Evidence map›Paper›PMID 22710166›Full record

ReviewFEBS letters2012

Dynamics of TGF-β/Smad signaling.

Zhike Zi, Douglas A Chapnick, Xuedong Liu

Abstract readReview
In one paragraph

Review in FEBS letters, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 106 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
106citing papers in PubMed, 1 pooled it
–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

106 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  10. Identification and Characterization of the Complete Genome of the TGF-International journal of molecular sciences · 2025
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46 more citing papers are in PubMed but not listed here.

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

3 authors.

Zhike ZiBIOSS Centre for Biological Signalling Studies, University of Freiburg, Freiburg 79104, Germany.
Douglas A Chapnick
Xuedong Liu

Funding

TRAINING IN SIGNAL TRANSDUCTION &CELL CYCLE REGULATIONT32GM008759 · NIGMS · UNIVERSITY OF COLORADO AT BOULDER · PI AHN, NATALIE G. · 2000 to 2020
$5.9M
Predoctoral Training Program in Signaling and Cellular Regulation INCLUDE Down Syndrome SupplementT32GM142607 · NIGMS · UNIVERSITY OF COLORADO · PI Sabrina Leigh Spencer, Tin Tin Su · 2021 to 2026
$3.6M
Mechanisms of p27Kipl Proteolysis in Cancer CellsR01CA107098 · NCI · UNIVERSITY OF COLORADO AT BOULDER · PI LIU, XUEDONG · 2004 to 2012
$2.7M
Quantitative Analysis of TGF-b/Smad Signaling DynamicsR01GM083172 · NIGMS · UNIVERSITY OF COLORADO · PI LIU, XUEDONG · 2008 to 2011
$1.0M
NCI NIH HHS R01 CA107098NCI NIH HHS R01CA107098NIGMS NIH HHS R01 GM083172NIGMS NIH HHS R01GM083172NIGMS NIH HHS T32 GM008759NIGMS NIH HHS T32 GM142607
6 · The paper itself

Abstract

The physiological responses to TGF-β stimulation are diverse and vary amongst different cell types and environmental conditions. Even though the principal molecular components of the canonical and the non-canonical TGF-β signaling pathways have been largely identified, the mechanism that underlies the well-established context dependent physiological responses remains a mystery. Understanding how the components of TGF-β signaling function as a system and how this system functions in the context of the global cellular regulatory network requires a more quantitative and systematic approach. Here, we review the recent progress in understanding TGF-β biology using integration of mathematical modeling and quantitative experimental analysis. These studies reveal many interesting dynamics of TGF-β signaling and how cells quantitatively decode variable doses of TGF-β stimulation.

Indexed as

Amino Acid MotifsAnimalsCell CommunicationDose-Response Relationship, DrugHumansKineticsMiceModels, BiologicalModels, TheoreticalOscillometrySignal TransductionSmad ProteinsTransforming Growth Factor betaSmad ProteinsTransforming Growth Factor beta

Identifiers

PMID22710166
PMCPMC4127320

What OpenQuestion holds

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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.