Uncovering transcription factor and microRNA risk regulatory pathways associated with osteoarthritis by network analysis.

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.

authors

Song Z,Zhang C,He L,Sui Y,Lin X,Pan J

doi

10.1016/j.bbrc.2018.04.189

subject

Has Abstract

pub_date

2018-06-12 00:00:00

pages

902-906

issue

4

eissn

0006-291X

issn

1090-2104

pii

S0006-291X(18)30986-0

journal_volume

500

pub_type

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