Proteogenomic Analysis of Human Chromosome 9‑Encoded Genes from Human Samples and Lung Cancer Tissues
The Chromosome-centric Human Proteome Project (C-HPP) was recently initiated as an international collaborative effort. Our team adopted chromosome 9 (Chr 9) and performed a bioinformatics and proteogenomic analysis to catalog Chr 9-encoded proteins from normal tissues, lung cancer cell lines, and lu...
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Veröffentlicht in: | Journal of proteome research 2014-01, Vol.13 (1), p.137-146 |
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creator | Ahn, Jung-Mo Kim, Min-Sik Kim, Yong-In Jeong, Seul-Ki Lee, Hyoung-Joo Lee, Sun Hee Paik, Young-Ki Pandey, Akhilesh Cho, Je-Yoel |
description | The Chromosome-centric Human Proteome Project (C-HPP) was recently initiated as an international collaborative effort. Our team adopted chromosome 9 (Chr 9) and performed a bioinformatics and proteogenomic analysis to catalog Chr 9-encoded proteins from normal tissues, lung cancer cell lines, and lung cancer tissues. Approximately 74.7% of the Chr 9 genes of the human genome were identified, which included approximately 28% of missing proteins (46 of 162) on Chr 9 compared with the list of missing proteins from the neXtProt Master Table (2013-09). In addition, we performed a comparative proteomics analysis between normal lung and lung cancer tissues. On the basis of the data analysis, 15 proteins from Chr 9 were detected only in lung cancer tissues. Finally, we conducted a proteogenomic analysis to discover Chr 9-residing single nucleotide polymorphisms (SNP) and mutations described in the COSMIC cancer mutation database. We identified 21 SNPs and four mutations containing peptides on Chr 9 from normal human cells/tissues and lung cancer cell lines, respectively. In summary, this study provides valuable information of the human proteome for the scientific community as part of C-HPP. The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium with the data set identifier PXD000603. |
doi_str_mv | 10.1021/pr400792p |
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Our team adopted chromosome 9 (Chr 9) and performed a bioinformatics and proteogenomic analysis to catalog Chr 9-encoded proteins from normal tissues, lung cancer cell lines, and lung cancer tissues. Approximately 74.7% of the Chr 9 genes of the human genome were identified, which included approximately 28% of missing proteins (46 of 162) on Chr 9 compared with the list of missing proteins from the neXtProt Master Table (2013-09). In addition, we performed a comparative proteomics analysis between normal lung and lung cancer tissues. On the basis of the data analysis, 15 proteins from Chr 9 were detected only in lung cancer tissues. Finally, we conducted a proteogenomic analysis to discover Chr 9-residing single nucleotide polymorphisms (SNP) and mutations described in the COSMIC cancer mutation database. We identified 21 SNPs and four mutations containing peptides on Chr 9 from normal human cells/tissues and lung cancer cell lines, respectively. In summary, this study provides valuable information of the human proteome for the scientific community as part of C-HPP. The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium with the data set identifier PXD000603.</description><identifier>ISSN: 1535-3893</identifier><identifier>ISSN: 1535-3907</identifier><identifier>EISSN: 1535-3907</identifier><identifier>DOI: 10.1021/pr400792p</identifier><identifier>PMID: 24274035</identifier><language>eng</language><publisher>United States: American Chemical Society</publisher><subject>bioinformatics ; cell lines ; chromosomes ; Chromosomes, Human, Pair 9 ; data collection ; genes ; Genome, Human ; Humans ; lung neoplasms ; Lung Neoplasms - genetics ; lungs ; mass spectrometry ; Mutation ; peptides ; Polymorphism, Single Nucleotide ; proteins ; Proteome ; proteomics ; single nucleotide polymorphism</subject><ispartof>Journal of proteome research, 2014-01, Vol.13 (1), p.137-146</ispartof><rights>Copyright © 2013 American Chemical Society</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a438t-3e973455bd53b5d913ebb9402c22617f6d89dcc73144ae52efecd92a256b6d613</citedby><cites>FETCH-LOGICAL-a438t-3e973455bd53b5d913ebb9402c22617f6d89dcc73144ae52efecd92a256b6d613</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://pubs.acs.org/doi/pdf/10.1021/pr400792p$$EPDF$$P50$$Gacs$$H</linktopdf><linktohtml>$$Uhttps://pubs.acs.org/doi/10.1021/pr400792p$$EHTML$$P50$$Gacs$$H</linktohtml><link.rule.ids>230,314,776,780,881,2752,27053,27901,27902,56713,56763</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24274035$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ahn, Jung-Mo</creatorcontrib><creatorcontrib>Kim, Min-Sik</creatorcontrib><creatorcontrib>Kim, Yong-In</creatorcontrib><creatorcontrib>Jeong, Seul-Ki</creatorcontrib><creatorcontrib>Lee, Hyoung-Joo</creatorcontrib><creatorcontrib>Lee, Sun Hee</creatorcontrib><creatorcontrib>Paik, Young-Ki</creatorcontrib><creatorcontrib>Pandey, Akhilesh</creatorcontrib><creatorcontrib>Cho, Je-Yoel</creatorcontrib><title>Proteogenomic Analysis of Human Chromosome 9‑Encoded Genes from Human Samples and Lung Cancer Tissues</title><title>Journal of proteome research</title><addtitle>J. Proteome Res</addtitle><description>The Chromosome-centric Human Proteome Project (C-HPP) was recently initiated as an international collaborative effort. Our team adopted chromosome 9 (Chr 9) and performed a bioinformatics and proteogenomic analysis to catalog Chr 9-encoded proteins from normal tissues, lung cancer cell lines, and lung cancer tissues. Approximately 74.7% of the Chr 9 genes of the human genome were identified, which included approximately 28% of missing proteins (46 of 162) on Chr 9 compared with the list of missing proteins from the neXtProt Master Table (2013-09). In addition, we performed a comparative proteomics analysis between normal lung and lung cancer tissues. On the basis of the data analysis, 15 proteins from Chr 9 were detected only in lung cancer tissues. Finally, we conducted a proteogenomic analysis to discover Chr 9-residing single nucleotide polymorphisms (SNP) and mutations described in the COSMIC cancer mutation database. We identified 21 SNPs and four mutations containing peptides on Chr 9 from normal human cells/tissues and lung cancer cell lines, respectively. In summary, this study provides valuable information of the human proteome for the scientific community as part of C-HPP. The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium with the data set identifier PXD000603.</description><subject>bioinformatics</subject><subject>cell lines</subject><subject>chromosomes</subject><subject>Chromosomes, Human, Pair 9</subject><subject>data collection</subject><subject>genes</subject><subject>Genome, Human</subject><subject>Humans</subject><subject>lung neoplasms</subject><subject>Lung Neoplasms - genetics</subject><subject>lungs</subject><subject>mass spectrometry</subject><subject>Mutation</subject><subject>peptides</subject><subject>Polymorphism, Single Nucleotide</subject><subject>proteins</subject><subject>Proteome</subject><subject>proteomics</subject><subject>single nucleotide polymorphism</subject><issn>1535-3893</issn><issn>1535-3907</issn><issn>1535-3907</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkc1KJDEQx8PisrruHnwByUVwD7Pms7tzEYbBLxhYYd1zSCfVY0t30ibTgjdfwVf0Scww4-CC4KlC1Y8_lfohdEDJb0oYPRmiIKRUbPiC9qjkcsIVKXfe3pXiu-h7SneEUFkS_g3tMsFKQbjcQ4vrGJYQFuBD31o89aZ7TG3CocGXY288nt3G0IcUesDq5en5zNvgwOEL8JBwk2cb7q_phy63jHd4PvoFnhlvIeKbNqUR0g_0tTFdgp-buo_-nZ_dzC4n8z8XV7PpfGIEr5YTDqrkQsraSV5LpyiHulaCMMtYQcumcJVy1pacCmFAMmjAOsUMk0VduILyfXS6zh3GugdnwS-j6fQQ297ERx1Mq_-f-PZWL8KD5opWoixywPEmIIb7vPhS922y0HXGQxiTZkSuLkrzIT9DqcgaZMWqFfprjdoYUorQbDeiRK8c6q3DzB6-_8KWfJOWgaM1YGzSd2GMWVr6IOgVseKk2g</recordid><startdate>20140103</startdate><enddate>20140103</enddate><creator>Ahn, Jung-Mo</creator><creator>Kim, Min-Sik</creator><creator>Kim, Yong-In</creator><creator>Jeong, Seul-Ki</creator><creator>Lee, Hyoung-Joo</creator><creator>Lee, Sun Hee</creator><creator>Paik, Young-Ki</creator><creator>Pandey, Akhilesh</creator><creator>Cho, Je-Yoel</creator><general>American Chemical Society</general><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>7X8</scope><scope>7S9</scope><scope>L.6</scope><scope>5PM</scope></search><sort><creationdate>20140103</creationdate><title>Proteogenomic Analysis of Human Chromosome 9‑Encoded Genes from Human Samples and Lung Cancer Tissues</title><author>Ahn, Jung-Mo ; Kim, Min-Sik ; Kim, Yong-In ; Jeong, Seul-Ki ; Lee, Hyoung-Joo ; Lee, Sun Hee ; Paik, Young-Ki ; Pandey, Akhilesh ; Cho, Je-Yoel</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a438t-3e973455bd53b5d913ebb9402c22617f6d89dcc73144ae52efecd92a256b6d613</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>bioinformatics</topic><topic>cell lines</topic><topic>chromosomes</topic><topic>Chromosomes, Human, Pair 9</topic><topic>data collection</topic><topic>genes</topic><topic>Genome, Human</topic><topic>Humans</topic><topic>lung neoplasms</topic><topic>Lung Neoplasms - genetics</topic><topic>lungs</topic><topic>mass spectrometry</topic><topic>Mutation</topic><topic>peptides</topic><topic>Polymorphism, Single Nucleotide</topic><topic>proteins</topic><topic>Proteome</topic><topic>proteomics</topic><topic>single nucleotide polymorphism</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ahn, Jung-Mo</creatorcontrib><creatorcontrib>Kim, Min-Sik</creatorcontrib><creatorcontrib>Kim, Yong-In</creatorcontrib><creatorcontrib>Jeong, Seul-Ki</creatorcontrib><creatorcontrib>Lee, Hyoung-Joo</creatorcontrib><creatorcontrib>Lee, Sun Hee</creatorcontrib><creatorcontrib>Paik, Young-Ki</creatorcontrib><creatorcontrib>Pandey, Akhilesh</creatorcontrib><creatorcontrib>Cho, Je-Yoel</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of proteome research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ahn, Jung-Mo</au><au>Kim, Min-Sik</au><au>Kim, Yong-In</au><au>Jeong, Seul-Ki</au><au>Lee, Hyoung-Joo</au><au>Lee, Sun Hee</au><au>Paik, Young-Ki</au><au>Pandey, Akhilesh</au><au>Cho, Je-Yoel</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Proteogenomic Analysis of Human Chromosome 9‑Encoded Genes from Human Samples and Lung Cancer Tissues</atitle><jtitle>Journal of proteome research</jtitle><addtitle>J. Proteome Res</addtitle><date>2014-01-03</date><risdate>2014</risdate><volume>13</volume><issue>1</issue><spage>137</spage><epage>146</epage><pages>137-146</pages><issn>1535-3893</issn><issn>1535-3907</issn><eissn>1535-3907</eissn><abstract>The Chromosome-centric Human Proteome Project (C-HPP) was recently initiated as an international collaborative effort. Our team adopted chromosome 9 (Chr 9) and performed a bioinformatics and proteogenomic analysis to catalog Chr 9-encoded proteins from normal tissues, lung cancer cell lines, and lung cancer tissues. Approximately 74.7% of the Chr 9 genes of the human genome were identified, which included approximately 28% of missing proteins (46 of 162) on Chr 9 compared with the list of missing proteins from the neXtProt Master Table (2013-09). In addition, we performed a comparative proteomics analysis between normal lung and lung cancer tissues. On the basis of the data analysis, 15 proteins from Chr 9 were detected only in lung cancer tissues. Finally, we conducted a proteogenomic analysis to discover Chr 9-residing single nucleotide polymorphisms (SNP) and mutations described in the COSMIC cancer mutation database. We identified 21 SNPs and four mutations containing peptides on Chr 9 from normal human cells/tissues and lung cancer cell lines, respectively. In summary, this study provides valuable information of the human proteome for the scientific community as part of C-HPP. The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium with the data set identifier PXD000603.</abstract><cop>United States</cop><pub>American Chemical Society</pub><pmid>24274035</pmid><doi>10.1021/pr400792p</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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subjects | bioinformatics cell lines chromosomes Chromosomes, Human, Pair 9 data collection genes Genome, Human Humans lung neoplasms Lung Neoplasms - genetics lungs mass spectrometry Mutation peptides Polymorphism, Single Nucleotide proteins Proteome proteomics single nucleotide polymorphism |
title | Proteogenomic Analysis of Human Chromosome 9‑Encoded Genes from Human Samples and Lung Cancer Tissues |
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