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dc.contributor.authorEngreitz, Jesse Michael
dc.contributor.authorAgarwala, Vineeta
dc.contributor.authorMirny, Leonid A.
dc.date.accessioned2013-01-28T14:59:30Z
dc.date.available2013-01-28T14:59:30Z
dc.date.issued2012-09
dc.date.submitted2012-04
dc.identifier.issn1932-6203
dc.identifier.urihttp://hdl.handle.net/1721.1/76617
dc.description.abstractChromosomal translocations are frequent features of cancer genomes that contribute to disease progression. These rearrangements result from formation and illegitimate repair of DNA double-strand breaks (DSBs), a process that requires spatial colocalization of chromosomal breakpoints. The “contact first” hypothesis suggests that translocation partners colocalize in the nuclei of normal cells, prior to rearrangement. It is unclear, however, the extent to which spatial interactions based on three-dimensional genome architecture contribute to chromosomal rearrangements in human disease. Here we intersect Hi-C maps of three-dimensional chromosome conformation with collections of 1,533 chromosomal translocations from cancer and germline genomes. We show that many translocation-prone pairs of regions genome-wide, including the cancer translocation partners BCR-ABL and MYC-IGH, display elevated Hi-C contact frequencies in normal human cells. Considering tissue specificity, we find that translocation breakpoints reported in human hematologic malignancies have higher Hi-C contact frequencies in lymphoid cells than those reported in sarcomas and epithelial tumors. However, translocations from multiple tissue types show significant correlation with Hi-C contact frequencies, suggesting that both tissue-specific and universal features of chromatin structure contribute to chromosomal alterations. Our results demonstrate that three-dimensional genome architecture shapes the landscape of rearrangements directly observed in human disease and establish Hi-C as a key method for dissecting these effects.en_US
dc.description.sponsorshipNational Human Genome Research Institute (U.S.) (grant T32 HG002295)en_US
dc.description.sponsorshipUnited States. Dept. of Defense (National Defense Science and Engineering Graduate Fellowship Program)en_US
dc.description.sponsorshipFannie and John Hertz Foundationen_US
dc.description.sponsorshipNational Institute of General Medical Sciences (U.S.) (grant 5T32 GM008313)en_US
dc.description.sponsorshipNational Institute of General Medical Sciences (U.S.) (Medical Scientist Training Program)en_US
dc.language.isoen_US
dc.publisherPublic Library of Scienceen_US
dc.relation.isversionofhttp://dx.doi.org/10.1371/journal.pone.0044196en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttp://creativecommons.org/licenses/by/2.5/en_US
dc.sourcePLoSen_US
dc.titleThree-Dimensional Genome Architecture Influences Partner Selection for Chromosomal Translocations in Human Diseaseen_US
dc.typeArticleen_US
dc.identifier.citationEngreitz, Jesse M., Vineeta Agarwala, and Leonid A. Mirny. “Three-Dimensional Genome Architecture Influences Partner Selection for Chromosomal Translocations in Human Disease.” Ed. Shawn Ahmed. PLoS ONE 7.9 (2012): e44196. Web.en_US
dc.contributor.departmentHarvard University--MIT Division of Health Sciences and Technologyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Physicsen_US
dc.contributor.mitauthorEngreitz, Jesse Michael
dc.contributor.mitauthorAgarwala, Vineeta
dc.contributor.mitauthorMirny, Leonid A.
dc.relation.journalPLoS Oneen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsEngreitz, Jesse M.; Agarwala, Vineeta; Mirny, Leonid A.en
dc.identifier.orcidhttps://orcid.org/0000-0002-5754-1719
dc.identifier.orcidhttps://orcid.org/0000-0002-0785-5410
mit.licensePUBLISHER_CCen_US
mit.metadata.statusComplete


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