ArticleNucleic acids research2026
ASTRA: a comprehensive resource of stress-induced transcriptional activity in human cell lines.
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 5 papers.
What it found
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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.
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.
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Who cites it
5 citing papers in PubMed.
- Review
- Integrative RNA-Seq Analysis Reveals Stress Type-Dependent lncRNA-Centered Co-Expression Networks Across Human Cellular Stress Contexts.International journal of molecular sciences · 2026Article
- Article
- Antioxidant Activity and Metabolomic Characterization ofMicroorganisms · 2026Article
- Differential Radiomodulatory Effects of Sodium Aminodihydrophthalazinedione (TameronInternational journal of molecular sciences · 2026Article
Corrections and comments
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Authors and funding
10 authors.
Funding
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/.
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Registered trials
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.