Evidence map›Paper›PMID 40826444›Full record

ArticleBMC genomics2025

Single-cell transcriptomics uncovers key immune drivers of vaccine efficacy in cattle.

Annaleise Wilson, Pâmela A Alexandre, Aaron M Brice, Brad C Hine, Aaron Ingham, Thibault P R A Legrand, Caroline Royle, Dominic Niemeyer, Antonio Reverter, Stuart E Denman and 1 more

Abstract read
PubMed Full text at PMC Publisher
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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

11 authors.

Annaleise WilsonCSIRO Health & Biosecurity, Australian Centre for Disease Preparedness, Geelong, VIC, Australia. annaleise.wilson@csiro.au.
Pâmela A AlexandreCSIRO Agriculture & Food, Queensland Biosciences Precinct, St Lucia, QLD, Australia.
Aaron M BriceCSIRO Health & Biosecurity, Australian Centre for Disease Preparedness, Geelong, VIC, Australia.
Brad C HineCSIRO Agriculture & Food, FD McMaster Laboratory, Armidale, NSW, Australia.
Aaron InghamCSIRO Agriculture & Food, Queensland Biosciences Precinct, St Lucia, QLD, Australia.
Thibault P R A LegrandCSIRO Agriculture & Food, Queensland Biosciences Precinct, St Lucia, QLD, Australia.
Caroline RoyleCSIRO Australian Animal Health Laboratory, Australian Centre for Disease Preparedness, Geelong, VIC, Australia.
Dominic NiemeyerCSIRO Agriculture & Food, FD McMaster Laboratory, Armidale, NSW, Australia.
Antonio ReverterCSIRO Agriculture & Food, Queensland Biosciences Precinct, St Lucia, QLD, Australia.
Stuart E DenmanCSIRO Agriculture & Food, Queensland Biosciences Precinct, St Lucia, QLD, Australia.
Ryan J FarrCSIRO Health & Biosecurity, Australian Centre for Disease Preparedness, Geelong, VIC, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Comprehensive characterization of bovine immune cell populations is essential for improving animal welfare and disease resilience. We performed single-cell RNA sequencing on over 29,000 peripheral blood mononuclear cells (PBMCs) from Angus cattle stratified by delayed-type hypersensitivity (DTH), a proxy for the cellular immune response (Cell-IR). Unsupervised clustering identified major immune populations including CD4

Indexed as

Gene Expression ProfilingSingle-Cell AnalysisTranscriptomeVaccinesAnimalsCattleLeukocytes, MononuclearVaccinesAdaptive immunityBovine immunologyGamma-delta T cellsInnate immunitySingle cell sequencingTranscriptomeVaccine response

Identifiers

PMID40826444
PMCPMC12359925

What OpenQuestion 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 OpenQuestion graph.