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ASTRA: a comprehensive resource of stress-induced transcriptional activity in human cell lines

Tsifintaris, Margaritis
Grigoriadis, Dimitris
Sitmalidis, Michail
Repanas, Panagiotis
Anastasiadi, Christina
Kavakiotis, Ioannis
Sandaltzopoulos, Raphael M.
Pavlopoulos, Georgios A.
Giannakakis, Antonis
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Abstract
The atlas of stress response activity (ASTRA) is an open-access, curated database cataloging transcriptomic responses to stress in human cell lines, organized by major stress categories to advance research on conserved and stress-specific pathways, RNA biomarkers, and disease mechanisms. It integrates and standardizes bulk RNA-seq datasets from the Gene Expression Omnibus (GEO), focusing on messenger RNA and long noncoding RNA expression under diverse stress conditions. Data are grouped into four categories-oxidative stress, hypoxia, heat shock, and DNA damage-with subcategories corresponding to H2O2, low oxygen, increased temperature, and UV radiation as molecular stressors, respectively. A harmonized computational pipeline ensures comparability across samples and studies. Each dataset contains stressed and matched control samples, annotated with detailed metadata, including cell line identity, tissue origin, cell-state classification (non-diseased, cancer, organoid), treatment parameters, and sequencing protocols. ASTRA allows users to query gene-level expression, perform differential expression analyses, and visualize transcriptional dynamics across datasets, conditions, and cell-type groups. By profiling both coding and noncoding transcriptomes, ASTRA facilitates the discovery of novel stress-responsive genes and RNA-mediated regulatory mechanisms. As a comprehensive resource, it supports functional genomics, systems biology, and translational research in the areas of cellular homeostasis, adaptation, and pathogenesis. ASTRA is freely accessible at https://astra-db.com/.
Citation
M. Tsifintaris et al., “ASTRA: a comprehensive resource of stress-induced transcriptional activity in human cell lines,” Nucleic Acids Res., vol. 54, no. D1, pp. D938–D948, Jan. 2026, doi: 10.1093/NAR/GKAF1174
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Nucleic Acids Research
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Oxford University Press
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