Personalized single-cell transcriptomics reveals molecular diversity in Alzheimer's disease.

Personalized single-cell transcriptomics uncovers molecular diversity in over 1900 brains with Alzheimer's disease, revealing distinct subpopulations and disease trajectories.

• Why it matters: Understanding the molecular heterogeneity of AD is crucial for developing targeted therapies, but current approaches lack personalized insights into gene regulation and disease progression.
• What they did: The study applied a knowledge-guided graph neural network to analyze single-nucleus RNA-seq data from diverse cohorts, identifying donor-specific gene regulatory networks, cell-type genes, and gene regulatory QTLs.
• The result: This work creates a personalized functional genomics atlas and an open-source framework, iBrainMap, enabling precise classification, subpopulation identification, and insights into genetic regulation in AD.