From Saccharomyces cerevisiae to human: The important gene co‑expression modules

Liu,Wei; Li,Li; Ye,Hua; Chen,Haiwei; Shen,Weibiao; Zhong,Yuexian; Tian,Tian; He,Huaqin

doi:10.3892/br.2017.941

From Saccharomyces cerevisiae to human: The important gene co‑expression modules

Authors:
- Wei Liu
- Li Li
- Hua Ye
- Haiwei Chen
- Weibiao Shen
- Yuexian Zhong
- Tian Tian
- Huaqin He
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Affiliations: School of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, P.R. China, Institute of Health Service and Medical Information, Academy of Military Medical Sciences, Beijing 100850, P.R. China, Department of Gastroenterology, Ningbo Medical Center, Lihuili Hospital, Ningbo, Zhejiang 315040, P.R. China, Department of Cardiology, First Affiliated Hospital of General Hospital of PLA, Beijing 100048, P.R. China
Published online on: July 6, 2017 https://doi.org/10.3892/br.2017.941
Pages: 153-158

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Abstract

Network‑based systems biology has become an important method for analyzing high‑throughput gene expression data and gene function mining. Yeast has long been a popular model organism for biomedical research. In the current study, a weighted gene co‑expression network analysis algorithm was applied to construct a gene co‑expression network in Saccharomyces cerevisiae. Seventeen stable gene co‑expression modules were detected from 2,814 S. cerevisiae microarray data. Further characterization of these modules with the Database for Annotation, Visualization and Integrated Discovery tool indicated that these modules were associated with certain biological processes, such as heat response, cell cycle, translational regulation, mitochondrion oxidative phosphorylation, amino acid metabolism and autophagy. Hub genes were also screened by intra‑modular connectivity. Finally, the module conservation was evaluated in a human disease microarray dataset. Functional modules were identified in budding yeast, some of which are associated with patient survival. The current study provided a paradigm for single cell microorganisms and potentially other organisms.

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