboratory of Systems Biology and Genetics, Institute of Bioengineering, School of Life Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
- Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland
| | - Camille Lucie Germaine Lambert
- Laboratory of Systems Biology and Genetics, Institute of Bioengineering, School of Life Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
- Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland
| | - Marta Iglesias
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Sebastián R Najle
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
| | - Zain Y Dossani
- Vitalant Research Institute, San Francisco, CA, USA
- Department of Laboratory Medicine, University of California, San Francisco, CA, USA
| | - Luciano G Martelotto
- Adelaide Centre for Epigenetics and the South Australian Immunogenomics Cancer Institute, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, Australia
- University of Melbourne Centre for Cancer Research, Victoria Comprehensive Cancer Centre, Melbourne, Victoria, Australia
| | - Zach Burkett
- Digital Biology Group, Bio-Rad, Pleasanton, CA, USA
| | | | - José Ignacio Martin-Subero
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Departament de Fonaments Clínics, Facultat de Medicina, Universitat de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
- Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
| | - Satish Pillai
- Vitalant Research Institute, San Francisco, CA, USA
- Department of Laboratory Medicine, University of California, San Francisco, CA, USA
| | - Arnau Sebé-Pedrós
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- ICREA, Barcelona, Spain
| | - Bart Deplancke
- Laboratory of Systems Biology and Genetics, Institute of Bioengineering, School of Life Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
- Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland
| | - Sarah A Teichmann
- Wellcome Sanger Institute, Cambridge, UK
- Department of Physics/Cavendish Laboratory, University of Cambridge, Cambridge, UK
| | - Leif S Ludwig
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Berlin Institute of Health at Charité-Universitätsmedizin Berlin, Berlin, Germany
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin Institute for Medical Systems Biology (BIMSB), Berlin, Germany
| | - Theodore P Braun
- Division of Hematology & Medical Oncology, Knight Cancer Institute, Oregon Health & Sciences University, Portland, OR, USA
- Division of Oncologic Sciences, Knight Cancer Institute, Oregon Health & Sciences University, Portland, OR, USA
| | - Andrew C Adey
- Department of Molecular and Medical Genetics, Oregon Health & Science University, Portland, OR, USA
| | - William J Greenleaf
- Department of Genetics, Stanford University, Stanford, CA, USA
- Chan Zuckerberg Biohub, San Francisco, CA, USA
| | - Jason D Buenrostro
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
- Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Aviv Regev
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Koch Institute of Integrative Cancer Research, Cambridge, MA, USA
- Howard Hughes Medical Institute, Department of Biology, Massachusetts Institute of Technology (MIT), Cambridge, MA, USA
| | - Stein Aerts
- VIB Center for Brain and Disease Research, Leuven, Belgium.
- Department of Human Genetics, KU Leuven, Leuven, Belgium.
| | - Holger Heyn
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain.
- Universitat Pompeu Fabra (UPF), Barcelona, Spain.
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6
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Papathanasiou S, Mynhier NA, Liu S, Brunette G, Stokasimov E, Jacob E, Li L, Comenho C, van Steensel B, Buenrostro JD, Zhang CZ, Pellman D. Heritable transcriptional defects from aberrations of nuclear architecture. Nature 2023; 619:184-192. [PMID: 37286600 PMCID: PMC10322708 DOI: 10.1038/s41586-023-06157-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 05/02/2023] [Indexed: 06/09/2023]
Abstract
Transcriptional heterogeneity due to plasticity of the epigenetic state of chromatin contributes to tumour evolution, metastasis and drug resistance1-3. However, the mechanisms that cause this epigenetic variation are incompletely understood. Here we identify micronuclei and chromosome bridges, aberrations in the nucleus common in cancer4,5, as sources of heritable transcriptional suppression. Using a combination of approaches, including long-term live-cell imaging and same-cell single-cell RNA sequencing (Look-Seq2), we identified reductions in gene expression in chromosomes from micronuclei. With heterogeneous penetrance, these changes in gene expression can be heritable even after the chromosome from the micronucleus has been re-incorporated into a normal daughter cell nucleus. Concomitantly, micronuclear chromosomes acquire aberrant epigenetic chromatin marks. These defects may persist as variably reduced chromatin accessibility and reduced gene expression after clonal expansion from single cells. Persistent transcriptional repression is strongly associated with, and may be explained by, markedly long-lived DNA damage. Epigenetic alterations in transcription may therefore be inherently coupled to chromosomal instability and aberrations in nuclear architecture.
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Affiliation(s)
- Stamatis Papathanasiou
- Department of Cell Biology, Blavatnik Institute, Harvard Medical School, Boston, MA, USA.
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
- Institute of Molecular Biology, Mainz, Germany.
| | - Nikos A Mynhier
- Department of Cell Biology, Blavatnik Institute, Harvard Medical School, Boston, MA, USA
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Shiwei Liu
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA
| | - Gregory Brunette
- Department of Cell Biology, Blavatnik Institute, Harvard Medical School, Boston, MA, USA
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Ema Stokasimov
- Department of Cell Biology, Blavatnik Institute, Harvard Medical School, Boston, MA, USA
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Etai Jacob
- Single-Cell Sequencing Program, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA, USA
- AstraZeneca, Waltham, MA, USA
| | - Lanting Li
- Single-Cell Sequencing Program, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Biomedical Informatics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA
| | - Caroline Comenho
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
- Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Bas van Steensel
- Division of Gene Regulation and Oncode Institute, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Jason D Buenrostro
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
- Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Cheng-Zhong Zhang
- Single-Cell Sequencing Program, Dana-Farber Cancer Institute, Boston, MA, USA.
- Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA, USA.
- Department of Biomedical Informatics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
| | - David Pellman
- Department of Cell Biology, Blavatnik Institute, Harvard Medical School, Boston, MA, USA.
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
- Single-Cell Sequencing Program, Dana-Farber Cancer Institute, Boston, MA, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Howard Hughes Medical Institute, Chevy Chase, MD, USA.
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7
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Morse DB, Michalowski AM, Ceribelli M, De Jonghe J, Vias M, Riley D, Davies-Hill T, Voss T, Pittaluga S, Muus C, Liu J, Boyle S, Weitz DA, Brenton JD, Buenrostro JD, Knowles TPJ, Thomas CJ. Positional influence on cellular transcriptional identity revealed through spatially segmented single-cell transcriptomics. Cell Syst 2023; 14:464-481.e7. [PMID: 37348462 PMCID: PMC10424188 DOI: 10.1016/j.cels.2023.05.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Revised: 01/22/2023] [Accepted: 05/17/2023] [Indexed: 06/24/2023]
Abstract
Single-cell RNA sequencing (scRNA-seq) is a powerful technique for describing cell states. Identifying the spatial arrangement of these states in tissues remains challenging, with the existing methods requiring niche methodologies and expertise. Here, we describe segmentation by exogenous perfusion (SEEP), a rapid and integrated method to link surface proximity and environment accessibility to transcriptional identity within three-dimensional (3D) disease models. The method utilizes the steady-state diffusion kinetics of a fluorescent dye to establish a gradient along the radial axis of disease models. Classification of sample layers based on dye accessibility enables dissociated and sorted cells to be characterized by transcriptomic and regional identities. Using SEEP, we analyze spheroid, organoid, and in vivo tumor models of high-grade serous ovarian cancer (HGSOC). The results validate long-standing beliefs about the relationship between cell state and position while revealing new concepts regarding how spatially unique microenvironments influence the identity of individual cells within tumors.
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Affiliation(s)
- David B Morse
- Cavendish Laboratory, Department of Physics, University of Cambridge, J J Thomson Ave, Cambridge, UK; Division of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, MD, USA; John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Aleksandra M Michalowski
- Laboratory of Cancer Biology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Michele Ceribelli
- Division of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, MD, USA
| | | | - Maria Vias
- Cancer Research UK, Cambridge Research Institute, Li Ka Shing Centre, Robinson Way, Cambridge, UK
| | - Deanna Riley
- Laboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Theresa Davies-Hill
- Laboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Ty Voss
- Division of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, MD, USA
| | - Stefania Pittaluga
- Laboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Christoph Muus
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Jiamin Liu
- Advanced Imaging and Microscopy Resource, National Institutes of Health Clinical Center, Bethesda, MD, USA
| | - Samantha Boyle
- Cancer Research UK, Cambridge Research Institute, Li Ka Shing Centre, Robinson Way, Cambridge, UK
| | - David A Weitz
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA; Department of Physics, Harvard University, Cambridge, MA, USA
| | - James D Brenton
- Cancer Research UK, Cambridge Research Institute, Li Ka Shing Centre, Robinson Way, Cambridge, UK
| | - Jason D Buenrostro
- Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
| | - Tuomas P J Knowles
- Cavendish Laboratory, Department of Physics, University of Cambridge, J J Thomson Ave, Cambridge, UK; Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge, UK.
| | - Craig J Thomas
- Division of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, MD, USA; Lymphoid Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
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8
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Mangiameli SM, Chen H, Earl AS, Dobkin JA, Lesman D, Buenrostro JD, Chen F. Photoselective sequencing: microscopically guided genomic measurements with subcellular resolution. Nat Methods 2023; 20:686-694. [PMID: 37106232 DOI: 10.1038/s41592-023-01845-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Accepted: 03/13/2023] [Indexed: 04/29/2023]
Abstract
In biological systems, spatial organization and function are interconnected. Here we present photoselective sequencing, a new method for genomic and epigenomic profiling within morphologically distinct regions. Starting with an intact biological specimen, photoselective sequencing uses targeted illumination to selectively unblock a photocaged fragment library, restricting the sequencing-based readout to microscopically identified spatial regions. We validate photoselective sequencing by measuring the chromatin accessibility profiles of fluorescently labeled cell types within the mouse brain and comparing with published data. Furthermore, by combining photoselective sequencing with a computational strategy for decomposing bulk accessibility profiles, we find that the oligodendrocyte-lineage-cell population is relatively enriched for oligodendrocyte-progenitor cells in the cortex versus the corpus callosum. Finally, we leverage photoselective sequencing at the subcellular scale to identify features of chromatin that are correlated with positioning at the nuclear periphery. These results collectively demonstrate that photoselective sequencing is a flexible and generalizable platform for exploring the interplay of spatial structures with genomic and epigenomic properties.
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Affiliation(s)
- Sarah M Mangiameli
- Gene Regulation Observatory, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
| | - Haiqi Chen
- Gene Regulation Observatory, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Cecil H. and Ida Green Center for Reproductive Biology Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA
- Department of Obstetrics and Gynecology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Andrew S Earl
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
| | - Julie A Dobkin
- Gene Regulation Observatory, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Daniel Lesman
- Gene Regulation Observatory, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Jason D Buenrostro
- Gene Regulation Observatory, The Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA.
| | - Fei Chen
- Gene Regulation Observatory, The Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA.
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9
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Otto JE, Ursu O, Wu AP, Winter EB, Cuoco MS, Ma S, Qian K, Michel BC, Buenrostro JD, Berger B, Regev A, Kadoch C. Structural and functional properties of mSWI/SNF chromatin remodeling complexes revealed through single-cell perturbation screens. Mol Cell 2023; 83:1350-1367.e7. [PMID: 37028419 DOI: 10.1016/j.molcel.2023.03.013] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 02/07/2023] [Accepted: 03/10/2023] [Indexed: 04/09/2023]
Abstract
The mammalian SWI/SNF (mSWI/SNF or BAF) family of chromatin remodeling complexes play critical roles in regulating DNA accessibility and gene expression. The three final-form subcomplexes-cBAF, PBAF, and ncBAF-are distinct in biochemical componentry, chromatin targeting, and roles in disease; however, the contributions of their constituent subunits to gene expression remain incompletely defined. Here, we performed Perturb-seq-based CRISPR-Cas9 knockout screens targeting mSWI/SNF subunits individually and in select combinations, followed by single-cell RNA-seq and SHARE-seq. We uncovered complex-, module-, and subunit-specific contributions to distinct regulatory networks and defined paralog subunit relationships and shifted subcomplex functions upon perturbations. Synergistic, intra-complex genetic interactions between subunits reveal functional redundancy and modularity. Importantly, single-cell subunit perturbation signatures mapped across bulk primary human tumor expression profiles both mirror and predict cBAF loss-of-function status in cancer. Our findings highlight the utility of Perturb-seq to dissect disease-relevant gene regulatory impacts of heterogeneous, multi-component master regulatory complexes.
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Affiliation(s)
- Jordan E Otto
- Department of Pediatric Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA; Chemical Biology Program, Harvard University, Cambridge, MA, USA
| | - Oana Ursu
- Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Alexander P Wu
- Broad Institute of MIT and Harvard, Cambridge, MA, USA; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Mathematics, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Evan B Winter
- Department of Pediatric Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | - Sai Ma
- Broad Institute of MIT and Harvard, Cambridge, MA, USA; Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
| | - Kristin Qian
- Department of Pediatric Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA; Biological and Biomedical Sciences Program, Harvard Medical School, Boston, MA, USA
| | - Brittany C Michel
- Department of Pediatric Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA; Biological and Biomedical Sciences Program, Harvard Medical School, Boston, MA, USA
| | - Jason D Buenrostro
- Broad Institute of MIT and Harvard, Cambridge, MA, USA; Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
| | - Bonnie Berger
- Broad Institute of MIT and Harvard, Cambridge, MA, USA; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Mathematics, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Aviv Regev
- Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA; Howard Hughes Medical Institute, Chevy Chase, MD, UA.
| | - Cigall Kadoch
- Department of Pediatric Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA; Chemical Biology Program, Harvard University, Cambridge, MA, USA; Howard Hughes Medical Institute, Chevy Chase, MD, UA.
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10
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Hu Y, Ma S, Kartha VK, Duarte FM, Horlbeck M, Zhang R, Shrestha R, Labade A, Kletzien H, Meliki A, Castillo A, Durand N, Mattei E, Anderson LJ, Tay T, Earl AS, Shoresh N, Epstein CB, Wagers A, Buenrostro JD. Single-cell multi-scale footprinting reveals the modular organization of DNA regulatory elements. bioRxiv 2023:2023.03.28.533945. [PMID: 37034577 PMCID: PMC10081223 DOI: 10.1101/2023.03.28.533945] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
Cis-regulatory elements control gene expression and are dynamic in their structure, reflecting changes to the composition of diverse effector proteins over time1-3. Here we sought to connect the structural changes at cis-regulatory elements to alterations in cellular fate and function. To do this we developed PRINT, a computational method that uses deep learning to correct sequence bias in chromatin accessibility data and identifies multi-scale footprints of DNA-protein interactions. We find that multi-scale footprints enable more accurate inference of TF and nucleosome binding. Using PRINT with single-cell multi-omics, we discover wide-spread changes to the structure and function of candidate cis-regulatory elements (cCREs) across hematopoiesis, wherein nucleosomes slide, expose DNA for TF binding, and promote gene expression. Activity segmentation using the co-variance across cell states identifies "sub-cCREs" as modular cCRE subunits of regulatory DNA. We apply this single-cell and PRINT approach to characterize the age-associated alterations to cCREs within hematopoietic stem cells (HSCs). Remarkably, we find a spectrum of aging alterations among HSCs corresponding to a global gain of sub-cCRE activity while preserving cCRE accessibility. Collectively, we reveal the functional importance of cCRE structure across cell states, highlighting changes to gene regulation at single-cell and single-base-pair resolution.
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Affiliation(s)
- Yan Hu
- Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, 02142 USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138 USA
| | - Sai Ma
- Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, 02142 USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138 USA
- Current address: Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA
| | - Vinay K. Kartha
- Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, 02142 USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138 USA
| | - Fabiana M. Duarte
- Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, 02142 USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138 USA
| | - Max Horlbeck
- Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, 02142 USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138 USA
| | - Ruochi Zhang
- Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, 02142 USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138 USA
| | - Rojesh Shrestha
- Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, 02142 USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138 USA
| | - Ajay Labade
- Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, 02142 USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138 USA
| | - Heidi Kletzien
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138 USA
- Paul F. Glenn Center for the Biology of Aging, Harvard Medical School, Boston, MA 02115
| | - Alia Meliki
- Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, 02142 USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138 USA
| | - Andrew Castillo
- Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, 02142 USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138 USA
| | - Neva Durand
- Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, 02142 USA
| | - Eugenio Mattei
- Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, 02142 USA
| | - Lauren J. Anderson
- Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, 02142 USA
| | - Tristan Tay
- Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, 02142 USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138 USA
| | - Andrew S. Earl
- Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, 02142 USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138 USA
| | - Noam Shoresh
- Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, 02142 USA
| | - Charles B. Epstein
- Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, 02142 USA
| | - Amy Wagers
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138 USA
- Paul F. Glenn Center for the Biology of Aging, Harvard Medical School, Boston, MA 02115
| | - Jason D. Buenrostro
- Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, 02142 USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138 USA
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11
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Joung J, Ma S, Tay T, Geiger-Schuller KR, Kirchgatterer PC, Verdine VK, Guo B, Arias-Garcia MA, Allen WE, Singh A, Kuksenko O, Abudayyeh OO, Gootenberg JS, Fu Z, Macrae RK, Buenrostro JD, Regev A, Zhang F. A transcription factor atlas of directed differentiation. Cell 2023; 186:209-229.e26. [PMID: 36608654 PMCID: PMC10344468 DOI: 10.1016/j.cell.2022.11.026] [Citation(s) in RCA: 27] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Revised: 08/04/2022] [Accepted: 11/23/2022] [Indexed: 01/07/2023]
Abstract
Transcription factors (TFs) regulate gene programs, thereby controlling diverse cellular processes and cell states. To comprehensively understand TFs and the programs they control, we created a barcoded library of all annotated human TF splice isoforms (>3,500) and applied it to build a TF Atlas charting expression profiles of human embryonic stem cells (hESCs) overexpressing each TF at single-cell resolution. We mapped TF-induced expression profiles to reference cell types and validated candidate TFs for generation of diverse cell types, spanning all three germ layers and trophoblasts. Targeted screens with subsets of the library allowed us to create a tailored cellular disease model and integrate mRNA expression and chromatin accessibility data to identify downstream regulators. Finally, we characterized the effects of combinatorial TF overexpression by developing and validating a strategy for predicting combinations of TFs that produce target expression profiles matching reference cell types to accelerate cellular engineering efforts.
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Affiliation(s)
- Julia Joung
- Department of Biological Engineering, MIT, Cambridge, MA 02139, USA; Department of Brain and Cognitive Science, MIT, Cambridge, MA 02139, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; McGovern Institute for Brain Research at MIT, Cambridge, MA 02139, USA; Howard Hughes Medical Institute, MIT, Cambridge, MA 02139, USA
| | - Sai Ma
- Department of Biology, MIT, Cambridge, MA 02139, USA; Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA; Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Tristan Tay
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA; Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Kathryn R Geiger-Schuller
- Department of Biology, MIT, Cambridge, MA 02139, USA; Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Paul C Kirchgatterer
- Department of Biological Engineering, MIT, Cambridge, MA 02139, USA; Department of Brain and Cognitive Science, MIT, Cambridge, MA 02139, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; McGovern Institute for Brain Research at MIT, Cambridge, MA 02139, USA; Howard Hughes Medical Institute, MIT, Cambridge, MA 02139, USA
| | - Vanessa K Verdine
- Department of Biological Engineering, MIT, Cambridge, MA 02139, USA; Department of Brain and Cognitive Science, MIT, Cambridge, MA 02139, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; McGovern Institute for Brain Research at MIT, Cambridge, MA 02139, USA; Howard Hughes Medical Institute, MIT, Cambridge, MA 02139, USA
| | - Baolin Guo
- McGovern Institute for Brain Research at MIT, Cambridge, MA 02139, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Mario A Arias-Garcia
- McGovern Institute for Brain Research at MIT, Cambridge, MA 02139, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - William E Allen
- Department of Biological Engineering, MIT, Cambridge, MA 02139, USA; Department of Brain and Cognitive Science, MIT, Cambridge, MA 02139, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; McGovern Institute for Brain Research at MIT, Cambridge, MA 02139, USA; Howard Hughes Medical Institute, MIT, Cambridge, MA 02139, USA; Society of Fellows, Harvard University, Cambridge, MA, USA
| | - Ankita Singh
- Department of Biological Engineering, MIT, Cambridge, MA 02139, USA; Department of Brain and Cognitive Science, MIT, Cambridge, MA 02139, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; McGovern Institute for Brain Research at MIT, Cambridge, MA 02139, USA; Howard Hughes Medical Institute, MIT, Cambridge, MA 02139, USA
| | - Olena Kuksenko
- Department of Biology, MIT, Cambridge, MA 02139, USA; Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Omar O Abudayyeh
- Department of Biological Engineering, MIT, Cambridge, MA 02139, USA; Department of Brain and Cognitive Science, MIT, Cambridge, MA 02139, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; McGovern Institute for Brain Research at MIT, Cambridge, MA 02139, USA; Howard Hughes Medical Institute, MIT, Cambridge, MA 02139, USA
| | - Jonathan S Gootenberg
- Department of Biological Engineering, MIT, Cambridge, MA 02139, USA; Department of Brain and Cognitive Science, MIT, Cambridge, MA 02139, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; McGovern Institute for Brain Research at MIT, Cambridge, MA 02139, USA; Howard Hughes Medical Institute, MIT, Cambridge, MA 02139, USA
| | - Zhanyan Fu
- McGovern Institute for Brain Research at MIT, Cambridge, MA 02139, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Rhiannon K Macrae
- Department of Biological Engineering, MIT, Cambridge, MA 02139, USA; Department of Brain and Cognitive Science, MIT, Cambridge, MA 02139, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; McGovern Institute for Brain Research at MIT, Cambridge, MA 02139, USA; Howard Hughes Medical Institute, MIT, Cambridge, MA 02139, USA
| | - Jason D Buenrostro
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA; Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Aviv Regev
- Department of Biology, MIT, Cambridge, MA 02139, USA; Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Feng Zhang
- Department of Biological Engineering, MIT, Cambridge, MA 02139, USA; Department of Brain and Cognitive Science, MIT, Cambridge, MA 02139, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; McGovern Institute for Brain Research at MIT, Cambridge, MA 02139, USA; Howard Hughes Medical Institute, MIT, Cambridge, MA 02139, USA.
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12
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Kartha VK, Duarte FM, Hu Y, Ma S, Chew JG, Lareau CA, Earl A, Burkett ZD, Kohlway AS, Lebofsky R, Buenrostro JD. Functional inference of gene regulation using single-cell multi-omics. Cell Genomics 2022; 2. [PMID: 36204155 PMCID: PMC9534481 DOI: 10.1016/j.xgen.2022.100166] [Citation(s) in RCA: 53] [Impact Index Per Article: 26.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
Cells require coordinated control over gene expression when responding to environmental stimuli. Here we apply scATAC-seq and single-cell RNA sequencing (scRNA-seq) in resting and stimulated human blood cells. Collectively, we generate ~91,000 single-cell profiles, allowing us to probe the cis-regulatory landscape of the immunological response across cell types, stimuli, and time. Advancing tools to integrate multi-omics data, we develop functional inference of gene regulation (FigR), a framework to computationally pair scA-TAC-seq with scRNA-seq cells, connect distal cis-regulatory elements to genes, and infer gene-regulatory networks (GRNs) to identify candidate transcription factor (TF) regulators. Utilizing these paired multi-omics data, we define domains of regulatory chromatin (DORCs) of immune stimulation and find that cells alter chromatin accessibility and gene expression at timescales of minutes. Construction of the stimulation GRN elucidates TF activity at disease-associated DORCs. Overall, FigR enables elucidation of regulatory interactions across single-cell data, providing new opportunities to understand the function of cells within tissues. Single-cell methods for measuring chromatin accessibility (ATAC-seq) and gene expression (RNA-seq) are rapidly evolving, but tools to integrate data and infer gene-regulatory relationships remain limited. Here we generate multi-omics data of resting and stimulated human blood cells and present a new computational framework for constructing gene-regulatory networks (GRNs). Specifically, we describe functional inference of gene regulation (FigR), a workflow to (1) pair scATAC-seq with scRNA-seq, (2) connect cis-regulatory elements to target genes, and (3) identify TF-gene relationships.
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Affiliation(s)
- Vinay K. Kartha
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
- Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Fabiana M. Duarte
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
- Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Yan Hu
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
- Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Sai Ma
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
- Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | | | - Caleb A. Lareau
- Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Andrew Earl
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
- Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | | | | | | | - Jason D. Buenrostro
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
- Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Corresponding author
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13
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Abstract
Cancer initiation is driven by the cooperation between genetic and epigenetic aberrations that disrupt gene regulatory programs critical to maintaining specialized cellular functions. After initiation, cells acquire additional genetic and epigenetic alterations influenced by tumor-intrinsic and -extrinsic mechanisms, which increase intratumoral heterogeneity, reshape the cell's underlying gene regulatory networks and promote cancer evolution. Furthermore, environmental or therapeutic insults drive the selection of heterogeneous cell states, with implications for cancer initiation, maintenance, and drug resistance. The advancement of single-cell genomics has begun to uncover the full repertoire of chromatin and gene expression states (cell states) that exist within individual tumors. These single-cell analyses suggest that cells diversify in their regulatory states upon transformation by co-opting damage-induced and nonlineage regulatory programs that can lead to epigenomic plasticity. Here, we review these recent studies related to regulatory state changes in cancer progression and highlight the growing single-cell epigenomics toolkit poised to address unresolved questions in the field.
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Affiliation(s)
- Lindsay M. LaFave
- Department of Cell Biology and Albert Einstein Cancer Center, Albert Einstein College of Medicine, Montefiore Health System, Bronx, NY, USA
| | - Rachel E. Savage
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, Massachusetts, USA
- Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Jason D. Buenrostro
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, Massachusetts, USA
- Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
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14
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Zhao T, Chiang ZD, Morriss JW, LaFave LM, Murray EM, Del Priore I, Meli K, Lareau CA, Nadaf NM, Li J, Earl AS, Macosko EZ, Jacks T, Buenrostro JD, Chen F. Spatial genomics enables multi-modal study of clonal heterogeneity in tissues. Nature 2022; 601:85-91. [PMID: 34912115 PMCID: PMC9301586 DOI: 10.1038/s41586-021-04217-4] [Citation(s) in RCA: 93] [Impact Index Per Article: 46.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Accepted: 11/08/2021] [Indexed: 12/29/2022]
Abstract
The state and behaviour of a cell can be influenced by both genetic and environmental factors. In particular, tumour progression is determined by underlying genetic aberrations1-4 as well as the makeup of the tumour microenvironment5,6. Quantifying the contributions of these factors requires new technologies that can accurately measure the spatial location of genomic sequence together with phenotypic readouts. Here we developed slide-DNA-seq, a method for capturing spatially resolved DNA sequences from intact tissue sections. We demonstrate that this method accurately preserves local tumour architecture and enables the de novo discovery of distinct tumour clones and their copy number alterations. We then apply slide-DNA-seq to a mouse model of metastasis and a primary human cancer, revealing that clonal populations are confined to distinct spatial regions. Moreover, through integration with spatial transcriptomics, we uncover distinct sets of genes that are associated with clone-specific genetic aberrations, the local tumour microenvironment, or both. Together, this multi-modal spatial genomics approach provides a versatile platform for quantifying how cell-intrinsic and cell-extrinsic factors contribute to gene expression, protein abundance and other cellular phenotypes.
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Affiliation(s)
- Tongtong Zhao
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA,Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
| | - Zachary D. Chiang
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA,Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA,Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Julia W. Morriss
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA,Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
| | - Lindsay M. LaFave
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA,Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA,David H. Koch Institute, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Evan M. Murray
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA,Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
| | - Isabella Del Priore
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA,David H. Koch Institute, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Kevin Meli
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA,David H. Koch Institute, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Caleb A. Lareau
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA,Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
| | - Naeem M. Nadaf
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Jilong Li
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Andrew S. Earl
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA,Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA,Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Evan Z. Macosko
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA,Department of Psychiatry, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Tyler Jacks
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA,Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA,David H. Koch Institute, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Jason D. Buenrostro
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA,Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA,Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA,Correspondence and requests for materials should be addressed to or
| | - Fei Chen
- Broad Institute of MIT and Harvard, Cambridge, MA, USA. .,Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA. .,Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
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15
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Concepcion CP, Ma S, LaFave LM, Bhutkar A, Liu M, DeAngelo LP, Kim JY, Del Priore I, Schoenfeld AJ, Miller M, Kartha VK, Westcott PMK, Sanchez-Rivera FJ, Meli K, Gupta M, Bronson RT, Riely GJ, Rekhtman N, Rudin CM, Kim CF, Regev A, Buenrostro JD, Jacks T. SMARCA4 inactivation promotes lineage-specific transformation and early metastatic features in the lung. Cancer Discov 2021; 12:562-585. [PMID: 34561242 DOI: 10.1158/2159-8290.cd-21-0248] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 07/30/2021] [Accepted: 09/21/2021] [Indexed: 11/16/2022]
Abstract
SMARCA4/BRG1 encodes for one of two mutually exclusive ATPases present in mammalian SWI/SNF chromatin remodeling complexes and is frequently mutated in human lung adenocarcinoma. However, the functional consequences of SMARCA4 mutation on tumor initiation, progression, and chromatin regulation in lung cancer remain poorly understood. Here, we demonstrate that loss of Smarca4 sensitizes CCSP+ cells within the lung in a cell-type dependent fashion to malignant transformation and tumor progression, resulting in highly advanced dedifferentiated tumors and increased metastatic incidence. Consistent with these phenotypes, Smarca4-deficient primary tumors lack lung lineage transcription factor activities and resemble a metastatic cell state. Mechanistically, we show that Smarca4 loss impairs the function of all three classes of SWI/SNF complexes, resulting in decreased chromatin accessibility at lung lineage motifs and ultimately accelerating tumor progression. Thus, we propose that the SWI/SNF complex - via Smarca4 - acts as a gatekeeper for lineage-specific cellular transformation and metastasis during lung cancer evolution.
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Affiliation(s)
- Carla P Concepcion
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology
| | | | - Lindsay M LaFave
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology
| | - Arjun Bhutkar
- Koch Institute for Integrative Cancer Research and Department of Biology, Massachusetts Institute of Technology
| | - Manyuan Liu
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology
| | - Lydia P DeAngelo
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology
| | | | - Isabella Del Priore
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology
| | | | - Manon Miller
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology
| | | | - Peter M K Westcott
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology
| | | | - Kevin Meli
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology
| | | | | | | | | | - Charles M Rudin
- Druckenmiller Center for Lung Cancer Research and Department of Medicine, Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center
| | - Carla F Kim
- Stem Cell Program, Harvard University, Boston Children's Hospital
| | | | | | - Tyler Jacks
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology
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16
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Rose SA, Wroblewska A, Dhainaut M, Yoshida H, Shaffer JM, Bektesevic A, Ben-Zvi B, Rhoads A, Kim EY, Yu B, Lavin Y, Merad M, Buenrostro JD, Brown BD. A microRNA expression and regulatory element activity atlas of the mouse immune system. Nat Immunol 2021; 22:914-927. [PMID: 34099919 PMCID: PMC8480231 DOI: 10.1038/s41590-021-00944-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2020] [Accepted: 04/26/2021] [Indexed: 02/05/2023]
Abstract
To better define the control of immune system regulation, we generated an atlas of microRNA (miRNA) expression from 63 mouse immune cell populations and connected these signatures with assay for transposase-accessible chromatin using sequencing (ATAC-seq), chromatin immunoprecipitation followed by sequencing (ChIP-seq) and nascent RNA profiles to establish a map of miRNA promoter and enhancer usage in immune cells. miRNA complexity was relatively low, with >90% of the miRNA compartment of each population comprising <75 miRNAs; however, each cell type had a unique miRNA signature. Integration of miRNA expression with chromatin accessibility revealed putative regulatory elements for differentially expressed miRNAs, including miR-21a, miR-146a and miR-223. The integrated maps suggest that many miRNAs utilize multiple promoters to reach high abundance and identified dominant and divergent miRNA regulatory elements between lineages and during development that may be used by clustered miRNAs, such as miR-99a/let-7c/miR-125b, to achieve distinct expression. These studies, with web-accessible data, help delineate the cis-regulatory elements controlling miRNA signatures of the immune system.
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Affiliation(s)
- Samuel A Rose
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Aleksandra Wroblewska
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Maxime Dhainaut
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Hideyuki Yoshida
- YCI Laboratory for Immunological Transcriptomics, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan
| | | | - Anela Bektesevic
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Benjamin Ben-Zvi
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Andrew Rhoads
- Department of Pathology, Harvard Medical School, Boston, MA, USA
| | - Edy Y Kim
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Bingfei Yu
- Division of Biology, University of California San Diego, La Jolla, CA, USA
| | - Yonit Lavin
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Miriam Merad
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jason D Buenrostro
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
| | - Brian D Brown
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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17
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Abstract
Single-cell ATAC sequencing using combinatorial indexing (sciATAC-seq) enables the identification of chromatin accessibility profiles at single-cell resolution with a dual-barcoding approach during transposition and library construction. Unlike commercial droplet-based approaches, sciATAC-seq is a cost-effective, extensible strategy that permits flexibility in the experimental scale via multiplexed barcoding across samples or perturbations. In contrast, droplet-based approaches have higher cell recovery and may be advantageous when cell input is limited. The step-by-step sciATAC-seq protocol described here is amenable to diverse cell types and fixed samples. For complete details on the use and execution of this protocol, please refer to LaFave et al. (2020).
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Affiliation(s)
- Isabella Del Priore
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
| | - Sai Ma
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
| | | | - Tyler Jacks
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
| | - Lindsay M. LaFave
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
| | - Jason D. Buenrostro
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
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18
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Lareau CA, Ludwig LS, Muus C, Gohil SH, Zhao T, Chiang Z, Pelka K, Verboon JM, Luo W, Christian E, Rosebrock D, Getz G, Boland GM, Chen F, Buenrostro JD, Hacohen N, Wu CJ, Aryee MJ, Regev A, Sankaran VG. Massively parallel single-cell mitochondrial DNA genotyping and chromatin profiling. Nat Biotechnol 2021; 39:451-461. [PMID: 32788668 PMCID: PMC7878580 DOI: 10.1038/s41587-020-0645-6] [Citation(s) in RCA: 116] [Impact Index Per Article: 38.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2020] [Accepted: 07/17/2020] [Indexed: 12/24/2022]
Abstract
Natural mitochondrial DNA (mtDNA) mutations enable the inference of clonal relationships among cells. mtDNA can be profiled along with measures of cell state, but has not yet been combined with the massively parallel approaches needed to tackle the complexity of human tissue. Here, we introduce a high-throughput, droplet-based mitochondrial single-cell assay for transposase-accessible chromatin with sequencing (scATAC-seq), a method that combines high-confidence mtDNA mutation calling in thousands of single cells with their concomitant high-quality accessible chromatin profile. This enables the inference of mtDNA heteroplasmy, clonal relationships, cell state and accessible chromatin variation in individual cells. We reveal single-cell variation in heteroplasmy of a pathologic mtDNA variant, which we associate with intra-individual chromatin variability and clonal evolution. We clonally trace thousands of cells from cancers, linking epigenomic variability to subclonal evolution, and infer cellular dynamics of differentiating hematopoietic cells in vitro and in vivo. Taken together, our approach enables the study of cellular population dynamics and clonal properties in vivo.
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Affiliation(s)
- Caleb A Lareau
- Division of Hematology/Oncology, Boston Children's Hospital and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Division of Medical Sciences, Harvard Medical School, Boston, MA, USA.
| | - Leif S Ludwig
- Division of Hematology/Oncology, Boston Children's Hospital and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
| | - Christoph Muus
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
| | - Satyen H Gohil
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Academic Haematology, UCL Cancer Institute, London, UK
| | - Tongtong Zhao
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
| | - Zachary Chiang
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Medical Sciences, Harvard Medical School, Boston, MA, USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
| | - Karin Pelka
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Cancer Research, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Jeffrey M Verboon
- Division of Hematology/Oncology, Boston Children's Hospital and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Wendy Luo
- Division of Hematology/Oncology, Boston Children's Hospital and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Elena Christian
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Medical Sciences, Harvard Medical School, Boston, MA, USA
| | - Daniel Rosebrock
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Gad Getz
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Pathology, Harvard Medical School, Boston, MA, USA
| | - Genevieve M Boland
- Center for Cancer Research, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Fei Chen
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Jason D Buenrostro
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
| | - Nir Hacohen
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Cancer Research, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Catherine J Wu
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Martin J Aryee
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Pathology, Harvard Medical School, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Aviv Regev
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Howard Hughes Medical Institute, Chevy Chase, MD, USA.
- Department of Biology and Koch Institute, Massachusetts Institute of Technology, Cambridge, MA, USA.
| | - Vijay G Sankaran
- Division of Hematology/Oncology, Boston Children's Hospital and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Harvard Stem Cell Institute, Cambridge, MA, USA.
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19
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Lal A, Chiang ZD, Yakovenko N, Duarte FM, Israeli J, Buenrostro JD. Deep learning-based enhancement of epigenomics data with AtacWorks. Nat Commun 2021; 12:1507. [PMID: 33686069 PMCID: PMC7940635 DOI: 10.1038/s41467-021-21765-5] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Accepted: 02/03/2021] [Indexed: 12/21/2022] Open
Abstract
ATAC-seq is a widely-applied assay used to measure genome-wide chromatin accessibility; however, its ability to detect active regulatory regions can depend on the depth of sequencing coverage and the signal-to-noise ratio. Here we introduce AtacWorks, a deep learning toolkit to denoise sequencing coverage and identify regulatory peaks at base-pair resolution from low cell count, low-coverage, or low-quality ATAC-seq data. Models trained by AtacWorks can detect peaks from cell types not seen in the training data, and are generalizable across diverse sample preparations and experimental platforms. We demonstrate that AtacWorks enhances the sensitivity of single-cell experiments by producing results on par with those of conventional methods using ~10 times as many cells, and further show that this framework can be adapted to enable cross-modality inference of protein-DNA interactions. Finally, we establish that AtacWorks can enable new biological discoveries by identifying active regulatory regions associated with lineage priming in rare subpopulations of hematopoietic stem cells. ATAC-seq measures chromatin accessibility as a proxy for the activity of DNA regulatory regions across the genome. Here the authors present AtacWorks, a deep learning tool to denoise and identify accessible chromatin regions from low cell count, low-coverage, or low-quality ATAC-seq data.
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Affiliation(s)
| | - Zachary D Chiang
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
| | | | - Fabiana M Duarte
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
| | | | - Jason D Buenrostro
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA.
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20
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Payne AC, Chiang ZD, Reginato PL, Mangiameli SM, Murray EM, Yao CC, Markoulaki S, Earl AS, Labade AS, Jaenisch R, Church GM, Boyden ES, Buenrostro JD, Chen F. In situ genome sequencing resolves DNA sequence and structure in intact biological samples. Science 2021; 371:eaay3446. [PMID: 33384301 PMCID: PMC7962746 DOI: 10.1126/science.aay3446] [Citation(s) in RCA: 106] [Impact Index Per Article: 35.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2019] [Revised: 08/17/2020] [Accepted: 12/14/2020] [Indexed: 12/11/2022]
Abstract
Understanding genome organization requires integration of DNA sequence and three-dimensional spatial context; however, existing genome-wide methods lack either base pair sequence resolution or direct spatial localization. Here, we describe in situ genome sequencing (IGS), a method for simultaneously sequencing and imaging genomes within intact biological samples. We applied IGS to human fibroblasts and early mouse embryos, spatially localizing thousands of genomic loci in individual nuclei. Using these data, we characterized parent-specific changes in genome structure across embryonic stages, revealed single-cell chromatin domains in zygotes, and uncovered epigenetic memory of global chromosome positioning within individual embryos. These results demonstrate how IGS can directly connect sequence and structure across length scales from single base pairs to whole organisms.
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Affiliation(s)
- Andrew C Payne
- Media Arts and Sciences, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA
- Broad Institute of MIT and Harvard University, Cambridge, MA 02142, USA
| | - Zachary D Chiang
- Broad Institute of MIT and Harvard University, Cambridge, MA 02142, USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
| | - Paul L Reginato
- Media Arts and Sciences, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA
- Broad Institute of MIT and Harvard University, Cambridge, MA 02142, USA
- Department of Biological Engineering, MIT, Cambridge, MA, 02139, USA
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA 02115, USA
| | | | - Evan M Murray
- Broad Institute of MIT and Harvard University, Cambridge, MA 02142, USA
| | - Chun-Chen Yao
- Broad Institute of MIT and Harvard University, Cambridge, MA 02142, USA
- Department of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, USA
| | | | - Andrew S Earl
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
| | - Ajay S Labade
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
| | - Rudolf Jaenisch
- Whitehead Institute for Biomedical Research, Cambridge, MA 02139, USA
- Department of Biology, MIT, Cambridge, MA 02139, USA
| | - George M Church
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA 02115, USA
| | - Edward S Boyden
- Media Arts and Sciences, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA.
- Department of Biological Engineering, MIT, Cambridge, MA, 02139, USA
- Department of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, USA
- McGovern Institute, MIT, Cambridge, MA 02139, USA
- Koch Institute, MIT, Cambridge, MA 02139, USA
- Howard Hughes Medical Institute, Cambridge, MA 02139, USA
- Centers for Neurobiological Engineering and Extreme Bionics, MIT, Cambridge, MA 02139, USA
| | - Jason D Buenrostro
- Broad Institute of MIT and Harvard University, Cambridge, MA 02142, USA.
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
| | - Fei Chen
- Broad Institute of MIT and Harvard University, Cambridge, MA 02142, USA.
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
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21
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Affiliation(s)
- Lindsay M LaFave
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA.
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA.
| | - Jason D Buenrostro
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
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22
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Ma S, Zhang B, LaFave LM, Earl AS, Chiang Z, Hu Y, Ding J, Brack A, Kartha VK, Tay T, Law T, Lareau C, Hsu YC, Regev A, Buenrostro JD. Chromatin Potential Identified by Shared Single-Cell Profiling of RNA and Chromatin. Cell 2020; 183:1103-1116.e20. [PMID: 33098772 DOI: 10.1016/j.cell.2020.09.056] [Citation(s) in RCA: 419] [Impact Index Per Article: 104.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Revised: 07/22/2020] [Accepted: 09/21/2020] [Indexed: 01/15/2023]
Abstract
Cell differentiation and function are regulated across multiple layers of gene regulation, including modulation of gene expression by changes in chromatin accessibility. However, differentiation is an asynchronous process precluding a temporal understanding of regulatory events leading to cell fate commitment. Here we developed simultaneous high-throughput ATAC and RNA expression with sequencing (SHARE-seq), a highly scalable approach for measurement of chromatin accessibility and gene expression in the same single cell, applicable to different tissues. Using 34,774 joint profiles from mouse skin, we develop a computational strategy to identify cis-regulatory interactions and define domains of regulatory chromatin (DORCs) that significantly overlap with super-enhancers. During lineage commitment, chromatin accessibility at DORCs precedes gene expression, suggesting that changes in chromatin accessibility may prime cells for lineage commitment. We computationally infer chromatin potential as a quantitative measure of chromatin lineage-priming and use it to predict cell fate outcomes. SHARE-seq is an extensible platform to study regulatory circuitry across diverse cells in tissues.
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Affiliation(s)
- Sai Ma
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Biology and Koch Institute, Massachusetts Institute of Technology, Cambridge, MA 02142, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
| | - Bing Zhang
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
| | - Lindsay M LaFave
- Department of Biology and Koch Institute, Massachusetts Institute of Technology, Cambridge, MA 02142, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
| | - Andrew S Earl
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
| | - Zachary Chiang
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
| | - Yan Hu
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
| | - Jiarui Ding
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Alison Brack
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
| | - Vinay K Kartha
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
| | - Tristan Tay
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
| | - Travis Law
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Caleb Lareau
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
| | - Ya-Chieh Hsu
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
| | - Aviv Regev
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Biology and Koch Institute, Massachusetts Institute of Technology, Cambridge, MA 02142, USA; Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA.
| | - Jason D Buenrostro
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA.
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23
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Agbleke AA, Amitai A, Buenrostro JD, Chakrabarti A, Chu L, Hansen AS, Koenig KM, Labade AS, Liu S, Nozaki T, Ovchinnikov S, Seeber A, Shaban HA, Spille JH, Stephens AD, Su JH, Wadduwage D. Advances in Chromatin and Chromosome Research: Perspectives from Multiple Fields. Mol Cell 2020; 79:881-901. [PMID: 32768408 PMCID: PMC7888594 DOI: 10.1016/j.molcel.2020.07.003] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Revised: 06/12/2020] [Accepted: 07/06/2020] [Indexed: 12/12/2022]
Abstract
Nucleosomes package genomic DNA into chromatin. By regulating DNA access for transcription, replication, DNA repair, and epigenetic modification, chromatin forms the nexus of most nuclear processes. In addition, dynamic organization of chromatin underlies both regulation of gene expression and evolution of chromosomes into individualized sister objects, which can segregate cleanly to different daughter cells at anaphase. This collaborative review shines a spotlight on technologies that will be crucial to interrogate key questions in chromatin and chromosome biology including state-of-the-art microscopy techniques, tools to physically manipulate chromatin, single-cell methods to measure chromatin accessibility, computational imaging with neural networks and analytical tools to interpret chromatin structure and dynamics. In addition, this review provides perspectives on how these tools can be applied to specific research fields such as genome stability and developmental biology and to test concepts such as phase separation of chromatin.
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Affiliation(s)
| | - Assaf Amitai
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Jason D Buenrostro
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
| | - Aditi Chakrabarti
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA
| | - Lingluo Chu
- Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA 02138, USA
| | - Anders S Hansen
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Kristen M Koenig
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA; JHDSF Program, Harvard University, Cambridge, MA 02138, USA
| | - Ajay S Labade
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
| | - Sirui Liu
- FAS Division of Science, Harvard University, Cambridge, MA 02138, USA
| | - Tadasu Nozaki
- Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA 02138, USA
| | - Sergey Ovchinnikov
- JHDSF Program, Harvard University, Cambridge, MA 02138, USA; FAS Division of Science, Harvard University, Cambridge, MA 02138, USA
| | - Andrew Seeber
- JHDSF Program, Harvard University, Cambridge, MA 02138, USA; Center for Advanced Imaging, Harvard University, Cambridge, MA 02138, USA.
| | - Haitham A Shaban
- Center for Advanced Imaging, Harvard University, Cambridge, MA 02138, USA; Spectroscopy Department, Physics Division, National Research Centre, Dokki, 12622 Cairo, Egypt
| | - Jan-Hendrik Spille
- Department of Physics, University of Illinois at Chicago, Chicago, IL 60607, USA
| | - Andrew D Stephens
- Biology Department, University of Massachusetts, Amherst, Amherst, MA 01003, USA
| | - Jun-Han Su
- Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA 02138, USA
| | - Dushan Wadduwage
- JHDSF Program, Harvard University, Cambridge, MA 02138, USA; Center for Advanced Imaging, Harvard University, Cambridge, MA 02138, USA
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24
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Morse DB, Ceribelli M, De Jonghe J, Michalowski A, Muus C, Vias M, Boyle S, Weitz DA, Brenton J, Buenrostro JD, Thomas C, Knowles TP. Abstract 5879: Spatially-segmented single-cell transcriptomics by diffusional accessibility to a small-molecule dye. Cancer Res 2020. [DOI: 10.1158/1538-7445.am2020-5879] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
High-throughput single-cell RNA-seq (scRNA-seq) is used to describe complex tissues by characterizing transcriptional states of individual cells. Defining a cell's position, both in regard to tissue margins and its social context, is essential for understanding the intrinsic and extrinsic variables that effect the transcriptional identity of individual cells. Conventional high-throughput scRNA-seq assays, however, decouple cells from their original locations within tissues. In situ hybridization readouts of gene expression and in situ sequencing preserve spatial information in tissues, but currently have a lower total read threshold than NextGen sequencing – imposing a restriction on either cell throughput or transcriptional breadth. Combining the above methods or using regional barcodes to define 2D positions have spatially-reconstructed tissue regions but are seldom employed in unspecialized laboratories. We describe SEgmentation by Exogenous Perfusion (SEEP), a rapid, integrated, method for providing 3D spatial-segmentation to scRNA-seq data. Tissues are divided into layers based on accessibility of a fluorescent dye allowing sorted cells to be characterized by transcriptomic and regional identity. We use SEEP to explore how the transcriptional states of cells in high-grade serous ovarian cancer vary with respect to intratumoral position. We describe an integrated method for correlating 3D radial-spatial cell positions with scRNA-seq data. By employing a basic stain-and-sort method using an off-the-shelf live-dead stain, we are able to correlate transcriptional profiles with radial-spatial positions in both radially symmetric tissues (e.g., spheroids, organoids, spherical tumor masses) and linear tissue samples (e.g., punch biopsies). SEEP uses an imaging-based calibration step to inform the parameters of a FACS and sequencing based measurement step. Across spheroid, organoid, and PDX models of high-grade serous ovarian cancer, we find common positional transcriptomic profiles, ranging from single-gene proclivities to multi-gene-set enrichments across tissue layers.
Citation Format: David B. Morse, Michele Ceribelli, Joachim De Jonghe, Aleksandra Michalowski, Christoph Muus, Maria Vias, Samantha Boyle, David A. Weitz, James Brenton, Jason D. Buenrostro, Craig Thomas, Tuomas P. Knowles. Spatially-segmented single-cell transcriptomics by diffusional accessibility to a small-molecule dye [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 5879.
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Affiliation(s)
| | | | | | | | | | - Maria Vias
- 1University of Cambirdge, Cambridge, United Kingdom
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25
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LaFave LM, Kartha VK, Ma S, Meli K, Del Priore I, Lareau C, Naranjo S, Westcott PMK, Duarte FM, Sankar V, Chiang Z, Brack A, Law T, Hauck H, Okimoto A, Regev A, Buenrostro JD, Jacks T. Epigenomic State Transitions Characterize Tumor Progression in Mouse Lung Adenocarcinoma. Cancer Cell 2020; 38:212-228.e13. [PMID: 32707078 PMCID: PMC7641015 DOI: 10.1016/j.ccell.2020.06.006] [Citation(s) in RCA: 112] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2019] [Revised: 02/20/2020] [Accepted: 06/12/2020] [Indexed: 12/14/2022]
Abstract
Regulatory networks that maintain functional, differentiated cell states are often dysregulated in tumor development. Here, we use single-cell epigenomics to profile chromatin state transitions in a mouse model of lung adenocarcinoma (LUAD). We identify an epigenomic continuum representing loss of cellular identity and progression toward a metastatic state. We define co-accessible regulatory programs and infer key activating and repressive chromatin regulators of these cell states. Among these co-accessibility programs, we identify a pre-metastatic transition, characterized by activation of RUNX transcription factors, which mediates extracellular matrix remodeling to promote metastasis and is predictive of survival across human LUAD patients. Together, these results demonstrate the power of single-cell epigenomics to identify regulatory programs to uncover mechanisms and key biomarkers of tumor progression.
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Affiliation(s)
- Lindsay M LaFave
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142, USA; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02142, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
| | - Vinay K Kartha
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
| | - Sai Ma
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02142, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
| | - Kevin Meli
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142, USA; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
| | - Isabella Del Priore
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142, USA; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
| | - Caleb Lareau
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
| | - Santiago Naranjo
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142, USA; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
| | - Peter M K Westcott
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142, USA; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
| | - Fabiana M Duarte
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
| | - Venkat Sankar
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02142, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
| | - Zachary Chiang
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
| | - Alison Brack
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
| | - Travis Law
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Haley Hauck
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142, USA; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
| | - Annalisa Okimoto
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142, USA; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
| | - Aviv Regev
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02142, USA; Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
| | - Jason D Buenrostro
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA.
| | - Tyler Jacks
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142, USA; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02142, USA; Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA 02142, USA.
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26
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Sarikhani M, Garbern JC, Ma S, Sereda R, Conde J, Krähenbühl G, Escalante GO, Ahmed A, Buenrostro JD, Lee RT. Sustained Activation of AMPK Enhances Differentiation of Human iPSC-Derived Cardiomyocytes via Sirtuin Activation. Stem Cell Reports 2020; 15:498-514. [PMID: 32649901 PMCID: PMC7419706 DOI: 10.1016/j.stemcr.2020.06.012] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Revised: 06/11/2020] [Accepted: 06/12/2020] [Indexed: 12/18/2022] Open
Abstract
Recent studies suggest that metabolic regulation may improve differentiation of cardiomyocytes derived from induced pluripotent stem cells (iPSCs). AMP-activated protein kinase (AMPK) is a master regulator of metabolic activities. We investigated whether AMPK participates in iPSC-derived cardiomyocyte differentiation. We observed that AMPK phosphorylation at Thr172 increased at day 9 but then decreased after day 11 of differentiation to cardiomyocytes. Inhibition of AMPK with compound C significantly reduced mRNA and protein expression of cardiac troponins TNNT2 and TNNI3. Moreover, sustained AMPK activation using AICAR from days 9 to 14 of differentiation increased mRNA and protein expression of both TNNT2 and TNNI3. AICAR decreased acetylation of histone 3 at Lys9 and 56 and histone 4 at Lys16 (known target sites for nuclear-localized sirtuins [SIRT1, SIRT6]), suggesting that AMPK activation enhances sirtuin activity. Sustained AMPK activation during days 9–14 of differentiation induces sirtuin-mediated histone deacetylation and may enhance cardiomyocyte differentiation from iPSCs. iPSC-derived cardiomyocytes transiently increased AMPK phosphorylation at Thr172 Chemical inhibition of AMPK with compound C decreased TNNI3 and TNNT2 expression Sustained activation of AMPK using AICAR increased expression of TNNT2 and TNNI3 AICAR decreased acetylation of histones H3 (at Lys9 and Lys56) and H4 (at Lys16).
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Affiliation(s)
- Mohsen Sarikhani
- Department of Stem Cell and Regenerative Biology and the Harvard Stem Cell Institute, Harvard University, 7 Divinity Avenue, Cambridge, MA 02138, USA
| | - Jessica C Garbern
- Department of Stem Cell and Regenerative Biology and the Harvard Stem Cell Institute, Harvard University, 7 Divinity Avenue, Cambridge, MA 02138, USA; Department of Cardiology, Boston Children's Hospital, Boston, MA, USA
| | - Sai Ma
- Department of Stem Cell and Regenerative Biology and the Harvard Stem Cell Institute, Harvard University, 7 Divinity Avenue, Cambridge, MA 02138, USA; Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Biology and Koch Institute, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Rebecca Sereda
- Department of Stem Cell and Regenerative Biology and the Harvard Stem Cell Institute, Harvard University, 7 Divinity Avenue, Cambridge, MA 02138, USA
| | - Jeffrey Conde
- Department of Stem Cell and Regenerative Biology and the Harvard Stem Cell Institute, Harvard University, 7 Divinity Avenue, Cambridge, MA 02138, USA
| | - Guido Krähenbühl
- Department of Stem Cell and Regenerative Biology and the Harvard Stem Cell Institute, Harvard University, 7 Divinity Avenue, Cambridge, MA 02138, USA
| | - Gabriela O Escalante
- Department of Stem Cell and Regenerative Biology and the Harvard Stem Cell Institute, Harvard University, 7 Divinity Avenue, Cambridge, MA 02138, USA
| | - Aishah Ahmed
- Department of Stem Cell and Regenerative Biology and the Harvard Stem Cell Institute, Harvard University, 7 Divinity Avenue, Cambridge, MA 02138, USA
| | - Jason D Buenrostro
- Department of Stem Cell and Regenerative Biology and the Harvard Stem Cell Institute, Harvard University, 7 Divinity Avenue, Cambridge, MA 02138, USA
| | - Richard T Lee
- Department of Stem Cell and Regenerative Biology and the Harvard Stem Cell Institute, Harvard University, 7 Divinity Avenue, Cambridge, MA 02138, USA; Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
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27
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LaFave LM, Kartha V, Ma S, Meli K, Priore ID, Lareau C, Sanker V, Naranjo S, Westcott P, Chiang Z, Brack A, Law T, Regev A, Buenrostro JD, Jacks T. Abstract PR08: Leveraging single-cell epigenomics to uncover regulatory programs in lung adenocarcinoma. Cancer Res 2020. [DOI: 10.1158/1538-7445.camodels2020-pr08] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
A hallmark of cancer development is the loss of cellular identity due to the dysregulation of regulatory networks that maintain functional, differentiated states. Chromatin state has been linked to this control of cellular identity and developmental processes; however, the mechanisms by which these regulatory landscapes are disrupted during cancer progression are not well understood. To this end, we leveraged an optimized single-cell ATAC-sequencing (scATAC-seq) strategy using a combinatorial indexing-based technology to assess chromatin state changes that occur in a mouse model of lung adenocarcinoma (LUAD). We utilized a well-established LUAD mouse model in which mice conditionally express the KrasG12D mutation and lose p53 expression in alveolar type II cells following Cre-mediated recombination, termed the KP model. In this model, KP tumors progress from early-stage hyperplasias to metastatic, advanced adenocarcinomas without acquiring additional somatic mutations, suggesting that these phenotypic transitions may be driven in part by epigenetic mechanisms. Using scATAC-seq, we profiled 16,044 normal lung, primary KP tumor, and metastatic cells to assess chromatin state changes across LUAD progression. We found that LUAD tumor evolution was characterized by a heterogeneous epigenomic continuum that was associated with loss of alveolar identity and progression to metastasis. Interestingly, we identified a reproducible metastatic state that was homogeneous, suggesting that cancer cells funnel towards a stable epigenetic state. In addition, we utilized novel computational tools to assess combinatorial transcription factor (TF)-driven programs that delineate stages of cancer progression in the KP model. From these analyses, we identified a clear transition point that corresponded to progressive gain of RUNX2 transcription factor activity. Using CRISPR activation and knockout strategies, we found that RUNX2 regulated the chromatin accessibility of several regulatory programs involved in extracellular matrix remodeling, suggesting that RUNX2 signaling is a critical event in LUAD progression and metastasis. In addition, gene signatures derived from this RUNX-activated state were highly predictive of survival in human LUAD. Together, these results demonstrated the power of single-cell epigenomics to identify TF-driven regulatory programs as key biomarkers of tumor progression.
This abstract is also being presented as Poster A40.
Citation Format: Lindsay M. LaFave, Vinay Kartha, Sai Ma, Kevin Meli, Isabella Del Priore, Caleb Lareau, Venkat Sanker, Santiago Naranjo, Peter Westcott, Zachary Chiang, Alison Brack, Travis Law, Aviv Regev, Jason D Buenrostro, Tyler Jacks. Leveraging single-cell epigenomics to uncover regulatory programs in lung adenocarcinoma [abstract]. In: Proceedings of the AACR Special Conference on the Evolving Landscape of Cancer Modeling; 2020 Mar 2-5; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2020;80(11 Suppl):Abstract nr PR08.
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Affiliation(s)
- Lindsay M. LaFave
- 1Massachusetts Institute of Technology and Harvard University, Cambridge, MA,
| | | | - Sai Ma
- 3Harvard University and Broad Institute, Cambridge, MA,
| | - Kevin Meli
- 4Massachusetts Institute of Technology, Cambridge, MA,
| | | | - Caleb Lareau
- 3Harvard University and Broad Institute, Cambridge, MA,
| | - Venkat Sanker
- 4Massachusetts Institute of Technology, Cambridge, MA,
| | | | | | | | | | | | | | | | - Tyler Jacks
- 4Massachusetts Institute of Technology, Cambridge, MA,
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28
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Abstract
A widespread assumption for single-cell analyses specifies that one cell's nucleic acids are predominantly captured by one oligonucleotide barcode. Here, we show that ~13-21% of cell barcodes from the 10x Chromium scATAC-seq assay may have been derived from a droplet with more than one oligonucleotide sequence, which we call "barcode multiplets". We demonstrate that barcode multiplets can be derived from at least two different sources. First, we confirm that approximately 4% of droplets from the 10x platform may contain multiple beads. Additionally, we find that approximately 5% of beads may contain detectable levels of multiple oligonucleotide barcodes. We show that this artifact can confound single-cell analyses, including the interpretation of clonal diversity and proliferation of intra-tumor lymphocytes. Overall, our work provides a conceptual and computational framework to identify and assess the impacts of barcode multiplets in single-cell data.
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Affiliation(s)
- Caleb A Lareau
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.
- Division of Medical Sciences, Harvard Medical School, Boston, MA, 02115, USA.
| | - Sai Ma
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, 02142, USA
| | - Fabiana M Duarte
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Jason D Buenrostro
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.
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29
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Zhang B, Ma S, Rachmin I, He M, Baral P, Choi S, Gonçalves WA, Shwartz Y, Fast EM, Su Y, Zon LI, Regev A, Buenrostro JD, Cunha TM, Chiu IM, Fisher DE, Hsu YC. Hyperactivation of sympathetic nerves drives depletion of melanocyte stem cells. Nature 2020; 577:676-681. [PMID: 31969699 PMCID: PMC7184936 DOI: 10.1038/s41586-020-1935-3] [Citation(s) in RCA: 144] [Impact Index Per Article: 36.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2019] [Accepted: 12/13/2019] [Indexed: 01/24/2023]
Abstract
Empirical and anecdotal evidence have associated stress with accelerated hair greying (formation of unpigmented hairs)1,2, but the scientific evidence linking the two is scant. Here, we report that acute stress leads to hair greying through fast depletion of melanocyte stem cells (MeSCs). Combining adrenalectomy, denervation, chemogenetics3,4, cell ablation, and MeSC-specific adrenergic receptor knockout, we found that stress-induced MeSC loss is independent of immune attack or adrenal stress hormones. Rather, hair greying results from activation of the sympathetic nerves that innervate the MeSC niche. Upon stress, sympathetic nerve activation leads to burst release of the neurotransmitter norepinephrine, which drives quiescent MeSCs into rapid proliferation, followed by differentiation, migration, and permanent depletion from the niche. Transient suppression of MeSC proliferation prevents stress-induced hair greying. Our studies demonstrate that acute stress-induced neuronal activity can drive rapid and permanent loss of somatic stem cells, and illustrate an example in which somatic stem cell maintenance is directly influenced by the overall physiological state of the organism.
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Affiliation(s)
- Bing Zhang
- Department of Stem Cell and Regenerative Biology, Harvard University and Harvard Stem Cell Institute, Cambridge, MA, USA
| | - Sai Ma
- Department of Stem Cell and Regenerative Biology, Harvard University and Harvard Stem Cell Institute, Cambridge, MA, USA.,Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Department of Biology and Koch Institute, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Inbal Rachmin
- Cutaneous Biology Research Center, Department of Dermatology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Megan He
- Department of Stem Cell and Regenerative Biology, Harvard University and Harvard Stem Cell Institute, Cambridge, MA, USA.,Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA
| | - Pankaj Baral
- Department of Immunology, Harvard Medical School, Boston, MA, USA
| | - Sekyu Choi
- Department of Stem Cell and Regenerative Biology, Harvard University and Harvard Stem Cell Institute, Cambridge, MA, USA
| | - William A Gonçalves
- Institute of Biological Science, Federal University of Minas Gerais, Belo Horizonte, Brazil
| | - Yulia Shwartz
- Department of Stem Cell and Regenerative Biology, Harvard University and Harvard Stem Cell Institute, Cambridge, MA, USA
| | - Eva M Fast
- Department of Stem Cell and Regenerative Biology, Harvard University and Harvard Stem Cell Institute, Cambridge, MA, USA.,Stem Cell Program and Division of Hematology/Oncology, Boston Children's Hospital and Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Yiqun Su
- Cutaneous Biology Research Center, Department of Dermatology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Leonard I Zon
- Department of Stem Cell and Regenerative Biology, Harvard University and Harvard Stem Cell Institute, Cambridge, MA, USA.,Stem Cell Program and Division of Hematology/Oncology, Boston Children's Hospital and Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.,Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - Aviv Regev
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Department of Biology and Koch Institute, Massachusetts Institute of Technology, Cambridge, MA, USA.,Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - Jason D Buenrostro
- Department of Stem Cell and Regenerative Biology, Harvard University and Harvard Stem Cell Institute, Cambridge, MA, USA
| | - Thiago M Cunha
- Department of Immunology, Harvard Medical School, Boston, MA, USA.,Center for Research in Inflammatory Diseases (CRID), Department of Pharmacology, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil
| | - Isaac M Chiu
- Department of Immunology, Harvard Medical School, Boston, MA, USA
| | - David E Fisher
- Cutaneous Biology Research Center, Department of Dermatology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Ya-Chieh Hsu
- Department of Stem Cell and Regenerative Biology, Harvard University and Harvard Stem Cell Institute, Cambridge, MA, USA.
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30
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Chen H, Lareau C, Andreani T, Vinyard ME, Garcia SP, Clement K, Andrade-Navarro MA, Buenrostro JD, Pinello L. Assessment of computational methods for the analysis of single-cell ATAC-seq data. Genome Biol 2019; 20:241. [PMID: 31739806 PMCID: PMC6859644 DOI: 10.1186/s13059-019-1854-5] [Citation(s) in RCA: 155] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2019] [Accepted: 10/03/2019] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Recent innovations in single-cell Assay for Transposase Accessible Chromatin using sequencing (scATAC-seq) enable profiling of the epigenetic landscape of thousands of individual cells. scATAC-seq data analysis presents unique methodological challenges. scATAC-seq experiments sample DNA, which, due to low copy numbers (diploid in humans), lead to inherent data sparsity (1-10% of peaks detected per cell) compared to transcriptomic (scRNA-seq) data (10-45% of expressed genes detected per cell). Such challenges in data generation emphasize the need for informative features to assess cell heterogeneity at the chromatin level. RESULTS We present a benchmarking framework that is applied to 10 computational methods for scATAC-seq on 13 synthetic and real datasets from different assays, profiling cell types from diverse tissues and organisms. Methods for processing and featurizing scATAC-seq data were compared by their ability to discriminate cell types when combined with common unsupervised clustering approaches. We rank evaluated methods and discuss computational challenges associated with scATAC-seq analysis including inherently sparse data, determination of features, peak calling, the effects of sequencing coverage and noise, and clustering performance. Running times and memory requirements are also discussed. CONCLUSIONS This reference summary of scATAC-seq methods offers recommendations for best practices with consideration for both the non-expert user and the methods developer. Despite variation across methods and datasets, SnapATAC, Cusanovich2018, and cisTopic outperform other methods in separating cell populations of different coverages and noise levels in both synthetic and real datasets. Notably, SnapATAC is the only method able to analyze a large dataset (> 80,000 cells).
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Affiliation(s)
- Huidong Chen
- Molecular Pathology Unit, Massachusetts General Hospital Research Institute, Charlestown, MA, 02129, USA
- Center for Cancer Research, Massachusetts General Hospital, Charlestown, MA, 02129, USA
- Department of Pathology, Harvard Medical School, Boston, MA, 02115, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, 02142, USA
| | - Caleb Lareau
- Molecular Pathology Unit, Massachusetts General Hospital Research Institute, Charlestown, MA, 02129, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, 02142, USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138, USA
| | - Tommaso Andreani
- Molecular Pathology Unit, Massachusetts General Hospital Research Institute, Charlestown, MA, 02129, USA
- Center for Cancer Research, Massachusetts General Hospital, Charlestown, MA, 02129, USA
- Department of Pathology, Harvard Medical School, Boston, MA, 02115, USA
- Faculty of Biology, Computational Biology and Data Mining Lab, Johannes Gutenberg University of Mainz, 55128, Mainz, Germany
| | - Michael E Vinyard
- Molecular Pathology Unit, Massachusetts General Hospital Research Institute, Charlestown, MA, 02129, USA
- Center for Cancer Research, Massachusetts General Hospital, Charlestown, MA, 02129, USA
- Department of Pathology, Harvard Medical School, Boston, MA, 02115, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, 02142, USA
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, 02142, USA
| | - Sara P Garcia
- Molecular Pathology Unit, Massachusetts General Hospital Research Institute, Charlestown, MA, 02129, USA
| | - Kendell Clement
- Molecular Pathology Unit, Massachusetts General Hospital Research Institute, Charlestown, MA, 02129, USA
- Center for Cancer Research, Massachusetts General Hospital, Charlestown, MA, 02129, USA
- Department of Pathology, Harvard Medical School, Boston, MA, 02115, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, 02142, USA
| | - Miguel A Andrade-Navarro
- Faculty of Biology, Computational Biology and Data Mining Lab, Johannes Gutenberg University of Mainz, 55128, Mainz, Germany
| | - Jason D Buenrostro
- Broad Institute of Harvard and MIT, Cambridge, MA, 02142, USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138, USA
| | - Luca Pinello
- Molecular Pathology Unit, Massachusetts General Hospital Research Institute, Charlestown, MA, 02129, USA.
- Center for Cancer Research, Massachusetts General Hospital, Charlestown, MA, 02129, USA.
- Department of Pathology, Harvard Medical School, Boston, MA, 02115, USA.
- Broad Institute of Harvard and MIT, Cambridge, MA, 02142, USA.
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31
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Chen H, Albergante L, Hsu JY, Lareau CA, Lo Bosco G, Guan J, Zhou S, Gorban AN, Bauer DE, Aryee MJ, Langenau DM, Zinovyev A, Buenrostro JD, Yuan GC, Pinello L. Single-cell trajectories reconstruction, exploration and mapping of omics data with STREAM. Nat Commun 2019; 10:1903. [PMID: 31015418 PMCID: PMC6478907 DOI: 10.1038/s41467-019-09670-4] [Citation(s) in RCA: 126] [Impact Index Per Article: 25.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2018] [Accepted: 03/22/2019] [Indexed: 12/14/2022] Open
Abstract
Single-cell transcriptomic assays have enabled the de novo reconstruction of lineage differentiation trajectories, along with the characterization of cellular heterogeneity and state transitions. Several methods have been developed for reconstructing developmental trajectories from single-cell transcriptomic data, but efforts on analyzing single-cell epigenomic data and on trajectory visualization remain limited. Here we present STREAM, an interactive pipeline capable of disentangling and visualizing complex branching trajectories from both single-cell transcriptomic and epigenomic data. We have tested STREAM on several synthetic and real datasets generated with different single-cell technologies. We further demonstrate its utility for understanding myoblast differentiation and disentangling known heterogeneity in hematopoiesis for different organisms. STREAM is an open-source software package.
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Affiliation(s)
- Huidong Chen
- Molecular Pathology Unit & Cancer Center, Massachusetts General Hospital Research Institute and Harvard Medical School, Boston, MA, 02114, USA
- Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, 02215, USA
- Department of Computer Science and Technology, Tongji University, 201804, Shanghai, China
| | - Luca Albergante
- Institut Curie, PSL Research University, F-75005, Paris, France
- INSERM, U900, F-75005, Paris, France
- MINES ParisTech, PSL Research University, CBIO-Centre for Computational Biology, F-75006, Paris, France
| | - Jonathan Y Hsu
- Molecular Pathology Unit & Cancer Center, Massachusetts General Hospital Research Institute and Harvard Medical School, Boston, MA, 02114, USA
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Caleb A Lareau
- Molecular Pathology Unit & Cancer Center, Massachusetts General Hospital Research Institute and Harvard Medical School, Boston, MA, 02114, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Giosuè Lo Bosco
- Department of Mathematics and Computer Science, University of Palermo, 90123, Palermo, Italy
- Department of Sciences for technological innovation, Euro-Mediterranean Institute of Science and Technology, 90139, Palermo, Italy
| | - Jihong Guan
- Department of Computer Science and Technology, Tongji University, 201804, Shanghai, China
| | - Shuigeng Zhou
- Shanghai Key Lab of Intelligent Information Processing, and School of Computer Science, Fudan University, 200433, Shanghai, China
| | - Alexander N Gorban
- Department of Mathematics, University of Leicester, University Road, Leicester, LE1 7RH, UK
- Lobachevsky University, Nizhni Novgorod, 603022, Russia
| | - Daniel E Bauer
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
- Division of Hematology/Oncology, Boston Children's Hospital, Department of Pediatric Oncology, Dana-Farber Cancer Institute, Department of Pediatrics, Harvard Medical School, Boston, MA, 02215, USA
| | - Martin J Aryee
- Molecular Pathology Unit & Cancer Center, Massachusetts General Hospital Research Institute and Harvard Medical School, Boston, MA, 02114, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, 02215, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - David M Langenau
- Molecular Pathology Unit & Cancer Center, Massachusetts General Hospital Research Institute and Harvard Medical School, Boston, MA, 02114, USA
- Harvard Stem Cell Institute, Cambridge, MA, 02138, USA
| | - Andrei Zinovyev
- Institut Curie, PSL Research University, F-75005, Paris, France
- INSERM, U900, F-75005, Paris, France
- MINES ParisTech, PSL Research University, CBIO-Centre for Computational Biology, F-75006, Paris, France
- Lobachevsky University, Nizhni Novgorod, 603022, Russia
| | - Jason D Buenrostro
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
- Harvard Society of Fellows, Harvard University, Cambridge, MA, 02138, USA
| | - Guo-Cheng Yuan
- Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, 02215, USA.
- Harvard Stem Cell Institute, Cambridge, MA, 02138, USA.
| | - Luca Pinello
- Molecular Pathology Unit & Cancer Center, Massachusetts General Hospital Research Institute and Harvard Medical School, Boston, MA, 02114, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.
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32
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Ulirsch JC, Lareau CA, Bao EL, Ludwig LS, Guo MH, Benner C, Satpathy AT, Kartha VK, Salem RM, Hirschhorn JN, Finucane HK, Aryee MJ, Buenrostro JD, Sankaran VG. Interrogation of human hematopoiesis at single-cell and single-variant resolution. Nat Genet 2019; 51:683-693. [PMID: 30858613 PMCID: PMC6441389 DOI: 10.1038/s41588-019-0362-6] [Citation(s) in RCA: 105] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2018] [Accepted: 01/28/2019] [Indexed: 11/16/2022]
Abstract
Widespread linkage disequilibrium and incomplete annotation of cell-to-cell state variation represent substantial challenges to elucidating mechanisms of trait-associated genetic variation. Here, we perform genetic fine-mapping for blood cell traits in the UK Biobank to identify putative causal variants. These variants are enriched in genes encoding for proteins in trait-relevant biological pathways and in accessible chromatin of hematopoietic progenitors. For regulatory variants, we explore patterns of developmental enhancer activity, predict molecular mechanisms, and identify likely target genes. In several instances, we localize multiple independent variants to the same regulatory element or gene. We further observe that variants with pleiotropic effects preferentially act in common progenitor populations to direct the production of distinct lineages. Finally, we leverage fine-mapped variants in conjunction with continuous epigenomic annotations to identify trait-cell type enrichments within closely related populations and in single cells. Our study provides a comprehensive framework for single-variant and single-cell analyses of genetic associations. Fine mapping of blood cell traits in UK Biobank identifies putative causal variants and enrichment of fine-mapped variants in accessible chromatin of hematopoietic progenitor cells. The study provides an analytical framework for single-variant and single-cell analyses of genetic associations.
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Affiliation(s)
- Jacob C Ulirsch
- Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.,Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.,Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Program in Biological and Biomedical Sciences, Harvard Medical School, Boston, MA, USA
| | - Caleb A Lareau
- Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.,Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.,Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Program in Biological and Biomedical Sciences, Harvard Medical School, Boston, MA, USA.,Department of Pathology, Massachusetts General Hospital, Boston, MA, USA
| | - Erik L Bao
- Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.,Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.,Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Harvard-MIT Health Sciences and Technology, Harvard Medical School, Boston, MA, USA
| | - Leif S Ludwig
- Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.,Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.,Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Michael H Guo
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Division of Endocrinology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.,Department of Genetics, Harvard Medical School, Boston, MA, USA.,Center for Basic and Translational Obesity Research, Boston Children's Hospital, Boston, MA, USA
| | - Christian Benner
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland.,Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Ansuman T Satpathy
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Vinay K Kartha
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
| | - Rany M Salem
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Division of Endocrinology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.,Department of Genetics, Harvard Medical School, Boston, MA, USA.,Center for Basic and Translational Obesity Research, Boston Children's Hospital, Boston, MA, USA
| | - Joel N Hirschhorn
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Division of Endocrinology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.,Department of Genetics, Harvard Medical School, Boston, MA, USA.,Center for Basic and Translational Obesity Research, Boston Children's Hospital, Boston, MA, USA
| | - Hilary K Finucane
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Schmidt Fellows Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Martin J Aryee
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Department of Pathology, Massachusetts General Hospital, Boston, MA, USA.,Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jason D Buenrostro
- Broad Institute of MIT and Harvard, Cambridge, MA, USA. .,Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA.
| | - Vijay G Sankaran
- Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA. .,Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA. .,Broad Institute of MIT and Harvard, Cambridge, MA, USA. .,Harvard Stem Cell Institute, Cambridge, MA, USA.
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33
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Yoshida H, Lareau CA, Ramirez RN, Rose SA, Maier B, Wroblewska A, Desland F, Chudnovskiy A, Mortha A, Dominguez C, Tellier J, Kim E, Dwyer D, Shinton S, Nabekura T, Qi Y, Yu B, Robinette M, Kim KW, Wagers A, Rhoads A, Nutt SL, Brown BD, Mostafavi S, Buenrostro JD, Benoist C. The cis-Regulatory Atlas of the Mouse Immune System. Cell 2019; 176:897-912.e20. [PMID: 30686579 PMCID: PMC6785993 DOI: 10.1016/j.cell.2018.12.036] [Citation(s) in RCA: 236] [Impact Index Per Article: 47.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2018] [Revised: 10/26/2018] [Accepted: 12/20/2018] [Indexed: 01/08/2023]
Abstract
A complete chart of cis-regulatory elements and their dynamic activity is necessary to understand the transcriptional basis of differentiation and function of an organ system. We generated matched epigenome and transcriptome measurements in 86 primary cell types that span the mouse immune system and its differentiation cascades. This breadth of data enable variance components analysis that suggests that genes fall into two distinct classes, controlled by either enhancer- or promoter-driven logic, and multiple regression that connects genes to the enhancers that regulate them. Relating transcription factor (TF) expression to the genome-wide accessibility of their binding motifs classifies them as predominantly openers or closers of local chromatin accessibility, pinpointing specific cis-regulatory elements where binding of given TFs is likely functionally relevant, validated by chromatin immunoprecipitation sequencing (ChIP-seq). Overall, this cis-regulatory atlas provides a trove of information on transcriptional regulation through immune differentiation and a foundational scaffold to define key regulatory events throughout the immunological genome.
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Affiliation(s)
- Hideyuki Yoshida
- Department of Immunology, Harvard Medical School, Boston, MA, USA; YCI Laboratory for Immunological Transcriptomics, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan
| | | | | | - Samuel A Rose
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Barbara Maier
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Aleksandra Wroblewska
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Fiona Desland
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Aleksey Chudnovskiy
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Arthur Mortha
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Julie Tellier
- The Walter and Eliza Hall Institute and Department of Medical Biology, Melbourne University, Parkville, VIC, Australia
| | - Edy Kim
- Division of Rheumatology, Immunology and Allergy, Brigham and Women's Hospital, Boston, MA, USA
| | - Dan Dwyer
- Division of Rheumatology, Immunology and Allergy, Brigham and Women's Hospital, Boston, MA, USA
| | | | - Tsukasa Nabekura
- Department of Microbiology and Immunology, UCSF, San Francisco, CA, USA
| | - YiLin Qi
- Department of Pathology, University of Massachusetts Medical School, Worcester, MA, USA
| | - Bingfei Yu
- Department of Biological Sciences, UCSD, La Jolla, CA, USA
| | - Michelle Robinette
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA
| | - Ki-Wook Kim
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA
| | - Amy Wagers
- Joslin Diabetes Center, Boston, MA, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA USA
| | - Andrew Rhoads
- Department of Immunology, Harvard Medical School, Boston, MA, USA
| | - Stephen L Nutt
- The Walter and Eliza Hall Institute and Department of Medical Biology, Melbourne University, Parkville, VIC, Australia
| | - Brian D Brown
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sara Mostafavi
- Department of Statistics and Department Medical Genetics, University of British Columbia, Vancouver, BC, Canada.
| | - Jason D Buenrostro
- Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA USA.
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34
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Mor N, Rais Y, Sheban D, Peles S, Aguilera-Castrejon A, Zviran A, Elinger D, Viukov S, Geula S, Krupalnik V, Zerbib M, Chomsky E, Lasman L, Shani T, Bayerl J, Gafni O, Hanna S, Buenrostro JD, Hagai T, Masika H, Vainorius G, Bergman Y, Greenleaf WJ, Esteban MA, Elling U, Levin Y, Massarwa R, Merbl Y, Novershtern N, Hanna JH. Neutralizing Gatad2a-Chd4-Mbd3/NuRD Complex Facilitates Deterministic Induction of Naive Pluripotency. Cell Stem Cell 2018; 23:412-425.e10. [PMID: 30122475 DOI: 10.1016/j.stem.2018.07.004] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2018] [Revised: 06/19/2018] [Accepted: 07/10/2018] [Indexed: 01/08/2023]
Abstract
Mbd3, a member of nucleosome remodeling and deacetylase (NuRD) co-repressor complex, was previously identified as an inhibitor for deterministic induced pluripotent stem cell (iPSC) reprogramming, where up to 100% of donor cells successfully complete the process. NuRD can assume multiple mutually exclusive conformations, and it remains unclear whether this deterministic phenotype can be attributed to a specific Mbd3/NuRD subcomplex. Moreover, since complete ablation of Mbd3 blocks somatic cell proliferation, we aimed to explore functionally relevant alternative ways to neutralize Mbd3-dependent NuRD activity. We identify Gatad2a, a NuRD-specific subunit, whose complete deletion specifically disrupts Mbd3/NuRD repressive activity on the pluripotency circuitry during iPSC differentiation and reprogramming without ablating somatic cell proliferation. Inhibition of Gatad2a facilitates deterministic murine iPSC reprogramming within 8 days. We validate a distinct molecular axis, Gatad2a-Chd4-Mbd3, within Mbd3/NuRD as being critical for blocking reestablishment of naive pluripotency and further highlight signaling-dependent and post-translational modifications of Mbd3/NuRD that influence its interactions and assembly.
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Affiliation(s)
- Nofar Mor
- Department of Molecular Genetics, Weizmann Institute of Science, 234 Herzl, Rehovot 76100, Israel
| | - Yoach Rais
- Department of Molecular Genetics, Weizmann Institute of Science, 234 Herzl, Rehovot 76100, Israel.
| | - Daoud Sheban
- Department of Molecular Genetics, Weizmann Institute of Science, 234 Herzl, Rehovot 76100, Israel; Department of Immunology, Weizmann Institute of Science, Rehovot, Israel
| | - Shani Peles
- Department of Molecular Genetics, Weizmann Institute of Science, 234 Herzl, Rehovot 76100, Israel
| | | | - Asaf Zviran
- Department of Molecular Genetics, Weizmann Institute of Science, 234 Herzl, Rehovot 76100, Israel; New York Genome Center, New York, NY, USA
| | - Dalia Elinger
- The Nancy and Stephen Grand Israel National Center for Personalized Medicine, Weizmann Institute of Science, Rehovot, Israel
| | - Sergey Viukov
- Department of Molecular Genetics, Weizmann Institute of Science, 234 Herzl, Rehovot 76100, Israel
| | - Shay Geula
- Department of Molecular Genetics, Weizmann Institute of Science, 234 Herzl, Rehovot 76100, Israel
| | - Vladislav Krupalnik
- Department of Molecular Genetics, Weizmann Institute of Science, 234 Herzl, Rehovot 76100, Israel
| | - Mirie Zerbib
- Department of Molecular Genetics, Weizmann Institute of Science, 234 Herzl, Rehovot 76100, Israel
| | - Elad Chomsky
- Department of Biological Regulation, Weizmann Institute of Science, Rehovot, Israel
| | - Lior Lasman
- Department of Molecular Genetics, Weizmann Institute of Science, 234 Herzl, Rehovot 76100, Israel
| | - Tom Shani
- Department of Molecular Genetics, Weizmann Institute of Science, 234 Herzl, Rehovot 76100, Israel
| | - Jonathan Bayerl
- Department of Molecular Genetics, Weizmann Institute of Science, 234 Herzl, Rehovot 76100, Israel
| | - Ohad Gafni
- Department of Molecular Genetics, Weizmann Institute of Science, 234 Herzl, Rehovot 76100, Israel
| | - Suhair Hanna
- Department of Pediatrics, Rambam Health Care Campus, Haifa, Israel
| | - Jason D Buenrostro
- Broad Institute of MIT and Harvard, Cambridge, MA, USA; Harvard Society of Fellows, Harvard University, Cambridge, MA, USA
| | - Tzachi Hagai
- EMBL-European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, UK
| | - Hagit Masika
- Department of Developmental Biology and Cancer Research, Hebrew University, Jerusalem, Israel
| | | | - Yehudit Bergman
- Department of Developmental Biology and Cancer Research, Hebrew University, Jerusalem, Israel
| | - William J Greenleaf
- Department of Genetics, Stanford University, Palo Alto, CA, USA; Chan Zuckerberg Biohub, San Francisco, CA, USA
| | - Miguel A Esteban
- Key Laboratory of Regenerative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Ulrich Elling
- Institute of Molecular Biotechnology (IMBA), Vienna, Austria
| | - Yishai Levin
- The Nancy and Stephen Grand Israel National Center for Personalized Medicine, Weizmann Institute of Science, Rehovot, Israel
| | - Rada Massarwa
- Department of Molecular Genetics, Weizmann Institute of Science, 234 Herzl, Rehovot 76100, Israel
| | - Yifat Merbl
- Department of Immunology, Weizmann Institute of Science, Rehovot, Israel
| | - Noa Novershtern
- Department of Molecular Genetics, Weizmann Institute of Science, 234 Herzl, Rehovot 76100, Israel.
| | - Jacob H Hanna
- Department of Molecular Genetics, Weizmann Institute of Science, 234 Herzl, Rehovot 76100, Israel.
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35
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Buenrostro JD, Corces MR, Lareau CA, Wu B, Schep AN, Aryee MJ, Majeti R, Chang HY, Greenleaf WJ. Integrated Single-Cell Analysis Maps the Continuous Regulatory Landscape of Human Hematopoietic Differentiation. Cell 2018; 173:1535-1548.e16. [PMID: 29706549 PMCID: PMC5989727 DOI: 10.1016/j.cell.2018.03.074] [Citation(s) in RCA: 366] [Impact Index Per Article: 61.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2017] [Revised: 01/03/2018] [Accepted: 03/27/2018] [Indexed: 12/26/2022]
Abstract
Human hematopoiesis involves cellular differentiation of multipotent cells into progressively more lineage-restricted states. While the chromatin accessibility landscape of this process has been explored in defined populations, single-cell regulatory variation has been hidden by ensemble averaging. We collected single-cell chromatin accessibility profiles across 10 populations of immunophenotypically defined human hematopoietic cell types and constructed a chromatin accessibility landscape of human hematopoiesis to characterize differentiation trajectories. We find variation consistent with lineage bias toward different developmental branches in multipotent cell types. We observe heterogeneity within common myeloid progenitors (CMPs) and granulocyte-macrophage progenitors (GMPs) and develop a strategy to partition GMPs along their differentiation trajectory. Furthermore, we integrated single-cell RNA sequencing (scRNA-seq) data to associate transcription factors to chromatin accessibility changes and regulatory elements to target genes through correlations of expression and regulatory element accessibility. Overall, this work provides a framework for integrative exploration of complex regulatory dynamics in a primary human tissue at single-cell resolution.
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Affiliation(s)
- Jason D Buenrostro
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Harvard Society of Fellows, Harvard University, Cambridge, MA 02138, USA.
| | - M Ryan Corces
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA 94305, USA
| | - Caleb A Lareau
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Beijing Wu
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Alicia N Schep
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Martin J Aryee
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Pathology, Massachusetts General Hospital & Harvard Medical School, Boston, MA 02115, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Ravindra Majeti
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA; Division of Hematology, Department of Medicine, Stanford University School of Medicine, Stanford 94305, CA, USA
| | - Howard Y Chang
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA 94305, USA; Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA; Program in Epithelial Biology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - William J Greenleaf
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA 94305, USA; Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Applied Physics, Stanford University, Stanford, CA 94025, USA; Chan Zuckerberg Biohub, San Francisco, CA 94158, USA.
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36
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Satpathy AT, Saligrama N, Buenrostro JD, Wei Y, Wu B, Rubin AJ, Granja JM, Lareau CA, Li R, Qi Y, Parker KR, Mumbach MR, Serratelli WS, Gennert DG, Schep AN, Corces MR, Khodadoust MS, Kim YH, Khavari PA, Greenleaf WJ, Davis MM, Chang HY. Transcript-indexed ATAC-seq for precision immune profiling. Nat Med 2018; 24:580-590. [PMID: 29686426 PMCID: PMC5948148 DOI: 10.1038/s41591-018-0008-8] [Citation(s) in RCA: 103] [Impact Index Per Article: 17.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2017] [Accepted: 02/07/2018] [Indexed: 02/04/2023]
Abstract
T cells create vast amounts of diversity in the genes that encode their T cell receptors (TCRs), which enables individual clones to recognize specific peptide-major histocompatibility complex (MHC) ligands. Here we combined sequencing of the TCR-encoding genes with assay for transposase-accessible chromatin with sequencing (ATAC-seq) analysis at the single-cell level to provide information on the TCR specificity and epigenomic state of individual T cells. By using this approach, termed transcript-indexed ATAC-seq (T-ATAC-seq), we identified epigenomic signatures in immortalized leukemic T cells, primary human T cells from healthy volunteers and primary leukemic T cells from patient samples. In peripheral blood CD4+ T cells from healthy individuals, we identified cis and trans regulators of naive and memory T cell states and found substantial heterogeneity in surface-marker-defined T cell populations. In patients with a leukemic form of cutaneous T cell lymphoma, T-ATAC-seq enabled identification of leukemic and nonleukemic regulatory pathways in T cells from the same individual by allowing separation of the signals that arose from the malignant clone from the background T cell noise. Thus, T-ATAC-seq is a new tool that enables analysis of epigenomic landscapes in clonal T cells and should be valuable for studies of T cell malignancy, immunity and immunotherapy.
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Affiliation(s)
- Ansuman T Satpathy
- Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA, USA.,Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Naresha Saligrama
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA
| | - Jason D Buenrostro
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA.,Harvard Society of Fellows, Harvard University, Cambridge, MA, USA
| | - Yuning Wei
- Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA, USA.,Department of Dermatology, Stanford University School of Medicine, Stanford, CA, USA
| | - Beijing Wu
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Adam J Rubin
- Department of Dermatology, Stanford University School of Medicine, Stanford, CA, USA
| | - Jeffrey M Granja
- Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA, USA.,Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA.,Biophysics Program, Stanford University School of Medicine, Stanford, CA, USA
| | - Caleb A Lareau
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA
| | - Rui Li
- Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA, USA.,Department of Dermatology, Stanford University School of Medicine, Stanford, CA, USA
| | - Yanyan Qi
- Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA, USA.,Department of Dermatology, Stanford University School of Medicine, Stanford, CA, USA
| | - Kevin R Parker
- Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA, USA.,Department of Dermatology, Stanford University School of Medicine, Stanford, CA, USA
| | - Maxwell R Mumbach
- Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA, USA.,Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - William S Serratelli
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA
| | - David G Gennert
- Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA, USA.,Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Alicia N Schep
- Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA, USA.,Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - M Ryan Corces
- Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA, USA.,Department of Dermatology, Stanford University School of Medicine, Stanford, CA, USA
| | - Michael S Khodadoust
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Youn H Kim
- Department of Dermatology, Stanford University School of Medicine, Stanford, CA, USA
| | - Paul A Khavari
- Department of Dermatology, Stanford University School of Medicine, Stanford, CA, USA
| | - William J Greenleaf
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA.,Department of Applied Physics, Stanford University, Stanford, CA, USA.,Chan Zuckerberg Biohub, San Francisco, CA, USA
| | - Mark M Davis
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA. .,Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, CA, USA. .,Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA, USA.
| | - Howard Y Chang
- Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA, USA. .,Department of Dermatology, Stanford University School of Medicine, Stanford, CA, USA. .,Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
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37
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Koh AS, Miller EL, Buenrostro JD, Moskowitz DM, Wang J, Greenleaf WJ, Chang HY, Crabtree GR. Rapid chromatin repression by Aire provides precise control of immune tolerance. Nat Immunol 2018; 19:162-172. [PMID: 29335648 PMCID: PMC6049828 DOI: 10.1038/s41590-017-0032-8] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2017] [Accepted: 12/07/2017] [Indexed: 01/23/2023]
Abstract
Aire mediates the expression of tissue-specific antigens in thymic epithelial cells to promote tolerance against self-reactive T lymphocytes. However, the mechanism that allows expression of tissue-specific genes at levels that prevent harm is unknown. Here we show that Brg1 generates accessibility at tissue-specific loci to impose central tolerance. We found that Aire has an intrinsic repressive function that restricts chromatin accessibility and opposes Brg1 across the genome. Aire exerted this repressive influence within minutes after recruitment to chromatin and restrained the amplitude of active transcription. Disease-causing mutations that impair Aire-induced activation also impair the protein's repressive function, which indicates dual roles for Aire. Together, Brg1 and Aire fine-tune the expression of tissue-specific genes at levels that prevent toxicity yet promote immune tolerance.
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Affiliation(s)
- Andrew S Koh
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
- Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA, USA.
- Howard Hughes Medical Institute, Chevy Chase, MD, USA.
| | - Erik L Miller
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Jason D Buenrostro
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Harvard Society of Fellows, Harvard University, Cambridge, MA, USA
| | - David M Moskowitz
- Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA, USA
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Jing Wang
- Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA, USA
| | - William J Greenleaf
- Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA, USA
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
- Department of Applied Physics, Stanford University, Stanford, CA, USA
- Chan Zuckerburg Biohub, San Francisco, CA, USA
| | - Howard Y Chang
- Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA, USA
| | - Gerald R Crabtree
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
- Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA, USA.
- Howard Hughes Medical Institute, Chevy Chase, MD, USA.
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38
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Daugherty AC, Yeo RW, Buenrostro JD, Greenleaf WJ, Kundaje A, Brunet A. Chromatin accessibility dynamics reveal novel functional enhancers in C. elegans. Genome Res 2017. [PMID: 29141961 DOI: 10.1101/088732] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/07/2023]
Abstract
Chromatin accessibility, a crucial component of genome regulation, has primarily been studied in homogeneous and simple systems, such as isolated cell populations or early-development models. Whether chromatin accessibility can be assessed in complex, dynamic systems in vivo with high sensitivity remains largely unexplored. In this study, we use ATAC-seq to identify chromatin accessibility changes in a whole animal, the model organism Caenorhabditis elegans, from embryogenesis to adulthood. Chromatin accessibility changes between developmental stages are highly reproducible, recapitulate histone modification changes, and reveal key regulatory aspects of the epigenomic landscape throughout organismal development. We find that over 5000 distal noncoding regions exhibit dynamic changes in chromatin accessibility between developmental stages and could thereby represent putative enhancers. When tested in vivo, several of these putative enhancers indeed drive novel cell-type- and temporal-specific patterns of expression. Finally, by integrating transcription factor binding motifs in a machine learning framework, we identify EOR-1 as a unique transcription factor that may regulate chromatin dynamics during development. Our study provides a unique resource for C. elegans, a system in which the prevalence and importance of enhancers remains poorly characterized, and demonstrates the power of using whole organism chromatin accessibility to identify novel regulatory regions in complex systems.
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Affiliation(s)
- Aaron C Daugherty
- Department of Genetics, Stanford University, Stanford, California 94305, USA
| | - Robin W Yeo
- Department of Genetics, Stanford University, Stanford, California 94305, USA
| | - Jason D Buenrostro
- Department of Genetics, Stanford University, Stanford, California 94305, USA
| | - William J Greenleaf
- Department of Genetics, Stanford University, Stanford, California 94305, USA
- Department of Applied Physics, Stanford University, Stanford, California 94305, USA
| | - Anshul Kundaje
- Department of Genetics, Stanford University, Stanford, California 94305, USA
- Department of Computer Science, Stanford University, Stanford, California 94305, USA
| | - Anne Brunet
- Department of Genetics, Stanford University, Stanford, California 94305, USA
- Glenn Laboratories for the Biology of Aging, Stanford University, Stanford, California 94305, USA
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39
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Schep AN, Wu B, Buenrostro JD, Greenleaf WJ. chromVAR: inferring transcription-factor-associated accessibility from single-cell epigenomic data. Nat Methods 2017; 14:975-978. [PMID: 28825706 PMCID: PMC5623146 DOI: 10.1038/nmeth.4401] [Citation(s) in RCA: 686] [Impact Index Per Article: 98.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2017] [Accepted: 07/21/2017] [Indexed: 12/29/2022]
Abstract
Single cell ATAC-seq (scATAC) yields sparse data that makes application of conventional analysis approaches challenging. We developed chromVAR, an R package for analyzing sparse chromatin accessibility data by estimating gain or loss of accessibility within peaks sharing the same motif or annotation while controlling for technical biases. chromVAR enables accurate clustering of scATAC-seq profiles and enables characterization of known and de novo sequence motifs associated with variation in chromatin accessibility.
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Affiliation(s)
- Alicia N Schep
- Department of Genetics, Stanford University School of Medicine, Stanford, California, USA.,Center for Personal Dynamic Regulomes, Stanford University, Stanford, California, USA
| | - Beijing Wu
- Department of Genetics, Stanford University School of Medicine, Stanford, California, USA.,Center for Personal Dynamic Regulomes, Stanford University, Stanford, California, USA
| | - Jason D Buenrostro
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.,Harvard Society of Fellows, Harvard University, Cambridge, Massachusetts, USA
| | - William J Greenleaf
- Department of Genetics, Stanford University School of Medicine, Stanford, California, USA.,Center for Personal Dynamic Regulomes, Stanford University, Stanford, California, USA.,Department of Applied Physics, Stanford University, Stanford, California, USA.,Chan Zuckerberg Biohub, San Francisco, California, USA
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40
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Soto-Feliciano YM, Bartlebaugh JME, Liu Y, Sánchez-Rivera FJ, Bhutkar A, Weintraub AS, Buenrostro JD, Cheng CS, Regev A, Jacks TE, Young RA, Hemann MT. PHF6 regulates phenotypic plasticity through chromatin organization within lineage-specific genes. Genes Dev 2017; 31:973-989. [PMID: 28607179 PMCID: PMC5495126 DOI: 10.1101/gad.295857.117] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2017] [Accepted: 05/15/2017] [Indexed: 12/17/2022]
Abstract
In this study, Soto-Feliciano et al. describe the function of the plant homeodomain finger 6 (PHF6) protein in leukemia and define its role in regulating chromatin accessibility to lineage-specific transcription factors. Their findings suggest that active maintenance of a precise chromatin landscape is essential for sustaining proper leukemia cell identity and that loss of a single factor (PHF6) can cause focal changes in chromatin accessibility and nucleosome positioning that render cells susceptible to lineage transition. Developmental and lineage plasticity have been observed in numerous malignancies and have been correlated with tumor progression and drug resistance. However, little is known about the molecular mechanisms that enable such plasticity to occur. Here, we describe the function of the plant homeodomain finger protein 6 (PHF6) in leukemia and define its role in regulating chromatin accessibility to lineage-specific transcription factors. We show that loss of Phf6 in B-cell leukemia results in systematic changes in gene expression via alteration of the chromatin landscape at the transcriptional start sites of B-cell- and T-cell-specific factors. Additionally, Phf6KO cells show significant down-regulation of genes involved in the development and function of normal B cells, show up-regulation of genes involved in T-cell signaling, and give rise to mixed-lineage lymphoma in vivo. Engagement of divergent transcriptional programs results in phenotypic plasticity that leads to altered disease presentation in vivo, tolerance of aberrant oncogenic signaling, and differential sensitivity to frontline and targeted therapies. These findings suggest that active maintenance of a precise chromatin landscape is essential for sustaining proper leukemia cell identity and that loss of a single factor (PHF6) can cause focal changes in chromatin accessibility and nucleosome positioning that render cells susceptible to lineage transition.
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Affiliation(s)
- Yadira M Soto-Feliciano
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, Massachusetts 02142, USA.,Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts 02142, USA
| | - Jordan M E Bartlebaugh
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, Massachusetts 02142, USA.,Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts 02142, USA
| | - Yunpeng Liu
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, Massachusetts 02142, USA.,Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts 02142, USA
| | - Francisco J Sánchez-Rivera
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, Massachusetts 02142, USA.,Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts 02142, USA
| | - Arjun Bhutkar
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, Massachusetts 02142, USA
| | - Abraham S Weintraub
- Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts 02142, USA.,Whitehead Institute for Biomedical Research, Cambridge, Massachusetts 02142, USA
| | - Jason D Buenrostro
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts 02142, USA
| | - Christine S Cheng
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts 02142, USA
| | - Aviv Regev
- Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts 02142, USA.,Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts 02142, USA.,Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - Tyler E Jacks
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, Massachusetts 02142, USA.,Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts 02142, USA.,Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - Richard A Young
- Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts 02142, USA.,Whitehead Institute for Biomedical Research, Cambridge, Massachusetts 02142, USA
| | - Michael T Hemann
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, Massachusetts 02142, USA.,Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts 02142, USA
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41
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Miller EL, Hargreaves DC, Kadoch C, Chang CY, Calarco JP, Hodges C, Buenrostro JD, Cui K, Greenleaf WJ, Zhao K, Crabtree GR. TOP2 synergizes with BAF chromatin remodeling for both resolution and formation of facultative heterochromatin. Nat Struct Mol Biol 2017; 24:344-352. [PMID: 28250416 PMCID: PMC5395302 DOI: 10.1038/nsmb.3384] [Citation(s) in RCA: 54] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2016] [Accepted: 02/01/2017] [Indexed: 12/19/2022]
Abstract
Resolution and formation of facultative heterochromatin is essential to development, reprogramming, and oncogenesis. The mechanisms underlying these changes are poorly understood due to the inability to study heterochromatin dynamics and structure in vivo. We devised an in vivo approach to investigate these mechanisms and found that topoisomerase II (TOP2), but not TOP1, synergizes with BAF (mSWI/SNF) ATP-dependent chromatin remodeling complexes genome-wide to resolve facultative heterochromatin to accessible chromatin independent of transcription, indicating that changes in DNA topology through (de-)catenation rather than release of torsional stress through swiveling is necessary for heterochromatin resolution. In turn, TOP2 and BAF cooperate to recruit pluripotency factors, explaining some of the instructive roles of BAF complexes. Unexpectedly, we found that TOP2, also plays a role in the reformation of facultative heterochromatin, suggesting that facultative heterochromatin and accessible chromatin exist at different states of catenation or other topologies, which may be critical to their structures.
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Affiliation(s)
- Erik L Miller
- Department of Pathology, Stanford University School of Medicine, Stanford, California, USA.,Department of Developmental Biology, Stanford University School of Medicine, Stanford, California, USA.,Department of Genetics, Stanford University School of Medicine, Stanford, California, USA
| | - Diana C Hargreaves
- Department of Pathology, Stanford University School of Medicine, Stanford, California, USA.,Department of Developmental Biology, Stanford University School of Medicine, Stanford, California, USA
| | - Cigall Kadoch
- Department of Pediatric Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts, USA.,Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Chiung-Ying Chang
- Department of Pathology, Stanford University School of Medicine, Stanford, California, USA.,Department of Developmental Biology, Stanford University School of Medicine, Stanford, California, USA
| | - Joseph P Calarco
- Department of Pathology, Stanford University School of Medicine, Stanford, California, USA.,Department of Developmental Biology, Stanford University School of Medicine, Stanford, California, USA
| | - Courtney Hodges
- Department of Pathology, Stanford University School of Medicine, Stanford, California, USA.,Department of Developmental Biology, Stanford University School of Medicine, Stanford, California, USA
| | - Jason D Buenrostro
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.,Harvard Society of Fellows, Harvard University, Cambridge, Massachusetts, USA
| | - Kairong Cui
- Systems Biology Center, National Heart, Lung, and Blood Institute, US National Institutes of Health, Bethesda, Maryland, USA
| | - William J Greenleaf
- Department of Genetics, Stanford University School of Medicine, Stanford, California, USA
| | - Keji Zhao
- Systems Biology Center, National Heart, Lung, and Blood Institute, US National Institutes of Health, Bethesda, Maryland, USA
| | - Gerald R Crabtree
- Department of Pathology, Stanford University School of Medicine, Stanford, California, USA.,Department of Developmental Biology, Stanford University School of Medicine, Stanford, California, USA.,Howard Hughes Medical Institute, Chevy Chase, Maryland, USA
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42
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Moskowitz DM, Zhang DW, Hu B, Le Saux S, Yanes RE, Ye Z, Buenrostro JD, Weyand CM, Greenleaf WJ, Goronzy JJ. Epigenomics of human CD8 T cell differentiation and aging. Sci Immunol 2017; 2:eaag0192. [PMID: 28439570 PMCID: PMC5399889 DOI: 10.1126/sciimmunol.aag0192] [Citation(s) in RCA: 147] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
The efficacy of the adaptive immune response declines dramatically with age, but the cell-intrinsic mechanisms driving immune aging in humans remain poorly understood. Immune aging is characterized by a loss of self-renewing naïve cells and the accumulation of differentiated but dysfunctional cells within the CD8 T cell compartment. Using ATAC-seq, we inferred the transcription factor binding activities correlated with naive and central and effector memory CD8 T cell states in young adults. Integrating our results with RNA-seq, we identified transcription networks associated with CD8 T cell differentiation, with prominent roles implicated for BATF, ETS1, Eomes, and Sp1. Extending our analysis to aged humans, we found that the differences between the memory and naive subsets were largely preserved across age, but that naive and central memory cells from older individuals exhibited a shift toward more differentiated patterns of chromatin openness. Additionally, aged naive cells displayed a loss in chromatin accessibility at gene promoters, largely associated with a decrease in NRF1 binding. This shift was implicated in a marked drop-off in the ability of the aged naive cells to transcribe respiratory chain genes, which may explain the reduced capacity of oxidative phosphorylation in older naïve cells. Our findings identify BATF- and NRF1-driven gene regulation as potential targets for delaying CD8 T cell aging and restoring function.
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Affiliation(s)
- David M Moskowitz
- Department of Genetics, Stanford University School of Medicine, Stanford, California
- Biomedical Informatics Training Program, Stanford University School of Medicine, Stanford, California
| | - David W Zhang
- Department of Genetics, Stanford University School of Medicine, Stanford, California
- Division of Immunology and Rheumatology, Department of Medicine, Stanford University, Stanford, CA 94305; and Department of Medicine, Veterans Affairs Palo Alto Health Care, System, Palo Alto, CA 94306
| | - Bin Hu
- Division of Immunology and Rheumatology, Department of Medicine, Stanford University, Stanford, CA 94305; and Department of Medicine, Veterans Affairs Palo Alto Health Care, System, Palo Alto, CA 94306
| | - Sabine Le Saux
- Division of Immunology and Rheumatology, Department of Medicine, Stanford University, Stanford, CA 94305; and Department of Medicine, Veterans Affairs Palo Alto Health Care, System, Palo Alto, CA 94306
| | - Rolando E Yanes
- Division of Immunology and Rheumatology, Department of Medicine, Stanford University, Stanford, CA 94305; and Department of Medicine, Veterans Affairs Palo Alto Health Care, System, Palo Alto, CA 94306
| | - Zhongde Ye
- Division of Immunology and Rheumatology, Department of Medicine, Stanford University, Stanford, CA 94305; and Department of Medicine, Veterans Affairs Palo Alto Health Care, System, Palo Alto, CA 94306
| | - Jason D Buenrostro
- Department of Genetics, Stanford University School of Medicine, Stanford, California
- Program in Epithelial Biology and the Howard Hughes Medical Institute, Stanford University, School of Medicine, Stanford, California
| | - Cornelia M Weyand
- Division of Immunology and Rheumatology, Department of Medicine, Stanford University, Stanford, CA 94305; and Department of Medicine, Veterans Affairs Palo Alto Health Care, System, Palo Alto, CA 94306
| | - William J Greenleaf
- Department of Genetics, Stanford University School of Medicine, Stanford, California
| | - Jörg J Goronzy
- Division of Immunology and Rheumatology, Department of Medicine, Stanford University, Stanford, CA 94305; and Department of Medicine, Veterans Affairs Palo Alto Health Care, System, Palo Alto, CA 94306
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43
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Litzenburger UM, Buenrostro JD, Wu B, Shen Y, Sheffield NC, Kathiria A, Greenleaf WJ, Chang HY. Single-cell epigenomic variability reveals functional cancer heterogeneity. Genome Biol 2017; 18:15. [PMID: 28118844 PMCID: PMC5259890 DOI: 10.1186/s13059-016-1133-7] [Citation(s) in RCA: 72] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2016] [Accepted: 12/12/2016] [Indexed: 12/27/2022] Open
Abstract
Background Cell-to-cell heterogeneity is a major driver of cancer evolution, progression, and emergence of drug resistance. Epigenomic variation at the single-cell level can rapidly create cancer heterogeneity but is difficult to detect and assess functionally. Results We develop a strategy to bridge the gap between measurement and function in single-cell epigenomics. Using single-cell chromatin accessibility and RNA-seq data in K562 leukemic cells, we identify the cell surface marker CD24 as co-varying with chromatin accessibility changes linked to GATA transcription factors in single cells. Fluorescence-activated cell sorting of CD24 high versus low cells prospectively isolated GATA1 and GATA2 high versus low cells. GATA high versus low cells express differential gene regulatory networks, differential sensitivity to the drug imatinib mesylate, and differential self-renewal capacity. Lineage tracing experiments show that GATA/CD24hi cells have the capability to rapidly reconstitute the heterogeneity within the entire starting population, suggesting that GATA expression levels drive a phenotypically relevant source of epigenomic plasticity. Conclusion Single-cell chromatin accessibility can guide prospective characterization of cancer heterogeneity. Epigenomic subpopulations in cancer impact drug sensitivity and the clonal dynamics of cancer evolution. Electronic supplementary material The online version of this article (doi:10.1186/s13059-016-1133-7) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Ulrike M Litzenburger
- Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Jason D Buenrostro
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.,Harvard Society of Fellows, Harvard University, Cambridge, MA, 02138, USA
| | - Beijing Wu
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Ying Shen
- Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Nathan C Sheffield
- Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Arwa Kathiria
- Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA, 94305, USA.,Department of Genetics, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - William J Greenleaf
- Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA, 94305, USA. .,Department of Genetics, Stanford University School of Medicine, Stanford, CA, 94305, USA. .,Department of Applied Physics, Stanford University, Stanford, CA, 94035, USA.
| | - Howard Y Chang
- Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA, 94305, USA.
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44
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Chen X, Shen Y, Draper W, Buenrostro JD, Litzenburger U, Cho SW, Satpathy AT, Carter AC, Ghosh RP, East-Seletsky A, Doudna JA, Greenleaf WJ, Liphardt JT, Chang HY. ATAC-see reveals the accessible genome by transposase-mediated imaging and sequencing. Nat Methods 2016; 13:1013-1020. [PMID: 27749837 DOI: 10.1038/nmeth.4031] [Citation(s) in RCA: 144] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2016] [Accepted: 09/19/2016] [Indexed: 01/10/2023]
Abstract
Spatial organization of the genome plays a central role in gene expression, DNA replication, and repair. But current epigenomic approaches largely map DNA regulatory elements outside of the native context of the nucleus. Here we report assay of transposase-accessible chromatin with visualization (ATAC-see), a transposase-mediated imaging technology that employs direct imaging of the accessible genome in situ, cell sorting, and deep sequencing to reveal the identity of the imaged elements. ATAC-see revealed the cell-type-specific spatial organization of the accessible genome and the coordinated process of neutrophil chromatin extrusion, termed NETosis. Integration of ATAC-see with flow cytometry enables automated quantitation and prospective cell isolation as a function of chromatin accessibility, and it reveals a cell-cycle dependence of chromatin accessibility that is especially dynamic in G1 phase. The integration of imaging and epigenomics provides a general and scalable approach for deciphering the spatiotemporal architecture of gene control.
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Affiliation(s)
- Xingqi Chen
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, California, USA
| | - Ying Shen
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, California, USA
| | - Will Draper
- Department of Bioengineering, Stanford University, Stanford, California, USA
| | - Jason D Buenrostro
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, California, USA.,Department of Genetics, Stanford University, Stanford, California, USA
| | - Ulrike Litzenburger
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, California, USA
| | - Seung Woo Cho
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, California, USA
| | - Ansuman T Satpathy
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, California, USA
| | - Ava C Carter
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, California, USA
| | - Rajarshi P Ghosh
- Department of Bioengineering, Stanford University, Stanford, California, USA
| | - Alexandra East-Seletsky
- Department of Molecular and Cell Biology, University of California, Berkeley, California, USA.,Department of Chemistry, University of California, Berkeley, Berkeley, California, USA
| | - Jennifer A Doudna
- Department of Molecular and Cell Biology, University of California, Berkeley, California, USA.,Department of Chemistry, University of California, Berkeley, Berkeley, California, USA.,Howard Hughes Medical Institute, University of California, Berkeley, Berkeley, California, USA.,Physical Biosciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - William J Greenleaf
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, California, USA.,Department of Genetics, Stanford University, Stanford, California, USA.,Department of Applied Physics, Stanford University, Stanford, California, USA
| | - Jan T Liphardt
- Department of Bioengineering, Stanford University, Stanford, California, USA
| | - Howard Y Chang
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, California, USA
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45
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Corces MR, Buenrostro JD, Wu B, Greenside PG, Chan SM, Koenig JL, Snyder MP, Pritchard JK, Kundaje A, Greenleaf WJ, Majeti R, Chang HY. Lineage-specific and single-cell chromatin accessibility charts human hematopoiesis and leukemia evolution. Nat Genet 2016; 48:1193-203. [PMID: 27526324 PMCID: PMC5042844 DOI: 10.1038/ng.3646] [Citation(s) in RCA: 689] [Impact Index Per Article: 86.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2015] [Accepted: 07/18/2016] [Indexed: 02/07/2023]
Abstract
We define the chromatin accessibility and transcriptional landscapes in 13 human primary blood cell types that span the hematopoietic hierarchy. Exploiting the finding that the enhancer landscape better reflects cell identity than mRNA levels, we enable 'enhancer cytometry' for enumeration of pure cell types from complex populations. We identify regulators governing hematopoietic differentiation and further show the lineage ontogeny of genetic elements linked to diverse human diseases. In acute myeloid leukemia (AML), chromatin accessibility uncovers unique regulatory evolution in cancer cells with a progressively increasing mutation burden. Single AML cells exhibit distinctive mixed regulome profiles corresponding to disparate developmental stages. A method to account for this regulatory heterogeneity identified cancer-specific deviations and implicated HOX factors as key regulators of preleukemic hematopoietic stem cell characteristics. Thus, regulome dynamics can provide diverse insights into hematopoietic development and disease.
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Affiliation(s)
- M Ryan Corces
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, California, USA
- Division of Hematology, Department of Medicine, Stanford University School of Medicine, Stanford, California, USA
- Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, California, USA
| | - Jason D Buenrostro
- Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, California, USA
- Department of Genetics, Stanford University, Stanford, California, USA
- Broad Institute of MIT and Harvard, Harvard University, Cambridge, Massachusetts, USA
| | - Beijing Wu
- Department of Genetics, Stanford University, Stanford, California, USA
| | - Peyton G Greenside
- Department of Genetics, Stanford University, Stanford, California, USA
- Program in Biomedical Informatics, Stanford University School of Medicine, Stanford, California, USA
| | - Steven M Chan
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Julie L Koenig
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, California, USA
- Division of Hematology, Department of Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Michael P Snyder
- Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, California, USA
- Department of Genetics, Stanford University, Stanford, California, USA
| | - Jonathan K Pritchard
- Department of Genetics, Stanford University, Stanford, California, USA
- Department of Biology, Stanford University, Stanford, California, USA
- Howard Hughes Medical Institute, Chevy Chase, Maryland, USA
| | - Anshul Kundaje
- Department of Genetics, Stanford University, Stanford, California, USA
- Department of Computer Science, Stanford University, Stanford, California, USA
| | - William J Greenleaf
- Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, California, USA
- Department of Genetics, Stanford University, Stanford, California, USA
| | - Ravindra Majeti
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, California, USA
- Division of Hematology, Department of Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Howard Y Chang
- Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, California, USA
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46
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Mazumdar C, Shen Y, Xavy S, Zhao F, Reinisch A, Li R, Corces MR, Flynn RA, Buenrostro JD, Chan SM, Thomas D, Koenig JL, Hong WJ, Chang HY, Majeti R. Leukemia-Associated Cohesin Mutants Dominantly Enforce Stem Cell Programs and Impair Human Hematopoietic Progenitor Differentiation. Cell Stem Cell 2015; 17:675-688. [PMID: 26607380 PMCID: PMC4671831 DOI: 10.1016/j.stem.2015.09.017] [Citation(s) in RCA: 148] [Impact Index Per Article: 16.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2015] [Revised: 08/24/2015] [Accepted: 09/23/2015] [Indexed: 01/14/2023]
Abstract
Recurrent mutations in cohesin complex proteins have been identified in pre-leukemic hematopoietic stem cells and during the early development of acute myeloid leukemia and other myeloid malignancies. Although cohesins are involved in chromosome separation and DNA damage repair, cohesin complex functions during hematopoiesis and leukemic development are unclear. Here, we show that mutant cohesin proteins block differentiation of human hematopoietic stem and progenitor cells (HSPCs) in vitro and in vivo and enforce stem cell programs. These effects are restricted to immature HSPC populations, where cohesin mutants show increased chromatin accessibility and likelihood of transcription factor binding site occupancy by HSPC regulators including ERG, GATA2, and RUNX1, as measured by ATAC-seq and ChIP-seq. Epistasis experiments show that silencing these transcription factors rescues the differentiation block caused by cohesin mutants. Together, these results show that mutant cohesins impair HSPC differentiation by controlling chromatin accessibility and transcription factor activity, possibly contributing to leukemic disease.
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Affiliation(s)
- Claire Mazumdar
- Department of Medicine, Division of Hematology, Cancer Institute, and Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Ying Shen
- Center for Personal Dynamic Regulomes and Program in Epithelial Biology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Seethu Xavy
- Department of Medicine, Division of Hematology, Cancer Institute, and Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Feifei Zhao
- Department of Medicine, Division of Hematology, Cancer Institute, and Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Andreas Reinisch
- Department of Medicine, Division of Hematology, Cancer Institute, and Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Rui Li
- Center for Personal Dynamic Regulomes and Program in Epithelial Biology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - M Ryan Corces
- Department of Medicine, Division of Hematology, Cancer Institute, and Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Ryan A Flynn
- Center for Personal Dynamic Regulomes and Program in Epithelial Biology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Jason D Buenrostro
- Center for Personal Dynamic Regulomes and Program in Epithelial Biology, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Steven M Chan
- Department of Medicine, Division of Hematology, Cancer Institute, and Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Daniel Thomas
- Department of Medicine, Division of Hematology, Cancer Institute, and Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Julie L Koenig
- Department of Medicine, Division of Hematology, Cancer Institute, and Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Wan-Jen Hong
- Department of Medicine, Division of Hematology, Cancer Institute, and Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Howard Y Chang
- Center for Personal Dynamic Regulomes and Program in Epithelial Biology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Ravindra Majeti
- Department of Medicine, Division of Hematology, Cancer Institute, and Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.
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47
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Maza I, Caspi I, Zviran A, Chomsky E, Rais Y, Viukov S, Geula S, Buenrostro JD, Weinberger L, Krupalnik V, Hanna S, Zerbib M, Dutton JR, Greenleaf WJ, Massarwa R, Novershtern N, Hanna JH. Transient acquisition of pluripotency during somatic cell transdifferentiation with iPSC reprogramming factors. Nat Biotechnol 2015; 33:769-74. [PMID: 26098448 PMCID: PMC4500825 DOI: 10.1038/nbt.3270] [Citation(s) in RCA: 113] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2014] [Accepted: 06/01/2015] [Indexed: 01/20/2023]
Abstract
Somatic cells can be transdifferentiated to other cell types without passing through a pluripotent state by ectopic expression of appropriate transcription factors1,2. Recent reports have proposed an alternative transdifferentiation method in which fibroblasts are directly converted to various mature somatic cell types by brief expression of the induced pluripotent stem cell (iPSC) reprogramming factors Oct4, Sox2, Klf4 and c-Myc (OSKM) followed by cell expansion in media that promote lineage differentiation3–6. Here we test this method using genetic lineage tracing for expression of endogenous Nanog and Oct4 and for X chromosome reactivation, as these events mark acquisition of pluripotency. We show that the vast majority of reprogrammed cardiomyocytes or neural stem cells obtained from mouse fibroblasts by OSKM-induced transdifferentiation pass through a transient pluripotent state, and that their derivation is molecularly coupled to iPSC formation mechanisms. Our findings underscore the importance of defining trajectories during cell reprogramming by different methods.
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Affiliation(s)
- Itay Maza
- 1] The Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel. [2] The Department of Gastroenterology, Rambam Health Care Campus &Bruce Rappaport School of Medicine, Technion Institute of Technology, Haifa, Israel
| | - Inbal Caspi
- The Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Asaf Zviran
- The Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Elad Chomsky
- The Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Yoach Rais
- The Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Sergey Viukov
- The Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Shay Geula
- The Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Jason D Buenrostro
- Department of Genetics, Stanford University School of Medicine, Stanford, California, USA
| | - Leehee Weinberger
- The Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Vladislav Krupalnik
- The Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Suhair Hanna
- 1] The Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel. [2] The Department of Pediatrics and the Pediatric Immunology Unit, Rambam Health Care Campus &Bruce Rappaport School of Medicine, Technion Institute of Technology, Haifa, Israel
| | - Mirie Zerbib
- The Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - James R Dutton
- Stem Cell Institute, University of Minnesota, Minneapolis, Minnesota, USA
| | - William J Greenleaf
- The Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Rada Massarwa
- The Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Noa Novershtern
- The Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Jacob H Hanna
- The Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
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48
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Abstract
This unit describes Assay for Transposase-Accessible Chromatin with high-throughput sequencing (ATAC-seq), a method for mapping chromatin accessibility genome-wide. This method probes DNA accessibility with hyperactive Tn5 transposase, which inserts sequencing adapters into accessible regions of chromatin. Sequencing reads can then be used to infer regions of increased accessibility, as well as to map regions of transcription-factor binding and nucleosome position. The method is a fast and sensitive alternative to DNase-seq for assaying chromatin accessibility genome-wide, or to MNase-seq for assaying nucleosome positions in accessible regions of the genome.
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Affiliation(s)
- Jason D Buenrostro
- Department of Genetics, Stanford University School of Medicine, Stanford, California.,Program in Epithelial Biology and the Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, California
| | - Beijing Wu
- Department of Genetics, Stanford University School of Medicine, Stanford, California
| | - Howard Y Chang
- Program in Epithelial Biology and the Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, California
| | - William J Greenleaf
- Department of Genetics, Stanford University School of Medicine, Stanford, California
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49
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Couthouis J, Raphael AR, Siskind C, Findlay AR, Buenrostro JD, Greenleaf WJ, Vogel H, Day JW, Flanigan KM, Gitler AD. Exome sequencing identifies a DNAJB6 mutation in a family with dominantly-inherited limb-girdle muscular dystrophy. Neuromuscul Disord 2014; 24:431-5. [PMID: 24594375 DOI: 10.1016/j.nmd.2014.01.014] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2013] [Revised: 01/27/2014] [Accepted: 01/31/2014] [Indexed: 12/30/2022]
Abstract
Limb-girdle muscular dystrophy primarily affects the muscles of the hips and shoulders (the "limb-girdle" muscles), although it is a heterogeneous disorder that can present with varying symptoms. There is currently no cure. We sought to identify the genetic basis of limb-girdle muscular dystrophy type 1 in an American family of Northern European descent using exome sequencing. Exome sequencing was performed on DNA samples from two affected siblings and one unaffected sibling and resulted in the identification of eleven candidate mutations that co-segregated with the disease. Notably, this list included a previously reported mutation in DNAJB6, p.Phe89Ile, which was recently identified as a cause of limb-girdle muscular dystrophy type 1D. Additional family members were Sanger sequenced and the mutation in DNAJB6 was only found in affected individuals. Subsequent haplotype analysis indicated that this DNAJB6 p.Phe89Ile mutation likely arose independently of the previously reported mutation. Since other published mutations are located close by in the G/F domain of DNAJB6, this suggests that the area may represent a mutational hotspot. Exome sequencing provided an unbiased and effective method for identifying the genetic etiology of limb-girdle muscular dystrophy type 1 in a previously genetically uncharacterized family. This work further confirms the causative role of DNAJB6 mutations in limb-girdle muscular dystrophy type 1D.
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Affiliation(s)
- Julien Couthouis
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Alya R Raphael
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Carly Siskind
- Neuroscience Center, Stanford Hospital and Clinics, Stanford, CA, USA
| | - Andrew R Findlay
- Department of Neurology, The Ohio State University, Columbus, OH, USA
| | - Jason D Buenrostro
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - William J Greenleaf
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Hannes Vogel
- Departments of Pathology, Stanford University School of Medicine, Stanford, CA, USA; Departments of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - John W Day
- Department of Neurology, Stanford University School of Medicine, Stanford, CA, USA
| | - Kevin M Flanigan
- Department of Neurology, The Ohio State University, Columbus, OH, USA; Department of Pediatrics, The Ohio State University, Columbus, OH, USA; Center for Gene Therapy, Nationwide Children's Hospital, Columbus, OH, USA
| | - Aaron D Gitler
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
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50
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Buenrostro JD, Chircus L, Araya CL, Layton C, Greenleaf WJ. Direct, High-Throughput Measurement of Quantitative RNA Affinity Landscapes. Biophys J 2014. [DOI: 10.1016/j.bpj.2013.11.2771] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
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