Evidence map›Paper›PMID 24966234›Full record

ArticleJournal of the Royal Society, Interface2014

Nonlinear signalling networks and cell-to-cell variability transform external signals into broadly distributed or bimodal responses.

Maciej Dobrzyński, Lan K Nguyen, Marc R Birtwistle, Alexander von Kriegsheim, Alfonso Blanco Fernández, Alex Cheong, Walter Kolch, Boris N Kholodenko

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

17 citing papers in PubMed, 25 citations in OpenAlex.

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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

8 authors at 1 institution in 3 countries.

Maciej DobrzyńskiSystems Biology Ireland, University College Dublin, Belfield, Dublin 4, Ireland maciej.dobrzynski@ucd.ie.ORCID http://orcid.org/0000-0002-0208-7758
Lan K NguyenSystems Biology Ireland, University College Dublin, Belfield, Dublin 4, Ireland.
Marc R BirtwistleSystems Biology Ireland, University College Dublin, Belfield, Dublin 4, Ireland Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA.
Alexander von KriegsheimSystems Biology Ireland, University College Dublin, Belfield, Dublin 4, Ireland.
Alfonso Blanco FernándezFlow Cytometry Core Technologies, Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Belfield, Dublin 4, Ireland.
Alex CheongSystems Biology Ireland, University College Dublin, Belfield, Dublin 4, Ireland School of Life and Health Sciences, Aston University, Birmingham B4 7ET, UK.ORCID http://orcid.org/0000-0003-2482-9078
Walter KolchSystems Biology Ireland, University College Dublin, Belfield, Dublin 4, Ireland Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Belfield, Dublin 4, Ireland School of Medicine and Medical Science, University College Dublin, Belfield, Dublin 4, Ireland.
Boris N KholodenkoSystems Biology Ireland, University College Dublin, Belfield, Dublin 4, Ireland Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Belfield, Dublin 4, Ireland School of Medicine and Medical Science, University College Dublin, Belfield, Dublin 4, Ireland boris.kholodenko@ucd.ie.
University College Dublin · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We show theoretically and experimentally a mechanism behind the emergence of wide or bimodal protein distributions in biochemical networks with nonlinear input-output characteristics (the dose-response curve) and variability in protein abundance. Large cell-to-cell variation in the nonlinear dose-response characteristics can be beneficial to facilitate two distinct groups of response levels as opposed to a graded response. Under the circumstances that we quantify mathematically, the two distinct responses can coexist within a cellular population, leading to the emergence of a bimodal protein distribution. Using flow cytometry, we demonstrate the appearance of wide distributions in the hypoxia-inducible factor-mediated response network in HCT116 cells. With help of our theoretical framework, we perform a novel calculation of the magnitude of cell-to-cell heterogeneity in the dose-response obtained experimentally.

Indexed as

Signal TransductionAlgorithmsAmino Acids, DicarboxylicCell CommunicationGene Expression Regulation, NeoplasticHCT116 CellsHumansHypoxia-Inducible Factor 1, alpha SubunitModels, TheoreticalOxygenProteinsAmino Acids, DicarboxylicHypoxia-Inducible Factor 1, alpha SubunitoxalylglycineOxygenProteinsbimodalitycell heterogeneitydose–responsesignalling networks

Identifiers

PMID24966234
PMCPMC4233687
OpenAlexW2096670394

What OpenQuestion holds

Textmetadata
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.