ArticleZoological research2025
Multi-omics reveals key cell types and gene families regulating eggshell strength in chicken uteri.
Article in Zoological research, 2025. 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.
The trial behind it
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Who cites it
3 citing papers in PubMed.
- Integrative multi-omics reveals comprehensive gut-liver-adipose metabolic changes in peak laying hens with high or low egg production.Poultry science · 2026Article
- A Genome-Wide Association Study Exploring the Genetic Architecture of Eggshell Quality in Chinese Wenshang Barred Chickens.Animals : an open access journal from MDPI · 2026Article
- Deciphering the uterine transcriptional mechanisms underlying eggshell strength through multi-stage analysis in laying hens.Poultry science · 2026Article
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Eggs represent an accessible and nutrient-dense source of high-quality animal protein, and decades of selective breeding have markedly elevated reproductive output in commercial laying hens. However, sustaining elevated productivity while improving eggshell integrity presents a critical challenge, as the molecular mechanisms of eggshell strength remain unclear. In this study, phenotypic assessment of eggshell strength was combined with single-cell transcriptomic profiling of the uterus from high- and low-strength groups, transcriptomic analysis of multiple tissues, and quantitative proteomic analysis of uterine fluid. Serum calcium and phosphorus levels did not differ significantly between groups. A single-cell atlas of the Rhode Island Red uterus was successfully generated for the first time, identifying nine distinct cell populations encompassing smooth muscle, epithelial, endothelial, and immune subsets. Integration of transcriptomic and proteomic datasets revealed that genes encoding collagens (
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Registered trials
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