MK2 Phosphorylates RIPK1 to Prevent TNF-Induced Cell Death

Isabel Jaco(Institute of Cancer Research), Alessandro Annibaldi(Institute of Cancer Research), Najoua Lalaoui(The University of Melbourne), Rebecca Wilson(Institute of Cancer Research), Tencho Tenev(Institute of Cancer Research), Lucie Laurien(University of Cologne), Chun Kim(University of Cologne), Kunzah Jamal(Institute of Cancer Research), Sidonie Wicky John(Institute of Cancer Research), Gianmaria Liccardi(Institute of Cancer Research), Diep Chau(The University of Melbourne), James M. Murphy(The University of Melbourne), Gabriela Brumatti(The University of Melbourne), Rebecca Feltham(Institute of Cancer Research), Manolis Pasparakis(University of Cologne), John Silke(The University of Melbourne), Pascal Meier(Institute of Cancer Research)
Molecular Cell
May 11, 2017
Cited by 323Open Access
Full Text

Abstract

TNF is an inflammatory cytokine that upon binding to its receptor, TNFR1, can drive cytokine production, cell survival, or cell death. TNFR1 stimulation causes activation of NF-κB, p38α, and its downstream effector kinase MK2, thereby promoting transcription, mRNA stabilization, and translation of target genes. Here we show that TNF-induced activation of MK2 results in global RIPK1 phosphorylation. MK2 directly phosphorylates RIPK1 at residue S321, which inhibits its ability to bind FADD/caspase-8 and induce RIPK1-kinase-dependent apoptosis and necroptosis. Consistently, a phospho-mimetic S321D RIPK1 mutation limits TNF-induced death. Mechanistically, we find that phosphorylation of S321 inhibits RIPK1 kinase activation. We further show that cytosolic RIPK1 contributes to complex-II-mediated cell death, independent of its recruitment to complex-I, suggesting that complex-II originates from both RIPK1 in complex-I and cytosolic RIPK1. Thus, MK2-mediated phosphorylation of RIPK1 serves as a checkpoint within the TNF signaling pathway that integrates cell survival and cytokine production.


Related Papers

No related papers found

Powered by citation graph analysis