Bovine Immune Cell Transcriptomes Before and After BCG Vaccination

Rachrapee Sukmak published this single-cell RNA sequencing dataset on figshare in April 2026. It contains transcriptomic profiles for 20,761 individual cells from three Bos taurus calves, sampled before and after BCG vaccination. Cells were clustered into dendritic cell subsets, monocytes, T-cells, B-cells, and NK cells.

Use Cases

• Classify cell types (ALDCs, monocytes, T-cells) from single-cell transcriptome data using clustering on 3,036 average genes per cell.
• Identify subset-specific gene markers for cDC1 (e.g., STX4, NEBL) and cDC2 (e.g., FN1, FGL2) in bovine afferent lymph.
• Model transcriptomic changes post-vaccination by comparing gene expression signatures for antigen presentation and migration before and after BCG.
• Analyze differential gene expression between cDC1 and cDC2 subsets to study metabolic alterations versus inflammatory responses.
• Validate clustering algorithms on a dataset of 20,761 cells with pre-defined immune cell annotations.

Strengths

• High-resolution single-cell data with transcriptomes for 20,761 individual cells.
• Cells express an average of 3,036 genes, providing detailed transcriptional profiles.
• Includes paired pre- and post-vaccination samples from 3 animals for longitudinal analysis.
• Clear cell type annotations including dendritic cell subsets (cDC1, cDC2), monocytes, and lymphocytes.

Limitations

• Small sample size of only 3 calves, limiting statistical power for inter-individual comparisons.
• Dataset scale is 13.7 MB, indicating processed or summary-level data rather than raw sequencing reads.
• Specific column names and data structure are not provided in the description.

Provenance

Source

figshare, author Rachrapee Sukmak.

Collection Method

Single-cell RNA sequencing (scRNA-seq) performed on afferent lymph cells from Bos taurus calves.

Time Range

Samples collected before and after BCG vaccination (specific dates not provided).

Freshness

Last updated April 2026.

Geography

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