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dc.contributor.authorAkgol Oksuz, Betul
dc.contributor.authorYang, Liyan
dc.contributor.authorAbraham, Sameer
dc.contributor.authorVenev, Sergey V
dc.contributor.authorKrietenstein, Nils
dc.contributor.authorParsi, Krishna Mohan
dc.contributor.authorOzadam, Hakan
dc.contributor.authorOomen, Marlies E.
dc.contributor.authorNand, Ankita
dc.contributor.authorMao, Hui
dc.contributor.authorGenga, Ryan
dc.contributor.authorMaehr, Rene
dc.contributor.authorRando, Oliver J.
dc.contributor.authorMirny, Leonid A.
dc.contributor.authorGibcus, Johan H
dc.contributor.authorDekker, Job
dc.date2022-08-11T08:10:18.000
dc.date.accessioned2022-08-23T17:03:23Z
dc.date.available2022-08-23T17:03:23Z
dc.date.issued2021-09-03
dc.date.submitted2021-10-11
dc.identifier.citation<p>Akgol Oksuz B, Yang L, Abraham S, Venev SV, Krietenstein N, Parsi KM, Ozadam H, Oomen ME, Nand A, Mao H, Genga RMJ, Maehr R, Rando OJ, Mirny LA, Gibcus JH, Dekker J. Systematic evaluation of chromosome conformation capture assays. Nat Methods. 2021 Sep;18(9):1046-1055. doi: 10.1038/s41592-021-01248-7. Epub 2021 Sep 3. PMID: 34480151; PMCID: PMC8446342. <a href="https://doi.org/10.1038/s41592-021-01248-7">Link to article on publisher's site</a></p>
dc.identifier.issn1548-7091 (Linking)
dc.identifier.doi10.1038/s41592-021-01248-7
dc.identifier.pmid34480151
dc.identifier.urihttp://hdl.handle.net/20.500.14038/44415
dc.description<p>This article is based on a previously available preprint on <a href="https://doi.org/10.1101/2020.12.26.424448" target="_blank" title="view preprint in bioRxiv">bioRxiv</a> that is also available in <a href="https://escholarship.umassmed.edu/faculty_pubs/1868/" target="_blank" title="view preprint in eScholarship">eScholarship@UMMS</a>.</p>
dc.description.abstractChromosome conformation capture (3C) assays are used to map chromatin interactions genome-wide. Chromatin interaction maps provide insights into the spatial organization of chromosomes and the mechanisms by which they fold. Hi-C and Micro-C are widely used 3C protocols that differ in key experimental parameters including cross-linking chemistry and chromatin fragmentation strategy. To understand how the choice of experimental protocol determines the ability to detect and quantify aspects of chromosome folding we have performed a systematic evaluation of 3C experimental parameters. We identified optimal protocol variants for either loop or compartment detection, optimizing fragment size and cross-linking chemistry. We used this knowledge to develop a greatly improved Hi-C protocol (Hi-C 3.0) that can detect both loops and compartments relatively effectively. In addition to providing benchmarked protocols, this work produced ultra-deep chromatin interaction maps using Micro-C, conventional Hi-C and Hi-C 3.0 for key cell lines used by the 4D Nucleome project.
dc.language.isoen_US
dc.relation<p><a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=34480151&dopt=Abstract">Link to Article in PubMed</a></p>
dc.rights© The Author(s), under exclusive licence to Springer Nature America, Inc. 2021. Open Access: This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectGenomic analysis
dc.subjectGenomics
dc.subjectBiochemistry, Biophysics, and Structural Biology
dc.subjectGenetics and Genomics
dc.titleSystematic evaluation of chromosome conformation capture assays
dc.typeJournal Article
dc.source.journaltitleNature methods
dc.source.volume18
dc.source.issue9
dc.identifier.legacyfulltexthttps://escholarship.umassmed.edu/cgi/viewcontent.cgi?article=1149&amp;context=pmm_pp&amp;unstamped=1
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/pmm_pp/149
dc.identifier.contextkey25377188
refterms.dateFOA2022-08-23T17:03:24Z
html.description.abstract<p>Chromosome conformation capture (3C) assays are used to map chromatin interactions genome-wide. Chromatin interaction maps provide insights into the spatial organization of chromosomes and the mechanisms by which they fold. Hi-C and Micro-C are widely used 3C protocols that differ in key experimental parameters including cross-linking chemistry and chromatin fragmentation strategy. To understand how the choice of experimental protocol determines the ability to detect and quantify aspects of chromosome folding we have performed a systematic evaluation of 3C experimental parameters. We identified optimal protocol variants for either loop or compartment detection, optimizing fragment size and cross-linking chemistry. We used this knowledge to develop a greatly improved Hi-C protocol (Hi-C 3.0) that can detect both loops and compartments relatively effectively. In addition to providing benchmarked protocols, this work produced ultra-deep chromatin interaction maps using Micro-C, conventional Hi-C and Hi-C 3.0 for key cell lines used by the 4D Nucleome project.</p>
dc.identifier.submissionpathpmm_pp/149
dc.contributor.departmentGraduate School of Biomedical Sciences
dc.contributor.departmentDiabetes Center of Excellence
dc.contributor.departmentProgram in Molecular Medicine
dc.contributor.departmentDepartment of Biochemistry and Molecular Pharmacology
dc.contributor.departmentProgram in Systems Biology
dc.source.pages1046-1055


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© The Author(s), under exclusive licence to Springer Nature America, Inc. 2021. Open Access: This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to
the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Except where otherwise noted, this item's license is described as © The Author(s), under exclusive licence to Springer Nature America, Inc. 2021. Open Access: This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.