z-logo
open-access-imgOpen Access
Coexpression within Integrated Mitochondrial Pathways Reveals Different Networks in Normal and Chemically Treated Transcriptomes
Author(s) -
Cong Chen,
Tae Kyung Hyun,
Xiao Han,
Zhihui Feng,
Yuan Li,
Xiaolong Liu,
Jiankang Liu
Publication year - 2014
Publication title -
international journal of genomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.705
H-Index - 24
eISSN - 2314-4378
pISSN - 2314-436X
DOI - 10.1155/2014/452891
Subject(s) - biology , mitochondrial biogenesis , transcriptome , gene , mitochondrion , function (biology) , microarray analysis techniques , computational biology , microarray , mitochondrial respiratory chain , genetics , gene regulatory network , gene expression , microbiology and biotechnology
As energy producers, mitochondria play a pivotal role in multiple cellular processes. Although several lines of evidence suggest that differential expression of mitochondrial respiratory complexes (MRCs) has a significant impact on mitochondrial function, the role of integrated MRCs in the whole coexpression network has yet to be revealed. In this study, we construct coexpression networks based on microarray datasets from different tissues and chemical treatments to explore the role of integrated MRCs in the coexpression network and the effects of different chemicals on the mitochondrial network. By grouping MRCs as one seed target, the hypergeometric distribution allowed us to identify genes that are significantly coexpress with whole MRCs. Coexpression among 46 MRC genes (approximately 78% of MRC genes tested) was significant in the normal tissue transcriptome dataset. These MRC genes are coexpressed with genes involved in the categories “muscle system process,” “metabolic process,” and “neurodegenerative disease pathways,” whereas, in the chemically treated tissues, coexpression of these genes mostly disappeared. These results indicate that chemical stimuli alter the normal coexpression network of MRC genes. Taken together, the datasets obtained from the different coexpression networks are informative about mitochondrial biogenesis and should contribute to understanding the side effects of drugs on mitochondrial function.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom