Systematic Analyses of the Transcriptome, Translatome, and Proteome Provide a Global View and Potential Strategy for the C‑HPP
To estimate the potential of the state-of-the-art proteomics technologies on full coverage of the encoding gene products, the Chinese Human Chromosome Proteome Consortium (CCPC) applied a multiomics strategy to systematically analyze the transciptome, translatome, and proteome of the same cultured h...
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creator | Chang, Cheng Li, Liwei Zhang, Chengpu Wu, Songfeng Guo, Kun Zi, Jin Chen, Zhipeng Jiang, Jing Ma, Jie Yu, Qing Fan, Fengxu Qin, Peibin Han, Mingfei Su, Na Chen, Tao Wang, Kang Zhai, Linhui Zhang, Tao Ying, Wantao Xu, Zhongwei Zhang, Yang Liu, Yinkun Liu, Xiaohui Zhong, Fan Shen, Huali Wang, Quanhui Hou, Guixue Zhao, Haiyi Li, Guilin Liu, Siqi Gu, Wei Wang, Guibin Wang, Tong Zhang, Gong Qian, Xiaohong Li, Ning He, Qing-Yu Lin, Liang Yang, Pengyuan Zhu, Yunping He, Fuchu Xu, Ping |
description | To estimate the potential of the state-of-the-art proteomics technologies on full coverage of the encoding gene products, the Chinese Human Chromosome Proteome Consortium (CCPC) applied a multiomics strategy to systematically analyze the transciptome, translatome, and proteome of the same cultured hepatoma cells with varied metastatic potential qualitatively and quantitatively. The results provide a global view of gene expression profiles. The 9064 identified high confident proteins covered 50.2% of all gene products in the translatome. Those proteins with function of adhesion, development, reproduction, and so on are low abundant in transcriptome and translatome but absent in proteome. Taking the translatome as the background of protein expression, we found that the protein abundance plays a decisive role and hydrophobicity has a greater influence than molecular weight and isoelectric point on protein detectability. Thus, the enrichment strategy used for low-abundant transcription factors helped to identify missing proteins. In addition, those peptides with single amino acid polymorphisms played a significant role for the disease research, although they might negligibly contribute to new protein identification. The proteome raw and metadata of proteome were collected using the iProX submission system and submitted to ProteomeXchange (PXD000529, PXD000533, and PXD000535). All detailed information in this study can be accessed from the Chinese Chromosome-Centric Human Proteome Database. |
doi_str_mv | 10.1021/pr4009018 |
format | Article |
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The results provide a global view of gene expression profiles. The 9064 identified high confident proteins covered 50.2% of all gene products in the translatome. Those proteins with function of adhesion, development, reproduction, and so on are low abundant in transcriptome and translatome but absent in proteome. Taking the translatome as the background of protein expression, we found that the protein abundance plays a decisive role and hydrophobicity has a greater influence than molecular weight and isoelectric point on protein detectability. Thus, the enrichment strategy used for low-abundant transcription factors helped to identify missing proteins. In addition, those peptides with single amino acid polymorphisms played a significant role for the disease research, although they might negligibly contribute to new protein identification. The proteome raw and metadata of proteome were collected using the iProX submission system and submitted to ProteomeXchange (PXD000529, PXD000533, and PXD000535). All detailed information in this study can be accessed from the Chinese Chromosome-Centric Human Proteome Database.</description><identifier>ISSN: 1535-3893</identifier><identifier>EISSN: 1535-3907</identifier><identifier>DOI: 10.1021/pr4009018</identifier><identifier>PMID: 24256510</identifier><language>eng</language><publisher>United States: American Chemical Society</publisher><subject>Cell Line, Tumor ; Gene Expression Profiling ; Humans ; Mass Spectrometry ; Protein Biosynthesis ; Proteome ; Transcriptome</subject><ispartof>Journal of proteome research, 2014-01, Vol.13 (1), p.38-49</ispartof><rights>Copyright © 2013 American Chemical Society</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a315t-9da4a74bc7a17356c59915e3f4808c869807b723d249ab4ab83af348ef71e8fd3</citedby><cites>FETCH-LOGICAL-a315t-9da4a74bc7a17356c59915e3f4808c869807b723d249ab4ab83af348ef71e8fd3</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/pr4009018$$EPDF$$P50$$Gacs$$H</linktopdf><linktohtml>$$Uhttps://pubs.acs.org/doi/10.1021/pr4009018$$EHTML$$P50$$Gacs$$H</linktohtml><link.rule.ids>315,781,785,2766,27078,27926,27927,56740,56790</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24256510$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Chang, Cheng</creatorcontrib><creatorcontrib>Li, Liwei</creatorcontrib><creatorcontrib>Zhang, Chengpu</creatorcontrib><creatorcontrib>Wu, Songfeng</creatorcontrib><creatorcontrib>Guo, Kun</creatorcontrib><creatorcontrib>Zi, Jin</creatorcontrib><creatorcontrib>Chen, Zhipeng</creatorcontrib><creatorcontrib>Jiang, Jing</creatorcontrib><creatorcontrib>Ma, Jie</creatorcontrib><creatorcontrib>Yu, Qing</creatorcontrib><creatorcontrib>Fan, Fengxu</creatorcontrib><creatorcontrib>Qin, Peibin</creatorcontrib><creatorcontrib>Han, Mingfei</creatorcontrib><creatorcontrib>Su, Na</creatorcontrib><creatorcontrib>Chen, Tao</creatorcontrib><creatorcontrib>Wang, Kang</creatorcontrib><creatorcontrib>Zhai, Linhui</creatorcontrib><creatorcontrib>Zhang, Tao</creatorcontrib><creatorcontrib>Ying, Wantao</creatorcontrib><creatorcontrib>Xu, Zhongwei</creatorcontrib><creatorcontrib>Zhang, Yang</creatorcontrib><creatorcontrib>Liu, Yinkun</creatorcontrib><creatorcontrib>Liu, Xiaohui</creatorcontrib><creatorcontrib>Zhong, Fan</creatorcontrib><creatorcontrib>Shen, Huali</creatorcontrib><creatorcontrib>Wang, Quanhui</creatorcontrib><creatorcontrib>Hou, Guixue</creatorcontrib><creatorcontrib>Zhao, Haiyi</creatorcontrib><creatorcontrib>Li, Guilin</creatorcontrib><creatorcontrib>Liu, Siqi</creatorcontrib><creatorcontrib>Gu, Wei</creatorcontrib><creatorcontrib>Wang, Guibin</creatorcontrib><creatorcontrib>Wang, Tong</creatorcontrib><creatorcontrib>Zhang, Gong</creatorcontrib><creatorcontrib>Qian, Xiaohong</creatorcontrib><creatorcontrib>Li, Ning</creatorcontrib><creatorcontrib>He, Qing-Yu</creatorcontrib><creatorcontrib>Lin, Liang</creatorcontrib><creatorcontrib>Yang, Pengyuan</creatorcontrib><creatorcontrib>Zhu, Yunping</creatorcontrib><creatorcontrib>He, Fuchu</creatorcontrib><creatorcontrib>Xu, Ping</creatorcontrib><title>Systematic Analyses of the Transcriptome, Translatome, and Proteome Provide a Global View and Potential Strategy for the C‑HPP</title><title>Journal of proteome research</title><addtitle>J. Proteome Res</addtitle><description>To estimate the potential of the state-of-the-art proteomics technologies on full coverage of the encoding gene products, the Chinese Human Chromosome Proteome Consortium (CCPC) applied a multiomics strategy to systematically analyze the transciptome, translatome, and proteome of the same cultured hepatoma cells with varied metastatic potential qualitatively and quantitatively. The results provide a global view of gene expression profiles. The 9064 identified high confident proteins covered 50.2% of all gene products in the translatome. Those proteins with function of adhesion, development, reproduction, and so on are low abundant in transcriptome and translatome but absent in proteome. Taking the translatome as the background of protein expression, we found that the protein abundance plays a decisive role and hydrophobicity has a greater influence than molecular weight and isoelectric point on protein detectability. Thus, the enrichment strategy used for low-abundant transcription factors helped to identify missing proteins. In addition, those peptides with single amino acid polymorphisms played a significant role for the disease research, although they might negligibly contribute to new protein identification. The proteome raw and metadata of proteome were collected using the iProX submission system and submitted to ProteomeXchange (PXD000529, PXD000533, and PXD000535). All detailed information in this study can be accessed from the Chinese Chromosome-Centric Human Proteome Database.</description><subject>Cell Line, Tumor</subject><subject>Gene Expression Profiling</subject><subject>Humans</subject><subject>Mass Spectrometry</subject><subject>Protein Biosynthesis</subject><subject>Proteome</subject><subject>Transcriptome</subject><issn>1535-3893</issn><issn>1535-3907</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNptkE1OwzAQhS0EgvKz4ALIGySQKNix3djLqoIWCYlKFLbRJJlAqiQutgvqrlfgipyEQCgrVvPe6NNbfIQcc3bJWcSvFk4yZhjXW6THlVB9YVi8vcnaiD2y7_2cMa5iJnbJXiQjNVCc9cj6YeUD1hDKjA4bqFYePbUFDS9IZw4an7lyEWyNF12toCvQ5HTqbMC2fYe3MkcKdFzZFCr6VOJ7h7REE8r29RAcBHxe0cK6n_XR5_pjMp0ekp0CKo9Hv_eAPN5cz0aT_t39-HY0vOuD4Cr0TQ4SYplmMfBYqEGmjOEKRSE105keGM3iNI5EHkkDqYRUCyiE1FjEHHWRiwNy1u0unH1dog9JXfoMqwoatEufcNk6U9oo0aLnHZo5673DIlm4sga3SjhLvoUnf8Jb9uR3dpnWmP-RG8MtcNoBkPlkbpeulez_GfoCJaCH8g</recordid><startdate>20140103</startdate><enddate>20140103</enddate><creator>Chang, Cheng</creator><creator>Li, Liwei</creator><creator>Zhang, Chengpu</creator><creator>Wu, Songfeng</creator><creator>Guo, Kun</creator><creator>Zi, Jin</creator><creator>Chen, Zhipeng</creator><creator>Jiang, Jing</creator><creator>Ma, Jie</creator><creator>Yu, Qing</creator><creator>Fan, Fengxu</creator><creator>Qin, Peibin</creator><creator>Han, Mingfei</creator><creator>Su, Na</creator><creator>Chen, Tao</creator><creator>Wang, Kang</creator><creator>Zhai, Linhui</creator><creator>Zhang, Tao</creator><creator>Ying, Wantao</creator><creator>Xu, Zhongwei</creator><creator>Zhang, Yang</creator><creator>Liu, Yinkun</creator><creator>Liu, Xiaohui</creator><creator>Zhong, Fan</creator><creator>Shen, Huali</creator><creator>Wang, Quanhui</creator><creator>Hou, Guixue</creator><creator>Zhao, Haiyi</creator><creator>Li, Guilin</creator><creator>Liu, Siqi</creator><creator>Gu, Wei</creator><creator>Wang, Guibin</creator><creator>Wang, Tong</creator><creator>Zhang, Gong</creator><creator>Qian, Xiaohong</creator><creator>Li, Ning</creator><creator>He, Qing-Yu</creator><creator>Lin, Liang</creator><creator>Yang, Pengyuan</creator><creator>Zhu, Yunping</creator><creator>He, Fuchu</creator><creator>Xu, Ping</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></search><sort><creationdate>20140103</creationdate><title>Systematic Analyses of the Transcriptome, Translatome, and Proteome Provide a Global View and Potential Strategy for the C‑HPP</title><author>Chang, Cheng ; Li, Liwei ; Zhang, Chengpu ; Wu, Songfeng ; Guo, Kun ; Zi, Jin ; Chen, Zhipeng ; Jiang, Jing ; Ma, Jie ; Yu, Qing ; Fan, Fengxu ; Qin, Peibin ; Han, Mingfei ; Su, Na ; Chen, Tao ; Wang, Kang ; Zhai, Linhui ; Zhang, Tao ; Ying, Wantao ; Xu, Zhongwei ; Zhang, Yang ; Liu, Yinkun ; Liu, Xiaohui ; Zhong, Fan ; Shen, Huali ; Wang, Quanhui ; Hou, Guixue ; Zhao, Haiyi ; Li, Guilin ; Liu, Siqi ; Gu, Wei ; Wang, Guibin ; Wang, Tong ; Zhang, Gong ; Qian, Xiaohong ; Li, Ning ; He, Qing-Yu ; Lin, Liang ; Yang, Pengyuan ; Zhu, Yunping ; He, Fuchu ; Xu, Ping</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a315t-9da4a74bc7a17356c59915e3f4808c869807b723d249ab4ab83af348ef71e8fd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Cell Line, Tumor</topic><topic>Gene Expression Profiling</topic><topic>Humans</topic><topic>Mass Spectrometry</topic><topic>Protein Biosynthesis</topic><topic>Proteome</topic><topic>Transcriptome</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chang, Cheng</creatorcontrib><creatorcontrib>Li, Liwei</creatorcontrib><creatorcontrib>Zhang, Chengpu</creatorcontrib><creatorcontrib>Wu, Songfeng</creatorcontrib><creatorcontrib>Guo, Kun</creatorcontrib><creatorcontrib>Zi, Jin</creatorcontrib><creatorcontrib>Chen, Zhipeng</creatorcontrib><creatorcontrib>Jiang, Jing</creatorcontrib><creatorcontrib>Ma, Jie</creatorcontrib><creatorcontrib>Yu, Qing</creatorcontrib><creatorcontrib>Fan, Fengxu</creatorcontrib><creatorcontrib>Qin, Peibin</creatorcontrib><creatorcontrib>Han, Mingfei</creatorcontrib><creatorcontrib>Su, Na</creatorcontrib><creatorcontrib>Chen, Tao</creatorcontrib><creatorcontrib>Wang, Kang</creatorcontrib><creatorcontrib>Zhai, Linhui</creatorcontrib><creatorcontrib>Zhang, Tao</creatorcontrib><creatorcontrib>Ying, Wantao</creatorcontrib><creatorcontrib>Xu, Zhongwei</creatorcontrib><creatorcontrib>Zhang, Yang</creatorcontrib><creatorcontrib>Liu, Yinkun</creatorcontrib><creatorcontrib>Liu, Xiaohui</creatorcontrib><creatorcontrib>Zhong, Fan</creatorcontrib><creatorcontrib>Shen, Huali</creatorcontrib><creatorcontrib>Wang, Quanhui</creatorcontrib><creatorcontrib>Hou, Guixue</creatorcontrib><creatorcontrib>Zhao, Haiyi</creatorcontrib><creatorcontrib>Li, Guilin</creatorcontrib><creatorcontrib>Liu, Siqi</creatorcontrib><creatorcontrib>Gu, Wei</creatorcontrib><creatorcontrib>Wang, Guibin</creatorcontrib><creatorcontrib>Wang, Tong</creatorcontrib><creatorcontrib>Zhang, Gong</creatorcontrib><creatorcontrib>Qian, Xiaohong</creatorcontrib><creatorcontrib>Li, Ning</creatorcontrib><creatorcontrib>He, Qing-Yu</creatorcontrib><creatorcontrib>Lin, Liang</creatorcontrib><creatorcontrib>Yang, Pengyuan</creatorcontrib><creatorcontrib>Zhu, Yunping</creatorcontrib><creatorcontrib>He, Fuchu</creatorcontrib><creatorcontrib>Xu, Ping</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><jtitle>Journal of proteome research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chang, Cheng</au><au>Li, Liwei</au><au>Zhang, Chengpu</au><au>Wu, Songfeng</au><au>Guo, Kun</au><au>Zi, Jin</au><au>Chen, Zhipeng</au><au>Jiang, Jing</au><au>Ma, Jie</au><au>Yu, Qing</au><au>Fan, Fengxu</au><au>Qin, Peibin</au><au>Han, Mingfei</au><au>Su, Na</au><au>Chen, Tao</au><au>Wang, Kang</au><au>Zhai, Linhui</au><au>Zhang, Tao</au><au>Ying, Wantao</au><au>Xu, Zhongwei</au><au>Zhang, Yang</au><au>Liu, Yinkun</au><au>Liu, Xiaohui</au><au>Zhong, Fan</au><au>Shen, Huali</au><au>Wang, Quanhui</au><au>Hou, Guixue</au><au>Zhao, Haiyi</au><au>Li, Guilin</au><au>Liu, Siqi</au><au>Gu, Wei</au><au>Wang, Guibin</au><au>Wang, Tong</au><au>Zhang, Gong</au><au>Qian, Xiaohong</au><au>Li, Ning</au><au>He, Qing-Yu</au><au>Lin, Liang</au><au>Yang, Pengyuan</au><au>Zhu, Yunping</au><au>He, Fuchu</au><au>Xu, Ping</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Systematic Analyses of the Transcriptome, Translatome, and Proteome Provide a Global View and Potential Strategy for the C‑HPP</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>38</spage><epage>49</epage><pages>38-49</pages><issn>1535-3893</issn><eissn>1535-3907</eissn><abstract>To estimate the potential of the state-of-the-art proteomics technologies on full coverage of the encoding gene products, the Chinese Human Chromosome Proteome Consortium (CCPC) applied a multiomics strategy to systematically analyze the transciptome, translatome, and proteome of the same cultured hepatoma cells with varied metastatic potential qualitatively and quantitatively. The results provide a global view of gene expression profiles. The 9064 identified high confident proteins covered 50.2% of all gene products in the translatome. Those proteins with function of adhesion, development, reproduction, and so on are low abundant in transcriptome and translatome but absent in proteome. Taking the translatome as the background of protein expression, we found that the protein abundance plays a decisive role and hydrophobicity has a greater influence than molecular weight and isoelectric point on protein detectability. Thus, the enrichment strategy used for low-abundant transcription factors helped to identify missing proteins. In addition, those peptides with single amino acid polymorphisms played a significant role for the disease research, although they might negligibly contribute to new protein identification. The proteome raw and metadata of proteome were collected using the iProX submission system and submitted to ProteomeXchange (PXD000529, PXD000533, and PXD000535). All detailed information in this study can be accessed from the Chinese Chromosome-Centric Human Proteome Database.</abstract><cop>United States</cop><pub>American Chemical Society</pub><pmid>24256510</pmid><doi>10.1021/pr4009018</doi><tpages>12</tpages></addata></record> |
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subjects | Cell Line, Tumor Gene Expression Profiling Humans Mass Spectrometry Protein Biosynthesis Proteome Transcriptome |
title | Systematic Analyses of the Transcriptome, Translatome, and Proteome Provide a Global View and Potential Strategy for the C‑HPP |
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