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Functional Annotation of Rheumatoid Arthritis and Osteoarthritis Associated Genes by Integrative Genome-Wide Gene Expression Profiling Analysis
Author(s) -
Zhanchun Li,
Jie Xiao,
Jinliang Peng,
Jianwei Chen,
Tao Ma,
Guangqi Cheng,
Yuqi Dong,
Weili Wang,
Zude Liu
Publication year - 2014
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0085784
Subject(s) - gene expression profiling , rheumatoid arthritis , disease , gene , osteoarthritis , arthritis , bioinformatics , biology , medicine , autophagy , computational biology , gene expression , genetics , immunology , pathology , apoptosis , alternative medicine
Background Rheumatoid arthritis (RA) and osteoarthritis (OA) are two major types of joint diseases that share multiple common symptoms. However, their pathological mechanism remains largely unknown. The aim of our study is to identify RA and OA related-genes and gain an insight into the underlying genetic basis of these diseases. Methods We collected 11 whole genome-wide expression profiling datasets from RA and OA cohorts and performed a meta-analysis to comprehensively investigate their expression signatures. This method can avoid some pitfalls of single dataset analyses. Results and Conclusion We found that several biological pathways ( i.e., the immunity, inflammation and apoptosis related pathways) are commonly involved in the development of both RA and OA. Whereas several other pathways ( i.e., vasopressin-related pathway, regulation of autophagy, endocytosis, calcium transport and endoplasmic reticulum stress related pathways) present significant difference between RA and OA. This study provides novel insights into the molecular mechanisms underlying this disease, thereby aiding the diagnosis and treatment of the disease.

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