Evidence map›Paper›PMID 32059766›Full record

ArticleCurrent biology : CB2020

Inference of Multisite Phosphorylation Rate Constants and Their Modulation by Pathogenic Mutations.

Eyan Yeung, Sarah McFann, Lewis Marsh, Emilie Dufresne, Sarah Filippi, Heather A Harrington, Stanislav Y Shvartsman, Martin Wühr

Open access · bronzeAbstract read
In one paragraph

Article in Current biology : CB, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

12 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Evolutionary history of MEK1 illuminates the nature of deleterious mutations.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  6. Article
  7. Algebra, Geometry and Topology of ERK Kinetics.Bulletin of mathematical biology · 2022
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 2 countries.

Eyan YeungLewis-Sigler Institute for Integrative Genomics, Princeton University, Carl Icahn Laboratory, Washington Road, Princeton, NJ 08544, USA; Department of Molecular Biology, Princeton University, Lewis Thomas Laboratory, Washington Road, Princeton, NJ 08544, USA.
Sarah McFannLewis-Sigler Institute for Integrative Genomics, Princeton University, Carl Icahn Laboratory, Washington Road, Princeton, NJ 08544, USA; Department of Chemical and Biological Engineering, Engineering Quad, Princeton University, Princeton, NJ 08544, USA.
Lewis MarshMathematical Institute, University of Oxford, Andrew Wiles Building, Woodstock Road, Oxford OX2 6GG, UK.
Emilie DufresneDepartment of Mathematics, James College, Campus West, University of York, York YO10 5DD, UK.
Sarah FilippiDepartment of Epidemiology and Biostatistics, Imperial College London, Medical School Building, St Mary's Campus, Norfolk Place, London W2 1PG, UK; Department of Mathematics, South Kensington Campus, Imperial College London, London SW7 2AZ, UK.
Heather A HarringtonMathematical Institute, University of Oxford, Andrew Wiles Building, Woodstock Road, Oxford OX2 6GG, UK.
Stanislav Y ShvartsmanLewis-Sigler Institute for Integrative Genomics, Princeton University, Carl Icahn Laboratory, Washington Road, Princeton, NJ 08544, USA; Department of Molecular Biology, Princeton University, Lewis Thomas Laboratory, Washington Road, Princeton, NJ 08544, USA; Flatiron Institute, Simons Foundation, New York, NY 10010, USA. Electronic address: stas@princeton.edu.
Martin WührLewis-Sigler Institute for Integrative Genomics, Princeton University, Carl Icahn Laboratory, Washington Road, Princeton, NJ 08544, USA; Department of Molecular Biology, Princeton University, Lewis Thomas Laboratory, Washington Road, Princeton, NJ 08544, USA. Electronic address: wuhr@princeton.edu.
Princeton University · USUniversity of Oxford · GBImperial College London · GBUniversity of York · GB

Funding

PREDOCTORAL TRAINING PROGRAM IN GENETICST32GM007388 · NIGMS · PRINCETON UNIVERSITY · PI CRISTEA, ILEANA M. · 1985 to 2022
$27.4M
Development of New Proteomics Technology and its Application to Study Cellular OrganizationR35GM128813 · NIGMS · PRINCETON UNIVERSITY · PI Martin Wühr · 2018 to 2026
$4.0M
Systems biology of MAPK signaling in early drosophila embryoR01GM086537 · NIGMS · PRINCETON UNIVERSITY · PI BURDINE, REBECCA D., GOLDSMITH, ELIZABETH J. · 2011 to 2018
$3.1M
NIGMS NIH HHS R01 GM086537NIGMS NIH HHS R35 GM128813NIGMS NIH HHS T32 GM007388
6 · The paper itself

Abstract

Multisite protein phosphorylation plays a critical role in cell regulation [1-3]. It is widely appreciated that the functional capabilities of multisite phosphorylation depend on the order and kinetics of phosphorylation steps, but kinetic aspects of multisite phosphorylation remain poorly understood [4-6]. Here, we focus on what appears to be the simplest scenario, when a protein is phosphorylated on only two sites in a strict, well-defined order. This scenario describes the activation of ERK, a highly conserved cell-signaling enzyme. We use Bayesian parameter inference in a structurally identifiable kinetic model to dissect dual phosphorylation of ERK by MEK, a kinase that is mutated in a large number of human diseases [7-12]. Our results reveal how enzyme processivity and efficiencies of individual phosphorylation steps are altered by pathogenic mutations. The presented approach, which connects specific mutations to kinetic parameters of multisite phosphorylation mechanisms, provides a systematic framework for closing the gap between studies with purified enzymes and their effects in the living organism.

Indexed as

MutationAnimalsCell CycleHumansMitogen-Activated Protein Kinase KinasesModels, BiologicalPhosphorylationRatsMitogen-Activated Protein Kinase KinasesBayesian parameter inferenceERKkinasekinetic parametersMAPK pathwayMEKmultisite protein phosphorylationpathogenic mutationsphosphorylationstructurally identifiable kinetic model

Identifiers

PMID32059766
PMCPMC7085240
OpenAlexW3006206707

What OpenQuestion holds

Textmetadata
LicenceTDM
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.