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

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 comprehensive datasets of 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.

INSTRUMENT(S): LTQ Orbitrap Velos, Q Exactive

ORGANISM(S): Mus Musculus (ncbitaxon:10090)

SUBMITTER: Steven A. Carr

PROVIDER: MSV000081071 | MassIVE | Wed May 10 12:29:00 BST 2017

REPOSITORIES: MassIVE

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

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