1
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Ordoñez R, Zhang W, Ellis G, Zhu Y, Ashe HJ, Ribeiro-Dos-Santos AM, Brosh R, Huang E, Hogan MS, Boeke JD, Maurano MT. Genomic context sensitizes regulatory elements to genetic disruption. bioRxiv 2024:2023.07.02.547201. [PMID: 37781588 PMCID: PMC10541140 DOI: 10.1101/2023.07.02.547201] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/03/2023]
Abstract
Enhancer function is frequently investigated piecemeal using truncated reporter assays or single deletion analysis. Thus it remains unclear to what extent enhancer function at native loci relies on surrounding genomic context. Using the Big-IN technology for targeted integration of large DNAs, we analyzed the regulatory architecture of the murine Igf2 / H19 locus, a paradigmatic model of enhancer selectivity. We assembled payloads containing a 157-kb functional Igf2 / H19 locus and engineered mutations to genetically direct CTCF occupancy at the imprinting control region (ICR) that switches the target gene of the H19 enhancer cluster. Contrasting activity of payloads delivered at the endogenous Igf2 / H19 locus or ectopically at Hprt revealed that the Igf2 / H19 locus includes additional, previously unknown long-range regulatory elements. Exchanging components of the Igf2 / H19 locus with the well-studied Sox2 locus showed that the H19 enhancer cluster functioned poorly out of context, and required its native surroundings to activate Sox2 expression. Conversely, the Sox2 locus control region (LCR) could activate both Igf2 and H19 outside its native context, but its activity was only partially modulated by CTCF occupancy at the ICR. Analysis of regulatory DNA actuation across different cell types revealed that, while the H19 enhancers are tightly coordinated within their native locus, the Sox2 LCR acts more independently. We show that these enhancer clusters typify broader classes of loci genome-wide. Our results show that unexpected dependencies may influence even the most studied functional elements, and our synthetic regulatory genomics approach permits large-scale manipulation of complete loci to investigate the relationship between locus architecture and function. HIGHLIGHTS Composite enhancer elements are subject to genomic context effects mapped to a specific architecture of their endogenous loci. Igf2/H19 expression is affected by long-range regulatory elements beyond the canonically defined locus, and the H19 enhancer cluster in particular relies on the surrounding context at its endogenous locus. The Sox2 LCR functions as an autonomous enhancer without requiring additional surrounding context. The influence of genomic context is buffered at intact loci, but manifests more strongly as key regulatory elements are deleted or repositioned.
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2
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Brosh R, Coelho C, Ribeiro-Dos-Santos AM, Ellis G, Hogan MS, Ashe HJ, Somogyi N, Ordoñez R, Luther RD, Huang E, Boeke JD, Maurano MT. Synthetic regulatory genomics uncovers enhancer context dependence at the Sox2 locus. Mol Cell 2023; 83:1140-1152.e7. [PMID: 36931273 PMCID: PMC10081970 DOI: 10.1016/j.molcel.2023.02.027] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [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: 11/03/2022] [Revised: 01/20/2023] [Accepted: 02/23/2023] [Indexed: 03/18/2023]
Abstract
Sox2 expression in mouse embryonic stem cells (mESCs) depends on a distal cluster of DNase I hypersensitive sites (DHSs), but their individual contributions and degree of interdependence remain a mystery. We analyzed the endogenous Sox2 locus using Big-IN to scarlessly integrate large DNA payloads incorporating deletions, rearrangements, and inversions affecting single or multiple DHSs, as well as surgical alterations to transcription factor (TF) recognition sequences. Multiple mESC clones were derived for each payload, sequence-verified, and analyzed for Sox2 expression. We found that two DHSs comprising a handful of key TF recognition sequences were each sufficient for long-range activation of Sox2 expression. By contrast, three nearby DHSs were entirely context dependent, showing no activity alone but dramatically augmenting the activity of the autonomous DHSs. Our results highlight the role of context in modulating genomic regulatory element function, and our synthetic regulatory genomics approach provides a roadmap for the dissection of other genomic loci.
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Affiliation(s)
- Ran Brosh
- Institute for Systems Genetics, NYU School of Medicine, New York, NY 10016, USA
| | - Camila Coelho
- Institute for Systems Genetics, NYU School of Medicine, New York, NY 10016, USA
| | | | - Gwen Ellis
- Institute for Systems Genetics, NYU School of Medicine, New York, NY 10016, USA
| | - Megan S Hogan
- Institute for Systems Genetics, NYU School of Medicine, New York, NY 10016, USA
| | - Hannah J Ashe
- Institute for Systems Genetics, NYU School of Medicine, New York, NY 10016, USA
| | - Nicolette Somogyi
- Institute for Systems Genetics, NYU School of Medicine, New York, NY 10016, USA
| | - Raquel Ordoñez
- Institute for Systems Genetics, NYU School of Medicine, New York, NY 10016, USA
| | - Raven D Luther
- Institute for Systems Genetics, NYU School of Medicine, New York, NY 10016, USA
| | - Emily Huang
- Institute for Systems Genetics, NYU School of Medicine, New York, NY 10016, USA
| | - Jef D Boeke
- Institute for Systems Genetics, NYU School of Medicine, New York, NY 10016, USA; Department of Biochemistry Molecular Pharmacology, NYU School of Medicine, New York, NY 10016, USA; Department of Biomedical Engineering, NYU Tandon School of Engineering, Brooklyn, NY 11201, USA
| | - Matthew T Maurano
- Institute for Systems Genetics, NYU School of Medicine, New York, NY 10016, USA; Department of Pathology, NYU School of Medicine, New York, NY 10016, USA.
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3
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Ribeiro-Dos-Santos AM, Hogan MS, Luther RD, Brosh R, Maurano MT. Genomic context sensitivity of insulator function. Genome Res 2022; 32:425-436. [PMID: 35082140 PMCID: PMC8896466 DOI: 10.1101/gr.276449.121] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [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: 12/01/2021] [Accepted: 01/25/2022] [Indexed: 11/24/2022]
Abstract
The specificity of interactions between genomic regulatory elements and potential target genes is influenced by the binding of insulator proteins such as CTCF, which can act as potent enhancer blockers when interposed between an enhancer and a promoter in a reporter assay. But not all CTCF sites genome-wide function as insulator elements, depending on cellular and genomic context. To dissect the influence of genomic context on enhancer blocker activity, we integrated reporter constructs with promoter-only, promoter and enhancer, and enhancer blocker configurations at hundreds of thousands of genomic sites using the Sleeping Beauty transposase. Deconvolution of reporter activity by genomic position reveals distinct expression patterns subject to genomic context, including a compartment of enhancer blocker reporter integrations with robust expression. The high density of integration sites permits quantitative delineation of characteristic genomic context sensitivity profiles and their decomposition into sensitivity to both local and distant DNase I hypersensitive sites. Furthermore, using a single-cell expression approach to test the effect of integrated reporters for differential expression of nearby endogenous genes reveals that CTCF insulator elements do not completely abrogate reporter effects on endogenous gene expression. Collectively, our results lend new insight into genomic regulatory compartmentalization and its influence on the determinants of promoter–enhancer specificity.
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Affiliation(s)
| | - Megan S Hogan
- Institute for Systems Genetics, NYU Grossman School of Medicine
| | - Raven D Luther
- Institute for Systems Genetics, NYU Grossman School of Medicine
| | - Ran Brosh
- Institute for Systems Genetics, NYU Grossman School of Medicine
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4
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Mitchell LA, McCulloch LH, Pinglay S, Berger H, Bosco N, Brosh R, Bulajić M, Huang E, Hogan MS, Martin JA, Mazzoni EO, Davoli T, Maurano MT, Boeke JD. De novo assembly and delivery to mouse cells of a 101 kb functional human gene. Genetics 2021; 218:6179110. [PMID: 33742653 DOI: 10.1093/genetics/iyab038] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [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: 12/09/2020] [Accepted: 02/10/2021] [Indexed: 11/14/2022] Open
Abstract
Design and large-scale synthesis of DNA has been applied to the functional study of viral and microbial genomes. New and expanded technology development is required to unlock the transformative potential of such bottom-up approaches to the study of larger mammalian genomes. Two major challenges include assembling and delivering long DNA sequences. Here, we describe a workflow for de novo DNA assembly and delivery that enables functional evaluation of mammalian genes on the length scale of 100 kilobase pairs (kb). The DNA assembly step is supported by an integrated robotic workcell. We demonstrate assembly of the 101 kb human HPRT1 gene in yeast from 3 kb building blocks, precision delivery of the resulting construct to mouse embryonic stem cells, and subsequent expression of the human protein from its full-length human gene in mouse cells. This workflow provides a framework for mammalian genome writing. We envision utility in producing designer variants of human genes linked to disease and their delivery and functional analysis in cell culture or animal models.
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Affiliation(s)
- Leslie A Mitchell
- Institute for Systems Genetics, NYU Langone Health, New York, NY 10016, USA.,Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY 10016, USA
| | - Laura H McCulloch
- Institute for Systems Genetics, NYU Langone Health, New York, NY 10016, USA.,Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY 10016, USA
| | - Sudarshan Pinglay
- Institute for Systems Genetics, NYU Langone Health, New York, NY 10016, USA.,Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY 10016, USA
| | - Henri Berger
- Institute for Systems Genetics, NYU Langone Health, New York, NY 10016, USA.,Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY 10016, USA
| | - Nazario Bosco
- Institute for Systems Genetics, NYU Langone Health, New York, NY 10016, USA.,Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY 10016, USA
| | - Ran Brosh
- Institute for Systems Genetics, NYU Langone Health, New York, NY 10016, USA.,Department of Pathology, NYU Langone Health, New York, NY 10016, USA
| | - Milica Bulajić
- Department of Biology, New York University, New York, NY 10003, USA
| | - Emily Huang
- Institute for Systems Genetics, NYU Langone Health, New York, NY 10016, USA.,Department of Pathology, NYU Langone Health, New York, NY 10016, USA
| | - Megan S Hogan
- Institute for Systems Genetics, NYU Langone Health, New York, NY 10016, USA.,Department of Pathology, NYU Langone Health, New York, NY 10016, USA
| | - James A Martin
- Institute for Systems Genetics, NYU Langone Health, New York, NY 10016, USA.,Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY 10016, USA
| | | | - Teresa Davoli
- Institute for Systems Genetics, NYU Langone Health, New York, NY 10016, USA.,Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY 10016, USA
| | - Matthew T Maurano
- Institute for Systems Genetics, NYU Langone Health, New York, NY 10016, USA.,Department of Pathology, NYU Langone Health, New York, NY 10016, USA
| | - Jef D Boeke
- Institute for Systems Genetics, NYU Langone Health, New York, NY 10016, USA.,Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY 10016, USA.,Department of Biomedical Engineering, NYU Tandon School of Engineering, Brooklyn, NY 11201,USA
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5
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Maurano MT, Ramaswami S, Zappile P, Dimartino D, Boytard L, Ribeiro-Dos-Santos AM, Vulpescu NA, Westby G, Shen G, Feng X, Hogan MS, Ragonnet-Cronin M, Geidelberg L, Marier C, Meyn P, Zhang Y, Cadley J, Ordoñez R, Luther R, Huang E, Guzman E, Arguelles-Grande C, Argyropoulos KV, Black M, Serrano A, Call ME, Kim MJ, Belovarac B, Gindin T, Lytle A, Pinnell J, Vougiouklakis T, Chen J, Lin LH, Rapkiewicz A, Raabe V, Samanovic MI, Jour G, Osman I, Aguero-Rosenfeld M, Mulligan MJ, Volz EM, Cotzia P, Snuderl M, Heguy A. Sequencing identifies multiple early introductions of SARS-CoV-2 to the New York City region. Genome Res 2020; 30:1781-1788. [PMID: 33093069 PMCID: PMC7706732 DOI: 10.1101/gr.266676.120] [Citation(s) in RCA: 54] [Impact Index Per Article: 13.5] [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: 08/03/2020] [Accepted: 10/20/2020] [Indexed: 11/30/2022]
Abstract
Effective public response to a pandemic relies upon accurate measurement of the extent and dynamics of an outbreak. Viral genome sequencing has emerged as a powerful approach to link seemingly unrelated cases, and large-scale sequencing surveillance can inform on critical epidemiological parameters. Here, we report the analysis of 864 SARS-CoV-2 sequences from cases in the New York City metropolitan area during the COVID-19 outbreak in spring 2020. The majority of cases had no recent travel history or known exposure, and genetically linked cases were spread throughout the region. Comparison to global viral sequences showed that early transmission was most linked to cases from Europe. Our data are consistent with numerous seeds from multiple sources and a prolonged period of unrecognized community spreading. This work highlights the complementary role of genomic surveillance in addition to traditional epidemiological indicators.
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Affiliation(s)
- Matthew T Maurano
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, New York 10016, USA.,Department of Pathology, NYU Grossman School of Medicine, New York, New York 10016, USA
| | - Sitharam Ramaswami
- Genome Technology Center, Division of Advanced Research Technologies, Office of Science and Research, NYU Langone Health, New York, New York 10016, USA
| | - Paul Zappile
- Genome Technology Center, Division of Advanced Research Technologies, Office of Science and Research, NYU Langone Health, New York, New York 10016, USA
| | - Dacia Dimartino
- Genome Technology Center, Division of Advanced Research Technologies, Office of Science and Research, NYU Langone Health, New York, New York 10016, USA
| | - Ludovic Boytard
- Center for Biospecimen Research and Development, NYU Langone Health, New York, New York 10016, USA
| | - André M Ribeiro-Dos-Santos
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, New York 10016, USA.,Department of Pathology, NYU Grossman School of Medicine, New York, New York 10016, USA
| | - Nicholas A Vulpescu
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, New York 10016, USA.,Department of Pathology, NYU Grossman School of Medicine, New York, New York 10016, USA
| | - Gael Westby
- Genome Technology Center, Division of Advanced Research Technologies, Office of Science and Research, NYU Langone Health, New York, New York 10016, USA
| | - Guomiao Shen
- Department of Pathology, NYU Grossman School of Medicine, New York, New York 10016, USA
| | - Xiaojun Feng
- Department of Pathology, NYU Grossman School of Medicine, New York, New York 10016, USA
| | - Megan S Hogan
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, New York 10016, USA.,Department of Pathology, NYU Grossman School of Medicine, New York, New York 10016, USA
| | - Manon Ragonnet-Cronin
- MRC Centre for Global Infectious Disease Analysis and Department of Infectious Disease Epidemiology, Imperial College London, London W2 1PG, United Kingdom
| | - Lily Geidelberg
- MRC Centre for Global Infectious Disease Analysis and Department of Infectious Disease Epidemiology, Imperial College London, London W2 1PG, United Kingdom
| | - Christian Marier
- Genome Technology Center, Division of Advanced Research Technologies, Office of Science and Research, NYU Langone Health, New York, New York 10016, USA
| | - Peter Meyn
- Genome Technology Center, Division of Advanced Research Technologies, Office of Science and Research, NYU Langone Health, New York, New York 10016, USA
| | - Yutong Zhang
- Genome Technology Center, Division of Advanced Research Technologies, Office of Science and Research, NYU Langone Health, New York, New York 10016, USA
| | - John Cadley
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, New York 10016, USA.,Department of Pathology, NYU Grossman School of Medicine, New York, New York 10016, USA
| | - Raquel Ordoñez
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, New York 10016, USA.,Department of Pathology, NYU Grossman School of Medicine, New York, New York 10016, USA
| | - Raven Luther
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, New York 10016, USA.,Department of Pathology, NYU Grossman School of Medicine, New York, New York 10016, USA
| | - Emily Huang
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, New York 10016, USA.,Department of Pathology, NYU Grossman School of Medicine, New York, New York 10016, USA
| | - Emily Guzman
- Genome Technology Center, Division of Advanced Research Technologies, Office of Science and Research, NYU Langone Health, New York, New York 10016, USA
| | | | - Kimon V Argyropoulos
- Department of Pathology, NYU Grossman School of Medicine, New York, New York 10016, USA
| | - Margaret Black
- Department of Pathology, NYU Grossman School of Medicine, New York, New York 10016, USA
| | - Antonio Serrano
- Department of Pathology, NYU Grossman School of Medicine, New York, New York 10016, USA
| | - Melissa E Call
- Department of Dermatology, NYU Grossman School of Medicine, New York, New York 10016, USA
| | - Min Jae Kim
- Department of Dermatology, NYU Grossman School of Medicine, New York, New York 10016, USA
| | - Brendan Belovarac
- Department of Pathology, NYU Grossman School of Medicine, New York, New York 10016, USA
| | - Tatyana Gindin
- Department of Pathology, NYU Grossman School of Medicine, New York, New York 10016, USA
| | - Andrew Lytle
- Department of Pathology, NYU Grossman School of Medicine, New York, New York 10016, USA
| | - Jared Pinnell
- Department of Pathology, NYU Grossman School of Medicine, New York, New York 10016, USA
| | | | - John Chen
- Medical Center IT, NYU Langone Health, New York, New York 10016, USA
| | - Lawrence H Lin
- Department of Pathology, NYU Grossman School of Medicine, New York, New York 10016, USA
| | - Amy Rapkiewicz
- Department of Pathology, NYU Grossman School of Medicine, New York, New York 10016, USA
| | - Vanessa Raabe
- Division of Infectious Diseases and Immunology, Department of Medicine and NYU Langone Vaccine Center, NYU Grossman School of Medicine, New York, New York 10016, USA
| | - Marie I Samanovic
- Division of Infectious Diseases and Immunology, Department of Medicine and NYU Langone Vaccine Center, NYU Grossman School of Medicine, New York, New York 10016, USA
| | - George Jour
- Department of Pathology, NYU Grossman School of Medicine, New York, New York 10016, USA.,Department of Dermatology, NYU Grossman School of Medicine, New York, New York 10016, USA
| | - Iman Osman
- Center for Biospecimen Research and Development, NYU Langone Health, New York, New York 10016, USA.,Department of Dermatology, NYU Grossman School of Medicine, New York, New York 10016, USA
| | | | - Mark J Mulligan
- Division of Infectious Diseases and Immunology, Department of Medicine and NYU Langone Vaccine Center, NYU Grossman School of Medicine, New York, New York 10016, USA
| | - Erik M Volz
- MRC Centre for Global Infectious Disease Analysis and Department of Infectious Disease Epidemiology, Imperial College London, London W2 1PG, United Kingdom
| | - Paolo Cotzia
- Department of Pathology, NYU Grossman School of Medicine, New York, New York 10016, USA.,Center for Biospecimen Research and Development, NYU Langone Health, New York, New York 10016, USA
| | - Matija Snuderl
- Department of Pathology, NYU Grossman School of Medicine, New York, New York 10016, USA
| | - Adriana Heguy
- Department of Pathology, NYU Grossman School of Medicine, New York, New York 10016, USA.,Genome Technology Center, Division of Advanced Research Technologies, Office of Science and Research, NYU Langone Health, New York, New York 10016, USA
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6
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Maurano MT, Ramaswami S, Zappile P, Dimartino D, Boytard L, Ribeiro-dos-Santos AM, Vulpescu NA, Westby G, Shen G, Feng X, Hogan MS, Ragonnet-Cronin M, Geidelberg L, Marier C, Meyn P, Zhang Y, Cadley J, Ordoñez R, Luther R, Huang E, Guzman E, Arguelles-Grande C, Argyropoulos KV, Black M, Serrano A, Call ME, Kim MJ, Belovarac B, Gindin T, Lytle A, Pinnell J, Vougiouklakis T, Chen J, Lin LH, Rapkiewicz A, Raabe V, Samanovic MI, Jour G, Osman I, Aguero-Rosenfeld M, Mulligan MJ, Volz EM, Cotzia P, Snuderl M, Heguy A. Sequencing identifies multiple early introductions of SARS-CoV-2 to the New York City Region. medRxiv 2020:2020.04.15.20064931. [PMID: 32511587 PMCID: PMC7276014 DOI: 10.1101/2020.04.15.20064931] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [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: 02/07/2023]
Abstract
Effective public response to a pandemic relies upon accurate measurement of the extent and dynamics of an outbreak. Viral genome sequencing has emerged as a powerful approach to link seemingly unrelated cases, and large-scale sequencing surveillance can inform on critical epidemiological parameters. Here, we report the analysis of 864 SARS-CoV-2 sequences from cases in the New York City metropolitan area during the COVID-19 outbreak in Spring 2020. The majority of cases had no recent travel history or known exposure, and genetically linked cases were spread throughout the region. Comparison to global viral sequences showed that early transmission was most linked to cases from Europe. Our data are consistent with numerous seeds from multiple sources and a prolonged period of unrecognized community spreading. This work highlights the complementary role of genomic surveillance in addition to traditional epidemiological indicators.
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Affiliation(s)
- Matthew T. Maurano
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, USA
- Department of Pathology, NYU Grossman School of Medicine, New York, USA
| | - Sitharam Ramaswami
- Genome Technology Center, Division of Advanced Research Technologies, Office of Science and Research, NYU Langone Health, New York, USA
| | - Paul Zappile
- Genome Technology Center, Division of Advanced Research Technologies, Office of Science and Research, NYU Langone Health, New York, USA
| | - Dacia Dimartino
- Genome Technology Center, Division of Advanced Research Technologies, Office of Science and Research, NYU Langone Health, New York, USA
| | - Ludovic Boytard
- Center for Biospecimen Research and Development, NYU Langone Health, New York, USA
| | - André M. Ribeiro-dos-Santos
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, USA
- Department of Pathology, NYU Grossman School of Medicine, New York, USA
| | - Nicholas A. Vulpescu
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, USA
- Department of Pathology, NYU Grossman School of Medicine, New York, USA
| | - Gael Westby
- Genome Technology Center, Division of Advanced Research Technologies, Office of Science and Research, NYU Langone Health, New York, USA
| | - Guomiao Shen
- Department of Pathology, NYU Grossman School of Medicine, New York, USA
| | - Xiaojun Feng
- Department of Pathology, NYU Grossman School of Medicine, New York, USA
| | - Megan S. Hogan
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, USA
- Department of Pathology, NYU Grossman School of Medicine, New York, USA
| | - Manon Ragonnet-Cronin
- MRC Centre for Global Infectious Disease Analysis and Department of Infectious Disease Epidemiology, Imperial College London
| | - Lily Geidelberg
- MRC Centre for Global Infectious Disease Analysis and Department of Infectious Disease Epidemiology, Imperial College London
| | - Christian Marier
- Genome Technology Center, Division of Advanced Research Technologies, Office of Science and Research, NYU Langone Health, New York, USA
| | - Peter Meyn
- Genome Technology Center, Division of Advanced Research Technologies, Office of Science and Research, NYU Langone Health, New York, USA
| | - Yutong Zhang
- Genome Technology Center, Division of Advanced Research Technologies, Office of Science and Research, NYU Langone Health, New York, USA
| | - John Cadley
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, USA
- Department of Pathology, NYU Grossman School of Medicine, New York, USA
| | - Raquel Ordoñez
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, USA
- Department of Pathology, NYU Grossman School of Medicine, New York, USA
| | - Raven Luther
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, USA
- Department of Pathology, NYU Grossman School of Medicine, New York, USA
| | - Emily Huang
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, USA
- Department of Pathology, NYU Grossman School of Medicine, New York, USA
| | - Emily Guzman
- Genome Technology Center, Division of Advanced Research Technologies, Office of Science and Research, NYU Langone Health, New York, USA
| | | | | | - Margaret Black
- Department of Pathology, NYU Grossman School of Medicine, New York, USA
| | - Antonio Serrano
- Department of Pathology, NYU Grossman School of Medicine, New York, USA
| | - Melissa E. Call
- Department of Dermatology, NYU Grossman School of Medicine, New York, USA
| | - Min Jae Kim
- Department of Dermatology, NYU Grossman School of Medicine, New York, USA
| | - Brendan Belovarac
- Department of Pathology, NYU Grossman School of Medicine, New York, USA
| | - Tatyana Gindin
- Department of Pathology, NYU Grossman School of Medicine, New York, USA
| | - Andrew Lytle
- Department of Pathology, NYU Grossman School of Medicine, New York, USA
| | - Jared Pinnell
- Department of Pathology, NYU Grossman School of Medicine, New York, USA
| | | | - John Chen
- Medical Center IT, NYU Langone Health, New York, USA
| | - Lawrence H. Lin
- Department of Pathology, NYU Grossman School of Medicine, New York, USA
| | - Amy Rapkiewicz
- Department of Pathology, NYU Grossman School of Medicine, New York, USA
| | - Vanessa Raabe
- Division of Infectious Diseases and Immunology, Department of Medicine and NYU Langone Vaccine Center, NYU Grossman School of Medicine, New York, USA
| | | | - George Jour
- Department of Pathology, NYU Grossman School of Medicine, New York, USA
- Department of Dermatology, NYU Grossman School of Medicine, New York, USA
| | - Iman Osman
- Center for Biospecimen Research and Development, NYU Langone Health, New York, USA
- Department of Dermatology, NYU Grossman School of Medicine, New York, USA
| | | | - Mark J. Mulligan
- Division of Infectious Diseases and Immunology, Department of Medicine and NYU Langone Vaccine Center, NYU Grossman School of Medicine, New York, USA
| | - Erik M. Volz
- MRC Centre for Global Infectious Disease Analysis and Department of Infectious Disease Epidemiology, Imperial College London
| | - Paolo Cotzia
- Department of Pathology, NYU Grossman School of Medicine, New York, USA
- Center for Biospecimen Research and Development, NYU Langone Health, New York, USA
| | - Matija Snuderl
- Department of Pathology, NYU Grossman School of Medicine, New York, USA
| | - Adriana Heguy
- Department of Pathology, NYU Grossman School of Medicine, New York, USA
- Genome Technology Center, Division of Advanced Research Technologies, Office of Science and Research, NYU Langone Health, New York, USA
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7
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Hogan MS, Parfitt DE, Zepeda-Mendoza CJ, Shen MM, Spector DL. Transient pairing of homologous Oct4 alleles accompanies the onset of embryonic stem cell differentiation. Cell Stem Cell 2016; 16:275-88. [PMID: 25748933 DOI: 10.1016/j.stem.2015.02.001] [Citation(s) in RCA: 42] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2013] [Revised: 12/03/2014] [Accepted: 02/02/2015] [Indexed: 12/21/2022]
Abstract
The relationship between chromatin organization and transcriptional regulation is an area of intense investigation. We characterized the spatial relationships between alleles of the Oct4, Sox2, and Nanog genes in single cells during the earliest stages of mouse embryonic stem cell (ESC) differentiation and during embryonic development. We describe homologous pairing of the Oct4 alleles during ESC differentiation and embryogenesis, and we present evidence that pairing is correlated with the kinetics of ESC differentiation. Importantly, we identify critical DNA elements within the Oct4 promoter/enhancer region that mediate pairing of Oct4 alleles. Finally, we show that mutation of OCT4/SOX2 binding sites within this region abolishes inter-chromosomal interactions and affects accumulation of the repressive H3K9me2 modification at the Oct4 enhancer. Our findings demonstrate that chromatin organization and transcriptional programs are intimately connected in ESCs and that the dynamic positioning of the Oct4 alleles is associated with the transition from pluripotency to lineage specification.
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Affiliation(s)
- Megan S Hogan
- Cold Spring Harbor Laboratory, Watson School of Biological Sciences, One Bungtown Road, Cold Spring Harbor, NY 11724, USA
| | - David-Emlyn Parfitt
- Departments of Medicine and Genetics & Development, Columbia University Medical Center, New York, NY 10032, USA
| | - Cinthya J Zepeda-Mendoza
- Cold Spring Harbor Laboratory, Watson School of Biological Sciences, One Bungtown Road, Cold Spring Harbor, NY 11724, USA
| | - Michael M Shen
- Departments of Medicine and Genetics & Development, Columbia University Medical Center, New York, NY 10032, USA
| | - David L Spector
- Cold Spring Harbor Laboratory, Watson School of Biological Sciences, One Bungtown Road, Cold Spring Harbor, NY 11724, USA.
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