TY - JOUR
T1 - Linkers of cell polarity and cell cycle regulation in the fission yeast protein interaction network
AU - Vaggi, Federico
AU - Dodgson, James
AU - Bajpai, Archana
AU - Chessel, Anatole
AU - Jordán, Ferenc
AU - Sato, Masamitsu
AU - Carazo-Salas, Rafael Edgardo
AU - Csikász-Nagy, Attila
PY - 2012
Y1 - 2012
N2 - The study of gene and protein interaction networks has improved our understanding of the multiple, systemic levels of regulation found in eukaryotic and prokaryotic organisms. Here we carry out a large-scale analysis of the protein-protein interaction (PPI) network of fission yeast (Schizosaccharomyces pombe) and establish a method to identify 'linker' proteins that bridge diverse cellular processes - integrating Gene Ontology and PPI data with network theory measures. We test the method on a highly characterized subset of the genome consisting of proteins controlling the cell cycle, cell polarity and cytokinesis and identify proteins likely to play a key role in controlling the temporal changes in the localization of the polarity machinery. Experimental inspection of one such factor, the polarity-regulating RNB protein Sts5, confirms the prediction that it has a cell cycle dependent regulation. Detailed bibliographic inspection of other predicted 'linkers' also confirms the predictive power of the method. As the method is robust to network perturbations and can successfully predict linker proteins, it provides a powerful tool to study the interplay between different cellular processes.
AB - The study of gene and protein interaction networks has improved our understanding of the multiple, systemic levels of regulation found in eukaryotic and prokaryotic organisms. Here we carry out a large-scale analysis of the protein-protein interaction (PPI) network of fission yeast (Schizosaccharomyces pombe) and establish a method to identify 'linker' proteins that bridge diverse cellular processes - integrating Gene Ontology and PPI data with network theory measures. We test the method on a highly characterized subset of the genome consisting of proteins controlling the cell cycle, cell polarity and cytokinesis and identify proteins likely to play a key role in controlling the temporal changes in the localization of the polarity machinery. Experimental inspection of one such factor, the polarity-regulating RNB protein Sts5, confirms the prediction that it has a cell cycle dependent regulation. Detailed bibliographic inspection of other predicted 'linkers' also confirms the predictive power of the method. As the method is robust to network perturbations and can successfully predict linker proteins, it provides a powerful tool to study the interplay between different cellular processes.
KW - Cell Cycle
KW - Cell Polarity
KW - Computational Biology
KW - Protein Interaction Maps
KW - Reproducibility of Results
KW - Schizosaccharomyces
KW - Schizosaccharomyces pombe Proteins
KW - Signal Transduction
KW - Journal Article
KW - Research Support, Non-U.S. Gov't
U2 - 10.1371/journal.pcbi.1002732
DO - 10.1371/journal.pcbi.1002732
M3 - Article (Academic Journal)
C2 - 23093924
SN - 1553-734X
VL - 8
SP - e1002732
JO - PLoS Computational Biology
JF - PLoS Computational Biology
IS - 10
ER -