Omics · study · 2026
Single cell transcriptomics reveals dendritic cell subsets in bovine afferent lymph and immune cell-resolved responses to BCG vaccination
Listed in NCBI GEO
Bovine tuberculosis (bTB), caused by Mycobacterium bovis (M. bovis), remains an ongoing global issue for human and animal health.
Description
The Bacille Calmette Guerin (BCG) vaccine offers immunity against bTB, however, the mechanisms underlying the heterogenous protective response, including variations across species and age groups requires further investigation. In this study, we focused on dendritic cells (DCs), which are crucial for adaptive immune stimulation following BCG vaccination.
By capturing afferent lymph DCs (ALDCs) migrating from the skin, we investigated shifts in DC profiles and potential subset-specific functions in response to BCG vaccination. Single-cell RNA sequencing (scRNA-seq) was performed on samples from n=3 Bos taurus calves before and after BCG vaccination, capturing the transcriptome of 20,761 individual cells expressing on average 3,036 unique genes, which were clustered into ALDCs, monocytes, T-cells, B-cells and NK cells.
Read the rest (2 more)
The ALDC subsets were further identified as cDC1 and cDC2. In homeostasis, ALDCs expressing potential subset-specific genes for cDC1, including ENSBTAG00000056208 (LINE-1), STX4, NEBL, ADAM23, ART3, and cDC2; FN1, PSPH, FGL2, SHOX2, and WWTR1 were identified. Following BCG vaccination, while both subsets exhibited gene expression signatures indicative of antigen-presenting function, migration, and DC maturation, cDC1 showed upregulation of genes consistent with metabolic alterations and lymphocyte recruitment, whereas cDC2 upregulated genes consistent with inflammatory responses.
Overall, this study comprehensively describes the transcriptomic landscape of bovine ALDC subsets, providing evidence for the importance of subset-specific genes to BCG vaccination responses, while advancing knowledge on how ALDCs contribute to protective immunity against bTB.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE312nnn/GSE312782 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE312782 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1375870 ncbi.nlm.nih.gov/bioproject/PRJNA1375870 ↗
project · from NCBI GEO
- PubMed 42023217 pubmed.ncbi.nlm.nih.gov/42023217 ↗
publication · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing
- From keywords
- Life Sciences
- Inferred from text
- RNA sequencing 75% · Sequencing 75% · Single-cell RNA sequencing 75%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE312782 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[modality].local:modality:rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:sequencing | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:single-cell-rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |