ArticleScientific reports2022
Identification of functional features underlying heat stress response in Sprague-Dawley rats using mixed linear models.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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.
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Who cites it
3 citing papers in PubMed, 6 citations in OpenAlex.
- Noninvasive Epidermal Mucus RNA-Seq Analysis for Developing Methods to Evaluate Environmental Stress in the Japanese Eel (Anguilla japonica).Marine biotechnology (New York, N.Y.) · 2026Article
- Decoding Mastitis in Small Rodent Pets: Pathophysiology, Antimicrobial Resistance Profiles, and Future Directions in Treatment Strategies.Antibiotics (Basel, Switzerland) · 2025Review
- Proteomic identification of potential biomarkers for heat tolerance in Caracu beef cattle using high and low thermotolerant groups.BMC genomics · 2024Article
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Since global temperature is expected to rise by 2 °C in 2050 heat stress may become the most severe environmental factor. In the study, we illustrate the application of mixed linear models for the analysis of whole transcriptome expression in livers and adrenal tissues of Sprague-Dawley rats obtained by a heat stress experiment. By applying those models, we considered four sources of variation in transcript expression, comprising transcripts (1), genes (2), Gene Ontology terms (3), and Reactome pathways (4) and focussed on accounting for the similarity within each source, which was expressed as a covariance matrix. Models based on transcripts or genes levels explained a larger proportion of log
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