Evidence mapPaperPMID 41745955Full record

ReviewVeterinary sciences2026

Advances in Single-Cell Transcriptomics for Livestock Health.

Muhammad Zahoor Khan, Mohamed Tharwat, Abd Ullah, Fuad M Alzahrani, Khalid J Alzahrani, Khalaf F Alsharif, Fahad A Alshanbari

Abstract readReview
In one paragraph

Review in Veterinary sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Muhammad Zahoor KhanCollege of Agriculture and Biology, Liaocheng University, Liaocheng 252000, China.ORCID 0000-0001-5890-2996
Mohamed TharwatDepartment of Clinical Sciences, College of Veterinary Medicine, Qassim University, Buraidah 51452, Saudi Arabia.ORCID 0000-0002-3796-9590
Abd UllahCollege of Agriculture and Biology, Liaocheng University, Liaocheng 252000, China.ORCID 0009-0004-6839-7849
Fuad M AlzahraniDepartment of Clinical Laboratories Sciences, College of Applied Medical Sciences, Taif University, Taif 21944, Saudi Arabia.ORCID 0000-0001-6930-5214
Khalid J AlzahraniDepartment of Clinical Laboratories Sciences, College of Applied Medical Sciences, Taif University, Taif 21944, Saudi Arabia.ORCID 0000-0002-6688-0106
Khalaf F AlsharifDepartment of Clinical Laboratories Sciences, College of Applied Medical Sciences, Taif University, Taif 21944, Saudi Arabia.ORCID 0000-0002-8156-2069
Fahad A AlshanbariDepartment of Medical Biosciences, College of Veterinary Medicine, Qassim University, Buraidah 51452, Saudi Arabia.ORCID 0000-0001-7267-4301

Funding

Liaocheng Municipal Bureau of Science and Technology, High-talented Foreign Expert Introduction Program GDWZ202401
6 · The paper itself

Abstract

RNA sequencing (scRNA-seq) has emerged as a transformative technology for dissecting cellular heterogeneity and immune complexity in livestock species. This review summarizes recent advances in the application of single-cell transcriptomics to livestock health, with a particular focus on immune system organization and host-pathogen interactions in cattle, pigs, poultry, and small ruminants. We highlight the development of large-scale, multi-tissue cell atlases-such as the Cattle Cell Atlas and resources generated through the Farm Animal Genotype-Tissue Expression (FarmGTEx) consortium-that provide foundational reference frameworks for livestock genomics. These atlases have enabled the identification of tissue- and species-specific immune cell populations, clarified cellular tropism of major bacterial and viral pathogens, and revealed distinctive immunological features, including the prominent role of γδ T cells in ruminant immunity. We discuss how single-cell immune receptor sequencing has advanced monoclonal antibody discovery and informed rational vaccine design. Key technical and analytical challenges, including incomplete genome annotations, tissue processing constraints, and cross-platform data integration, are critically assessed. Finally, we outline future directions integrating spatial transcriptomics and multi-omics approaches to further resolve immune function within tissue contexts. Collectively, these advances position single-cell transcriptomics as a central framework for improving disease resistance, vaccine efficacy, and translational research in livestock health.

Indexed as

cell atlashost pathogen interactionlivestock immunitysingle-cell RNA sequencingvaccine development

Identifiers

PMID41745955
PMCPMC12945084

What Socratic holds

Textmetadata
LicenceCC BY
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.