Reconstruction of the yeast protein-protein interaction network involved in nutrient sensing and global metabolic regulation
Artikel i vetenskaplig tidskrift, 2010

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.

Transcription

Saccharomyces-Cerevisiae

SNF1 Kinase

Systems Biology

Reveals

Genes

Probe Level

Growth-Rate

Normalization

Stress

Författare

Subir Kumar Nandy

Chalmers, Kemi- och bioteknik, Livsvetenskaper, Systembiologi

Paula Jouhten

Chalmers, Kemi- och bioteknik, Livsvetenskaper, Systembiologi

Jens B Nielsen

Chalmers, Kemi- och bioteknik, Livsvetenskaper, Systembiologi

BMC Systems Biology

1752-0509 (ISSN)

Vol. 4 68- 68

Styrkeområden

Livsvetenskaper och teknik

Ämneskategorier

Bioinformatik och systembiologi

Annan industriell bioteknik

DOI

10.1186/1752-0509-4-68