Myeloid Subcluster Reactome: Single-Cell RNA Sequencing of Human Milk Immune Cells

Myeloid Subcluster Reactome contains single-cell RNA sequencing data from over 23,000 CD45+ enriched cells from 9 healthy lactating donors. The dataset, authored by Nadine Schrode and last updated in May 2026, identifies 18 transcriptionally distinct mononuclear myeloid subpopulations in human milk. It includes macrophage, dendritic cell, monocyte, and epithelial-like clusters, with transcriptional analysis of pathways like lipid clearance and antigen presentation.

Use Cases

• Classify myeloid cell subpopulations based on transcriptional profiles described in the study.
• Analyze donor-specific heterogeneity in immune cell composition mentioned in the description.
• Investigate lipid metabolism and lipoprotein clearance pathways in milk-adapted immune cells.
• Model intercellular communication networks among myeloid subsets using inferred MHC-II, SPP1, and MIF signaling.

Strengths

• Data is derived from over 23,000 CD45+ enriched cells, providing a substantial sample size for analysis.
• Identifies 18 transcriptionally distinct myeloid subpopulations, including 10 macrophage and 5 dendritic cell clusters.
• Includes data from 9 healthy lactating donors, allowing for assessment of donor-specific heterogeneity.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for specific analytical tasks.

Provenance

Source

Nadine Schrode

Collection Method

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

Freshness

Last updated 2026-05-11 17:35:41; freshness should be verified.