Single-Cell RNA Sequencing of Human Milk Myeloid Cells from 9 Donors

Single-cell RNA sequencing data from over 23,000 CD45+ enriched cells identifies 18 transcriptionally distinct mononuclear myeloid subpopulations in human milk. The dataset, created by Nadine Schrode and last updated in 2026, reveals donor-specific heterogeneity and transcriptional programs adapted to the lipid-rich lactational environment. It includes 10 macrophage clusters, 5 dendritic cell subsets, a monocyte population, and 2 epithelial-like clusters.

Use Cases

• Classifying myeloid cell subpopulations based on scRNAseq clustering results
• Analyzing donor-specific heterogeneity in immune cell composition during lactation
• Investigating lipid adaptation pathways in immune cells based on gene expression data
• Modeling intercellular communication networks among myeloid subsets using CellChat analysis

Strengths

• Data is derived from over 23,000 CD45+ enriched cells, providing a substantial single-cell profile.
• Analysis identified 18 transcriptionally distinct myeloid subpopulations, offering high-resolution categorization.
• Includes data from 9 healthy lactating donors, allowing for observation of inter-individual variation.

Limitations

• The dataset is very small at 5.5 KB, suggesting it contains summary or processed results rather than raw sequencing data.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for certain analyses.

Provenance

Source

figshare

Collection Method

Single-cell RNA sequencing (scRNAseq) performed on CD45+ enriched cells from human milk samples.

Freshness

Last updated 2026-05-11 17:35:53; freshness should be verified.