Evidence map›Paper›PMID 41024715›Full record

ArticleNucleic acids research2026

CRESTA: a comprehensive transcriptome atlas for cellular response to external stressors.

Hongge Wang, Weiping Mu, Xiaoqiong Bao, Luowanyue Zhang, Yuxi Xie, Huiqin Li, Kebing Wang, Yaqing Cao, Jingsong Chen, Jikai Zhan and 4 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2026. 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

14 authors.

Hongge WangSchool of Life Sciences, State Key Laboratory of Oncology in South China, Cancer Center, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, China.
Weiping MuSchool of Life Sciences, State Key Laboratory of Oncology in South China, Cancer Center, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, China.
Xiaoqiong BaoSchool of Life Sciences, State Key Laboratory of Oncology in South China, Cancer Center, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, China.
Luowanyue ZhangSchool of Life Sciences, State Key Laboratory of Oncology in South China, Cancer Center, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, China.
Yuxi XieSchool of Mathematics, South China University of Technology, Guangzhou 510641, China.
Huiqin LiSchool of Life Sciences, State Key Laboratory of Oncology in South China, Cancer Center, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, China.
Kebing WangHenan Academy of Innovations in Medical Science, Zhengzhou 450052, Henan, China.
Yaqing CaoSchool of Life Sciences, State Key Laboratory of Oncology in South China, Cancer Center, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, China.
Jingsong ChenSchool of Life Sciences, State Key Laboratory of Oncology in South China, Cancer Center, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, China.
Jikai ZhanSchool of Life Sciences, State Key Laboratory of Oncology in South China, Cancer Center, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, China.
Lingxiao LiSchool of Life Sciences, State Key Laboratory of Oncology in South China, Cancer Center, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, China.
Jun ShenDivision of Gastroenterology and Hepatology, Key Laboratory of Gastroenterology and Hepatology, Ministry of Health, Inflammatory Bowel Disease Research Center; Renji Hospital, School of Medicine, Shanghai Jiao Tong University; Shanghai Institute of Digestive Disease, No.160 PuJian Road, Shanghai 200127, China.
Jian RenSchool of Life Sciences, State Key Laboratory of Oncology in South China, Cancer Center, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, China.ORCID 0000-0002-4161-1292
Zhixiang ZuoSchool of Life Sciences, State Key Laboratory of Oncology in South China, Cancer Center, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, China.ORCID 0000-0002-2492-2689

Funding

Guangdong Esophageal Cancer Institute Science and Technology M202206National Key Research and Development Program of China 2023YFF1204600National Natural Science Foundation of China 32470709National Natural Science Foundation of China 82573769Shenzhen Medical Research B2402019Sun Yat-sen University Cancer Center YTP-SYSUCC-0013
6 · The paper itself

Abstract

Cellular stress response (CSR) is crucial for maintaining intracellular homeostasis upon exposure to hazardous environmental stressors, whose failure can lead to cell death. Here, we developed CRESTA (https://cresta.renlab.cn/), an integrated database providing a comprehensive resource for studying stressor-induced CSR. CRESTA unifies fragmented transcriptomic data across diverse stressors, cell types, and contexts into a hierarchically structured atlas. It catalogs 20 786 unique stress-associated genes responding to 14 major categories (180 sub-categories) of human cellular stressors, based on the differential expression analysis of 8258 samples spanning 197 human cell types. These stressor categories include air pollutants, antineoplastic agents, heavy metals, hypoxia, mechanical stimuli, natural toxins, nutrient deprivation, pesticides, radiation, temperature change, etc. To further enable causal inference between stressors and molecular pathologies, CRESTA links CSR transcriptomic signatures to functional pathways, cell death annotations, and disease associations. Additionally, the CSR profiles are connected with chemical perturbation features involving FDA-approved drugs to support systematic drug repurposing. Overall, we expect that CRESTA will serve as a vital resource for mechanistic studies of cytotoxicity, cellular perturbation evaluation, and CSR-targeted drug discovery.

Indexed as

Databases, GeneticStress, PhysiologicalTranscriptomeGene Expression ProfilingHumans

Identifiers

PMID41024715
PMCPMC12807750

What OpenQuestion holds

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LicenceCC BY-NC
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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.