Cellchat Data: Single-Cell RNA Sequencing of Human Milk Myeloid Cells

Single-cell RNA sequencing data from >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 macrophages, dendritic cells, monocytes, and epithelial-like clusters. It was last updated on May 11, 2026.

Use Cases

• Characterizing myeloid cell subpopulations based on the 18 transcriptionally distinct clusters identified
• Analyzing donor-specific heterogeneity based on the observation of sub-clusters restricted to 1–2 individuals
• Investigating lipid adaptation pathways based on described expression of genes like APOE, LIPA, and APOC1 in macrophages
• Modeling intercellular communication networks based on the CellChat analysis revealing MHC-II, SPP1, and MIF signaling

Strengths

• Contains data from >23,000 CD45+ enriched cells, providing a substantial sample size for single-cell analysis
• Identifies 18 transcriptionally distinct mononuclear myeloid subpopulations, offering high-resolution cell type classification
• Includes data from 9 healthy lactating donors, allowing for 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
• Data may reflect bias inherent to the specific cohort of 9 healthy donors from figshare

Provenance

Source

Nadine Schrode via figshare

Collection Method

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

Freshness

Last updated 2026-05-11 17:35:42; freshness should be verified