A gene expression database for the molecular pharmacology of cancer
We used cDNA microarrays to assess gene expression profiles in 60 human cancer cell lines used in a drug discovery screen by the National Cancer Institute. Using these data, we linked bioinformatics and chemoinformatics by correlating gene expression and drug activity patterns in the NCI60 lines. Cl...
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Veröffentlicht in: | Nature genetics 2000-03, Vol.24 (3), p.236-244 |
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creator | Scherf, Uwe Ross, Douglas T. Waltham, Mark Smith, Lawrence H. Lee, Jae K. Tanabe, Lorraine Kohn, Kurt W. Reinhold, William C. Myers, Timothy G. Andrews, Darren T. Scudiero, Dominic A. Eisen, Michael B. Sausville, Edward A. Pommier, Yves Botstein, David Brown, Patrick O. Weinstein, John N. |
description | We used cDNA microarrays to assess gene expression profiles in 60 human cancer cell lines used in a drug discovery screen by the National Cancer Institute. Using these data, we linked bioinformatics and chemoinformatics by correlating gene expression and drug activity patterns in the NCI60 lines. Clustering the cell lines on the basis of gene expression yielded relationships very different from those obtained by clustering the cell lines on the basis of their response to drugs. Gene-drug relationships for the clinical agents 5-fluorouracil and
L
-asparaginase exemplify how variations in the transcript levels of particular genes relate to mechanisms of drug sensitivity and resistance. This is the first study to integrate large databases on gene expression and molecular pharmacology. |
doi_str_mv | 10.1038/73439 |
format | Article |
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L
-asparaginase exemplify how variations in the transcript levels of particular genes relate to mechanisms of drug sensitivity and resistance. This is the first study to integrate large databases on gene expression and molecular pharmacology.</description><identifier>ISSN: 1061-4036</identifier><identifier>EISSN: 1546-1718</identifier><identifier>DOI: 10.1038/73439</identifier><identifier>PMID: 10700175</identifier><identifier>CODEN: NGENEC</identifier><language>eng</language><publisher>New York: Nature Publishing Group US</publisher><subject>Agriculture ; Animal Genetics and Genomics ; Antineoplastic agents ; Antineoplastic Agents - classification ; Antineoplastic Agents - pharmacology ; Bioinformatics ; Biological and medical sciences ; Biomedical and Life Sciences ; Biomedicine ; Cancer ; Cancer Research ; Cell physiology ; Cell transformation and carcinogenesis. Action of oncogenes and antioncogenes ; Cluster Analysis ; Databases, Factual ; DNA, Complementary - genetics ; DNA, Neoplasm - genetics ; Drug Resistance, Neoplasm - genetics ; Fundamental and applied biological sciences. Psychology ; Gene expression ; Gene Expression Profiling ; Gene Expression Regulation, Neoplastic - drug effects ; Gene Function ; General aspects ; Genetic aspects ; Human Genetics ; Humans ; L-^Aasparaginase ; Medical sciences ; Molecular and cellular biology ; Neoplasm Proteins - biosynthesis ; Neoplasm Proteins - genetics ; Neoplasms - drug therapy ; Neoplasms - genetics ; Neoplasms - metabolism ; Neoplasms - pathology ; Oligonucleotide Array Sequence Analysis ; Organ Specificity ; Pharmacology ; Pharmacology. Drug treatments ; Physiological aspects ; Tumor Cells, Cultured - classification ; Tumor Cells, Cultured - metabolism</subject><ispartof>Nature genetics, 2000-03, Vol.24 (3), p.236-244</ispartof><rights>Nature America Inc. 2000</rights><rights>2000 INIST-CNRS</rights><rights>COPYRIGHT 2000 Nature Publishing Group</rights><rights>Copyright Nature Publishing Group Mar 2000</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c526t-cb1211fa239f01a87aee5b3cfa63f7d13d4f449cc91723fe671b835769abfacd3</citedby><cites>FETCH-LOGICAL-c526t-cb1211fa239f01a87aee5b3cfa63f7d13d4f449cc91723fe671b835769abfacd3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1038/73439$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1038/73439$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,777,781,27905,27906,41469,42538,51300</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=1296178$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/10700175$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Scherf, Uwe</creatorcontrib><creatorcontrib>Ross, Douglas T.</creatorcontrib><creatorcontrib>Waltham, Mark</creatorcontrib><creatorcontrib>Smith, Lawrence H.</creatorcontrib><creatorcontrib>Lee, Jae K.</creatorcontrib><creatorcontrib>Tanabe, Lorraine</creatorcontrib><creatorcontrib>Kohn, Kurt W.</creatorcontrib><creatorcontrib>Reinhold, William C.</creatorcontrib><creatorcontrib>Myers, Timothy G.</creatorcontrib><creatorcontrib>Andrews, Darren T.</creatorcontrib><creatorcontrib>Scudiero, Dominic A.</creatorcontrib><creatorcontrib>Eisen, Michael B.</creatorcontrib><creatorcontrib>Sausville, Edward A.</creatorcontrib><creatorcontrib>Pommier, Yves</creatorcontrib><creatorcontrib>Botstein, David</creatorcontrib><creatorcontrib>Brown, Patrick O.</creatorcontrib><creatorcontrib>Weinstein, John N.</creatorcontrib><title>A gene expression database for the molecular pharmacology of cancer</title><title>Nature genetics</title><addtitle>Nat Genet</addtitle><addtitle>Nat Genet</addtitle><description>We used cDNA microarrays to assess gene expression profiles in 60 human cancer cell lines used in a drug discovery screen by the National Cancer Institute. Using these data, we linked bioinformatics and chemoinformatics by correlating gene expression and drug activity patterns in the NCI60 lines. Clustering the cell lines on the basis of gene expression yielded relationships very different from those obtained by clustering the cell lines on the basis of their response to drugs. Gene-drug relationships for the clinical agents 5-fluorouracil and
L
-asparaginase exemplify how variations in the transcript levels of particular genes relate to mechanisms of drug sensitivity and resistance. This is the first study to integrate large databases on gene expression and molecular pharmacology.</description><subject>Agriculture</subject><subject>Animal Genetics and Genomics</subject><subject>Antineoplastic agents</subject><subject>Antineoplastic Agents - classification</subject><subject>Antineoplastic Agents - pharmacology</subject><subject>Bioinformatics</subject><subject>Biological and medical sciences</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Cancer</subject><subject>Cancer Research</subject><subject>Cell physiology</subject><subject>Cell transformation and carcinogenesis. Action of oncogenes and antioncogenes</subject><subject>Cluster Analysis</subject><subject>Databases, Factual</subject><subject>DNA, Complementary - genetics</subject><subject>DNA, Neoplasm - genetics</subject><subject>Drug Resistance, Neoplasm - genetics</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Gene expression</subject><subject>Gene Expression Profiling</subject><subject>Gene Expression Regulation, Neoplastic - drug effects</subject><subject>Gene Function</subject><subject>General aspects</subject><subject>Genetic aspects</subject><subject>Human Genetics</subject><subject>Humans</subject><subject>L-^Aasparaginase</subject><subject>Medical sciences</subject><subject>Molecular and cellular biology</subject><subject>Neoplasm Proteins - biosynthesis</subject><subject>Neoplasm Proteins - genetics</subject><subject>Neoplasms - drug therapy</subject><subject>Neoplasms - genetics</subject><subject>Neoplasms - metabolism</subject><subject>Neoplasms - pathology</subject><subject>Oligonucleotide Array Sequence Analysis</subject><subject>Organ Specificity</subject><subject>Pharmacology</subject><subject>Pharmacology. 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Action of oncogenes and antioncogenes</topic><topic>Cluster Analysis</topic><topic>Databases, Factual</topic><topic>DNA, Complementary - genetics</topic><topic>DNA, Neoplasm - genetics</topic><topic>Drug Resistance, Neoplasm - genetics</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Gene expression</topic><topic>Gene Expression Profiling</topic><topic>Gene Expression Regulation, Neoplastic - drug effects</topic><topic>Gene Function</topic><topic>General aspects</topic><topic>Genetic aspects</topic><topic>Human Genetics</topic><topic>Humans</topic><topic>L-^Aasparaginase</topic><topic>Medical sciences</topic><topic>Molecular and cellular biology</topic><topic>Neoplasm Proteins - biosynthesis</topic><topic>Neoplasm Proteins - genetics</topic><topic>Neoplasms - drug therapy</topic><topic>Neoplasms - genetics</topic><topic>Neoplasms - metabolism</topic><topic>Neoplasms - pathology</topic><topic>Oligonucleotide Array Sequence Analysis</topic><topic>Organ Specificity</topic><topic>Pharmacology</topic><topic>Pharmacology. 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Academic</collection><jtitle>Nature genetics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Scherf, Uwe</au><au>Ross, Douglas T.</au><au>Waltham, Mark</au><au>Smith, Lawrence H.</au><au>Lee, Jae K.</au><au>Tanabe, Lorraine</au><au>Kohn, Kurt W.</au><au>Reinhold, William C.</au><au>Myers, Timothy G.</au><au>Andrews, Darren T.</au><au>Scudiero, Dominic A.</au><au>Eisen, Michael B.</au><au>Sausville, Edward A.</au><au>Pommier, Yves</au><au>Botstein, David</au><au>Brown, Patrick O.</au><au>Weinstein, John N.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A gene expression database for the molecular pharmacology of cancer</atitle><jtitle>Nature genetics</jtitle><stitle>Nat Genet</stitle><addtitle>Nat Genet</addtitle><date>2000-03-01</date><risdate>2000</risdate><volume>24</volume><issue>3</issue><spage>236</spage><epage>244</epage><pages>236-244</pages><issn>1061-4036</issn><eissn>1546-1718</eissn><coden>NGENEC</coden><abstract>We used cDNA microarrays to assess gene expression profiles in 60 human cancer cell lines used in a drug discovery screen by the National Cancer Institute. Using these data, we linked bioinformatics and chemoinformatics by correlating gene expression and drug activity patterns in the NCI60 lines. Clustering the cell lines on the basis of gene expression yielded relationships very different from those obtained by clustering the cell lines on the basis of their response to drugs. Gene-drug relationships for the clinical agents 5-fluorouracil and
L
-asparaginase exemplify how variations in the transcript levels of particular genes relate to mechanisms of drug sensitivity and resistance. This is the first study to integrate large databases on gene expression and molecular pharmacology.</abstract><cop>New York</cop><pub>Nature Publishing Group US</pub><pmid>10700175</pmid><doi>10.1038/73439</doi><tpages>9</tpages></addata></record> |
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subjects | Agriculture Animal Genetics and Genomics Antineoplastic agents Antineoplastic Agents - classification Antineoplastic Agents - pharmacology Bioinformatics Biological and medical sciences Biomedical and Life Sciences Biomedicine Cancer Cancer Research Cell physiology Cell transformation and carcinogenesis. Action of oncogenes and antioncogenes Cluster Analysis Databases, Factual DNA, Complementary - genetics DNA, Neoplasm - genetics Drug Resistance, Neoplasm - genetics Fundamental and applied biological sciences. Psychology Gene expression Gene Expression Profiling Gene Expression Regulation, Neoplastic - drug effects Gene Function General aspects Genetic aspects Human Genetics Humans L-^Aasparaginase Medical sciences Molecular and cellular biology Neoplasm Proteins - biosynthesis Neoplasm Proteins - genetics Neoplasms - drug therapy Neoplasms - genetics Neoplasms - metabolism Neoplasms - pathology Oligonucleotide Array Sequence Analysis Organ Specificity Pharmacology Pharmacology. Drug treatments Physiological aspects Tumor Cells, Cultured - classification Tumor Cells, Cultured - metabolism |
title | A gene expression database for the molecular pharmacology of cancer |
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