Evidence map›Paper›PMID 39948469›Full record

ArticleBMC genomics2025

Single-cell transcriptomic atlas of the chicken cecum reveals cellular responses and state shifts during Eimeria tenella infection.

Jun-Hao Tu, Bo-Gong Liu, Bing-Jin Lin, Hui-Chao Liu, Song-Chang Guo, Qing-Yuan Ouyang, Ling-Zhao Fang, Xi He, Ze-He Song, Hai-Han Zhang

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Jun-Hao TuCollege of Animal Science and Technology, Hunan Agricultural University, Changsha, Hunan, China.
Bo-Gong LiuCollege of Animal Science and Technology, Hunan Agricultural University, Changsha, Hunan, China.
Bing-Jin LinCollege of Animal Science and Technology, Hunan Agricultural University, Changsha, Hunan, China.
Hui-Chao LiuCollege of Animal Science and Technology, Hunan Agricultural University, Changsha, Hunan, China.
Song-Chang GuoCollege of Animal Science and Technology, Hunan Agricultural University, Changsha, Hunan, China.
Qing-Yuan OuyangCollege of Animal Science and Technology, Hunan Agricultural University, Changsha, Hunan, China.
Ling-Zhao FangCenter for Quantitative Genetics and Genomics, Aarhus University, Aarhus, 8000, Denmark.
Xi HeCollege of Animal Science and Technology, Hunan Agricultural University, Changsha, Hunan, China.
Ze-He SongCollege of Animal Science and Technology, Hunan Agricultural University, Changsha, Hunan, China. zehesong111@163.com.
Hai-Han ZhangCollege of Animal Science and Technology, Hunan Agricultural University, Changsha, Hunan, China. hhzhang@hunau.edu.cn.

Funding

National Outstanding Youth Science Fund Project of National Natural Science Foundation of China 32302736Supported by China Agriculture Research System of MOF and MARA CARS-41-Z08
6 · The paper itself

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

Indexed as

CecumChickensCoccidiosisEimeria tenellaPoultry DiseasesSingle-Cell AnalysisTranscriptomeAnimalsGene Expression ProfilingAPOB + enterocytesChicken cecumCoccidiosisEimeria tenellaSingle-cell RNA sequencing (scRNA-seq)

Identifiers

PMID39948469
PMCPMC11827208

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.