Evidence map›Paper›PMID 29371237›Full record

ArticleMolecular systems biology2018

Cell-specific responses to the cytokine TGFβ are determined by variability in protein levels.

Jette Strasen, Uddipan Sarma, Marcel Jentsch, Stefan Bohn, Caibin Sheng, Daniel Horbelt, Petra Knaus, Stefan Legewie, Alexander Loewer

Open access · goldAbstract readComparative Study
In one paragraph

Article in Molecular systems biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
3.4field-weighted citation impact, top 6% 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

39 citing papers in PubMed, 66 citations in OpenAlex.

  1. Article
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  5. Systems Biology of the Cancer Cell.Annual review of biomedical engineering · 2025
    Review
  6. Article
  7. Article
  8. RTF: an R package for modelling time course data.Bioinformatics (Oxford, England) · 2024
    Article
  9. Review
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  15. State- and stimulus-specific dynamics of SMAD signaling determine fate decisions in individual cells.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  16. Article
  17. Review
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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

9 authors at 3 institutions in 1 country.

Jette StrasenBerlin Institute for Medical Systems Biology, Max Delbrueck Center in the Helmholtz Association, Berlin, Germany.
Uddipan SarmaInstitute of Molecular Biology (IMB), Mainz, Germany.
Marcel JentschBerlin Institute for Medical Systems Biology, Max Delbrueck Center in the Helmholtz Association, Berlin, Germany.
Stefan BohnDepartment of Biology, Technische Universität Darmstadt, Darmstadt, Germany.
Caibin ShengBerlin Institute for Medical Systems Biology, Max Delbrueck Center in the Helmholtz Association, Berlin, Germany.
Daniel HorbeltInstitute for Chemistry and Biochemistry, Freie Universität Berlin, Berlin, Germany.
Petra KnausInstitute for Chemistry and Biochemistry, Freie Universität Berlin, Berlin, Germany.
Stefan LegewieInstitute of Molecular Biology (IMB), Mainz, Germany s.legewie@imb-mainz.de loewer@bio.tu-darmstadt.de.ORCID 0000-0003-4111-0567
Alexander LoewerBerlin Institute for Medical Systems Biology, Max Delbrueck Center in the Helmholtz Association, Berlin, Germany s.legewie@imb-mainz.de loewer@bio.tu-darmstadt.de.ORCID 0000-0002-8819-3040
Technische Universität Darmstadt · DEFreie Universität Berlin · DEInstitute of Molecular Biology · DE

Funding

Systems analysis of TGFbeta signaling and SnoN function in liverR01DK090347 · NIDDK · UNIVERSITY OF CALIFORNIA BERKELEY · PI KLINGMUELLER, URSULA, LUO, KUNXIN · 2011 to 2014
$1.2M
NIDDK NIH HHS R01 DK090347
6 · The paper itself

Abstract

The cytokine TGFβ provides important information during embryonic development, adult tissue homeostasis, and regeneration. Alterations in the cellular response to TGFβ are involved in severe human diseases. To understand how cells encode the extracellular input and transmit its information to elicit appropriate responses, we acquired quantitative time-resolved measurements of pathway activation at the single-cell level. We established dynamic time warping to quantitatively compare signaling dynamics of thousands of individual cells and described heterogeneous single-cell responses by mathematical modeling. Our combined experimental and theoretical study revealed that the response to a given dose of TGFβ is determined cell specifically by the levels of defined signaling proteins. This heterogeneity in signaling protein expression leads to decomposition of cells into classes with qualitatively distinct signaling dynamics and phenotypic outcome. Negative feedback regulators promote heterogeneous signaling, as a SMAD7 knock-out specifically affected the signal duration in a subpopulation of cells. Taken together, we propose a quantitative framework that allows predicting and testing sources of cellular signaling heterogeneity.

Indexed as

Cell LineCell NucleusHumansModels, TheoreticalOrgan SpecificitySignal TransductionSingle-Cell AnalysisSmad2 ProteinSmad4 ProteinSystems BiologyTransforming Growth Factor betaSmad2 ProteinSMAD2 protein, humanSmad4 ProteinSMAD4 protein, humanTransforming Growth Factor betacellular heterogeneitymathematical modelingsignaling dynamicssingle‐cell analysisTGFβ‐SMAD signaling

Identifiers

PMID29371237
PMCPMC5787704
OpenAlexW2784772328

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.