Evidence map›Paper›PMID 42510649›Full record

ArticleBiology2026

Integrated ATAC-Seq and RNA-Seq Identify ATF3 as a Tumor Suppressor in UVB-Induced Keratinocyte Carcinogenesis.

Zhi Guo, Xuyi Deng, Sheng Lu, Fenghao Liu, Meijuan Zhou, Yinghui Wang

Abstract read
In one paragraph

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

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

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

6 authors.

Zhi GuoDepartment of Radiation Medicine, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China.
Xuyi DengDepartment of Radiation Medicine, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China.
Sheng LuDepartment of Radiation Medicine, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China.
Fenghao LiuDepartment of Radiation Medicine, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China.
Meijuan ZhouDepartment of Radiation Medicine, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China.
Yinghui WangDepartment of Radiation Medicine, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China.ORCID 0000-0002-9241-394X

Funding

Guangdong Basic and Applied Basic Research Foundation 2021A1515011055National Natural Science Foundation of China 82273582
6 · The paper itself

Abstract

Current approaches for preventing and suppressing the initiation and development of keratinocyte carcinoma remain limited, highlighting the urgent need to identify novel targets for tumor intervention. As major environmental pathogenic factor, chronic ultraviolet B (UVB) exposure promotes keratinocyte malignant transformation through epigenetic reprogramming, reshaping chromatin accessibility and gene expression program, which has not been fully elucidated. Here, we established a chronic UVB irradiation model to induce malignant transformation of keratinocytes and performed integrative analyses using ATAC-seq and RNA-seq. We identified 4903 differentially accessible regions (DARs), with increased accessibility at loci of tumor-promoting genes such as

Indexed as

ATAC-seqATF3chronic UVB radiationkeratinocyte carcinogenesisRNA-seq

Identifiers

PMID42510649
PMCPMC13405819

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.