Evidence map›Paper›PMID 28380352›Full record

ArticleCell reports2017

Cellular Decision Making by Non-Integrative Processing of TLR Inputs.

Ryan A Kellogg, Chengzhe Tian, Martin Etzrodt, Savaş Tay

Open access · goldAbstract 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 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
2.6field-weighted citation impact, top 10% of its field
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

31 citing papers in PubMed, 53 citations in OpenAlex.

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  17. Role of Militarine in PMNeurochemical research · 2021
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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

4 authors at 2 institutions in 3 countries.

Ryan A KelloggDepartment of Biosystems Science and Engineering, ETH Zürich 4058, Switzerland; Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA.
Chengzhe TianNiels Bohr Institute, University of Copenhagen, 2100 Copenhagen, Denmark.
Martin EtzrodtDepartment of Biosystems Science and Engineering, ETH Zürich 4058, Switzerland.
Savaş TayDepartment of Biosystems Science and Engineering, ETH Zürich 4058, Switzerland; Institute for Molecular Engineering, University of Chicago, Chicago, IL 60637, USA; Institute for Genomics and Systems Biology, University of Chicago, Chicago, IL 60637, USA. Electronic address: tays@uchicago.edu.
ETH Zurich · CHUniversity of Copenhagen · DK

Funding

ULTRASTRUCTURE AND CYTOMORPHOLOGY COREP30DK042086 · NIDDK · UNIVERSITY OF CHICAGO · PI LIU, CAMBRIAN YANGSHAO · 1990 to 2025
$29.8M
Understanding dynamical coding by NFkBR01GM117134 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HOFFMANN, ALEXANDER, WOLLMAN, ROY · 2016 to 2019
$2.4M
NIGMS NIH HHS R01 GM117134
6 · The paper itself

Abstract

Cells receive a multitude of signals from the environment, but how they process simultaneous signaling inputs is not well understood. Response to infection, for example, involves parallel activation of multiple Toll-like receptors (TLRs) that converge on the nuclear factor κB (NF-κB) pathway. Although we increasingly understand inflammatory responses for isolated signals, it is not clear how cells process multiple signals that co-occur in physiological settings. We therefore examined a bacterial infection scenario involving co-stimulation of TLR4 and TLR2. Independent stimulation of these receptors induced distinct NF-κB dynamic profiles, although surprisingly, under co-stimulation, single cells continued to show ligand-specific dynamic responses characteristic of TLR2 or TLR4 signaling rather than a mixed response, comprising a cellular decision that we term "non-integrative" processing. Iterating modeling and microfluidic experiments revealed that non-integrative processing occurred through interaction of switch-like NF-κB activation, receptor-specific processing timescales, cell-to-cell variability, and TLR cross-tolerance mediated by multilayer negative feedback.

Indexed as

Cell Communication3T3 CellsAnimalsBacterial InfectionsHumansIntracellular Signaling Peptides and ProteinsLipopeptidesLipopolysaccharidesMiceMicrofluidic Analytical TechniquesMicroRNAsNF-kappa BSignal TransductionTNF Receptor-Associated Factor 6Toll-Like Receptor 2Toll-Like Receptor 4Intracellular Signaling Peptides and ProteinsLipopeptidesLipopolysaccharidesMicroRNAsMIRN146 microRNA, humanNF-kappa BPam(3)CSK(4) peptideTifab protein, humanTNF Receptor-Associated Factor 6Toll-Like Receptor 2Toll-Like Receptor 4digitaldynamicsimmunityinformation processinglive-cell imagingmicrofluidicssignalingsingle cellsynergytoll-like receptors

Identifiers

PMID28380352
PMCPMC5766323
OpenAlexW2604482202

What OpenQuestion holds

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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.