Evidence map›Paper›PMID 31407663›Full record

ArticleeLife2019

Ancestral reconstruction reveals mechanisms of ERK regulatory evolution.

Dajun Sang, Sudarshan Pinglay, Rafal P Wiewiora, Myvizhi E Selvan, Hua Jane Lou, John D Chodera, Benjamin E Turk, Zeynep H Gümüş, Liam J Holt

Open access · goldAbstract read
In one paragraph

Article in eLife, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

16 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Therapeutic advances of targeting receptor tyrosine kinases in cancer.Signal transduction and targeted therapy · 2024
    Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Saturation mutagenesis of a predicted ancestral Syk-family kinase.Protein science : a publication of the Protein Society · 2022
    Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Ancient MAPK ERK7 is regulated by an unusual inhibitory scaffold required forProceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  14. Article
  15. Review
  16. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 1 country.

Dajun SangInstitute for Systems Genetics, New York University Langone Medical Center, New York, United States.ORCID https://orcid.org/0000-0002-7512-074X
Sudarshan PinglayInstitute for Systems Genetics, New York University Langone Medical Center, New York, United States.ORCID https://orcid.org/0000-0002-8781-1476
Rafal P WiewioraSloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, United States.ORCID http://orcid.org/0000-0002-8961-7183
Myvizhi E SelvanDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, United States.
Hua Jane LouDepartment of Pharmacology, Yale University School of Medicine, New Haven, United States.
John D ChoderaSloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, United States.ORCID http://orcid.org/0000-0003-0542-119X
Benjamin E TurkDepartment of Pharmacology, Yale University School of Medicine, New Haven, United States.
Zeynep H GümüşDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, United States.ORCID http://orcid.org/0000-0002-7364-2202
Liam J HoltInstitute for Systems Genetics, New York University Langone Medical Center, New York, United States.ORCID https://orcid.org/0000-0002-4002-0861
NYU Langone Health · USIcahn School of Medicine at Mount Sinai · USMemorial Sloan Kettering Cancer Center · USYale University · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Vaccine FacilityP30CA016087 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ADRIANA HEGUY · 1985 to 2026
$83.1M
Modeling human phosphorylation networks through kinome-wide profilingR01GM104047 · NIGMS · YALE UNIVERSITY · PI TURK, BENJAMIN E, YAFFE, MICHAEL B · 2013 to 2017
$2.4M
The role of reorganization energy in achieving selective kinase inhibition"R01GM121505 · NIGMS · SLOAN-KETTERING INST CAN RESEARCH · PI CHODERA, JOHN DAMON · 2017 to 2021
$1.8M
NCI NIH HHS P30 CA008748NCI NIH HHS P30CA008748NCI NIH HHS P30 CA016087NCI NIH HHS P30CA016087NIGMS NIH HHS GM104047NIGMS NIH HHS R01 GM104047NIGMS NIH HHS R01 GM121505NIGMS NIH HHS R01GM121505U.S. Department of Defense W81XWH-17-1-0412
6 · The paper itself

Abstract

Protein kinases are crucial to coordinate cellular decisions and therefore their activities are strictly regulated. Previously we used ancestral reconstruction to determine how CMGC group kinase specificity evolved (Howard et al., 2014). In the present study, we reconstructed ancestral kinases to study the evolution of regulation, from the inferred ancestor of CDKs and MAPKs, to modern ERKs. Kinases switched from high to low autophosphorylation activity at the transition to the inferred ancestor of ERKs 1 and 2. Two synergistic amino acid changes were sufficient to induce this change: shortening of the β3-αC loop and mutation of the gatekeeper residue. Restoring these two mutations to their inferred ancestral state led to a loss of dependence of modern ERKs 1 and 2 on the upstream activating kinase MEK in human cells. Our results shed light on the evolutionary mechanisms that led to the tight regulation of a kinase that is central in development and disease.

Indexed as

Evolution, MolecularAmino Acid SubstitutionAnimalsComputational BiologyHumansMAP Kinase Signaling SystemMutation, MissensePhosphorylationProtein Processing, Post-Translationalancestral reconstructionbiochemistrychemical biologyerkevolutionevolutionary biologyextracellular regulated kinasehumanprotein kinase

Identifiers

PMID31407663
PMCPMC6692128
OpenAlexW2968008354

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.