Global analysis of phosphorylation networks in humans
Phosphorylation-mediated signaling plays a crucial role in nearly every aspect of cellular physiology. A recent study based on protein microarray experiments identified a large number of kinase–substrate relationships (KSRs), and built a comprehensive and reliable phosphorylation network in humans....
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Veröffentlicht in: | Biochimica et biophysica acta 2014-01, Vol.1844 (1), p.224-231 |
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creator | Hu, Jianfei Rho, Hee-Sool Newman, Robert H. Hwang, Woochang Neiswinger, John Zhu, Heng Zhang, Jin Qian, Jiang |
description | Phosphorylation-mediated signaling plays a crucial role in nearly every aspect of cellular physiology. A recent study based on protein microarray experiments identified a large number of kinase–substrate relationships (KSRs), and built a comprehensive and reliable phosphorylation network in humans. Analysis of this network, in conjunction with additional resources, revealed several key features. First, comparison of the human and yeast phosphorylation networks uncovered an evolutionarily conserved signaling backbone dominated by kinase-to-kinase relationships. Second, although most of the KSRs themselves are not conserved, the functions enriched in the substrates for a given kinase are often conserved. Third, the prevalence of kinase-transcription factor regulatory modules suggests that phosphorylation and transcriptional regulatory networks are inherently wired together to form integrated regulatory circuits. Overall, the phosphorylation networks described in this work promise to offer new insights into the properties of kinase signaling pathways, at both the global and the protein levels. This article is part of a Special Issue entitled: Computational Proteomics, Systems Biology & Clinical Implications. Guest Editor: Yudong Cai.
•A conserved kinase-to-kinase backbone exists in the phosphorylation networks.•Functions of homologous kinases are often conserved, even with distinct substrates.•Phosphorylation networks are inherently wired with gene regulatory networks. |
doi_str_mv | 10.1016/j.bbapap.2013.03.009 |
format | Article |
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•A conserved kinase-to-kinase backbone exists in the phosphorylation networks.•Functions of homologous kinases are often conserved, even with distinct substrates.•Phosphorylation networks are inherently wired with gene regulatory networks.</description><identifier>ISSN: 1570-9639</identifier><identifier>ISSN: 0006-3002</identifier><identifier>EISSN: 1878-1454</identifier><identifier>DOI: 10.1016/j.bbapap.2013.03.009</identifier><identifier>PMID: 23524292</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>Computational Biology - methods ; Conservation ; Gene Regulatory Networks ; Humans ; Kinase–substrate relationships (KSRs) ; microarray technology ; Network module ; Phosphorylation ; Phosphorylation network ; Phosphotransferases - chemistry ; Phosphotransferases - genetics ; physiology ; Proteomics ; Saccharomyces cerevisiae - genetics ; signal transduction ; Signal Transduction - genetics ; Systems Biology ; transcription (genetics) ; Transcription Factors - genetics ; yeasts</subject><ispartof>Biochimica et biophysica acta, 2014-01, Vol.1844 (1), p.224-231</ispartof><rights>2013 Elsevier B.V.</rights><rights>Copyright © 2013 Elsevier B.V. All rights reserved.</rights><rights>2013 Elsevier B.V. All rights reserved. 2013</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c595t-18b079cfc50affeca3e8fee0d781f293965c2d60635473a87e49d55531c360893</citedby><cites>FETCH-LOGICAL-c595t-18b079cfc50affeca3e8fee0d781f293965c2d60635473a87e49d55531c360893</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S1570963913001222$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,881,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23524292$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hu, Jianfei</creatorcontrib><creatorcontrib>Rho, Hee-Sool</creatorcontrib><creatorcontrib>Newman, Robert H.</creatorcontrib><creatorcontrib>Hwang, Woochang</creatorcontrib><creatorcontrib>Neiswinger, John</creatorcontrib><creatorcontrib>Zhu, Heng</creatorcontrib><creatorcontrib>Zhang, Jin</creatorcontrib><creatorcontrib>Qian, Jiang</creatorcontrib><title>Global analysis of phosphorylation networks in humans</title><title>Biochimica et biophysica acta</title><addtitle>Biochim Biophys Acta</addtitle><description>Phosphorylation-mediated signaling plays a crucial role in nearly every aspect of cellular physiology. A recent study based on protein microarray experiments identified a large number of kinase–substrate relationships (KSRs), and built a comprehensive and reliable phosphorylation network in humans. Analysis of this network, in conjunction with additional resources, revealed several key features. First, comparison of the human and yeast phosphorylation networks uncovered an evolutionarily conserved signaling backbone dominated by kinase-to-kinase relationships. Second, although most of the KSRs themselves are not conserved, the functions enriched in the substrates for a given kinase are often conserved. Third, the prevalence of kinase-transcription factor regulatory modules suggests that phosphorylation and transcriptional regulatory networks are inherently wired together to form integrated regulatory circuits. Overall, the phosphorylation networks described in this work promise to offer new insights into the properties of kinase signaling pathways, at both the global and the protein levels. This article is part of a Special Issue entitled: Computational Proteomics, Systems Biology & Clinical Implications. Guest Editor: Yudong Cai.
•A conserved kinase-to-kinase backbone exists in the phosphorylation networks.•Functions of homologous kinases are often conserved, even with distinct substrates.•Phosphorylation networks are inherently wired with gene regulatory networks.</description><subject>Computational Biology - methods</subject><subject>Conservation</subject><subject>Gene Regulatory Networks</subject><subject>Humans</subject><subject>Kinase–substrate relationships (KSRs)</subject><subject>microarray technology</subject><subject>Network module</subject><subject>Phosphorylation</subject><subject>Phosphorylation network</subject><subject>Phosphotransferases - chemistry</subject><subject>Phosphotransferases - genetics</subject><subject>physiology</subject><subject>Proteomics</subject><subject>Saccharomyces cerevisiae - genetics</subject><subject>signal transduction</subject><subject>Signal Transduction - genetics</subject><subject>Systems Biology</subject><subject>transcription (genetics)</subject><subject>Transcription Factors - genetics</subject><subject>yeasts</subject><issn>1570-9639</issn><issn>0006-3002</issn><issn>1878-1454</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFUUtv1DAQthCIPuAfIJQjlyzjt31BQhUtlSr1AmfLcSasl6wd7GzR_vtmtaXApZVmNCPNN988PkLeUVhRoOrjZtV1fvLTigHlK1gM7AtySo02LRVSvFxyqaG1itsTclbrBoCB1vI1OWFcMsEsOyXyasydHxuf_LivsTZ5aKZ1rouX_ejnmFOTcP6dy8_axNSsd1uf6hvyavBjxbcP8Zx8v_zy7eJre3N7dX3x-aYN0sq5paYDbcMQJPhhwOA5mgERem3owCy3SgbWK1BcCs290ShsL6XkNHAFxvJz8unIO-26LfYB01z86KYSt77sXfbR_V9Jce1-5DvHDZXC0IXgwwNByb92WGe3jTXgOPqEeVcdAwAqLFD5LJQaxq3QoOF5qFCKaymYWqDiCA0l11pweFyegjvo6DbuqKM76OhgMTgc_v7fwx-b_gj39zO4vP8uYnE1REwB-1gwzK7P8ekJ92Lhr-c</recordid><startdate>20140101</startdate><enddate>20140101</enddate><creator>Hu, Jianfei</creator><creator>Rho, Hee-Sool</creator><creator>Newman, Robert H.</creator><creator>Hwang, Woochang</creator><creator>Neiswinger, John</creator><creator>Zhu, Heng</creator><creator>Zhang, Jin</creator><creator>Qian, Jiang</creator><general>Elsevier B.V</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>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>7S9</scope><scope>L.6</scope><scope>5PM</scope></search><sort><creationdate>20140101</creationdate><title>Global analysis of phosphorylation networks in humans</title><author>Hu, Jianfei ; Rho, Hee-Sool ; Newman, Robert H. ; Hwang, Woochang ; Neiswinger, John ; Zhu, Heng ; Zhang, Jin ; Qian, Jiang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c595t-18b079cfc50affeca3e8fee0d781f293965c2d60635473a87e49d55531c360893</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Computational Biology - methods</topic><topic>Conservation</topic><topic>Gene Regulatory Networks</topic><topic>Humans</topic><topic>Kinase–substrate relationships (KSRs)</topic><topic>microarray technology</topic><topic>Network module</topic><topic>Phosphorylation</topic><topic>Phosphorylation network</topic><topic>Phosphotransferases - chemistry</topic><topic>Phosphotransferases - genetics</topic><topic>physiology</topic><topic>Proteomics</topic><topic>Saccharomyces cerevisiae - genetics</topic><topic>signal transduction</topic><topic>Signal Transduction - genetics</topic><topic>Systems Biology</topic><topic>transcription (genetics)</topic><topic>Transcription Factors - genetics</topic><topic>yeasts</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hu, Jianfei</creatorcontrib><creatorcontrib>Rho, Hee-Sool</creatorcontrib><creatorcontrib>Newman, Robert H.</creatorcontrib><creatorcontrib>Hwang, Woochang</creatorcontrib><creatorcontrib>Neiswinger, John</creatorcontrib><creatorcontrib>Zhu, Heng</creatorcontrib><creatorcontrib>Zhang, Jin</creatorcontrib><creatorcontrib>Qian, Jiang</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>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Biochimica et biophysica acta</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hu, Jianfei</au><au>Rho, Hee-Sool</au><au>Newman, Robert H.</au><au>Hwang, Woochang</au><au>Neiswinger, John</au><au>Zhu, Heng</au><au>Zhang, Jin</au><au>Qian, Jiang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Global analysis of phosphorylation networks in humans</atitle><jtitle>Biochimica et biophysica acta</jtitle><addtitle>Biochim Biophys Acta</addtitle><date>2014-01-01</date><risdate>2014</risdate><volume>1844</volume><issue>1</issue><spage>224</spage><epage>231</epage><pages>224-231</pages><issn>1570-9639</issn><issn>0006-3002</issn><eissn>1878-1454</eissn><abstract>Phosphorylation-mediated signaling plays a crucial role in nearly every aspect of cellular physiology. A recent study based on protein microarray experiments identified a large number of kinase–substrate relationships (KSRs), and built a comprehensive and reliable phosphorylation network in humans. Analysis of this network, in conjunction with additional resources, revealed several key features. First, comparison of the human and yeast phosphorylation networks uncovered an evolutionarily conserved signaling backbone dominated by kinase-to-kinase relationships. Second, although most of the KSRs themselves are not conserved, the functions enriched in the substrates for a given kinase are often conserved. Third, the prevalence of kinase-transcription factor regulatory modules suggests that phosphorylation and transcriptional regulatory networks are inherently wired together to form integrated regulatory circuits. Overall, the phosphorylation networks described in this work promise to offer new insights into the properties of kinase signaling pathways, at both the global and the protein levels. This article is part of a Special Issue entitled: Computational Proteomics, Systems Biology & Clinical Implications. Guest Editor: Yudong Cai.
•A conserved kinase-to-kinase backbone exists in the phosphorylation networks.•Functions of homologous kinases are often conserved, even with distinct substrates.•Phosphorylation networks are inherently wired with gene regulatory networks.</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>23524292</pmid><doi>10.1016/j.bbapap.2013.03.009</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Computational Biology - methods Conservation Gene Regulatory Networks Humans Kinase–substrate relationships (KSRs) microarray technology Network module Phosphorylation Phosphorylation network Phosphotransferases - chemistry Phosphotransferases - genetics physiology Proteomics Saccharomyces cerevisiae - genetics signal transduction Signal Transduction - genetics Systems Biology transcription (genetics) Transcription Factors - genetics yeasts |
title | Global analysis of phosphorylation networks in humans |
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