Evidence map›Paper›PMID 38801214›Full record

ArticleProtein science : a publication of the Protein Society2024

A fluorescence-based sensor for calibrated measurement of protein kinase stability in live cells.

Joseph W Paul, Serena Muratcioğlu, John Kuriyan

Abstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

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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

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Joseph W PaulDepartment of Molecular and Cell Biology, University of California, Berkeley, California, USA.ORCID 0000-0003-4241-3498
Serena MuratcioğluDepartment of Biochemistry, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
John KuriyanDepartment of Biochemistry, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.ORCID 0000-0002-4414-5477

Funding

Understand the metabolic fitness of naïve T cellsP01AI091580 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JEROEN ROOSE · 2011 to 2026
$31.1M
California Institute of Quantitative BiosciencesHoward Hughes Medical InstituteNational Institute of Allergy and Infectious Diseases 5P01AI091580-10National Science Foundation 1752814NIAID NIH HHS P01 AI091580NIH HHSVanderbilt University School of Medicine
6 · The paper itself

Abstract

Oncogenic mutations can destabilize signaling proteins, resulting in increased or unregulated activity. Thus, there is considerable interest in mapping the relationship between mutations and the stability of signaling proteins, to better understand the consequences of oncogenic mutations and potentially inform the development of new therapeutics. Here, we develop a tool to study protein-kinase stability in live mammalian cells and the effects of the HSP90 chaperone system on the stability of these kinases. We determine the expression levels of protein kinases by monitoring the fluorescence of fluorescent proteins fused to those kinases, normalized to that of co-expressed reference fluorescent proteins. We used this tool to study the dependence of Src- and Raf-family kinases on the HSP90 system. We demonstrate that this sensor reports on destabilization induced by oncogenic mutations in these kinases. We also show that Src-homology 2 and Src-homology 3 domains, which are required for autoinhibition of Src-family kinases, stabilize these kinase domains in the cell. Our expression-calibrated sensor enables the facile characterization of the effects of mutations and small-molecule drugs on protein-kinase stability.

Indexed as

HSP90 Heat-Shock ProteinsEnzyme StabilityFluorescenceHEK293 CellsHumansMutationProtein Stabilitysrc-Family KinasesHSP90 Heat-Shock Proteinssrc-Family Kinasescell signalingfluorescent sensorsHSP90kinase inhibitorskinasesoncogenesprotein stability

Identifiers

PMID38801214
PMCPMC11129626

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

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.