ArticleFrontiers in molecular neuroscience2025
A comprehensive analysis of allele-specific expression and transcriptomic profiling in pig limbic and endocrine tissues.
Article in Frontiers in molecular neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Stress involves complex interactions between the brain and endocrine systems, but the gene-level processes and genetic factors mediating these responses remain unclear. This study investigates gene expression patterns and allele-specific expression (ASE) in key limbic, diencephalon and endocrine tissues to better understand stress adaptation at the molecular level. Methods: We performed RNA sequencing on 48 samples from six distinct tissues: amygdala, hippocampus, thalamus, hypothalamus, pituitary gland, and adrenal gland. These tissues were categorized into three functionally and anatomically distinct groups: limbic (amygdala, hippocampus), diencephalon (thalamus, hypothalamus), and endocrine (pituitary, adrenal). Differential expression analyses were conducted both between individual tissues and across these tissue groups. Weighted Gene Co-expression Network Analysis (WGCNA) was applied exclusively at the tissue group level to identify group-specific gene networks. Allele-specific expression (ASE) was analyzed at the individual tissue level to capture cis-regulatory variation with high resolution. Results: Thirty-three candidate genes were differentially expressed across all tissues, indicating a core set involved in stress responses. Weighted Gene Co-expression Network Analysis revealed limbic and diencephalon modules enriched in neural signaling pathways such as neuroactive ligand-receptor interaction and synaptic functions, while endocrine modules were enriched for hormone biosynthesis and secretion, including thyroid and growth hormone pathways. Over 1,000 genes per tissue showed ASE, with 37 genes consistently colocalized. Ten of these displayed differences in allelic ratios, with seven ( Conclusion: The findings reveal significant genetic regulation differences between brain and endocrine tissues, emphasizing the complexity of stress adaptation. By identifying key genes and pathways, this study provides insights that could aid in enhancing animal welfare and productivity through targeted modulation of stress-related molecular pathways.
Indexed as
Identifiers
What OpenQuestion holds
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.