<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Laks E</submitter><funding>Terry Fox Research Institute</funding><funding>Cancer Research UK</funding><funding>NCI NIH HHS</funding><funding>Canadian Institutes of Health Research</funding><funding>Canadian Cancer Society Research Institute</funding><pagination>1207-1221.e22</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC6912164</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>179(5)</volume><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</pubmed_abstract><journal>Cell</journal><pubmed_title>Clonal Decomposition and DNA Replication States Defined by Scaled Single-Cell Genome Sequencing.</pubmed_title><pmcid>PMC6912164</pmcid><funding_grant_id>S_4073</funding_grant_id><funding_grant_id>S_3409</funding_grant_id><funding_grant_id>24042</funding_grant_id><funding_grant_id>P30 CA008748</funding_grant_id><funding_grant_id>21143</funding_grant_id><funding_grant_id>S_3417</funding_grant_id><pubmed_authors>Grewal D</pubmed_authors><pubmed_authors>Gelmon K</pubmed_authors><pubmed_authors>Greenwood W</pubmed_authors><pubmed_authors>Shah SP</pubmed_authors><pubmed_authors>Duran LS</pubmed_authors><pubmed_authors>Shah S</pubmed_authors><pubmed_authors>Biele J</pubmed_authors><pubmed_authors>Williams E</pubmed_authors><pubmed_authors>Alon S</pubmed_authors><pubmed_authors>Walters 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Y</pubmed_authors><pubmed_authors>Steidl C</pubmed_authors><pubmed_authors>Jauset C</pubmed_authors><pubmed_authors>Chavez E</pubmed_authors><pubmed_authors>Emenari A</pubmed_authors><pubmed_authors>Huebner C</pubmed_authors><pubmed_authors>Lai D</pubmed_authors><pubmed_authors>Mulvey C</pubmed_authors><pubmed_authors>Ribes MP</pubmed_authors><pubmed_authors>Wiens M</pubmed_authors><pubmed_authors>Millar N</pubmed_authors><pubmed_authors>Ma Y</pubmed_authors><pubmed_authors>Pleasance S</pubmed_authors><pubmed_authors>Boyden E</pubmed_authors><pubmed_authors>Vazquez-Garcia I</pubmed_authors><pubmed_authors>Becker R</pubmed_authors><pubmed_authors>Dariush A</pubmed_authors><pubmed_authors>Abrar N</pubmed_authors><pubmed_authors>Kovacevic T</pubmed_authors><pubmed_authors>Yoldas AK</pubmed_authors><pubmed_authors>Marti A</pubmed_authors><pubmed_authors>Bressan D</pubmed_authors><pubmed_authors>Kunes R</pubmed_authors><pubmed_authors>Al Sa'd M</pubmed_authors><pubmed_authors>Hansen C</pubmed_authors><pubmed_authors>Ruiz de Algara T</pubmed_authors><pubmed_authors>Harris O</pubmed_authors><pubmed_authors>Smith A</pubmed_authors><pubmed_authors>Harris S</pubmed_authors><pubmed_authors>Zhuang X</pubmed_authors><pubmed_authors>Moore R</pubmed_authors><pubmed_authors>Ting J</pubmed_authors><pubmed_authors>Rueda O</pubmed_authors><pubmed_authors>Pearsall I</pubmed_authors><pubmed_authors>Wild S</pubmed_authors><pubmed_authors>Smith M</pubmed_authors><pubmed_authors>Callari M</pubmed_authors><pubmed_authors>Lerda G</pubmed_authors><pubmed_authors>Hausser J</pubmed_authors><pubmed_authors>Karagiannis E</pubmed_authors><pubmed_authors>Windager J</pubmed_authors><pubmed_authors>Leung S</pubmed_authors></additional><is_claimable>false</is_claimable><name>Clonal Decomposition and DNA Replication States Defined by Scaled Single-Cell Genome Sequencing.</name><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</description><dates><release>2019-01-01T00:00:00Z</release><publication>2019 Nov</publication><modification>2026-05-01T10:15:32.795Z</modification><creation>2025-05-29T22:05:37.688Z</creation></dates><accession>S-EPMC6912164</accession><cross_references><pubmed>31730858</pubmed><doi>10.1016/j.cell.2019.10.026</doi></cross_references></HashMap>