Identification of microprocessor-dependent cancer cells allows screening for growth-sustaining micro-RNAs
Micro-RNAs are deregulated in cancer cells, and some are either tumor suppressive or oncogenic. In addition, a link has been established between decreased expression of micro-RNAs and transformation, and several proteins of the RNA interference pathway have been shown to be haploinsufficient tumor s...
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description | Micro-RNAs are deregulated in cancer cells, and some are either tumor suppressive or oncogenic. In addition, a link has been established between decreased expression of micro-RNAs and transformation, and several proteins of the RNA interference pathway have been shown to be haploinsufficient tumor suppressors. Oncogenic micro-RNAs (oncomiRs) could represent new therapeutic targets, and their identification is therefore crucial. However, structural and functional redundancy between micro-RNAs hampers approaches relying on individual micro-RNA inhibition. We reasoned that in cancer cells that depend on oncomiRs, impairing the micro-RNA pathway could lead to growth perturbation rather than increased tumorigenesis. Identifying such cells could allow functional analyses of individual micro-RNAs by complementation of the phenotypes observed upon global micro-RNA inhibition. Therefore, we developed episomal vectors coding for small hairpin RNAs targeting either Drosha or DGCR8, the two components of the microprocessor, the nuclear micro-RNA maturation complex. We identified cancer cell lines in which both vectors induced colony growth arrest. We then screened for individual micro-RNAs complementing this growth arrest, and identified miR-19a, miR-19b, miR-20a and miR-27b as major growth-sustaining micro-RNAs. However, the effect of miR-19a and miR-19b was only transient. In addition, embryonic stem cell-derived micro-RNAs with miR-20a seeds were much less efficient than miR-20a in sustaining cancer cell growth, a finding that contrasted with results obtained in stem cells. Finally, we showed that the tumor suppressor phosphatase and tensin homologue deleted on chromosome 10, a shared target of miR-19 and miR-20, was functionally involved in the growth arrest induced by microprocessor inhibition. We conclude that our approach allowed to identify microprocessor-dependent cancer cells, which could be used to screen for growth-sustaining micro-RNAs. This complementation screen unveiled functional differences between homologous micro-RNAs. Phenotypic characterization of the complemented cells will allow precise functional studies of these micro-RNAs. |
doi_str_mv | 10.1038/onc.2011.391 |
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In addition, a link has been established between decreased expression of micro-RNAs and transformation, and several proteins of the RNA interference pathway have been shown to be haploinsufficient tumor suppressors. Oncogenic micro-RNAs (oncomiRs) could represent new therapeutic targets, and their identification is therefore crucial. However, structural and functional redundancy between micro-RNAs hampers approaches relying on individual micro-RNA inhibition. We reasoned that in cancer cells that depend on oncomiRs, impairing the micro-RNA pathway could lead to growth perturbation rather than increased tumorigenesis. Identifying such cells could allow functional analyses of individual micro-RNAs by complementation of the phenotypes observed upon global micro-RNA inhibition. Therefore, we developed episomal vectors coding for small hairpin RNAs targeting either Drosha or DGCR8, the two components of the microprocessor, the nuclear micro-RNA maturation complex. We identified cancer cell lines in which both vectors induced colony growth arrest. We then screened for individual micro-RNAs complementing this growth arrest, and identified miR-19a, miR-19b, miR-20a and miR-27b as major growth-sustaining micro-RNAs. However, the effect of miR-19a and miR-19b was only transient. In addition, embryonic stem cell-derived micro-RNAs with miR-20a seeds were much less efficient than miR-20a in sustaining cancer cell growth, a finding that contrasted with results obtained in stem cells. Finally, we showed that the tumor suppressor phosphatase and tensin homologue deleted on chromosome 10, a shared target of miR-19 and miR-20, was functionally involved in the growth arrest induced by microprocessor inhibition. We conclude that our approach allowed to identify microprocessor-dependent cancer cells, which could be used to screen for growth-sustaining micro-RNAs. This complementation screen unveiled functional differences between homologous micro-RNAs. Phenotypic characterization of the complemented cells will allow precise functional studies of these micro-RNAs.</description><identifier>ISSN: 0950-9232</identifier><identifier>EISSN: 1476-5594</identifier><identifier>DOI: 10.1038/onc.2011.391</identifier><identifier>PMID: 21909134</identifier><identifier>CODEN: ONCNES</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>Apoptosis ; Cancer ; Cell Biology ; Cell Line, Tumor ; Cell Proliferation ; Cells ; Chromosome 10 ; Colonies ; Embryos ; Gene expression ; Gene Expression Profiling ; Gene Expression Regulation, Neoplastic ; Human Genetics ; Humans ; Internal Medicine ; Medical screening ; Medicine ; Medicine & Public Health ; Microprocessors ; MicroRNA ; MicroRNAs - metabolism ; Neoplasms - genetics ; Neoplasms - pathology ; Oncogenes ; Oncology ; original-article ; Phenotypes ; Physiological aspects ; Proteins - antagonists & inhibitors ; Proteins - metabolism ; PTEN Phosphohydrolase - metabolism ; PTEN protein ; Ribonuclease III - antagonists & inhibitors ; Ribonuclease III - metabolism ; Ribonucleic acid ; RNA ; RNA, Small Interfering - pharmacology ; RNA-Binding Proteins ; RNA-mediated interference ; Stem cells ; Structure-function relationships ; Tensin ; Therapeutic targets ; Transformation ; Tumor cell lines ; Tumor suppressor genes ; Tumorigenesis</subject><ispartof>Oncogene, 2012-04, Vol.31 (16), p.2039-2048</ispartof><rights>Macmillan Publishers Limited 2012</rights><rights>COPYRIGHT 2012 Nature Publishing Group</rights><rights>Copyright Nature Publishing Group Apr 19, 2012</rights><rights>Macmillan Publishers Limited 2012.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c523t-9b818f646852ab1d08cdbe6c364119e4179d3b48d9fb76f59cd53727f81f1cb73</citedby><cites>FETCH-LOGICAL-c523t-9b818f646852ab1d08cdbe6c364119e4179d3b48d9fb76f59cd53727f81f1cb73</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/onc.2011.391$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1038/onc.2011.391$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27903,27904,41467,42536,51297</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21909134$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Peric, D</creatorcontrib><creatorcontrib>Chvalova, K</creatorcontrib><creatorcontrib>Rousselet, G</creatorcontrib><title>Identification of microprocessor-dependent cancer cells allows screening for growth-sustaining micro-RNAs</title><title>Oncogene</title><addtitle>Oncogene</addtitle><addtitle>Oncogene</addtitle><description>Micro-RNAs are deregulated in cancer cells, and some are either tumor suppressive or oncogenic. In addition, a link has been established between decreased expression of micro-RNAs and transformation, and several proteins of the RNA interference pathway have been shown to be haploinsufficient tumor suppressors. Oncogenic micro-RNAs (oncomiRs) could represent new therapeutic targets, and their identification is therefore crucial. However, structural and functional redundancy between micro-RNAs hampers approaches relying on individual micro-RNA inhibition. We reasoned that in cancer cells that depend on oncomiRs, impairing the micro-RNA pathway could lead to growth perturbation rather than increased tumorigenesis. Identifying such cells could allow functional analyses of individual micro-RNAs by complementation of the phenotypes observed upon global micro-RNA inhibition. Therefore, we developed episomal vectors coding for small hairpin RNAs targeting either Drosha or DGCR8, the two components of the microprocessor, the nuclear micro-RNA maturation complex. We identified cancer cell lines in which both vectors induced colony growth arrest. We then screened for individual micro-RNAs complementing this growth arrest, and identified miR-19a, miR-19b, miR-20a and miR-27b as major growth-sustaining micro-RNAs. However, the effect of miR-19a and miR-19b was only transient. In addition, embryonic stem cell-derived micro-RNAs with miR-20a seeds were much less efficient than miR-20a in sustaining cancer cell growth, a finding that contrasted with results obtained in stem cells. Finally, we showed that the tumor suppressor phosphatase and tensin homologue deleted on chromosome 10, a shared target of miR-19 and miR-20, was functionally involved in the growth arrest induced by microprocessor inhibition. We conclude that our approach allowed to identify microprocessor-dependent cancer cells, which could be used to screen for growth-sustaining micro-RNAs. This complementation screen unveiled functional differences between homologous micro-RNAs. Phenotypic characterization of the complemented cells will allow precise functional studies of these micro-RNAs.</description><subject>Apoptosis</subject><subject>Cancer</subject><subject>Cell Biology</subject><subject>Cell Line, Tumor</subject><subject>Cell Proliferation</subject><subject>Cells</subject><subject>Chromosome 10</subject><subject>Colonies</subject><subject>Embryos</subject><subject>Gene expression</subject><subject>Gene Expression Profiling</subject><subject>Gene Expression Regulation, Neoplastic</subject><subject>Human Genetics</subject><subject>Humans</subject><subject>Internal Medicine</subject><subject>Medical screening</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Microprocessors</subject><subject>MicroRNA</subject><subject>MicroRNAs - metabolism</subject><subject>Neoplasms - genetics</subject><subject>Neoplasms - pathology</subject><subject>Oncogenes</subject><subject>Oncology</subject><subject>original-article</subject><subject>Phenotypes</subject><subject>Physiological aspects</subject><subject>Proteins - 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metabolism</topic><topic>Neoplasms - genetics</topic><topic>Neoplasms - pathology</topic><topic>Oncogenes</topic><topic>Oncology</topic><topic>original-article</topic><topic>Phenotypes</topic><topic>Physiological aspects</topic><topic>Proteins - antagonists & inhibitors</topic><topic>Proteins - metabolism</topic><topic>PTEN Phosphohydrolase - metabolism</topic><topic>PTEN protein</topic><topic>Ribonuclease III - antagonists & inhibitors</topic><topic>Ribonuclease III - metabolism</topic><topic>Ribonucleic acid</topic><topic>RNA</topic><topic>RNA, Small Interfering - pharmacology</topic><topic>RNA-Binding Proteins</topic><topic>RNA-mediated interference</topic><topic>Stem cells</topic><topic>Structure-function relationships</topic><topic>Tensin</topic><topic>Therapeutic targets</topic><topic>Transformation</topic><topic>Tumor cell lines</topic><topic>Tumor suppressor genes</topic><topic>Tumorigenesis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Peric, D</creatorcontrib><creatorcontrib>Chvalova, K</creatorcontrib><creatorcontrib>Rousselet, G</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nucleic Acids Abstracts</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Health & 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 Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</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 & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</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 China</collection><collection>ProQuest Central Basic</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Oncogene</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Peric, D</au><au>Chvalova, K</au><au>Rousselet, G</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Identification of microprocessor-dependent cancer cells allows screening for growth-sustaining micro-RNAs</atitle><jtitle>Oncogene</jtitle><stitle>Oncogene</stitle><addtitle>Oncogene</addtitle><date>2012-04-19</date><risdate>2012</risdate><volume>31</volume><issue>16</issue><spage>2039</spage><epage>2048</epage><pages>2039-2048</pages><issn>0950-9232</issn><eissn>1476-5594</eissn><coden>ONCNES</coden><abstract>Micro-RNAs are deregulated in cancer cells, and some are either tumor suppressive or oncogenic. In addition, a link has been established between decreased expression of micro-RNAs and transformation, and several proteins of the RNA interference pathway have been shown to be haploinsufficient tumor suppressors. Oncogenic micro-RNAs (oncomiRs) could represent new therapeutic targets, and their identification is therefore crucial. However, structural and functional redundancy between micro-RNAs hampers approaches relying on individual micro-RNA inhibition. We reasoned that in cancer cells that depend on oncomiRs, impairing the micro-RNA pathway could lead to growth perturbation rather than increased tumorigenesis. Identifying such cells could allow functional analyses of individual micro-RNAs by complementation of the phenotypes observed upon global micro-RNA inhibition. Therefore, we developed episomal vectors coding for small hairpin RNAs targeting either Drosha or DGCR8, the two components of the microprocessor, the nuclear micro-RNA maturation complex. We identified cancer cell lines in which both vectors induced colony growth arrest. We then screened for individual micro-RNAs complementing this growth arrest, and identified miR-19a, miR-19b, miR-20a and miR-27b as major growth-sustaining micro-RNAs. However, the effect of miR-19a and miR-19b was only transient. In addition, embryonic stem cell-derived micro-RNAs with miR-20a seeds were much less efficient than miR-20a in sustaining cancer cell growth, a finding that contrasted with results obtained in stem cells. Finally, we showed that the tumor suppressor phosphatase and tensin homologue deleted on chromosome 10, a shared target of miR-19 and miR-20, was functionally involved in the growth arrest induced by microprocessor inhibition. We conclude that our approach allowed to identify microprocessor-dependent cancer cells, which could be used to screen for growth-sustaining micro-RNAs. This complementation screen unveiled functional differences between homologous micro-RNAs. Phenotypic characterization of the complemented cells will allow precise functional studies of these micro-RNAs.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>21909134</pmid><doi>10.1038/onc.2011.391</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Apoptosis Cancer Cell Biology Cell Line, Tumor Cell Proliferation Cells Chromosome 10 Colonies Embryos Gene expression Gene Expression Profiling Gene Expression Regulation, Neoplastic Human Genetics Humans Internal Medicine Medical screening Medicine Medicine & Public Health Microprocessors MicroRNA MicroRNAs - metabolism Neoplasms - genetics Neoplasms - pathology Oncogenes Oncology original-article Phenotypes Physiological aspects Proteins - antagonists & inhibitors Proteins - metabolism PTEN Phosphohydrolase - metabolism PTEN protein Ribonuclease III - antagonists & inhibitors Ribonuclease III - metabolism Ribonucleic acid RNA RNA, Small Interfering - pharmacology RNA-Binding Proteins RNA-mediated interference Stem cells Structure-function relationships Tensin Therapeutic targets Transformation Tumor cell lines Tumor suppressor genes Tumorigenesis |
title | Identification of microprocessor-dependent cancer cells allows screening for growth-sustaining micro-RNAs |
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