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.
journal_name
Cell Repjournal_title
Cell reportsauthors
Mertins 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 Ndoi
10.1016/j.celrep.2017.06.016subject
Has Abstractpub_date
2017-06-27 00:00:00pages
2853-2866issue
13issn
2211-1247pii
S2211-1247(17)30813-6journal_volume
19pub_type
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