Evidence map›Paper›PMID 20393579›Full record

ArticleMolecular systems biology2010

Short-term memory in gene induction reveals the regulatory principle behind stochastic IL-4 expression.

Luca Mariani, Edda G Schulz, Maria H Lexberg, Caroline Helmstetter, Andreas Radbruch, Max Löhning, Thomas Höfer

Open access · goldAbstract read
In one paragraph

Article in Molecular systems biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
3.6field-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

48 citing papers in PubMed, 86 citations in OpenAlex.

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  12. Stochastic multistationarity in a model of the hematopoietic stem cell differentiation network.Proceedings of the ... IEEE Conference on Decision & Control. IEEE Conference on Decision & Control · 2018
    Article
  13. Nongenetic origins of cell-to-cell variability in B lymphocyte proliferation.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
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  18. Solving Immunology?Trends in immunology · 2017
    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

7 authors at 4 institutions in 1 country.

Luca MarianiResearch Group Modeling of Biological Systems, German Cancer Research Center, Heidelberg, Germany. luca.mariani@ifom-ieo-campus.it
Edda G Schulz
Maria H Lexberg
Caroline Helmstetter
Andreas Radbruch
Max Löhning
Thomas Höfer
Charité - Universitätsmedizin Berlin · DEGerman Rheumatism Research Centre · DEHeidelberg University · DEGerman Cancer Research Center · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although cell-to-cell variability has been recognized as an unavoidable consequence of stochasticity in gene expression, it may also serve a functional role for tuning physiological responses within a cell population. In the immune system, remarkably large variability in the expression of cytokine genes has been observed in homogeneous populations of lymphocytes, but the underlying molecular mechanisms are incompletely understood. Here, we study the interleukin-4 gene (il4) in T-helper lymphocytes, combining mathematical modeling with the experimental quantification of expression variability and critical parameters. We show that a stochastic rate-limiting step upstream of transcription initiation, but acting at the level of an individual allele, controls il4 expression. Only a fraction of cells reaches an active, transcription-competent state in the transient time window determined by antigen stimulation. We support this finding by experimental evidence of a previously unknown short-term memory that was predicted by the model to arise from the long lifetime of the active state. Our analysis shows how a stochastic mechanism acting at the chromatin level can be integrated with transcriptional regulation to quantitatively control cell-to-cell variability.

Indexed as

Gene Expression RegulationTranscriptional ActivationAnimalsChromatinFlow CytometryGATA3 Transcription FactorInterleukin-4MiceModels, GeneticNFATC Transcription FactorsRNA, MessengerStochastic ProcessesTh2 CellsChromatinGATA3 Transcription FactorInterleukin-4Nfatc2 protein, mouseNFATC Transcription FactorsRNA, Messenger

Identifiers

PMID20393579
PMCPMC2872609
OpenAlexW2167586970

What OpenQuestion holds

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LicenceCC BY-NC-SA
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.