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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Nature genetics 2000-03, Vol.24 (3), p.236-244
Hauptverfasser: 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.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 244
container_issue 3
container_start_page 236
container_title Nature genetics
container_volume 24
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
fullrecord <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_miscellaneous_70921613</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A183437660</galeid><sourcerecordid>A183437660</sourcerecordid><originalsourceid>FETCH-LOGICAL-c526t-cb1211fa239f01a87aee5b3cfa63f7d13d4f449cc91723fe671b835769abfacd3</originalsourceid><addsrcrecordid>eNqN0llr3DAQAGBTWpqj-QvFtEmhD041kizZj8vSIxAI9HoVY3nkONjWVrIh-fdVugvbLYUWPej6ZoSkybIzYJfARPVOCynqJ9kxlFIVoKF6msZMQSGZUEfZSYx3jIGUrHqeHQHTaaLL42y9yjuaKKf7TaAYez_lLc7YYKTc-ZDPt5SPfiC7DBjyzS2GEa0ffPeQe5dbnCyFF9kzh0Oks11_mn378P7r-lNxffPxar26LmzJ1VzYBjiAQy5qxwArjURlI6xDJZxuQbTSSVlbW4PmwpHS0FSi1KrGxqFtxWn2Zpt3E_yPheJsxj5aGgacyC_RaFZzUCD-CUHLWiuoEnz1B7zzS5jSJQznXEmoOU_o9RZ1OJDpJ-fngPYxo1mlHFJopVhSl39RqbU09tZP5Pq0fhDw9iAgmZnu5w6XGM3Vl8__b2--H9qLrbXBxxjImU3oRwwPBph5LBXzq1SSe7m7-9KM1P6mtrWRwPkOYLQ4uJA-u497x2sFuto_dkw7U0dh_4aHB_4E4TfMMQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>222641922</pqid></control><display><type>article</type><title>A gene expression database for the molecular pharmacology of cancer</title><source>MEDLINE</source><source>Springer Nature - Complete Springer Journals</source><source>Nature Journals Online</source><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.</creator><creatorcontrib>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.</creatorcontrib><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><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&amp;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. Drug treatments</subject><subject>Physiological aspects</subject><subject>Tumor Cells, Cultured - classification</subject><subject>Tumor Cells, Cultured - metabolism</subject><issn>1061-4036</issn><issn>1546-1718</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2000</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqN0llr3DAQAGBTWpqj-QvFtEmhD041kizZj8vSIxAI9HoVY3nkONjWVrIh-fdVugvbLYUWPej6ZoSkybIzYJfARPVOCynqJ9kxlFIVoKF6msZMQSGZUEfZSYx3jIGUrHqeHQHTaaLL42y9yjuaKKf7TaAYez_lLc7YYKTc-ZDPt5SPfiC7DBjyzS2GEa0ffPeQe5dbnCyFF9kzh0Oks11_mn378P7r-lNxffPxar26LmzJ1VzYBjiAQy5qxwArjURlI6xDJZxuQbTSSVlbW4PmwpHS0FSi1KrGxqFtxWn2Zpt3E_yPheJsxj5aGgacyC_RaFZzUCD-CUHLWiuoEnz1B7zzS5jSJQznXEmoOU_o9RZ1OJDpJ-fngPYxo1mlHFJopVhSl39RqbU09tZP5Pq0fhDw9iAgmZnu5w6XGM3Vl8__b2--H9qLrbXBxxjImU3oRwwPBph5LBXzq1SSe7m7-9KM1P6mtrWRwPkOYLQ4uJA-u497x2sFuto_dkw7U0dh_4aHB_4E4TfMMQ</recordid><startdate>20000301</startdate><enddate>20000301</enddate><creator>Scherf, Uwe</creator><creator>Ross, Douglas T.</creator><creator>Waltham, Mark</creator><creator>Smith, Lawrence H.</creator><creator>Lee, Jae K.</creator><creator>Tanabe, Lorraine</creator><creator>Kohn, Kurt W.</creator><creator>Reinhold, William C.</creator><creator>Myers, Timothy G.</creator><creator>Andrews, Darren T.</creator><creator>Scudiero, Dominic A.</creator><creator>Eisen, Michael B.</creator><creator>Sausville, Edward A.</creator><creator>Pommier, Yves</creator><creator>Botstein, David</creator><creator>Brown, Patrick O.</creator><creator>Weinstein, John N.</creator><general>Nature Publishing Group US</general><general>Nature Publishing Group</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QL</scope><scope>7QP</scope><scope>7QR</scope><scope>7SS</scope><scope>7T7</scope><scope>7TK</scope><scope>7TM</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M7N</scope><scope>M7P</scope><scope>MBDVC</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>RC3</scope><scope>7X8</scope></search><sort><creationdate>20000301</creationdate><title>A gene expression database for the molecular pharmacology of cancer</title><author>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.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c526t-cb1211fa239f01a87aee5b3cfa63f7d13d4f449cc91723fe671b835769abfacd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2000</creationdate><topic>Agriculture</topic><topic>Animal Genetics and Genomics</topic><topic>Antineoplastic agents</topic><topic>Antineoplastic Agents - classification</topic><topic>Antineoplastic Agents - pharmacology</topic><topic>Bioinformatics</topic><topic>Biological and medical sciences</topic><topic>Biomedical and Life Sciences</topic><topic>Biomedicine</topic><topic>Cancer</topic><topic>Cancer Research</topic><topic>Cell physiology</topic><topic>Cell transformation and carcinogenesis. 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. Drug treatments</topic><topic>Physiological aspects</topic><topic>Tumor Cells, Cultured - classification</topic><topic>Tumor Cells, Cultured - metabolism</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><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><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Calcium &amp; Calcified Tissue Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - 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>
fulltext fulltext
identifier ISSN: 1061-4036
ispartof Nature genetics, 2000-03, Vol.24 (3), p.236-244
issn 1061-4036
1546-1718
language eng
recordid cdi_proquest_miscellaneous_70921613
source MEDLINE; Springer Nature - Complete Springer Journals; Nature Journals Online
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
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-19T18%3A07%3A59IST&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%20gene%20expression%20database%20for%20the%20molecular%20pharmacology%20of%20cancer&rft.jtitle=Nature%20genetics&rft.au=Scherf,%20Uwe&rft.date=2000-03-01&rft.volume=24&rft.issue=3&rft.spage=236&rft.epage=244&rft.pages=236-244&rft.issn=1061-4036&rft.eissn=1546-1718&rft.coden=NGENEC&rft_id=info:doi/10.1038/73439&rft_dat=%3Cgale_proqu%3EA183437660%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=222641922&rft_id=info:pmid/10700175&rft_galeid=A183437660&rfr_iscdi=true