Cell Reports
Volume 19, Issue 13, 27 June 2017, Pages 2853-2866
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An Integrative Framework Reveals Signaling-to-Transcription Events in Toll-like Receptor Signaling

https://doi.org/10.1016/j.celrep.2017.06.016Get rights and content
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Highlights

  • Temporal analysis of phosphorylation networks in LPS-treated dendritic cells (DCs)

  • AP1AR and its binding partner, PICALM, as pro-inflammatory signaling regulators

  • Biochemical framework to dissect physical, enzymatic, and functional interactions

  • Integrative modeling of signaling-to-transcriptional paths downstream of TLR4

Summary

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.

Keywords

pathogen-sensing pathways
Toll-like receptors
TLRs
phosphoproteomics
protein-protein interactions
large-scale in vitro kinase assay
signaling
transcriptional network analysis

Cited by (0)

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These authors contributed equally

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Present address: FAS Center for Systems Biology, Harvard University, Cambridge, MA 02138, USA

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