A Network Map of FGF-1/FGFR Signaling System.
Rajesh RajuShyam Mohan PalapettaVarot K SandhyaApeksha SahuAbbas AlipoorLavanya BalakrishnanJayshree AdvaniBijesh GeorgeK Ramachandra KiniN P GeethaH S PrakashT S Keshava PrasadYu-Jung ChangLinyi ChenAkhilesh PandeyHarsha GowdaPublished in: Journal of signal transduction (2014)
Fibroblast growth factor-1 (FGF-1) is a well characterized growth factor among the 22 members of the FGF superfamily in humans. It binds to all the four known FGF receptors and regulates a plethora of functions including cell growth, proliferation, migration, differentiation, and survival in different cell types. FGF-1 is involved in the regulation of diverse physiological processes such as development, angiogenesis, wound healing, adipogenesis, and neurogenesis. Deregulation of FGF-1 signaling is not only implicated in tumorigenesis but also is associated with tumor invasion and metastasis. Given the biomedical significance of FGFs and the fact that individual FGFs have different roles in diverse physiological processes, the analysis of signaling pathways induced by the binding of specific FGFs to their cognate receptors demands more focused efforts. Currently, there are no resources in the public domain that facilitate the analysis of signaling pathways induced by individual FGFs in the FGF/FGFR signaling system. Towards this, we have developed a resource of signaling reactions triggered by FGF-1/FGFR system in various cell types/tissues. The pathway data and the reaction map are made available for download in different community standard data exchange formats through NetPath and NetSlim signaling pathway resources.
Keyphrases
- signaling pathway
- growth factor
- healthcare
- single cell
- wound healing
- pi k akt
- mental health
- epithelial mesenchymal transition
- stem cells
- gene expression
- induced apoptosis
- big data
- electronic health record
- cell proliferation
- heat stress
- bone marrow
- quality improvement
- insulin resistance
- machine learning
- cell therapy
- data analysis
- heat shock
- deep learning
- vascular endothelial growth factor
- oxidative stress
- subarachnoid hemorrhage
- neural stem cells