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Cell Rep DOI:10.1016/j.celrep.2017.06.016

An Integrative Framework Reveals Signaling-to-Transcription Events in Toll-like Receptor Signaling.

Publication TypeJournal Article
Year of Publication2017
AuthorsMertins, P, Przybylski, D, Yosef, N, Qiao, J, Clauser, K, Raychowdhury, R, Eisenhaure, TM, Maritzen, T, Haucke, V, Satoh, T, Akira, S, Carr, SA, Regev, A, Hacohen, N, Chevrier, N
JournalCell Rep
Volume19
Issue13
Pages2853-2866
Date Published2017 Jun 27
ISSN2211-1247
Abstract

Building an integrated view of cellular responses to environmental cues remains a fundamental challenge due to the complexity of intracellular networks in mammalian cells. Here, we introduce an integrative biochemical and genetic framework to dissect signal transduction events using multiple data types and, in particular, to unify signaling and transcriptional networks. Using the Toll-like receptor (TLR) system as a model cellular response, we generate multifaceted datasets on physical, enzymatic, and functional interactions and integrate these data to reveal biochemical paths that connect TLR4 signaling to transcription. We define the roles of proximal TLR4 kinases, identify and functionally test two dozen candidate regulators, and demonstrate a role for Ap1ar (encoding the Gadkin protein) and its binding partner, Picalm, potentially linking vesicle transport with pro-inflammatory responses. Our study thus demonstrates how deciphering dynamic cellular responses by integrating datasets on various regulatory layers defines key components and higher-order logic underlying signaling-to-transcription pathways.

DOI10.1016/j.celrep.2017.06.016
Pubmed

http://www.ncbi.nlm.nih.gov/pubmed/28658630?dopt=Abstract

Alternate JournalCell Rep
PubMed ID28658630
PubMed Central IDPMC5551420
Grant ListU54 AI057159 / AI / NIAID NIH HHS / United States
DP2 OD002230 / OD / NIH HHS / United States
/ / Howard Hughes Medical Institute / United States
P50 HG006193 / HG / NHGRI NIH HHS / United States
RM1 HG006193 / HG / NHGRI NIH HHS / United States