{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Laks E"],"funding":["Terry Fox Research Institute","Cancer Research UK","NCI NIH HHS","Canadian Institutes of Health Research","Canadian Cancer Society Research Institute"],"pagination":["1207-1221.e22"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC6912164"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["179(5)"],"pubmed_abstract":["Accurate measurement of clonal genotypes, mutational processes, and replication states from individual tumor-cell genomes will facilitate improved understanding of tumor evolution. We have developed DLP+, a scalable single-cell whole-genome sequencing platform implemented using commodity instruments, image-based object recognition, and open source computational methods. Using DLP+, we have generated a resource of 51,926 single-cell genomes and matched cell images from diverse cell types including cell lines, xenografts, and diagnostic samples with limited material. From this resource we have defined variation in mitotic mis-segregation rates across tissue types and genotypes. Analysis of matched genomic and image measurements revealed correlations between cellular morphology and genome plo"],"journal":["Cell"],"pubmed_title":["Clonal Decomposition and DNA Replication States Defined by Scaled Single-Cell Genome Sequencing."],"pmcid":["PMC6912164"],"funding_grant_id":["S_4073","S_3409","24042","P30 CA008748","21143","S_3417"],"pubmed_authors":["Grewal D","Gelmon K","Greenwood W","Shah SP","Duran LS","Shah S","Biele J","Williams E","Alon S","Walters P","Underhill TM","Cannell I","Martin L","Walton NA","Ngo J","Gonzalez-Fernandez C","Chan T","Chan S","Wassie AT","Bruna A","Eirew P","Battistoni G","Poon S","CRUK IMAXT Grand Challenge Team","Nielsen C","Burger M","Zheng P","Fisher E","Shea A","Vogl S","Qosaj F","Casbolt H","Tietscher S","Lee M","Corbett R","Hannon GJ","Scott RW","Lee H","Solares EG","Steif A","Marra MA","Fan J","Chornay N","Kabeer F","Balasubramanian S","Vatrt-Watts S","McPherson A","Bodenmiller B","Lubling Y","Zahn H","Caldas C","Chia S","Bojilova V","Cui Y","O'Flanagan C","Brimhall J","Lee SR","Sawicka K","Da Costa D","Sinha A","Wang B","Watson S","Golovko O","Ruiz T","Joyce JA","Mar C","Aparicio S","Dinh K","Goodwin D","Masud T","Coope RJN","Tavare S","Xia C","Laks E","Taghiyar MJ","Mungall AJ","Grimaldi F","Cafferty F","Kuett L","Nugent F","Li Y","Steidl C","Jauset C","Chavez E","Emenari A","Huebner C","Lai D","Mulvey C","Ribes MP","Wiens M","Millar N","Ma Y","Pleasance S","Boyden E","Vazquez-Garcia I","Becker R","Dariush A","Abrar N","Kovacevic T","Yoldas AK","Marti A","Bressan D","Kunes R","Al Sa'd M","Hansen C","Ruiz de Algara T","Harris O","Smith A","Harris S","Zhuang X","Moore R","Ting J","Rueda O","Pearsall I","Wild S","Smith M","Callari M","Lerda G","Hausser J","Karagiannis E","Windager J","Leung S"],"additional_accession":[]},"is_claimable":false,"name":"Clonal Decomposition and DNA Replication States Defined by Scaled Single-Cell Genome Sequencing.","description":"Accurate measurement of clonal genotypes, mutational processes, and replication states from individual tumor-cell genomes will facilitate improved understanding of tumor evolution. We have developed DLP+, a scalable single-cell whole-genome sequencing platform implemented using commodity instruments, image-based object recognition, and open source computational methods. Using DLP+, we have generated a resource of 51,926 single-cell genomes and matched cell images from diverse cell types including cell lines, xenografts, and diagnostic samples with limited material. From this resource we have defined variation in mitotic mis-segregation rates across tissue types and genotypes. Analysis of matched genomic and image measurements revealed correlations between cellular morphology and genome plo","dates":{"release":"2019-01-01T00:00:00Z","publication":"2019 Nov","modification":"2026-05-01T10:15:32.795Z","creation":"2025-05-29T22:05:37.688Z"},"accession":"S-EPMC6912164","cross_references":{"pubmed":["31730858"],"doi":["10.1016/j.cell.2019.10.026"]}}