Quantitative proteome analysis of ovarian cancer tissues using a iTRAQ approach
Quantitative proteomics can be used as a screening tool for identification of differentially expressed proteins as potential biomarkers for cancers. Here, we comparatively analyzed the proteome profiles of ovarian cancer tissues and normal ovarian epithelial tissues. Using the high‐throughput proteo...
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| Veröffentlicht in: | Journal of cellular biochemistry 2012-12, Vol.113 (12), p.3762-3772 |
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| container_title | Journal of cellular biochemistry |
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| creator | Wang, Li-Na Tong, Shi-Wen Hu, Huai-Dong Ye, Feng Li, Sang-Lin Ren, Hong Zhang, Da-Zhi Xiang, Rong Yang, Yi-Xuan |
| description | Quantitative proteomics can be used as a screening tool for identification of differentially expressed proteins as potential biomarkers for cancers. Here, we comparatively analyzed the proteome profiles of ovarian cancer tissues and normal ovarian epithelial tissues. Using the high‐throughput proteomic technology of isobaric tags for relative and absolute quantitation (iTRAQ)‐coupled with two‐dimensional‐liquid chromatography‐tandem mass spectrometry, 1,259 unique proteins were identified. Of those, 205 were potentially differentially expressed between ovarian cancer and normal ovarian tissues. Several of the potentially differentially expressed proteins were validated by Western blotting and real‐time quantitative RT‐PCR analyses. Furthermore, up‐regulation of KRT8, PPA1, IDH2, and S100A11 were validated in ovarian tissue microarrays by immunohistochemistry. Silencing of S100A11 expression suppressed the migration and invasion properties of ovarian cancer cells in vitro. Our study represents the successful application of iTRAQ technology to an investigation of ovarian cancer. Many of the potentially differentially expressed proteins identified had not been linked to ovarian cancer before, and provide valuable novel insights into the underlying mechanisms of carcinogenesis in human ovarian cancer. J. Cell. Biochem. 113: 3762–3772, 2012. © 2012 Wiley Periodicals, Inc. |
| doi_str_mv | 10.1002/jcb.24250 |
| format | Article |
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Here, we comparatively analyzed the proteome profiles of ovarian cancer tissues and normal ovarian epithelial tissues. Using the high‐throughput proteomic technology of isobaric tags for relative and absolute quantitation (iTRAQ)‐coupled with two‐dimensional‐liquid chromatography‐tandem mass spectrometry, 1,259 unique proteins were identified. Of those, 205 were potentially differentially expressed between ovarian cancer and normal ovarian tissues. Several of the potentially differentially expressed proteins were validated by Western blotting and real‐time quantitative RT‐PCR analyses. Furthermore, up‐regulation of KRT8, PPA1, IDH2, and S100A11 were validated in ovarian tissue microarrays by immunohistochemistry. Silencing of S100A11 expression suppressed the migration and invasion properties of ovarian cancer cells in vitro. Our study represents the successful application of iTRAQ technology to an investigation of ovarian cancer. Many of the potentially differentially expressed proteins identified had not been linked to ovarian cancer before, and provide valuable novel insights into the underlying mechanisms of carcinogenesis in human ovarian cancer. J. Cell. Biochem. 113: 3762–3772, 2012. © 2012 Wiley Periodicals, Inc.</description><identifier>ISSN: 0730-2312</identifier><identifier>EISSN: 1097-4644</identifier><identifier>DOI: 10.1002/jcb.24250</identifier><identifier>PMID: 22807371</identifier><language>eng</language><publisher>Hoboken: Wiley Subscription Services, Inc., A Wiley Company</publisher><subject>Biomarkers, Tumor - analysis ; Biomarkers, Tumor - metabolism ; Blotting, Western ; Case-Control Studies ; Cell Line, Tumor ; Cell Movement ; Chromatography, Liquid ; Epithelium - metabolism ; Epithelium - pathology ; Female ; Gene Silencing ; Humans ; Immunohistochemistry ; Isocitrate Dehydrogenase - genetics ; Isocitrate Dehydrogenase - metabolism ; iTRAQ ; Keratin-8 - genetics ; Keratin-8 - metabolism ; MASS SPECTROMETRY ; Neoplasm Proteins - analysis ; Neoplasm Proteins - metabolism ; OVARIAN CANCER ; Ovarian Neoplasms - genetics ; Ovarian Neoplasms - metabolism ; Ovarian Neoplasms - pathology ; Proteome - analysis ; Proteome - metabolism ; PROTEOMICS ; Proteomics - methods ; Reagent Kits, Diagnostic ; Reverse Transcriptase Polymerase Chain Reaction ; RNA, Small Interfering - genetics ; RNA, Small Interfering - metabolism ; S100 Proteins - genetics ; S100 Proteins - metabolism ; Staining and Labeling ; Tandem Mass Spectrometry ; Tissue Array Analysis ; Transfection</subject><ispartof>Journal of cellular biochemistry, 2012-12, Vol.113 (12), p.3762-3772</ispartof><rights>Copyright © 2012 Wiley Periodicals, Inc.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3630-e4fc927bdcb70e823c74f27456c650982d9134e722104e6383d178bbfcfcc55e3</citedby><cites>FETCH-LOGICAL-c3630-e4fc927bdcb70e823c74f27456c650982d9134e722104e6383d178bbfcfcc55e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fjcb.24250$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fjcb.24250$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22807371$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wang, Li-Na</creatorcontrib><creatorcontrib>Tong, Shi-Wen</creatorcontrib><creatorcontrib>Hu, Huai-Dong</creatorcontrib><creatorcontrib>Ye, Feng</creatorcontrib><creatorcontrib>Li, Sang-Lin</creatorcontrib><creatorcontrib>Ren, Hong</creatorcontrib><creatorcontrib>Zhang, Da-Zhi</creatorcontrib><creatorcontrib>Xiang, Rong</creatorcontrib><creatorcontrib>Yang, Yi-Xuan</creatorcontrib><title>Quantitative proteome analysis of ovarian cancer tissues using a iTRAQ approach</title><title>Journal of cellular biochemistry</title><addtitle>J. Cell. Biochem</addtitle><description>Quantitative proteomics can be used as a screening tool for identification of differentially expressed proteins as potential biomarkers for cancers. Here, we comparatively analyzed the proteome profiles of ovarian cancer tissues and normal ovarian epithelial tissues. Using the high‐throughput proteomic technology of isobaric tags for relative and absolute quantitation (iTRAQ)‐coupled with two‐dimensional‐liquid chromatography‐tandem mass spectrometry, 1,259 unique proteins were identified. Of those, 205 were potentially differentially expressed between ovarian cancer and normal ovarian tissues. Several of the potentially differentially expressed proteins were validated by Western blotting and real‐time quantitative RT‐PCR analyses. Furthermore, up‐regulation of KRT8, PPA1, IDH2, and S100A11 were validated in ovarian tissue microarrays by immunohistochemistry. Silencing of S100A11 expression suppressed the migration and invasion properties of ovarian cancer cells in vitro. Our study represents the successful application of iTRAQ technology to an investigation of ovarian cancer. Many of the potentially differentially expressed proteins identified had not been linked to ovarian cancer before, and provide valuable novel insights into the underlying mechanisms of carcinogenesis in human ovarian cancer. J. Cell. Biochem. 113: 3762–3772, 2012. © 2012 Wiley Periodicals, Inc.</description><subject>Biomarkers, Tumor - analysis</subject><subject>Biomarkers, Tumor - metabolism</subject><subject>Blotting, Western</subject><subject>Case-Control Studies</subject><subject>Cell Line, Tumor</subject><subject>Cell Movement</subject><subject>Chromatography, Liquid</subject><subject>Epithelium - metabolism</subject><subject>Epithelium - pathology</subject><subject>Female</subject><subject>Gene Silencing</subject><subject>Humans</subject><subject>Immunohistochemistry</subject><subject>Isocitrate Dehydrogenase - genetics</subject><subject>Isocitrate Dehydrogenase - metabolism</subject><subject>iTRAQ</subject><subject>Keratin-8 - genetics</subject><subject>Keratin-8 - metabolism</subject><subject>MASS SPECTROMETRY</subject><subject>Neoplasm Proteins - analysis</subject><subject>Neoplasm Proteins - metabolism</subject><subject>OVARIAN CANCER</subject><subject>Ovarian Neoplasms - genetics</subject><subject>Ovarian Neoplasms - metabolism</subject><subject>Ovarian Neoplasms - pathology</subject><subject>Proteome - analysis</subject><subject>Proteome - metabolism</subject><subject>PROTEOMICS</subject><subject>Proteomics - methods</subject><subject>Reagent Kits, Diagnostic</subject><subject>Reverse Transcriptase Polymerase Chain Reaction</subject><subject>RNA, Small Interfering - genetics</subject><subject>RNA, Small Interfering - metabolism</subject><subject>S100 Proteins - genetics</subject><subject>S100 Proteins - metabolism</subject><subject>Staining and Labeling</subject><subject>Tandem Mass Spectrometry</subject><subject>Tissue Array Analysis</subject><subject>Transfection</subject><issn>0730-2312</issn><issn>1097-4644</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kE1PwjAchxujEUQPfgHTq4dB37ZuRyCKGoSgKMem6zotwra0G7pv73TCzVMP_-f3pHkAuMSojxEig7WK-4QRHx2BLkYR91jA2DHoIk6RRygmHXDm3BohFEWUnIIOIWFz47gL5otKZqUpZWl2GhY2L3W-1VBmclM742CewnwnrZEZVDJT2sLSOFdpBytnsjcooVk-DRdQFs1WqvdzcJLKjdMXf28PvNzeLMd33nQ-uR8Pp56iQfMpzVIVER4nKuZIh4QqzlLCmR-owEdRSJIIU6Y5IRgxHdCQJpiHcZyqVCnf17QHrluvsrlzVqeisGYrbS0wEj9RRBNF_EZp2KuWLap4q5MDua_QAIMW-DQbXf9vEg_j0V7ptQvjSv11WEj7IYJG6YvVbCJWz9yfPb5SMaLfpXt6fQ</recordid><startdate>201212</startdate><enddate>201212</enddate><creator>Wang, Li-Na</creator><creator>Tong, Shi-Wen</creator><creator>Hu, Huai-Dong</creator><creator>Ye, Feng</creator><creator>Li, Sang-Lin</creator><creator>Ren, Hong</creator><creator>Zhang, Da-Zhi</creator><creator>Xiang, Rong</creator><creator>Yang, Yi-Xuan</creator><general>Wiley Subscription Services, Inc., A Wiley Company</general><scope>BSCLL</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></search><sort><creationdate>201212</creationdate><title>Quantitative proteome analysis of ovarian cancer tissues using a iTRAQ approach</title><author>Wang, Li-Na ; Tong, Shi-Wen ; Hu, Huai-Dong ; Ye, Feng ; Li, Sang-Lin ; Ren, Hong ; Zhang, Da-Zhi ; Xiang, Rong ; Yang, Yi-Xuan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3630-e4fc927bdcb70e823c74f27456c650982d9134e722104e6383d178bbfcfcc55e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Biomarkers, Tumor - analysis</topic><topic>Biomarkers, Tumor - metabolism</topic><topic>Blotting, Western</topic><topic>Case-Control Studies</topic><topic>Cell Line, Tumor</topic><topic>Cell Movement</topic><topic>Chromatography, Liquid</topic><topic>Epithelium - metabolism</topic><topic>Epithelium - pathology</topic><topic>Female</topic><topic>Gene Silencing</topic><topic>Humans</topic><topic>Immunohistochemistry</topic><topic>Isocitrate Dehydrogenase - genetics</topic><topic>Isocitrate Dehydrogenase - metabolism</topic><topic>iTRAQ</topic><topic>Keratin-8 - genetics</topic><topic>Keratin-8 - metabolism</topic><topic>MASS SPECTROMETRY</topic><topic>Neoplasm Proteins - analysis</topic><topic>Neoplasm Proteins - metabolism</topic><topic>OVARIAN CANCER</topic><topic>Ovarian Neoplasms - genetics</topic><topic>Ovarian Neoplasms - metabolism</topic><topic>Ovarian Neoplasms - pathology</topic><topic>Proteome - analysis</topic><topic>Proteome - metabolism</topic><topic>PROTEOMICS</topic><topic>Proteomics - methods</topic><topic>Reagent Kits, Diagnostic</topic><topic>Reverse Transcriptase Polymerase Chain Reaction</topic><topic>RNA, Small Interfering - genetics</topic><topic>RNA, Small Interfering - metabolism</topic><topic>S100 Proteins - genetics</topic><topic>S100 Proteins - metabolism</topic><topic>Staining and Labeling</topic><topic>Tandem Mass Spectrometry</topic><topic>Tissue Array Analysis</topic><topic>Transfection</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Li-Na</creatorcontrib><creatorcontrib>Tong, Shi-Wen</creatorcontrib><creatorcontrib>Hu, Huai-Dong</creatorcontrib><creatorcontrib>Ye, Feng</creatorcontrib><creatorcontrib>Li, Sang-Lin</creatorcontrib><creatorcontrib>Ren, Hong</creatorcontrib><creatorcontrib>Zhang, Da-Zhi</creatorcontrib><creatorcontrib>Xiang, Rong</creatorcontrib><creatorcontrib>Yang, Yi-Xuan</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><jtitle>Journal of cellular biochemistry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Li-Na</au><au>Tong, Shi-Wen</au><au>Hu, Huai-Dong</au><au>Ye, Feng</au><au>Li, Sang-Lin</au><au>Ren, Hong</au><au>Zhang, Da-Zhi</au><au>Xiang, Rong</au><au>Yang, Yi-Xuan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Quantitative proteome analysis of ovarian cancer tissues using a iTRAQ approach</atitle><jtitle>Journal of cellular biochemistry</jtitle><addtitle>J. Cell. Biochem</addtitle><date>2012-12</date><risdate>2012</risdate><volume>113</volume><issue>12</issue><spage>3762</spage><epage>3772</epage><pages>3762-3772</pages><issn>0730-2312</issn><eissn>1097-4644</eissn><abstract>Quantitative proteomics can be used as a screening tool for identification of differentially expressed proteins as potential biomarkers for cancers. Here, we comparatively analyzed the proteome profiles of ovarian cancer tissues and normal ovarian epithelial tissues. Using the high‐throughput proteomic technology of isobaric tags for relative and absolute quantitation (iTRAQ)‐coupled with two‐dimensional‐liquid chromatography‐tandem mass spectrometry, 1,259 unique proteins were identified. Of those, 205 were potentially differentially expressed between ovarian cancer and normal ovarian tissues. Several of the potentially differentially expressed proteins were validated by Western blotting and real‐time quantitative RT‐PCR analyses. Furthermore, up‐regulation of KRT8, PPA1, IDH2, and S100A11 were validated in ovarian tissue microarrays by immunohistochemistry. Silencing of S100A11 expression suppressed the migration and invasion properties of ovarian cancer cells in vitro. Our study represents the successful application of iTRAQ technology to an investigation of ovarian cancer. Many of the potentially differentially expressed proteins identified had not been linked to ovarian cancer before, and provide valuable novel insights into the underlying mechanisms of carcinogenesis in human ovarian cancer. J. Cell. Biochem. 113: 3762–3772, 2012. © 2012 Wiley Periodicals, Inc.</abstract><cop>Hoboken</cop><pub>Wiley Subscription Services, Inc., A Wiley Company</pub><pmid>22807371</pmid><doi>10.1002/jcb.24250</doi><tpages>11</tpages></addata></record> |
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| subjects | Biomarkers, Tumor - analysis Biomarkers, Tumor - metabolism Blotting, Western Case-Control Studies Cell Line, Tumor Cell Movement Chromatography, Liquid Epithelium - metabolism Epithelium - pathology Female Gene Silencing Humans Immunohistochemistry Isocitrate Dehydrogenase - genetics Isocitrate Dehydrogenase - metabolism iTRAQ Keratin-8 - genetics Keratin-8 - metabolism MASS SPECTROMETRY Neoplasm Proteins - analysis Neoplasm Proteins - metabolism OVARIAN CANCER Ovarian Neoplasms - genetics Ovarian Neoplasms - metabolism Ovarian Neoplasms - pathology Proteome - analysis Proteome - metabolism PROTEOMICS Proteomics - methods Reagent Kits, Diagnostic Reverse Transcriptase Polymerase Chain Reaction RNA, Small Interfering - genetics RNA, Small Interfering - metabolism S100 Proteins - genetics S100 Proteins - metabolism Staining and Labeling Tandem Mass Spectrometry Tissue Array Analysis Transfection |
| title | Quantitative proteome analysis of ovarian cancer tissues using a iTRAQ approach |
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