{"title":"CRESTA:细胞对外部应激源反应的综合转录组图谱","authors":"Hongge Wang, Weiping Mu, Xiaoqiong Bao, Luowanyue Zhang, Yuxi Xie, Huiqin Li, Kebing Wang, Yaqing Cao, Jingsong Chen, Jikai Zhan, Lingxiao Li, Jun Shen, Jian Ren, Zhixiang Zuo","doi":"10.1093/nar/gkaf968","DOIUrl":null,"url":null,"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.","PeriodicalId":19471,"journal":{"name":"Nucleic Acids Research","volume":"5 1","pages":""},"PeriodicalIF":13.1000,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"CRESTA: a comprehensive transcriptome atlas for cellular response to external stressors\",\"authors\":\"Hongge Wang, Weiping Mu, Xiaoqiong Bao, Luowanyue Zhang, Yuxi Xie, Huiqin Li, Kebing Wang, Yaqing Cao, Jingsong Chen, Jikai Zhan, Lingxiao Li, Jun Shen, Jian Ren, Zhixiang Zuo\",\"doi\":\"10.1093/nar/gkaf968\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":19471,\"journal\":{\"name\":\"Nucleic Acids Research\",\"volume\":\"5 1\",\"pages\":\"\"},\"PeriodicalIF\":13.1000,\"publicationDate\":\"2025-09-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nucleic Acids Research\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1093/nar/gkaf968\",\"RegionNum\":2,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nucleic Acids Research","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1093/nar/gkaf968","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
CRESTA: a comprehensive transcriptome atlas for cellular response to external stressors
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.
期刊介绍:
Nucleic Acids Research (NAR) is a scientific journal that publishes research on various aspects of nucleic acids and proteins involved in nucleic acid metabolism and interactions. It covers areas such as chemistry and synthetic biology, computational biology, gene regulation, chromatin and epigenetics, genome integrity, repair and replication, genomics, molecular biology, nucleic acid enzymes, RNA, and structural biology. The journal also includes a Survey and Summary section for brief reviews. Additionally, each year, the first issue is dedicated to biological databases, and an issue in July focuses on web-based software resources for the biological community. Nucleic Acids Research is indexed by several services including Abstracts on Hygiene and Communicable Diseases, Animal Breeding Abstracts, Agricultural Engineering Abstracts, Agbiotech News and Information, BIOSIS Previews, CAB Abstracts, and EMBASE.