Evidence map›Paper›PMID 22528856›Full record

ArticleBioEssays : news and reviews in molecular, cellular and developmental biology2012

Short-term information processing, long-term responses: Insights by mathematical modeling of signal transduction. Early activation dynamics of key signaling mediators can be predictive for cell fate decisions.

Annette Schneider, Ursula Klingmüller, Marcel Schilling

Abstract read
In one paragraph

Article in BioEssays : news and reviews in molecular, cellular and developmental biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. DRUG-NEM: Optimizing drug combinations using single-cell perturbation response to account for intratumoral heterogeneity.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  4. Article
  5. Article
  6. Role of kidney biomarkers of chronic kidney disease: An update.Saudi journal of biological sciences · 2014
    Review
  7. Article
  8. Cell regulation: a time to signal, a time to respond.BioEssays : news and reviews in molecular, cellular and developmental biology · 2012
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Annette SchneiderDivision Systems Biology of Signal Transduction, DKFZ-ZMBH Alliance, German Cancer Research Center, Heidelberg, Germany.
Ursula Klingmüller
Marcel Schilling

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

How do cells interpret information from their environment and translate it into specific cell fate decisions? We propose that cell fate is already encoded in early signaling events and thus can be predicted from defined signal properties. Specifically, we hypothesize that the time integral of activated key signaling molecules can be correlated to cellular behavior such as proliferation or differentiation. The identification of these decisive key signal mediators and their connection to cell fate is facilitated by mathematical modeling. A possible mechanistic linkage between signaling dynamics and cellular function is the directed control of gene regulatory networks by defined signals. Targeted experiments in combination with mathematical modeling can increase our understanding of how cells process information and realize distinct cell fates.

Indexed as

Cell CommunicationGene Regulatory NetworksModels, TheoreticalSignal TransductionAnimalsApoptosisCell DifferentiationCell ProliferationCell SurvivalEnzyme ActivationExtracellular Signal-Regulated MAP KinasesHumansReceptors, Cell SurfaceTranscription FactorsTranscription, GeneticExtracellular Signal-Regulated MAP KinasesReceptors, Cell SurfaceTranscription Factors

Identifiers

PMID22528856
PMCPMC3440590

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.