Evidence map›Paper›PMID 25675526›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2015

Mechanism of initiation of aggregation of p53 revealed by Φ-value analysis.

GuoZhen Wang, Alan R Fersht

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2015. 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
2.4field-weighted citation impact, top 9% 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, 35 citations in OpenAlex.

  1. Article
  2. Review
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  8. Review
  9. Article
  10. Salvation of the fallen angel: Reactivating mutant p53.British journal of pharmacology · 2019
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Multisite aggregation of p53 and implications for drug rescue.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  16. Article
  17. Article
  18. Article
  19. Propagation of aggregated p53: Cross-reaction and coaggregation vs. seeding.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
  20. Review
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

2 authors at 2 institutions in 1 country.

GuoZhen WangMedical Research Council Laboratory of Molecular Biology, Cambridge CB2 0QH, United Kingdom.
Alan R FershtMedical Research Council Laboratory of Molecular Biology, Cambridge CB2 0QH, United Kingdom arf25@cam.ac.uk.
Medical Research Council · GBMRC Laboratory of Molecular Biology · GB

Funding

European Research Council 268506Medical Research Council MC_UP_A024_1010
6 · The paper itself

Abstract

Many oncogenic mutations inactivate the tumor suppressor p53 by destabilizing it, leading to its rapid aggregation. Small molecule drugs are being developed to stabilize such mutants. The kinetics of aggregation of p53 is deceptively simple. The initial steps in the micromolar concentration range follow apparent sigmoidal sequential first-order kinetics, with rate constants k1 and k2. However, the aggregation kinetics of a panel of mutants prepared for Φ-value analysis has now revealed a bimolecular reaction hidden beneath the observed first-order kinetics. Φu measures the degree of local unfolding on a scale of 0-1. A number of sequential Φu-values of ∼1 for k1 and k2 over the molecule implied more than one protein molecule must be reacting, which was confirmed by finding a clear concentration dependence at submicromolar protein. Numerical simulations showed that the kinetics of the more complex mechanism is difficult, if not impossible, to distinguish experimentally from simple first order under many reaction conditions. Stabilization of mutants by small molecules will be enhanced because they decrease both k1 and k2. The regions with high Φu-values point to the areas where stabilization of mutant proteins would have the greatest effect.

Indexed as

Protein AggregatesBenzothiazolesBiophysical PhenomenaComputer SimulationKineticsMutant ProteinsProtein Structure, TertiaryThiazolesTumor Suppressor Protein p53BenzothiazolesMutant ProteinsProtein AggregatesThiazolesthioflavin TTumor Suppressor Protein p53amyloidcancerfoldingmisfoldingprotein

Identifiers

PMID25675526
PMCPMC4345617
OpenAlexW1989038005

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.