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Investigating the Combinatory Effects of Biological Networks on Gene Co-expression

C. Zhang ; S. Lee ; Adil Mardinoglu (Institutionen för biologi och bioteknik, Systembiologi) ; Q. Hua
Frontiers in Physiology (1664-042X). Vol. 7 (2016),
[Artikel, refereegranskad vetenskaplig]

Co-expressed genes often share similar functions, and gene co-expression networks have been widely used in studying the functionality of gene modules. Previous analysis indicated that genes are more likely to be co-expressed if they are either regulated by the same transcription factors, forming protein complexes or sharing similar topological properties in protein-protein interaction networks. Here, we reconstructed transcriptional regulatory and protein-protein networks for Saccharornyces cerevisiae using well-established databases, and we evaluated their co-expression activities using publically available gene expression data. Based on our network-dependent analysis, we found that genes that were co-regulated in the transcription regulatory networks and shared similar neighbors in the protein-protein networks were more likely to be co-expressed. Moreover, their biological functions were closely related.

Nyckelord: Saccharomyces cerevisiae, co-expression, co-regulation, transcriptional regulatory network, protein

Denna post skapades 2016-05-27. Senast ändrad 2016-05-30.
CPL Pubid: 236996


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Institutioner (Chalmers)

Institutionen för biologi och bioteknik, Systembiologi


Bioinformatik och systembiologi

Chalmers infrastruktur