Evidence map›Paper›PMID 42806154›Full record

ArticleEMBO reports2026

UHRF1 overexpression generates distinct senescent states with different Tp53 dependencies.

Elena Magnani, Charlene Chen, Filippo Macchi, Tijana Randic, Bhavani P Madakashira, Ian McBain, Kirsten C Sadler

Abstract read
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In one paragraph

Article in EMBO reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Elena MagnaniProgram in Biology, NYU Abu Dhabi, PO Box 129188, Abu Dhabi, UAE.ORCID http://orcid.org/0000-0003-0257-6233
Charlene ChenProgram in Biology, NYU Abu Dhabi, PO Box 129188, Abu Dhabi, UAE.ORCID http://orcid.org/0009-0003-7865-9251
Filippo MacchiProgram in Biology, NYU Abu Dhabi, PO Box 129188, Abu Dhabi, UAE.
Tijana RandicProgram in Biology, NYU Abu Dhabi, PO Box 129188, Abu Dhabi, UAE.
Bhavani P MadakashiraProgram in Biology, NYU Abu Dhabi, PO Box 129188, Abu Dhabi, UAE.
Ian McBainProgram in Biology, NYU Abu Dhabi, PO Box 129188, Abu Dhabi, UAE.
Kirsten C SadlerProgram in Biology, NYU Abu Dhabi, PO Box 129188, Abu Dhabi, UAE. ke27@nyu.edu.ORCID http://orcid.org/0000-0002-1100-4125

Funding

Al Jalila Foundation (مؤسسة الجليلة) AJF2018098HHS | National Institutes of Health (NIH) 5R01DK080789-11New York University Abu Dhabi (NYUAD) AD188NYUAD | Research Institute Centers, New York University Abu Dhabi (NYUAD Research Institute) ADHPG-CGSB
6 · The paper itself

Abstract

Senescence is a pleiotropic phenotype that alternatively suppresses or promotes cancer. Tumor-suppressive roles are attributed to irreversible cell cycle arrest and immune clearance, while tumor-promoting functions include apoptosis resistance and immune evasion, allowing cells to persist and support the tumor microenvironment or escape senescence and proliferate. Epigenetic changes are common features of senescent cells, and we used a preneoplastic liver cancer model caused by overexpression of the epigenetic regulator, UHRF1, in zebrafish hepatocytes to investigate how epigenome repatterning generates diverse senescent phenotypes. Early responses to UHRF1 overexpression include DNA damage, DNA methylome repatterning, retrotransposon derepression, cell cycle withdrawal, and atm and tp53-dependent senescence. scRNAseq analysis uncovers distinct senescent cell populations, some expressing immunogenic and anti-apoptotic genes, and others expressing proliferation genes. These populations have different capacities and susceptibilities based on UHRF1 levels. Cells with low UHRF1 levels proliferate in tp53 mutants, while cells with high UHRF1 levels do not re-enter the cell cycle and are targeted by the senolytic Navitoclax. This indicates that UHRF1 expression level can generate diverse senescent cell phenotypes with divergent outcomes.

Identifiers

PMID42806154

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.