Systematic differences in signal emitting and receiving revealed by PageRank analysis of a human protein interactome.
Systematic differences in signal emitting and receiving revealed by PageRank analysis of a human protein interactome.
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人类蛋白质相互作用组的Pagerank分析揭示了信号发出和接收的系统差异。
DOI:
10.1371/journal.pone.0044872
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发表时间:
2012
期刊:
影响因子:
3.7
通讯作者:
Li XQ
中科院分区:
文献类型:
--
作者:
Du D;Lee CF;Li XQ
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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影响因子:
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通讯作者:
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通讯作者:
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影响因子:
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作者:
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通讯作者:
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