Evidence map›Paper›PMID 27264188›Full record

ArticleCell reports2016

Robustness of MEK-ERK Dynamics and Origins of Cell-to-Cell Variability in MAPK Signaling.

Sarah Filippi, Chris P Barnes, Paul D W Kirk, Takamasa Kudo, Katsuyuki Kunida, Siobhan S McMahon, Takaho Tsuchiya, Takumi Wada, Shinya Kuroda, Michael P H Stumpf

Open access · goldAbstract read
In one paragraph

Article in Cell reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
5.2field-weighted citation impact, top 4% 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

28 citing papers in PubMed, 68 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Julia for biologists.Nature methods · 2023
    Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Modeling of cytometry data in logarithmic space: When is a bimodal distribution not bimodal?Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2018
    Article
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

10 authors at 3 institutions in 2 countries.

Sarah FilippiCentre for Integrative Systems Biology and Bioinformatics, Imperial College London, London SW7 2AZ, UK.
Chris P BarnesDepartment of Cell and Developmental Biology, University College London, London WC1E 6BT, UK; Department of Genetics, Evolution and Environment, University College London, London WC1E 6BT, UK.
Paul D W KirkCentre for Integrative Systems Biology and Bioinformatics, Imperial College London, London SW7 2AZ, UK.
Takamasa KudoDepartment of Biological Sciences, Graduate School of Science, University of Tokyo, Tokyo 113-8654, Japan.
Katsuyuki KunidaDepartment of Biological Sciences, Graduate School of Science, University of Tokyo, Tokyo 113-8654, Japan.
Siobhan S McMahonCentre for Integrative Systems Biology and Bioinformatics, Imperial College London, London SW7 2AZ, UK.
Takaho TsuchiyaDepartment of Biological Sciences, Graduate School of Science, University of Tokyo, Tokyo 113-8654, Japan.
Takumi WadaDepartment of Biological Sciences, Graduate School of Science, University of Tokyo, Tokyo 113-8654, Japan.
Shinya KurodaDepartment of Biological Sciences, Graduate School of Science, University of Tokyo, Tokyo 113-8654, Japan; CREST, Japan Science and Technology Agency, Bunkyo-ku, Tokyo 113-0033, Japan.
Michael P H StumpfCentre for Integrative Systems Biology and Bioinformatics, Imperial College London, London SW7 2AZ, UK; Institute of Chemical Biology, Imperial College London, London SW7 2AZ, UK. Electronic address: m.stumpf@imperial.ac.uk.
Tokyo University of Science · JPImperial College London · GBUniversity College London · GB

Funding

Biotechnology and Biological Sciences Research Council BB/C519670/1Biotechnology and Biological Sciences Research Council BB/G007934/1Medical Research Council G1002092Wellcome Trust
6 · The paper itself

Abstract

Cellular signaling processes can exhibit pronounced cell-to-cell variability in genetically identical cells. This affects how individual cells respond differentially to the same environmental stimulus. However, the origins of cell-to-cell variability in cellular signaling systems remain poorly understood. Here, we measure the dynamics of phosphorylated MEK and ERK across cell populations and quantify the levels of population heterogeneity over time using high-throughput image cytometry. We use a statistical modeling framework to show that extrinsic noise, particularly that from upstream MEK, is the dominant factor causing cell-to-cell variability in ERK phosphorylation, rather than stochasticity in the phosphorylation/dephosphorylation of ERK. We furthermore show that without extrinsic noise in the core module, variable (including noisy) signals would be faithfully reproduced downstream, but the within-module extrinsic variability distorts these signals and leads to a drastic reduction in the mutual information between incoming signal and ERK activity.

Indexed as

MAP Kinase Signaling SystemAnimalsExtracellular Signal-Regulated MAP KinasesMitogen-Activated Protein Kinase KinasesModels, BiologicalModels, StatisticalPC12 CellsPhosphorylationRatsTime FactorsExtracellular Signal-Regulated MAP KinasesMitogen-Activated Protein Kinase Kinases

Identifiers

PMID27264188
PMCPMC4914773
OpenAlexW2416675056

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.