Reconstruction of Protein-Protein Interaction Network of Insulin Signaling in Homo Sapiens
Diabetes is one of the most prevalent diseases in the world. Type 1 diabetes is characterized by the failure of synthesizing and secreting of insulin because of destroyed pancreatic β-cells. Type 2 diabetes, on the other hand, is described by the decreased synthesis and secretion of insulin because...
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description | Diabetes is one of the most prevalent diseases in the world. Type 1 diabetes is characterized by the failure of synthesizing and secreting of insulin because of destroyed pancreatic β-cells. Type 2 diabetes, on the other hand, is described by the decreased synthesis and secretion of insulin because of the defect in pancreatic β-cells as well as by the failure of responding to insulin because of malfunctioning of insulin signaling. In order to understand the signaling mechanisms of responding to insulin, it is necessary to identify all components in the insulin signaling network. Here, an interaction network consisting of proteins that have statistically high probability of being biologically related to insulin signaling in Homo sapiens was reconstructed by integrating Gene Ontology (GO) annotations and interactome data. Furthermore, within this reconstructed network, interacting proteins which mediate the signal from insulin hormone to glucose transportation were identified using linear paths. The identification of key components functioning in insulin action on glucose metabolism is crucial for the efforts of preventing and treating type 2 diabetes mellitus. |
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Type 1 diabetes is characterized by the failure of synthesizing and secreting of insulin because of destroyed pancreatic β-cells. Type 2 diabetes, on the other hand, is described by the decreased synthesis and secretion of insulin because of the defect in pancreatic β-cells as well as by the failure of responding to insulin because of malfunctioning of insulin signaling. In order to understand the signaling mechanisms of responding to insulin, it is necessary to identify all components in the insulin signaling network. Here, an interaction network consisting of proteins that have statistically high probability of being biologically related to insulin signaling in Homo sapiens was reconstructed by integrating Gene Ontology (GO) annotations and interactome data. Furthermore, within this reconstructed network, interacting proteins which mediate the signal from insulin hormone to glucose transportation were identified using linear paths. The identification of key components functioning in insulin action on glucose metabolism is crucial for the efforts of preventing and treating type 2 diabetes mellitus.</description><identifier>ISSN: 1110-7243</identifier><identifier>ISSN: 2314-6133</identifier><identifier>EISSN: 1110-7251</identifier><identifier>EISSN: 2314-6141</identifier><identifier>DOI: 10.1155/2010/690925</identifier><identifier>PMID: 21197403</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Puplishing Corporation</publisher><subject>Algorithms ; Biological and medical sciences ; Biomedical research ; Computational Biology - methods ; Decomposition ; Diabetes Mellitus, Type 2 - metabolism ; Humans ; Insulin ; Insulin - metabolism ; Insulin resistance ; Kinases ; Medical sciences ; Pharmacology. Drug treatments ; Protein Interaction Mapping - methods ; Proteins ; Proteome - metabolism ; Signal Transduction</subject><ispartof>BioMed research international, 2010-01, Vol.2010 (2010), p.1-7</ispartof><rights>Copyright © 2010 Saliha Durmuş Tekir et al.</rights><rights>2015 INIST-CNRS</rights><rights>Copyright © 2010 Saliha Durmus Tekir et al. Saliha Durmus Tekir et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</rights><rights>Copyright © 2010 Saliha Durmuş Tekir et al. 2010 Copyright © 2010 Saliha Durmuş Tekir et al.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c490t-72c4ebd5ce7d40a8dd1c699b9483c6aea2ba3318f3fc576d279421aa420d4d6c3</citedby><cites>FETCH-LOGICAL-c490t-72c4ebd5ce7d40a8dd1c699b9483c6aea2ba3318f3fc576d279421aa420d4d6c3</cites><orcidid>0000-0003-3668-3467</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3010689/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3010689/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27923,27924,53790,53792</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=25883534$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21197403$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Draghici, Sorin</contributor><creatorcontrib>Durmuş Tekir, Saliha</creatorcontrib><creatorcontrib>Ümit, Pelin</creatorcontrib><creatorcontrib>Eren Toku, Aysun</creatorcontrib><creatorcontrib>Ülgen, Kutlu Ö.</creatorcontrib><title>Reconstruction of Protein-Protein Interaction Network of Insulin Signaling in Homo Sapiens</title><title>BioMed research international</title><addtitle>J Biomed Biotechnol</addtitle><description>Diabetes is one of the most prevalent diseases in the world. Type 1 diabetes is characterized by the failure of synthesizing and secreting of insulin because of destroyed pancreatic β-cells. Type 2 diabetes, on the other hand, is described by the decreased synthesis and secretion of insulin because of the defect in pancreatic β-cells as well as by the failure of responding to insulin because of malfunctioning of insulin signaling. In order to understand the signaling mechanisms of responding to insulin, it is necessary to identify all components in the insulin signaling network. Here, an interaction network consisting of proteins that have statistically high probability of being biologically related to insulin signaling in Homo sapiens was reconstructed by integrating Gene Ontology (GO) annotations and interactome data. Furthermore, within this reconstructed network, interacting proteins which mediate the signal from insulin hormone to glucose transportation were identified using linear paths. The identification of key components functioning in insulin action on glucose metabolism is crucial for the efforts of preventing and treating type 2 diabetes mellitus.</description><subject>Algorithms</subject><subject>Biological and medical sciences</subject><subject>Biomedical research</subject><subject>Computational Biology - methods</subject><subject>Decomposition</subject><subject>Diabetes Mellitus, Type 2 - metabolism</subject><subject>Humans</subject><subject>Insulin</subject><subject>Insulin - metabolism</subject><subject>Insulin resistance</subject><subject>Kinases</subject><subject>Medical sciences</subject><subject>Pharmacology. 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Type 1 diabetes is characterized by the failure of synthesizing and secreting of insulin because of destroyed pancreatic β-cells. Type 2 diabetes, on the other hand, is described by the decreased synthesis and secretion of insulin because of the defect in pancreatic β-cells as well as by the failure of responding to insulin because of malfunctioning of insulin signaling. In order to understand the signaling mechanisms of responding to insulin, it is necessary to identify all components in the insulin signaling network. Here, an interaction network consisting of proteins that have statistically high probability of being biologically related to insulin signaling in Homo sapiens was reconstructed by integrating Gene Ontology (GO) annotations and interactome data. Furthermore, within this reconstructed network, interacting proteins which mediate the signal from insulin hormone to glucose transportation were identified using linear paths. 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subjects | Algorithms Biological and medical sciences Biomedical research Computational Biology - methods Decomposition Diabetes Mellitus, Type 2 - metabolism Humans Insulin Insulin - metabolism Insulin resistance Kinases Medical sciences Pharmacology. Drug treatments Protein Interaction Mapping - methods Proteins Proteome - metabolism Signal Transduction |
title | Reconstruction of Protein-Protein Interaction Network of Insulin Signaling in Homo Sapiens |
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