Evidence map›Paper›PMID 35272765›Full record

ArticleeLife2022

A saturation-mutagenesis analysis of the interplay between stability and activation in Ras.

Frank Hidalgo, Laura M Nocka, Neel H Shah, Kent Gorday, Naomi R Latorraca, Pradeep Bandaru, Sage Templeton, David Lee, Deepti Karandur, Jeffrey G Pelton and 3 more

Open access · goldAbstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

20 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. Functional dissection ofProceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. M-Ras distinct activation scenarios: A mechanistic outlook and targeting.Computational and structural biotechnology journal · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Emerging maps of allosteric regulation in cellular networks.Current opinion in structural biology · 2023
    Review
  18. Article
  19. Saturation mutagenesis of a predicted ancestral Syk-family kinase.Protein science : a publication of the Protein Society · 2022
    Article
  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

13 authors at 1 institution in 1 country.

Frank Hidalgo *California Institute for Quantitative Biosciences (QB3), University of California, Berkeley, Berkeley, United States.ORCID 0000-0003-1700-2697
Laura M Nocka *California Institute for Quantitative Biosciences (QB3), University of California, Berkeley, Berkeley, United States.
Neel H ShahCalifornia Institute for Quantitative Biosciences (QB3), University of California, Berkeley, Berkeley, United States.ORCID 0000-0002-1186-0626
Kent GordayCalifornia Institute for Quantitative Biosciences (QB3), University of California, Berkeley, Berkeley, United States.
Naomi R LatorracaCalifornia Institute for Quantitative Biosciences (QB3), University of California, Berkeley, Berkeley, United States.
Pradeep BandaruCalifornia Institute for Quantitative Biosciences (QB3), University of California, Berkeley, Berkeley, United States.ORCID 0000-0002-9354-3340
Sage TempletonCalifornia Institute for Quantitative Biosciences (QB3), University of California, Berkeley, Berkeley, United States.
David LeeCalifornia Institute for Quantitative Biosciences (QB3), University of California, Berkeley, Berkeley, United States.
Deepti KarandurCalifornia Institute for Quantitative Biosciences (QB3), University of California, Berkeley, Berkeley, United States.ORCID 0000-0002-6949-6337
Jeffrey G PeltonCalifornia Institute for Quantitative Biosciences (QB3), University of California, Berkeley, Berkeley, United States.
Susan MarquseeCalifornia Institute for Quantitative Biosciences (QB3), University of California, Berkeley, Berkeley, United States.ORCID 0000-0001-7648-2163
David WemmerCalifornia Institute for Quantitative Biosciences (QB3), University of California, Berkeley, Berkeley, United States.ORCID 0000-0001-6252-3390
John KuriyanCalifornia Institute for Quantitative Biosciences (QB3), University of California, Berkeley, Berkeley, United States.ORCID 0000-0002-4414-5477
QB3 · US

Funding

Understand the metabolic fitness of naïve T cellsP01AI091580 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JEROEN ROOSE · 2011 to 2026
$31.1M
MOLECULAR BIOPHYSICS TRAINING GRANTT32GM008295 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI HURLEY, JAMES H, WEMMER, DAVID E · 1989 to 2022
$8.1M
Sequence and Environmental Determinants of the Protein Energy LandscapeR01GM050945 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI MARQUSEE, SUSAN · 1999 to 2022
$7.4M
Biophysics Training ProgramT32GM146614 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI James H Hurley, Ahmet Yildiz · 2023 to 2026
$2.5M
Howard Hughes Medical InstituteNIAID NIH HHS P01 AI091580NIGMS NIH HHS R01 GM050945NIGMS NIH HHS T32 GM008295NIGMS NIH HHS T32 GM146614
6 · The paper itself

Abstract

Cancer mutations in Ras occur predominantly at three hotspots: Gly 12, Gly 13, and Gln 61. Previously, we reported that deep mutagenesis of H-Ras using a bacterial assay identified many other activating mutations (Bandaru et al., 2017). We now show that the results of saturation mutagenesis of H-Ras in mammalian Ba/F3 cells correlate well with the results of bacterial experiments in which H-Ras or K-Ras are co-expressed with a GTPase-activating protein (GAP). The prominent cancer hotspots are not dominant in the Ba/F3 data. We used the bacterial system to mutagenize Ras constructs of different stabilities and discovered a feature that distinguishes the cancer hotspots. While mutations at the cancer hotspots activate Ras regardless of construct stability, mutations at lower-frequency sites (e.g. at Val 14 or Asp 119) can be activating or deleterious, depending on the stability of the Ras construct. We characterized the dynamics of three non-hotspot activating Ras mutants by using NMR to monitor hydrogen-deuterium exchange (HDX). These mutations result in global increases in HDX rates, consistent with destabilization of Ras. An explanation for these observations is that mutations that destabilize Ras increase nucleotide dissociation rates, enabling activation by spontaneous nucleotide exchange. A further stability decrease can lead to insufficient levels of folded Ras - and subsequent loss of function. In contrast, the cancer hotspot mutations are mechanism-based activators of Ras that interfere directly with the action of GAPs. Our results demonstrate the importance of GAP surveillance and protein stability in determining the sensitivity of Ras to mutational activation.

Indexed as

GTPase-Activating ProteinsNeoplasmsAnimalsMammalsMutagenesisMutationNucleotidesras GTPase-Activating ProteinsGTPase-Activating ProteinsNucleotidesras GTPase-Activating Proteinsba/f3cancercancer mutantsE. colihigh throughput screeningh-rask-rasmolecular biophysicsrassaturation-mutagenesissignaling activationstructural biology

Identifiers

PMID35272765
PMCPMC8916776
OpenAlexW4220669464

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.