Document Type
Article
Publication Date
8-15-2026
Abstract
Long non-coding RNAs (lncRNAs) are emerging as important regulators of cellular adaptation to environmental and molecular stress, but the extent to which their responses remain reproducible and stress-type-dependent across human stress conditions remains unclear. Here, we performed an integrative transcriptomic meta-analysis of human stress-response datasets from ASTRA and GEO, focusing on normal, non-cancerous, wild-type human cell lines exposed to oxidative stress (H2O2), hypoxia, heat stress, or UV-induced DNA damage. Gene Ontology (GO) enrichment analysis of differentially expressed (DE) protein-coding mRNAs confirmed that the resulting stress-stratified comparison captured biologically coherent transcriptional programmes to oxidative stress signaling, hypoxic and metabolic adaptation, heat-induced proteostasis, UV-induced DNA damage signaling, apoptosis, and cell-cycle regulation. Differential expression analysis was subsequently integrated with Weighted Gene Co-expression Network Analysis (WGCNA) -based module–treatment associations to rank network-supported lncRNA candidates. By prioritizing candidates for recurrence across at least two different stress studies, we identified lncRNAs with increased recurrence and consistent stress-type-dependent expression regulation, embedded within coordinated stress-associated mRNA programs.
Recommended Citation
Anastasiadi, Christina; Kasapi, Aggeliki; Sentementes, Ioannis; Gouzouasis, Vasileios; Tsifintaris, Margaritis; and Giannakakis, Antonis, "Integrative RNA-Seq Analysis Reveals Stress Type-Dependent lncRNA-Centered Co-Expression Networks Across Human Cellular Stress Contexts" (2026). Computational Medicine Center Faculty Papers. Paper 70.
https://jdc.jefferson.edu/tjucompmedctrfp/70
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 License.
PubMed ID
42653292
Language
English

Comments
This article is the author’s final published version in International Journal of Molecular Sciences, Volume 27, Issue 16, 2026, Article number 7288.
The published version is available at https://doi.org/10.3390/ijms27167288. Copyright © 2026 by the authors.