| RRC ID |
33036
|
| 著者 |
Vinayagam A, Zirin J, Roesel C, Hu Y, Yilmazel B, Samsonova AA, Neumüller RA, Mohr SE, Perrimon N.
|
| タイトル |
Integrating protein-protein interaction networks with phenotypes reveals signs of interactions.
|
| ジャーナル |
Nat Methods
|
| Abstract |
A major objective of systems biology is to organize molecular interactions as networks and to characterize information flow within networks. We describe a computational framework to integrate protein-protein interaction (PPI) networks and genetic screens to predict the 'signs' of interactions (i.e., activation-inhibition relationships). We constructed a Drosophila melanogaster signed PPI network consisting of 6,125 signed PPIs connecting 3,352 proteins that can be used to identify positive and negative regulators of signaling pathways and protein complexes. We identified an unexpected role for the metabolic enzymes enolase and aldo-keto reductase as positive and negative regulators of proteolysis, respectively. Characterization of the activation-inhibition relationships between physically interacting proteins within signaling pathways will affect our understanding of many biological functions, including signal transduction and mechanisms of disease.
|
| 巻・号 |
11(1)
|
| ページ |
94-9
|
| 公開日 |
2014-1-1
|
| DOI |
10.1038/nmeth.2733
|
| PII |
nmeth.2733
|
| PMID |
24240319
|
| PMC |
PMC3877743
|
| MeSH |
Alcohol Oxidoreductases / metabolism
Aldehyde Reductase
Aldo-Keto Reductases
Animals
Computational Biology / methods
Drosophila melanogaster / genetics
Drosophila melanogaster / metabolism*
Gene Expression Regulation
Phenotype
Proteasome Endopeptidase Complex / chemistry
Protein Interaction Mapping*
Protein Interaction Maps
Proteins / metabolism
RNA Interference
RNA, Double-Stranded / metabolism
Signal Transduction
Systems Biology / methods
|
| IF |
30.822
|
| 引用数 |
76
|
|
WOS 分野
|
BIOCHEMICAL RESEARCH METHODS
|
| リソース情報 |
| ショウジョウバエ |
17655R-1
17654R-2
32101R-2
32101R-3 |
