Uncovering transcription factor and microRNA risk regulatory pathways associated with osteoarthritis by network analysis
| Autor: | He Lingxiao, Song Zhenhua, Sui Yanfang, Lin Xiafei, Jingjing Pan, Chi Zhang |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
0301 basic medicine
Myeloid T cell Biophysics Regulator Computational biology Biology Lymphocyte Activation Biochemistry 03 medical and health sciences 0302 clinical medicine Immune system Transcription (biology) microRNA Databases Genetic Osteoarthritis Protein Interaction Mapping medicine Humans Gene Regulatory Networks Myeloid Cells Leukocyte Differentiation Lymphocytes Molecular Biology Transcription factor 030203 arthritis & rheumatology Gene Expression Profiling Synovial Membrane Cell Differentiation Cell Biology MicroRNAs 030104 developmental biology medicine.anatomical_structure Gene Expression Regulation Disease Progression Signal Transduction Transcription Factors |
| Zdroj: | Biochemical and biophysical research communications. 500(4) |
| ISSN: | 1090-2104 |
| Popis: | Osteoarthritis (OA) is the most common form of joint disease. The development of inflammation have been considered to play a key role during the progression of OA. Regulatory pathways are known to play crucial roles in many pathogenic processes. Thus, deciphering these risk regulatory pathways is critical for elucidating the mechanisms underlying OA. We constructed an OA-specific regulatory network by integrating comprehensive curated transcription and post-transcriptional resource involving transcription factor (TF) and microRNA (miRNA). To deepen our understanding of underlying molecular mechanisms of OA, we developed an integrated systems approach to identify OA-specific risk regulatory pathways. In this study, we identified 89 significantly differentially expressed genes between normal and inflamed areas of OA patients. We found the OA-specific regulatory network was a standard scale-free network with small-world properties. It significant enriched many immune response-related functions including leukocyte differentiation, myeloid differentiation and T cell activation. Finally, 141 risk regulatory pathways were identified based on OA-specific regulatory network, which contains some known regulator of OA. The risk regulatory pathways may provide clues for the etiology of OA and be a potential resource for the discovery of novel OA-associated disease genes. |
| Databáze: | OpenAIRE |
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