Single-cell multiomics sequencing and analyses of human colorectal cancer
Although genomic instability, epigenetic abnormality, and gene expression dysregulation are hallmarks of colorectal cancer, these features have not been simultaneously analyzed at single-cell resolution. Using optimized single-cell multiomics sequencing together with multiregional sampling of the pr...
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Veröffentlicht in: | Science (American Association for the Advancement of Science) 2018-11, Vol.362 (6418), p.1060-1063 |
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creator | Bian, Shuhui Hou, Yu Zhou, Xin Li, Xianlong Yong, Jun Wang, Yicheng Wang, Wendong Yan, Jia Hu, Boqiang Guo, Hongshan Wang, Jilian Gao, Shuai Mao, Yunuo Dong, Ji Zhu, Ping Xiu, Dianrong Yan, Liying Wen, Lu Qiao, Jie Tang, Fuchou Fu, Wei |
description | Although genomic instability, epigenetic abnormality, and gene expression dysregulation are hallmarks of colorectal cancer, these features have not been simultaneously analyzed at single-cell resolution. Using optimized single-cell multiomics sequencing together with multiregional sampling of the primary tumor and lymphatic and distant metastases, we developed insights beyond intratumoral heterogeneity. Genome-wide DNA methylation levels were relatively consistent within a single genetic sublineage. The genome-wide DNA demethylation patterns of cancer cells were consistent in all 10 patients whose DNA we sequenced. The cancer cells' DNA demethylation degrees clearly correlated with the densities of the heterochromatin-associated histone modification H3K9me3 of normal tissue and those of repetitive element long interspersed nuclear element 1. Our work demonstrates the feasibility of reconstructing genetic lineages and tracing their epigenomic and transcriptomic dynamics with single-cell multiomics sequencing. |
doi_str_mv | 10.1126/science.aao3791 |
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Using optimized single-cell multiomics sequencing together with multiregional sampling of the primary tumor and lymphatic and distant metastases, we developed insights beyond intratumoral heterogeneity. Genome-wide DNA methylation levels were relatively consistent within a single genetic sublineage. The genome-wide DNA demethylation patterns of cancer cells were consistent in all 10 patients whose DNA we sequenced. The cancer cells' DNA demethylation degrees clearly correlated with the densities of the heterochromatin-associated histone modification H3K9me3 of normal tissue and those of repetitive element long interspersed nuclear element 1. Our work demonstrates the feasibility of reconstructing genetic lineages and tracing their epigenomic and transcriptomic dynamics with single-cell multiomics sequencing.</description><identifier>ISSN: 0036-8075</identifier><identifier>EISSN: 1095-9203</identifier><identifier>DOI: 10.1126/science.aao3791</identifier><identifier>PMID: 30498128</identifier><language>eng</language><publisher>United States: The American Association for the Advancement of Science</publisher><subject>Biological evolution ; Cancer ; Colon ; Colon cancer ; Colorectal cancer ; Colorectal carcinoma ; Colorectal Neoplasms - genetics ; Demethylation ; Deoxyribonucleic acid ; DNA ; DNA Methylation ; Epigenomics - methods ; Feasibility studies ; Female ; Gene expression ; Genetics ; Genome-Wide Association Study ; Genomes ; Genomic instability ; Heterochromatin ; Heterogeneity ; Histones ; Humans ; Male ; Metastases ; Metastasis ; Mutation ; Nucleotide sequence ; Patients ; Sequence Analysis, DNA ; Single-Cell Analysis - methods ; Stability ; Tumors</subject><ispartof>Science (American Association for the Advancement of Science), 2018-11, Vol.362 (6418), p.1060-1063</ispartof><rights>Copyright © 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. 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No claim to original U.S. Government Works</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c366t-bc65d15571eda1b1fba8fc05fbe9f7e131f578ba12c0c7f075fea8241860b843</citedby><cites>FETCH-LOGICAL-c366t-bc65d15571eda1b1fba8fc05fbe9f7e131f578ba12c0c7f075fea8241860b843</cites><orcidid>0000-0002-3770-2108 ; 0000-0002-2045-3619 ; 0000-0002-3951-6931 ; 0000-0002-4048-4017 ; 0000-0002-8631-3109 ; 0000-0002-6203-0016 ; 0000-0003-2799-2989 ; 0000-0001-5248-7891 ; 0000-0002-8208-9197 ; 0000-0001-7875-7087 ; 0000-0003-1428-270X ; 0000-0002-8625-7717 ; 0000-0001-7745-2695 ; 0000-0002-3901-1482 ; 0000-0003-2126-1376 ; 0000-0002-9662-113X ; 0000-0001-9572-9440</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,781,785,2885,2886,27929,27930</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30498128$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bian, Shuhui</creatorcontrib><creatorcontrib>Hou, Yu</creatorcontrib><creatorcontrib>Zhou, Xin</creatorcontrib><creatorcontrib>Li, Xianlong</creatorcontrib><creatorcontrib>Yong, Jun</creatorcontrib><creatorcontrib>Wang, Yicheng</creatorcontrib><creatorcontrib>Wang, Wendong</creatorcontrib><creatorcontrib>Yan, Jia</creatorcontrib><creatorcontrib>Hu, Boqiang</creatorcontrib><creatorcontrib>Guo, Hongshan</creatorcontrib><creatorcontrib>Wang, Jilian</creatorcontrib><creatorcontrib>Gao, Shuai</creatorcontrib><creatorcontrib>Mao, Yunuo</creatorcontrib><creatorcontrib>Dong, Ji</creatorcontrib><creatorcontrib>Zhu, Ping</creatorcontrib><creatorcontrib>Xiu, Dianrong</creatorcontrib><creatorcontrib>Yan, Liying</creatorcontrib><creatorcontrib>Wen, Lu</creatorcontrib><creatorcontrib>Qiao, Jie</creatorcontrib><creatorcontrib>Tang, Fuchou</creatorcontrib><creatorcontrib>Fu, Wei</creatorcontrib><title>Single-cell multiomics sequencing and analyses of human colorectal cancer</title><title>Science (American Association for the Advancement of Science)</title><addtitle>Science</addtitle><description>Although genomic instability, epigenetic abnormality, and gene expression dysregulation are hallmarks of colorectal cancer, these features have not been simultaneously analyzed at single-cell resolution. Using optimized single-cell multiomics sequencing together with multiregional sampling of the primary tumor and lymphatic and distant metastases, we developed insights beyond intratumoral heterogeneity. Genome-wide DNA methylation levels were relatively consistent within a single genetic sublineage. The genome-wide DNA demethylation patterns of cancer cells were consistent in all 10 patients whose DNA we sequenced. The cancer cells' DNA demethylation degrees clearly correlated with the densities of the heterochromatin-associated histone modification H3K9me3 of normal tissue and those of repetitive element long interspersed nuclear element 1. Our work demonstrates the feasibility of reconstructing genetic lineages and tracing their epigenomic and transcriptomic dynamics with single-cell multiomics sequencing.</description><subject>Biological evolution</subject><subject>Cancer</subject><subject>Colon</subject><subject>Colon cancer</subject><subject>Colorectal cancer</subject><subject>Colorectal carcinoma</subject><subject>Colorectal Neoplasms - genetics</subject><subject>Demethylation</subject><subject>Deoxyribonucleic acid</subject><subject>DNA</subject><subject>DNA Methylation</subject><subject>Epigenomics - methods</subject><subject>Feasibility studies</subject><subject>Female</subject><subject>Gene expression</subject><subject>Genetics</subject><subject>Genome-Wide Association Study</subject><subject>Genomes</subject><subject>Genomic instability</subject><subject>Heterochromatin</subject><subject>Heterogeneity</subject><subject>Histones</subject><subject>Humans</subject><subject>Male</subject><subject>Metastases</subject><subject>Metastasis</subject><subject>Mutation</subject><subject>Nucleotide sequence</subject><subject>Patients</subject><subject>Sequence Analysis, DNA</subject><subject>Single-Cell Analysis - 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subjects | Biological evolution Cancer Colon Colon cancer Colorectal cancer Colorectal carcinoma Colorectal Neoplasms - genetics Demethylation Deoxyribonucleic acid DNA DNA Methylation Epigenomics - methods Feasibility studies Female Gene expression Genetics Genome-Wide Association Study Genomes Genomic instability Heterochromatin Heterogeneity Histones Humans Male Metastases Metastasis Mutation Nucleotide sequence Patients Sequence Analysis, DNA Single-Cell Analysis - methods Stability Tumors |
title | Single-cell multiomics sequencing and analyses of human colorectal cancer |
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