Abstract:
: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.
journal_name
Biochem Biophys Res Communjournal_title
Biochemical and biophysical research communicationsauthors
Song Z,Zhang C,He L,Sui Y,Lin X,Pan Jdoi
10.1016/j.bbrc.2018.04.189subject
Has Abstractpub_date
2018-06-12 00:00:00pages
902-906issue
4eissn
0006-291Xissn
1090-2104pii
S0006-291X(18)30986-0journal_volume
500pub_type
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