A comprehensive transcriptional portrait of human cancer cell lines
A comprehensive analysis of RNA sequencing and single-nucleotide polymorphism (SNP) array data provides new insights into the biology of 675 human cancer cell lines Tumor-derived cell lines have served as vital models to advance our understanding of oncogene function and therapeutic responses. Altho...
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Veröffentlicht in: | Nature biotechnology 2015-03, Vol.33 (3), p.306-312 |
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creator | Klijn, Christiaan Durinck, Steffen Stawiski, Eric W Haverty, Peter M Jiang, Zhaoshi Liu, Hanbin Degenhardt, Jeremiah Mayba, Oleg Gnad, Florian Liu, Jinfeng Pau, Gregoire Reeder, Jens Cao, Yi Mukhyala, Kiran Selvaraj, Suresh K Yu, Mamie Zynda, Gregory J Brauer, Matthew J Wu, Thomas D Gentleman, Robert C Manning, Gerard Yauch, Robert L Bourgon, Richard Stokoe, David Modrusan, Zora Neve, Richard M de Sauvage, Frederic J Settleman, Jeffrey Seshagiri, Somasekar Zhang, Zemin |
description | A comprehensive analysis of RNA sequencing and single-nucleotide polymorphism (SNP) array data provides new insights into the biology of 675 human cancer cell lines
Tumor-derived cell lines have served as vital models to advance our understanding of oncogene function and therapeutic responses. Although substantial effort has been made to define the genomic constitution of cancer cell line panels, the transcriptome remains understudied. Here we describe RNA sequencing and single-nucleotide polymorphism (SNP) array analysis of 675 human cancer cell lines. We report comprehensive analyses of transcriptome features including gene expression, mutations, gene fusions and expression of non-human sequences. Of the 2,200 gene fusions catalogued, 1,435 consist of genes not previously found in fusions, providing many leads for further investigation. We combine multiple genome and transcriptome features in a pathway-based approach to enhance prediction of response to targeted therapeutics. Our results provide a valuable resource for studies that use cancer cell lines. |
doi_str_mv | 10.1038/nbt.3080 |
format | Article |
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Tumor-derived cell lines have served as vital models to advance our understanding of oncogene function and therapeutic responses. Although substantial effort has been made to define the genomic constitution of cancer cell line panels, the transcriptome remains understudied. Here we describe RNA sequencing and single-nucleotide polymorphism (SNP) array analysis of 675 human cancer cell lines. We report comprehensive analyses of transcriptome features including gene expression, mutations, gene fusions and expression of non-human sequences. Of the 2,200 gene fusions catalogued, 1,435 consist of genes not previously found in fusions, providing many leads for further investigation. We combine multiple genome and transcriptome features in a pathway-based approach to enhance prediction of response to targeted therapeutics. Our results provide a valuable resource for studies that use cancer cell lines.</description><identifier>ISSN: 1087-0156</identifier><identifier>EISSN: 1546-1696</identifier><identifier>DOI: 10.1038/nbt.3080</identifier><identifier>PMID: 25485619</identifier><language>eng</language><publisher>New York: Nature Publishing Group US</publisher><subject>13/89 ; 38 ; 45/22 ; 45/90 ; 45/91 ; 631/114/2785 ; 631/67/69 ; 631/67/70 ; 692/699/67/69 ; Agriculture ; Base Sequence ; Bioinformatics ; Biomedical Engineering/Biotechnology ; Biomedicine ; Biotechnology ; Cancer ; Cancer cells ; Cell Line, Tumor ; Cell lines ; Cells ; Cluster Analysis ; Gene Expression Regulation, Neoplastic ; Gene Regulatory Networks ; Genetic aspects ; Genetic research ; Genetic transcription ; Health aspects ; Humans ; Life Sciences ; Mutation ; Mutation - genetics ; Neoplasms - genetics ; Oncogene Fusion - genetics ; Oncology, Experimental ; Organ Specificity - genetics ; Polymorphism, Single Nucleotide - genetics ; resource ; Transcription, Genetic ; Tumors</subject><ispartof>Nature biotechnology, 2015-03, Vol.33 (3), p.306-312</ispartof><rights>Springer Nature America, Inc. 2014</rights><rights>COPYRIGHT 2015 Nature Publishing Group</rights><rights>Copyright Nature Publishing Group Mar 2015</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c484t-53a9551dd94bd42c8314e357f0f4c198be4a1785b1c13a5b754e94145dc61d3</citedby><cites>FETCH-LOGICAL-c484t-53a9551dd94bd42c8314e357f0f4c198be4a1785b1c13a5b754e94145dc61d3</cites><orcidid>0000-0002-5087-9151 ; 0000-0002-5890-4374 ; 0000-0002-0343-8222 ; 0000000203438222 ; 0000000258904374 ; 0000000250879151</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1038/nbt.3080$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1038/nbt.3080$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25485619$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Klijn, Christiaan</creatorcontrib><creatorcontrib>Durinck, Steffen</creatorcontrib><creatorcontrib>Stawiski, Eric W</creatorcontrib><creatorcontrib>Haverty, Peter M</creatorcontrib><creatorcontrib>Jiang, Zhaoshi</creatorcontrib><creatorcontrib>Liu, Hanbin</creatorcontrib><creatorcontrib>Degenhardt, Jeremiah</creatorcontrib><creatorcontrib>Mayba, Oleg</creatorcontrib><creatorcontrib>Gnad, Florian</creatorcontrib><creatorcontrib>Liu, Jinfeng</creatorcontrib><creatorcontrib>Pau, Gregoire</creatorcontrib><creatorcontrib>Reeder, Jens</creatorcontrib><creatorcontrib>Cao, Yi</creatorcontrib><creatorcontrib>Mukhyala, Kiran</creatorcontrib><creatorcontrib>Selvaraj, Suresh K</creatorcontrib><creatorcontrib>Yu, Mamie</creatorcontrib><creatorcontrib>Zynda, Gregory J</creatorcontrib><creatorcontrib>Brauer, Matthew J</creatorcontrib><creatorcontrib>Wu, Thomas D</creatorcontrib><creatorcontrib>Gentleman, Robert C</creatorcontrib><creatorcontrib>Manning, Gerard</creatorcontrib><creatorcontrib>Yauch, Robert L</creatorcontrib><creatorcontrib>Bourgon, Richard</creatorcontrib><creatorcontrib>Stokoe, David</creatorcontrib><creatorcontrib>Modrusan, Zora</creatorcontrib><creatorcontrib>Neve, Richard M</creatorcontrib><creatorcontrib>de Sauvage, Frederic J</creatorcontrib><creatorcontrib>Settleman, Jeffrey</creatorcontrib><creatorcontrib>Seshagiri, Somasekar</creatorcontrib><creatorcontrib>Zhang, Zemin</creatorcontrib><title>A comprehensive transcriptional portrait of human cancer cell lines</title><title>Nature biotechnology</title><addtitle>Nat Biotechnol</addtitle><addtitle>Nat Biotechnol</addtitle><description>A comprehensive analysis of RNA sequencing and single-nucleotide polymorphism (SNP) array data provides new insights into the biology of 675 human cancer cell lines
Tumor-derived cell lines have served as vital models to advance our understanding of oncogene function and therapeutic responses. Although substantial effort has been made to define the genomic constitution of cancer cell line panels, the transcriptome remains understudied. Here we describe RNA sequencing and single-nucleotide polymorphism (SNP) array analysis of 675 human cancer cell lines. We report comprehensive analyses of transcriptome features including gene expression, mutations, gene fusions and expression of non-human sequences. Of the 2,200 gene fusions catalogued, 1,435 consist of genes not previously found in fusions, providing many leads for further investigation. We combine multiple genome and transcriptome features in a pathway-based approach to enhance prediction of response to targeted therapeutics. Our results provide a valuable resource for studies that use cancer cell lines.</description><subject>13/89</subject><subject>38</subject><subject>45/22</subject><subject>45/90</subject><subject>45/91</subject><subject>631/114/2785</subject><subject>631/67/69</subject><subject>631/67/70</subject><subject>692/699/67/69</subject><subject>Agriculture</subject><subject>Base Sequence</subject><subject>Bioinformatics</subject><subject>Biomedical Engineering/Biotechnology</subject><subject>Biomedicine</subject><subject>Biotechnology</subject><subject>Cancer</subject><subject>Cancer cells</subject><subject>Cell Line, Tumor</subject><subject>Cell lines</subject><subject>Cells</subject><subject>Cluster Analysis</subject><subject>Gene Expression Regulation, Neoplastic</subject><subject>Gene Regulatory Networks</subject><subject>Genetic aspects</subject><subject>Genetic research</subject><subject>Genetic transcription</subject><subject>Health aspects</subject><subject>Humans</subject><subject>Life 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recordid | cdi_proquest_journals_1661350139 |
source | MEDLINE; Springer Nature - Complete Springer Journals; Springer Nature - Connect here FIRST to enable access |
subjects | 13/89 38 45/22 45/90 45/91 631/114/2785 631/67/69 631/67/70 692/699/67/69 Agriculture Base Sequence Bioinformatics Biomedical Engineering/Biotechnology Biomedicine Biotechnology Cancer Cancer cells Cell Line, Tumor Cell lines Cells Cluster Analysis Gene Expression Regulation, Neoplastic Gene Regulatory Networks Genetic aspects Genetic research Genetic transcription Health aspects Humans Life Sciences Mutation Mutation - genetics Neoplasms - genetics Oncogene Fusion - genetics Oncology, Experimental Organ Specificity - genetics Polymorphism, Single Nucleotide - genetics resource Transcription, Genetic Tumors |
title | A comprehensive transcriptional portrait of human cancer cell lines |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-01T12%3A45%3A22IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20comprehensive%20transcriptional%20portrait%20of%20human%20cancer%20cell%20lines&rft.jtitle=Nature%20biotechnology&rft.au=Klijn,%20Christiaan&rft.date=2015-03-01&rft.volume=33&rft.issue=3&rft.spage=306&rft.epage=312&rft.pages=306-312&rft.issn=1087-0156&rft.eissn=1546-1696&rft_id=info:doi/10.1038/nbt.3080&rft_dat=%3Cgale_proqu%3EA405023398%3C/gale_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1661350139&rft_id=info:pmid/25485619&rft_galeid=A405023398&rfr_iscdi=true |