Open AccessAn integrated signal transduction network of macrophage migration inhibitory factor
Author(s) -
Subbannayya Tejaswini,
Variar Prathyaksha,
Advani Jayshree,
Nair Bipin,
Shankar Subramanian,
Gowda Harsha,
Saussez Sven,
Chatterjee Aditi,
Prasad T. S. Keshava
Publication year - 2016
Publication title -
journal of cell communication and signaling
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.329
H-Index - 44
eISSN - 1873-961X
pISSN - 1873-9601
DOI - 10.1007/s12079-016-0326-x
Subject(s) - macrophage migration inhibitory factor , signal transduction , cd74 , cell signaling , suppressor of cytokine signalling , microbiology and biotechnology , biology , hes3 signaling axis , cytokine , receptor , major histocompatibility complex , immunology , socs3 , immune system , mhc class i , notch signaling pathway , biochemistry , stat3
Macrophage migration inhibitory factor (MIF) is a glycosylated multi‐functional protein that acts as an enzyme as well as a cytokine. MIF mediates its actions through a cell surface class II major histocompatibility chaperone, CD74 and co‐receptors such as CD44, CXCR2, CXCR4 or CXCR7. MIF has been implicated in the pathogenesis of several acute and chronic inflammatory diseases. Although MIF is a molecule of biomedical importance, a public resource of MIF signaling pathway is currently lacking. In view of this, we carried out detailed data mining and documentation of the signaling events pertaining to MIF from published literature and developed an integrated reaction map of MIF signaling. This resulted in the cataloguing of 68 molecules belonging to MIF signaling pathway, which includes 24 protein‐protein interactions, 44 post‐translational modifications, 11 protein translocation events and 8 activation/inhibition events. In addition, 65 gene regulation events at the mRNA levels induced by MIF signaling have also been catalogued. This signaling pathway has been integrated into NetPath ( http://www.netpath.org ), a freely available human signaling pathway resource developed previously by our group. The MIF pathway data is freely available online in various community standard data exchange formats. We expect that data on signaling events and a detailed signaling map of MIF will provide the scientific community with an improved platform to facilitate further molecular as well as biomedical investigations on MIF.