Next Article in Journal
Heterologous Production of Flavour and Aroma Compounds in Saccharomyces cerevisiae
Next Article in Special Issue
SEGF: A Novel Method for Gene Fusion Detection from Single-End Next-Generation Sequencing Data
Previous Article in Journal
Role of Inosine–Uracil Base Pairs in the Canonical RNA Duplexes
Previous Article in Special Issue
Identifying Patients with Atrioventricular Septal Defect in Down Syndrome Populations by Using Self-Normalizing Neural Networks and Feature Selection
Article

Weighted Gene Co-Expression Network Analysis Reveals Dysregulation of Mitochondrial Oxidative Phosphorylation in Eating Disorders

by 1,†, 2,†, 3,†, 4, 5,* and 6,*
1
College of Electrical Engineering, Guangxi University, Nanning 530004, Guangxi, China
2
Department of Biostatistics and Epidemiology, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
3
Department of Computer Science, King Abdulaziz University, P.O. Box 80221, Jeddah 21589, Saudi Arabia
4
School of Food Science and Technology, Jiangnan University, Wuxi 214122, Jiangsu, China
5
Department of Computer Science, New Jersey Institute of Technology, Newark, NJ 07102, USA
6
The Center for Applied Genomics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Genes 2018, 9(7), 325; https://doi.org/10.3390/genes9070325
Received: 10 March 2018 / Revised: 16 June 2018 / Accepted: 25 June 2018 / Published: 28 June 2018
(This article belongs to the Special Issue Computational Approaches for Disease Gene Identification)
The underlying mechanisms of eating disorders (EDs) are very complicated and still poorly understood. The pathogenesis of EDs may involve the interplay of multiple genes. To investigate the dysregulated gene pathways in EDs we analyzed gene expression profiling in dorsolateral prefrontal cortex (DLPFC) tissues from 15 EDs cases, including 3 with anorexia nervosa (AN), 7 with bulimia nervosa (BN), 2 AN-BN cases, 3 cases of EDs not otherwise specified, and 102 controls. We further used a weighted gene co-expression network analysis to construct a gene co-expression network and to detect functional modules of highly correlated genes. The functional enrichment analysis of genes in co-expression modules indicated that an altered mitochondrial oxidative phosphorylation process may be involved in the pathogenesis of EDs. View Full-Text
Keywords: eating disorders; weighted gene co-expression network analysis eating disorders; weighted gene co-expression network analysis
Show Figures

Figure 1

MDPI and ACS Style

Yang, L.; Li, Y.; Turki, T.; Tan, H.; Wei, Z.; Chang, X. Weighted Gene Co-Expression Network Analysis Reveals Dysregulation of Mitochondrial Oxidative Phosphorylation in Eating Disorders. Genes 2018, 9, 325. https://doi.org/10.3390/genes9070325

AMA Style

Yang L, Li Y, Turki T, Tan H, Wei Z, Chang X. Weighted Gene Co-Expression Network Analysis Reveals Dysregulation of Mitochondrial Oxidative Phosphorylation in Eating Disorders. Genes. 2018; 9(7):325. https://doi.org/10.3390/genes9070325

Chicago/Turabian Style

Yang, Liulin, Yun Li, Turki Turki, Huizi Tan, Zhi Wei, and Xiao Chang. 2018. "Weighted Gene Co-Expression Network Analysis Reveals Dysregulation of Mitochondrial Oxidative Phosphorylation in Eating Disorders" Genes 9, no. 7: 325. https://doi.org/10.3390/genes9070325

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop