Myeloid Cell Type DEGs: Single-Cell RNA Sequencing of Human Milk Immune Cells

Single-cell RNA sequencing data from over 23,000 CD45+ enriched cells collected from 9 healthy lactating donors. The dataset, authored by Nadine Schrode and shared under a CC-BY-4.0 license, identifies 18 transcriptionally distinct mononuclear myeloid subpopulations, including macrophage, dendritic cell, monocyte, and epithelial-like clusters. It was last updated on May 11, 2026.

Use Cases

• Identify differentially expressed genes (DEGs) based on myeloid cell subpopulations mentioned in the description
• Analyze donor-specific heterogeneity in immune cell composition based on the observation of sub-clusters restricted to 1-2 individuals
• Investigate lipid adaptation pathways in immune cells based on described expression of genes like APOE, LIPA, and APOC1
• Model intercellular communication networks among immune subsets based on the described CellChat analysis involving MHC-II, SPP1, and MIF

Strengths

• Data from over 23,000 cells provides a substantial sample for single-cell analysis
• Identifies 18 transcriptionally distinct mononuclear myeloid subpopulations, offering high-resolution classification
• Includes data from 9 donors, allowing for the assessment of inter-individual variation

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment for large-scale modeling

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 17:35:38