Predicting Macrophage Spatial Localization from Single-Cell Transcriptomes to Uncover Disease Mechanisms - PubMed
3 hours ago
- #kidney disease
- #spatial transcriptomics
- #macrophage localization
- MERLIN algorithm reconstructs spatial information from scRNA-seq data in organs with compartmentalized anatomy.
- Achieves over 75% accuracy in predicting macrophage localization in murine and human kidney datasets.
- Not effective for more motile immune cells like lymphocytes.
- Positional transcriptomic fingerprints reveal pathways of microenvironmental responses and show a sex bias.
- Successfully applied in disease models including crescentic glomerulonephritis and acute kidney injury.
- Predicts spatial distribution of brain microglia, expanding its applicability beyond the kidney.
- Enhances understanding of disease mechanisms by linking scRNA-seq data with spatial context.