Evidence map›Paper›PMID 20847054›Full record

ArticleThe Journal of biological chemistry2010

Systematic quantification of negative feedback mechanisms in the extracellular signal-regulated kinase (ERK) signaling network.

Murat Cirit, Chun-Chao Wang, Jason M Haugh

Open access · hybridAbstract read
In one paragraph

Article in The Journal of biological chemistry, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed
4.5field-weighted citation impact, top 5% 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

58 citing papers in PubMed, 85 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Review
  5. Article
  6. Regulation of the Small GTPase Ras and Its Relevance to Human Disease.Methods in molecular biology (Clifton, N.J.) · 2021
    Review
  7. Signaling Pathways in Proton and Non-proton ASIC1a Activation.Frontiers in cellular neuroscience · 2021
    Article
  8. Article
  9. Article
  10. Evaluation of the profiles of CBBritish journal of pharmacology · 2020
    Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Optochemical Control of Biological Processes in Cells and Animals.Angewandte Chemie (International ed. in English) · 2018
    Review
  17. Article
  18. Article
  19. Mechanisms and causality in molecular diseases.History and philosophy of the life sciences · 2017
    Review
  20. 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

3 authors at 1 institution in 1 country.

Murat CiritDepartment of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, North Carolina 27695, USA.
Chun-Chao Wang
Jason M Haugh
North Carolina State University · US

Funding

Dynamic Regulation of Growth Factor Signaling NetworksR01GM088987 · NIGMS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI HAUGH, JASON M. · 2010 to 2013
$1.1M
NIGMS NIH HHS GM088987NIGMS NIH HHS R01 GM088987
6 · The paper itself

Abstract

Cell responses are actuated by tightly controlled signal transduction pathways. Although the concept of an integrated signaling network replete with interpathway cross-talk and feedback regulation is broadly appreciated, kinetic data of the type needed to characterize such interactions in conjunction with mathematical models are lacking. In mammalian cells, the Ras/ERK pathway controls cell proliferation and other responses stimulated by growth factors, and several cross-talk and feedback mechanisms affecting its activation have been identified. In this work, we take a systematic approach to parse the magnitudes of multiple regulatory mechanisms that attenuate ERK activation through canonical (Ras-dependent) and non-canonical (PI3K-dependent) pathways. In addition to regulation of receptor and ligand levels, we consider three layers of ERK-dependent feedback: desensitization of Ras activation, negative regulation of MEK kinase (e.g. Raf) activities, and up-regulation of dual-specificity ERK phosphatases. Our results establish the second of these as the dominant mode of ERK self-regulation in mouse fibroblasts. We further demonstrate that kinetic models of signaling networks, trained on a sufficient diversity of quantitative data, can be reasonably comprehensive, accurate, and predictive in the dynamical sense.

Indexed as

Feedback, PhysiologicalSignal TransductionAnimalsExtracellular Signal-Regulated MAP KinasesHumansImmunoblottingKineticsMiceMitogen-Activated Protein KinasesNIH 3T3 CellsPhosphorylationras ProteinsExtracellular Signal-Regulated MAP KinasesMitogen-Activated Protein Kinasesras Proteins

Identifiers

PMID20847054
PMCPMC2978602
OpenAlexW2019686202

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.