Publication Date
2026
College
College of Natural Resources & Sciences
Department
Mathematics & Data Science
Document Type
Poster
Description
Microglia are the brain’s resident immune cells, capable of shifting between pro- and anti-inflammatory states to regulate neural homeostasis. Disruptions to this balance contribute to neurodegenerative diseases such as Alzheimer’s disease. We analyzed single-cell gene expression data from approximately 600 mouse-derived microglia across six weeks to identify genes that capture cellular variability in both high and low dimensional representations. We also performed unsupervised clustering to identify subpopulations within the dataset based on gene expression patterns. This allowed us to map the known spectrum of functional states these cells occupy and examine how these transcriptional states change over time.