This repository contains the analysis code and documentation for single-cell RNA-seq analysis of maternal cells transferred through milk to nursing pups.
This project analyzes single-cell RNA-seq data from mouse pup blood samples to identify and characterize maternal cells transferred via nursing. Using GFP-labeled maternal cells, we track and analyze transferred immune cells in the offspring circulation, focusing on macrophage populations and their transcriptional signatures.
make_figures.qmd: Main analysis workflow in Quarto format- Quality control and filtering
- Cell type annotation
- Differential expression analysis
- Pathway enrichment analysis
- Publication-quality figure generation
- Identification of maternal cells transferred via milk in nursing pup blood
- Characterization of transferred macrophage populations
- Differential gene expression and pathway analysis of maternal vs. control cells
- Evidence of maternal immune cell transfer through lactation
- Data Loading: Process 10X Genomics single-cell data
- Quality Control: Filter cells based on QC metrics
- Doublet Detection: Remove doublets using scDblFinder
- Normalization: Log-normalize and scale data
- Dimensionality Reduction: PCA and UMAP
- Cell Type Annotation: Manual and automated (SingleR) annotation
- Differential Expression: Compare GFP+ vs control macrophages
- Pathway Analysis: Enrichment analysis using MSigDB gene sets
- Seurat
- SingleR
- tidyverse
- dittoSeq
- ggrepel
- scDblFinder
- mascarade
- msigdbr
- UCell
- patchwork
To reproduce the analysis:
# Open and render the Quarto document
quarto::quarto_render("make_figures.qmd")The analysis generates publication-ready figures including:
- UMAP visualizations by sample origin and cell type
- Volcano plots for differential expression
- Pathway enrichment heatmaps
- Dotplots for marker gene expression
For questions about this analysis, please open an issue in this repository.
This project is licensed under the MIT License.