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Yin and Yang of disease genes and death genes between reciprocally scale-free biological networks

논문 작성자
Hyun Wook Han, Jung Hun Ohn, Jisook Moon, and Ju Han Kim
논문 게재지
Nucleic Acids Res, doi: 10.1093/nar/gkt683
논문 게재년
2013
논문 게재월
이미지
http://nar.oxfordjournals.org/content/41/15.cover.gif

Yin and Yang of disease genes and death genes between reciprocally scale-free biological networks

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Hyun Wook Han, Jung Hun Ohn, Jisook Moon, and Ju Han Kim

 

Nucleic Acids Research,  doi: 10.1093/nar/gkt683

 

 

ABSTRACT

 

Biological networks often show a scale-free topology with node degree following a power-law distribution. Lethal genes tend to form functional hubs, whereas non-lethal disease genes are located at the periphery. Uni-dimensional analyses, however, are flawed. We created and investigated two distinct scale-free networks; a protein?protein interaction (PPI) and a perturbation sensitivity network (PSN). The hubs of both networks exhibit a low molecular evolutionary rate (P < 8 10?12, P < 2 10?4) and a high codon adaptation index (P < 2 10?16, P < 2 10?8), indicating that both hubs have been shaped under high evolutionary selective pressure. Moreover, the topologies of PPI and PSN are inversely proportional: hubs of PPI tend to be located at the periphery of PSN and vice versa. PPI hubs are highly enriched with lethal genes but not with disease genes, whereas PSN hubs are highly enriched with disease genes and drug targets but not with lethal genes. PPI hub genes are enriched with essential cellular processes, but PSN hub genes are enriched with environmental interaction processes, having more TATA boxes and transcription factor binding sites. It is concluded that biological systems may balance internal growth signaling and external stress signaling by unifying the two opposite scale-free networks that are seemingly opposite to each other but work in concert between death and disease.

 

Keywords: ferritin;mercury;hypertension;Koreans

 

 

- PubMed ID: 23935122

- Fulltext Link: http://nar.oxfordjournals.org/content/early/2013/08/09/nar.gkt683.long