ArticleBMC genomics2025
Single-cell transcriptomic atlas of the chicken cecum reveals cellular responses and state shifts during Eimeria tenella infection.
Article in BMC genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- Single-cell transcriptomics reveals diversity and conservation of chicken lymphocytes.Poultry science · 2026Article
- Single-cell transcriptomic profiling reveals innate-like cytotoxic intraepithelial lymphocyte expansion duringFrontiers in immunology · 2026Article
- Multidimensional regulatory mechanisms of chicken immunity: focus on viral infection, intestinal microbiota and heat stress.Frontiers in veterinary science · 2026Review
- An Integrated Model of Biphasic Apoptosis in Avian Coccidiosis: Molecular Networks and Host-Parasite Interplay.Animals : an open access journal from MDPI · 2025Review
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Eimeria tenella (E. tenella) infection is a major cause of coccidiosis in chickens, leading to significant economic losses in the poultry industry due to its impact on the cecum. This study presents a comprehensive single-cell atlas of the chicken cecal epithelium by generating 7,394 cells using 10X Genomics single-cell RNA sequencing (scRNA-seq). We identified 13 distinct cell types, including key immune and epithelial populations, and characterized their gene expression profiles and cell-cell communication networks. Integration of this single-cell data with bulk RNA-seq data from E. tenella-infected chickens revealed significant alterations in cell type composition and state, particularly a marked decrease in APOB
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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 Socratic graph.