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Reconstruction of the yeast protein-protein interaction network involved in nutrient sensing and global metabolic regulation

BACKGROUND: Several protein-protein interaction studies have been performed for the yeast Saccharomyces cerevisiae using different high-throughput experimental techniques. All these results are collected in the BioGRID database and the SGD database provide detailed annotation of the different protei...

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Autores principales: Nandy, Subir K, Jouhten, Paula, Nielsen, Jens
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2889877/
https://www.ncbi.nlm.nih.gov/pubmed/20500839
http://dx.doi.org/10.1186/1752-0509-4-68
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author Nandy, Subir K
Jouhten, Paula
Nielsen, Jens
author_facet Nandy, Subir K
Jouhten, Paula
Nielsen, Jens
author_sort Nandy, Subir K
collection PubMed
description BACKGROUND: Several protein-protein interaction studies have been performed for the yeast Saccharomyces cerevisiae using different high-throughput experimental techniques. All these results are collected in the BioGRID database and the SGD database provide detailed annotation of the different proteins. Despite the value of BioGRID for studying protein-protein interactions, there is a need for manual curation of these interactions in order to remove false positives. RESULTS: Here we describe an annotated reconstruction of the protein-protein interactions around four key nutrient-sensing and metabolic regulatory signal transduction pathways (STP) operating in Saccharomyces cerevisiae. The reconstructed STP network includes a full protein-protein interaction network including the key nodes Snf1, Tor1, Hog1 and Pka1. The network includes a total of 623 structural open reading frames (ORFs) and 779 protein-protein interactions. A number of proteins were identified having interactions with more than one of the protein kinases. The fully reconstructed interaction network includes all the information available in separate databases for all the proteins included in the network (nodes) and for all the interactions between them (edges). The annotated information is readily available utilizing the functionalities of network modelling tools such as Cytoscape and CellDesigner. CONCLUSIONS: The reported fully annotated interaction model serves as a platform for integrated systems biology studies of nutrient sensing and regulation in S. cerevisiae. Furthermore, we propose this annotated reconstruction as a first step towards generation of an extensive annotated protein-protein interaction network of signal transduction and metabolic regulation in this yeast.
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spelling pubmed-28898772010-06-23 Reconstruction of the yeast protein-protein interaction network involved in nutrient sensing and global metabolic regulation Nandy, Subir K Jouhten, Paula Nielsen, Jens BMC Syst Biol Research article BACKGROUND: Several protein-protein interaction studies have been performed for the yeast Saccharomyces cerevisiae using different high-throughput experimental techniques. All these results are collected in the BioGRID database and the SGD database provide detailed annotation of the different proteins. Despite the value of BioGRID for studying protein-protein interactions, there is a need for manual curation of these interactions in order to remove false positives. RESULTS: Here we describe an annotated reconstruction of the protein-protein interactions around four key nutrient-sensing and metabolic regulatory signal transduction pathways (STP) operating in Saccharomyces cerevisiae. The reconstructed STP network includes a full protein-protein interaction network including the key nodes Snf1, Tor1, Hog1 and Pka1. The network includes a total of 623 structural open reading frames (ORFs) and 779 protein-protein interactions. A number of proteins were identified having interactions with more than one of the protein kinases. The fully reconstructed interaction network includes all the information available in separate databases for all the proteins included in the network (nodes) and for all the interactions between them (edges). The annotated information is readily available utilizing the functionalities of network modelling tools such as Cytoscape and CellDesigner. CONCLUSIONS: The reported fully annotated interaction model serves as a platform for integrated systems biology studies of nutrient sensing and regulation in S. cerevisiae. Furthermore, we propose this annotated reconstruction as a first step towards generation of an extensive annotated protein-protein interaction network of signal transduction and metabolic regulation in this yeast. BioMed Central 2010-05-25 /pmc/articles/PMC2889877/ /pubmed/20500839 http://dx.doi.org/10.1186/1752-0509-4-68 Text en Copyright ©2010 Nandy et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research article
Nandy, Subir K
Jouhten, Paula
Nielsen, Jens
Reconstruction of the yeast protein-protein interaction network involved in nutrient sensing and global metabolic regulation
title Reconstruction of the yeast protein-protein interaction network involved in nutrient sensing and global metabolic regulation
title_full Reconstruction of the yeast protein-protein interaction network involved in nutrient sensing and global metabolic regulation
title_fullStr Reconstruction of the yeast protein-protein interaction network involved in nutrient sensing and global metabolic regulation
title_full_unstemmed Reconstruction of the yeast protein-protein interaction network involved in nutrient sensing and global metabolic regulation
title_short Reconstruction of the yeast protein-protein interaction network involved in nutrient sensing and global metabolic regulation
title_sort reconstruction of the yeast protein-protein interaction network involved in nutrient sensing and global metabolic regulation
topic Research article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2889877/
https://www.ncbi.nlm.nih.gov/pubmed/20500839
http://dx.doi.org/10.1186/1752-0509-4-68
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