Evidence map›Paper›PMID 39107279›Full record

ReviewCell death discovery2024

Thermal stress, p53 structures and learning from elephants.

Konstantinos Karakostis, Monikaben Padariya, Aikaterini Thermou, Robin Fåhraeus, Umesh Kalathiya, Fritz Vollrath

Abstract readReview
In one paragraph

Review in Cell death discovery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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

1 citing paper in PubMed.

  1. 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

6 authors.

Konstantinos KarakostisInstitut de Biotecnologia i de Biomedicina, Universitat Autònoma de Barcelona, Bellaterra, Barcelona, Spain. konstantinos.karakostis@gmail.com.ORCID http://orcid.org/0000-0003-1122-7860
Monikaben PadariyaInternational Centre for Cancer Vaccine Science, University of Gdansk, ul. Kładki 24, Gdansk, Poland. monikaben.padariya@ug.edu.pl.ORCID http://orcid.org/0000-0002-9132-8620
Aikaterini ThermouInserm UMRS1131, Institut de Génétique Moléculaire, Université Paris 7, Hôpital St. Louis, Paris, France.
Robin FåhraeusInserm UMRS1131, Institut de Génétique Moléculaire, Université Paris 7, Hôpital St. Louis, Paris, France.ORCID http://orcid.org/0000-0003-0402-8492
Umesh KalathiyaInternational Centre for Cancer Vaccine Science, University of Gdansk, ul. Kładki 24, Gdansk, Poland.ORCID http://orcid.org/0000-0001-7757-6962
Fritz VollrathDepartment of Biology, University of Oxford, Oxford, UK. fritz.vollrath@biology.ox.ac.uk.ORCID http://orcid.org/0000-0003-3484-9005

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As species adapt to climatic changes, temperature-dependent functions of p53 in development, metabolism and cancer will adapt as well. Structural analyses of p53 epitopes interacting in response to environmental stressors, such as heat, may uncover physiologically relevant functions of p53 in cell regulation and genomic adaptations. Here we explore the multiple p53 elephant paradigm with an experimentally validated in silico model showing that under heat stress some p53 copies escape negative regulation by the MDM2 E3 ubiquitin ligase. Multiple p53 isoforms have evolved naturally in the elephant thus presenting a unique experimental system to study the scope of p53 functions and the contribution of environmental stressors to DNA damage. We assert that fundamental insights derived from studies of a historically heat-challenged mammal will provide important insights directly relevant to human biology in the light of climate change when 'heat' may introduce novel challenges to our bodies and health.

Identifiers

PMID39107279
PMCPMC11303390

What OpenQuestion holds

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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.