ArticlePloS one2012
Systematic differences in signal emitting and receiving revealed by PageRank analysis of a human protein interactome.
Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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Who cites it
7 citing papers in PubMed.
- Aberration hubs in protein interaction networks highlight actionable targets in cancer.Oncotarget · 2018Article
- Network propagation: a universal amplifier of genetic associations.Nature reviews. Genetics · 2017Review
- Genome-Wide Identification and Function Analyses of Heat Shock Transcription Factors in Potato.Frontiers in plant science · 2016Article
- Motif types, motif locations and base composition patterns around the RNA polyadenylation site in microorganisms, plants and animals.BMC evolutionary biology · 2014Article
- New directions for diffusion-based network prediction of protein function: incorporating pathways with confidence.Bioinformatics (Oxford, England) · 2014Article
- Article
- Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive review.Pharmacology & therapeutics · 2013Review
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Most protein PageRank studies do not use signal flow direction information in protein interactions because this information was not readily available in large protein databases until recently. Therefore, four questions have yet to be answered: A) What is the general difference between signal emitting and receiving in a protein interactome? B) Which proteins are among the top ranked in directional ranking? C) Are high ranked proteins more evolutionarily conserved than low ranked ones? D) Do proteins with similar ranking tend to have similar subcellular locations? In this study, we address these questions using the forward, reverse, and non-directional PageRank approaches to rank an information-directional network of human proteins and study their evolutionary conservation. The forward ranking gives credit to information receivers, reverse ranking to information emitters, and non-directional ranking mainly to the number of interactions. The protein lists generated by the forward and non-directional rankings are highly correlated, but those by the reverse and non-directional rankings are not. The results suggest that the signal emitting/receiving system is characterized by key-emittings and relatively even receivings in the human protein interactome. Signaling pathway proteins are frequent in top ranked ones. Eight proteins are both informational top emitters and top receivers. Top ranked proteins, except a few species-related novel-function ones, are evolutionarily well conserved. Protein-subunit ranking position reflects subunit function. These results demonstrate the usefulness of different PageRank approaches in characterizing protein networks and provide insights to protein interaction in the cell.
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