Evidence map›Paper›PMID 19700401›Full record

ArticleThe Journal of biological chemistry2009

Effects of stability on the biological function of p53.

Kian Hoe Khoo, Sebastian Mayer, Alan R Fersht

Open access · hybridAbstract read
In one paragraph

Article in The Journal of biological chemistry, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

8 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Functional and Structural Features of Disease-Related Protein Variants.International journal of molecular sciences · 2019
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

3 authors at 1 institution in 1 country.

Kian Hoe KhooMedical Research Council Centre for Protein Engineering, Cambridge CB2 0QH, United Kingdom.
Sebastian Mayer
Alan R Fersht
Medical Research Council · GB

Funding

Cancer Research UKMedical Research Council MC_U105474168
6 · The paper itself

Abstract

The core domain of the tumor suppressor p53 has low thermodynamic stability, and many oncogenic mutations cause it to denature rapidly at body temperature. We made a series of core domain mutants that are significantly less or more stable than wild type to investigate effects of stability on the transcriptional activity and levels of native full-length p53 in H1299 mammalian cells. The levels of transcriptionally inactive native protein with inactivating mutations in the N-terminal transactivation domain correlated strongly with stability. The levels of transcriptionally active proteins, however, depended on both their stability and the transcriptional activity that leads to the feedback loop of proteolytic degradation via transcription of E3 ligases. A very highly stabilized quadruple mutant and an even more stable hexamutant were more active than wild-type p53 in terms of Bax transcription and apoptotic activity, and reached higher levels than wild type in cells. The increased activity did not result from increased overall stability but was due to a single known suppressor mutation, N239Y. It is possible that the low intrinsic stability of p53 is a means of keeping its level low in the cell by spontaneous denaturation, by a route additional to that of proteolytic degradation via E3 ligase pathways. Denatured p53 does accumulate in cells, and there are pathways for the proteolysis of denatured proteins.

Indexed as

Cell LineCell SurvivalHumansMutationProtein StabilityProtein Structure, TertiaryTranscriptional ActivationTranscription, GeneticTumor Suppressor Protein p53Tumor Suppressor Protein p53

Identifiers

PMID19700401
PMCPMC2781498
OpenAlexW2005914574

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.