Top Myeloid Sub-cluster Reactome Pathways from Human Milk scRNA-seq

Nadine Schrode's dataset, last updated May 2026, contains Reactome pathway analysis results for myeloid cells from human milk. The data is derived from single-cell RNA sequencing of over 23,000 CD45+ enriched cells from 9 healthy lactating donors, identifying 18 transcriptionally distinct mononuclear myeloid subpopulations. The Excel file includes pathway information related to lipid adaptation, degranulation, and antigen presentation.

Use Cases

• Identify lipid clearance pathways based on LDL and lipoprotein clearance gene expression.
• Analyze macrophage polarization based on M1-like and M2-like transcriptional states.
• Study intercellular communication based on CellChat analysis involving MHC-II, SPP1, and MIF.
• Investigate donor-specific heterogeneity based on sub-clusters restricted to 1–2 individuals.
• Examine hybrid cell states based on epithelial-like clusters expressing both EPCAM and myeloid genes.

Strengths

• Data originates from a substantial sample of over 23,000 cells from 9 donors.
• Analysis identified 18 transcriptionally distinct mononuclear myeloid subpopulations.
• Pathway analysis includes specific genes like INSIG1, QSOX1, APOE, LIPA, and APOC1.

Limitations

• The dataset is very small at 17.5 KB, indicating limited scope.
• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

Nadine Schrode via figshare

Collection Method

Single-cell RNA sequencing (scRNAseq) on CD45+ enriched cells.

Freshness

Last updated 2026-05-11 17:35:55; freshness should be verified.