Evidence map›Paper›PMID 28658630›Full record

ArticleCell reports2017

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

Philipp Mertins, Dariusz Przybylski, Nir Yosef, Jana Qiao, Karl Clauser, Raktima Raychowdhury, Thomas M Eisenhaure, Tanja Maritzen, Volker Haucke, Takashi Satoh and 5 more

Abstract read
In one paragraph

Article in Cell reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

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  15. Article
  16. Connectivity problems on heterogeneous graphs.Algorithms for molecular biology : AMB · 2019
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Philipp MertinsBroad Institute of MIT and Harvard, 415 Main Street, Cambridge, MA 02142, USA.
Dariusz PrzybylskiBroad Institute of MIT and Harvard, 415 Main Street, Cambridge, MA 02142, USA.
Nir YosefBroad Institute of MIT and Harvard, 415 Main Street, Cambridge, MA 02142, USA; Department of Electrical Engineering and Computer Science and Center for Computational Biology, University of California, Berkeley, Berkeley, CA 94720, USA.
Jana QiaoBroad Institute of MIT and Harvard, 415 Main Street, Cambridge, MA 02142, USA.
Karl ClauserBroad Institute of MIT and Harvard, 415 Main Street, Cambridge, MA 02142, USA.
Raktima RaychowdhuryBroad Institute of MIT and Harvard, 415 Main Street, Cambridge, MA 02142, USA.
Thomas M EisenhaureBroad Institute of MIT and Harvard, 415 Main Street, Cambridge, MA 02142, USA.
Tanja MaritzenMolecular Physiology and Cell Biology Section, Leibniz-Institute for Molecular Pharmacology (FMP), 13125 Berlin, Germany.
Volker HauckeMolecular Physiology and Cell Biology Section, Leibniz-Institute for Molecular Pharmacology (FMP), 13125 Berlin, Germany.
Takashi SatohWPI Immunology Frontier Research Center, Osaka University, 3-1 Yamada-oka, Suita, Osaka 565-0871, Japan.
Shizuo AkiraWPI Immunology Frontier Research Center, Osaka University, 3-1 Yamada-oka, Suita, Osaka 565-0871, Japan.
Steven A CarrBroad Institute of MIT and Harvard, 415 Main Street, Cambridge, MA 02142, USA.
Aviv RegevBroad Institute of MIT and Harvard, 415 Main Street, Cambridge, MA 02142, USA; Howard Hughes Medical Institute, Department of Biology, MIT, Cambridge, MA 02142, USA. Electronic address: aregev@broadinstitute.org.
Nir HacohenBroad Institute of MIT and Harvard, 415 Main Street, Cambridge, MA 02142, USA; Center for Immunology and Inflammatory Diseases and Center for Cancer Research, Massachusetts General Hospital, Charlestown, MA 02129, USA. Electronic address: nhacohen@mgh.harvard.edu.
Nicolas ChevrierBroad Institute of MIT and Harvard, 415 Main Street, Cambridge, MA 02142, USA. Electronic address: chevrier@fas.harvard.edu.

Funding

Treatments for Nipah Virus InfectionU54AI057159 · NIAID · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI KASPER, DENNIS L. · 2003 to 2013
$113.7M
Center for Cell CircuitsP50HG006193 · NHGRI · BROAD INSTITUTE, INC. · PI REGEV, AVIV · 2011 to 2015
$15.6M
Center for Cell CircuitsRM1HG006193 · NHGRI · BROAD INSTITUTE, INC. · PI BLAINEY, PAUL CLARK, HACOHEN, NIR · 2016 to 2020
$14.9M
Revealing pathogen-sensing pathways using RNAi librariesDP2OD002230 · OD · MASSACHUSETTS GENERAL HOSPITAL · PI HACOHEN, NIR · 2007 to 2007
$2.6M
Howard Hughes Medical InstituteNHGRI NIH HHS P50 HG006193NHGRI NIH HHS RM1 HG006193NIAID NIH HHS U54 AI057159NIH HHS DP2 OD002230
6 · The paper itself

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.

Indexed as

Dendritic CellsHumansPhosphorylationSignal TransductionToll-Like ReceptorsToll-Like Receptorslarge-scale in vitro kinase assaypathogen-sensing pathwaysphosphoproteomicsprotein-protein interactionssignalingTLRsToll-like receptorstranscriptional network analysis

Identifiers

PMID28658630
PMCPMC5551420

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.