Key Myeloid Sub-cluster DEGs: Single-Cell RNA Sequencing Data from Human Milk

Nadine Schrode's dataset contains differentially expressed genes (DEGs) from single-cell RNA sequencing of over 23,000 CD45+ enriched cells from 9 healthy lactating donors. The data 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 cell-type-specific gene expression markers based on the 18 described myeloid sub-clusters.
• Analyze donor-specific heterogeneity in immune cell composition based on the observation of sub-clusters restricted to 1-2 individuals.
• Investigate lipid metabolism pathways in immune cells based on described transcriptional features of adaptation to the milk environment.
• Study intercellular communication networks among immune subsets based on the CellChat analysis revealing MHC-II, SPP1, and MIF signaling.

Strengths

• Data is derived from a substantial sample of over 23,000 CD45+ enriched cells.
• Analysis identified 18 transcriptionally distinct mononuclear myeloid subpopulations, providing high-resolution categorization.
• Dataset captures pronounced donor-specific heterogeneity, highlighting personalized immune composition.

Limitations

• Dataset is very small at 9.5 KB, suggesting it contains summary-level results (e.g., DEG lists) 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

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 17:35:54; freshness should be verified.