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dc.contributor.authorHainer, Sarah J.
dc.contributor.authorBoskovic, Ana
dc.contributor.authorRando, Oliver J.
dc.contributor.authorFazzio, Thomas G
dc.date2022-08-11T08:08:23.000
dc.date.accessioned2022-08-23T15:53:04Z
dc.date.available2022-08-23T15:53:04Z
dc.date.issued2018-03-21
dc.date.submitted2018-06-06
dc.identifier.citation<p>bioRxiv 286351; doi: https://doi.org/10.1101/286351. <a href="https://doi.org/10.1101/286351" target="_blank">Link to preprint on bioRxiv service.</a></p>
dc.identifier.doi10.1101/286351
dc.identifier.urihttp://hdl.handle.net/20.500.14038/29277
dc.description.abstractMajor cell fate decisions are governed by sequence-specific transcription factors (TFs) that act in small cell populations within developing embryos. To understand how TFs regulate cell fate it is important to identify their genomic binding sites in these populations. However, current methods cannot profile TFs genome-wide at or near the single cell level. Here we adapt the CUT&RUN method to profile chromatin proteins in low cell numbers, mapping TF-DNA interactions in single cells and individual pre-implantation embryos for the first time. Using this method, we demonstrate that the pluripotency TF NANOG is significantly more dependent on the SWI/SNF family ATPase BRG1 for association with its genomic targets in vivo than in cultured cells, a finding that could not have been made using traditional approaches. Ultra-low input CUT&RUN (uliCUT&RUN) enables interrogation of TF binding from low cell numbers, with broad applicability to rare cell populations of importance in development or disease.
dc.language.isoen_US
dc.relationNow published in Cell doi: 10.1016/j.cell.2019.03.014
dc.rightsThe copyright holder for this preprint (which was not peer-reviewed) is the author/funder. It is made available under a CC-BY-NC-ND 4.0 International license.
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectpluripotency
dc.subjectstem cells
dc.subjectembryos
dc.subjectgenomics
dc.subjectCell Biology
dc.subjectCells
dc.subjectDevelopmental Biology
dc.subjectEmbryonic Structures
dc.subjectGenomics
dc.titleProfiling of pluripotency factors in individual stem cells and early embryos [preprint]
dc.typePreprint
dc.source.journaltitlebioRxiv
dc.identifier.legacyfulltexthttps://escholarship.umassmed.edu/cgi/viewcontent.cgi?article=2512&amp;context=faculty_pubs&amp;unstamped=1
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/faculty_pubs/1506
dc.identifier.contextkey12265782
refterms.dateFOA2022-08-23T15:53:04Z
html.description.abstract<p>Major cell fate decisions are governed by sequence-specific transcription factors (TFs) that act in small cell populations within developing embryos. To understand how TFs regulate cell fate it is important to identify their genomic binding sites in these populations. However, current methods cannot profile TFs genome-wide at or near the single cell level. Here we adapt the CUT&RUN method to profile chromatin proteins in low cell numbers, mapping TF-DNA interactions in single cells and individual pre-implantation embryos for the first time. Using this method, we demonstrate that the pluripotency TF NANOG is significantly more dependent on the SWI/SNF family ATPase BRG1 for association with its genomic targets in vivo than in cultured cells, a finding that could not have been made using traditional approaches. Ultra-low input CUT&RUN (uliCUT&RUN) enables interrogation of TF binding from low cell numbers, with broad applicability to rare cell populations of importance in development or disease.</p>
dc.identifier.submissionpathfaculty_pubs/1506
dc.contributor.departmentDepartment of Biochemistry and Molecular Pharmacology
dc.contributor.departmentDepartment of Molecular, Cell, and Cancer Biology


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The copyright holder for this preprint (which was not peer-reviewed) is the author/funder. It is made available under a CC-BY-NC-ND 4.0 International license.
Except where otherwise noted, this item's license is described as The copyright holder for this preprint (which was not peer-reviewed) is the author/funder. It is made available under a CC-BY-NC-ND 4.0 International license.