A Bioinformatics Resource for TWEAK-Fn14 Signaling Pathway.
Mitali BhattacharjeeRajesh RajuAneesha RadhakrishnanVishalakshi NanjappaBabylakshmi MuthusamyKamlendra SinghDheebika KuppusamyBhavya Teja LingalaArchana PanPremendu Prakash MathurH C HarshaT S Keshava PrasadGerald J AtkinsAkhilesh PandeyAditi ChatterjeePublished in: Journal of signal transduction (2012)
TNF-related weak inducer of apoptosis (TWEAK) is a new member of the TNF superfamily. It signals through TNFRSF12A, commonly known as Fn14. The TWEAK-Fn14 interaction regulates cellular activities including proliferation, migration, differentiation, apoptosis, angiogenesis, tissue remodeling and inflammation. Although TWEAK has been reported to be associated with autoimmune diseases, cancers, stroke, and kidney-related disorders, the downstream molecular events of TWEAK-Fn14 signaling are yet not available in any signaling pathway repository. In this paper, we manually compiled from the literature, in particular those reported in human systems, the downstream reactions stimulated by TWEAK-Fn14 interactions. Our manual amassment of the TWEAK-Fn14 pathway has resulted in cataloging of 46 proteins involved in various biochemical reactions and TWEAK-Fn14 induced expression of 28 genes. We have enabled the availability of data in various standard exchange formats from NetPath, a repository for signaling pathways. We believe that this composite molecular interaction pathway will enable identification of new signaling components in TWEAK signaling pathway. This in turn may lead to the identification of potential therapeutic targets in TWEAK-associated disorders.
Keyphrases
- signaling pathway
- pi k akt
- oxidative stress
- endothelial cells
- epithelial mesenchymal transition
- systematic review
- cell cycle arrest
- endoplasmic reticulum stress
- machine learning
- atrial fibrillation
- young adults
- gene expression
- genome wide
- diabetic rats
- bioinformatics analysis
- subarachnoid hemorrhage
- vascular endothelial growth factor
- climate change
- stress induced
- deep learning