1248-scMORE: Mapping Trait-Relevant eRegulons

This paper introduces scMORE, a novel computational method designed to identify cell-type-specific gene regulatory networks linked to complex diseases. By integrating single-cell multiomics with genome-wide association studies (GWAS), the framework uncovers how genetic variants influence specific transcription factor programs across various cellular contexts. The researchers successfully applied scMORE to 31 immune- and aging-related traits, revealing critical regulatory mechanisms in Parkinson’s disease and psychiatric disorders. Their findings highlight sex-dependent dysregulation in aged neurons and pinpoint actionable therapeutic targets within these genetic networks. Additionally, the study presents scHOB, a comprehensive open-access database of human organoid data to support further research into developmental and disease-related biology. Together, these tools provide a robust framework for translating broad genetic signals into precise, mechanistic insights at the cellular level.References:Ma Y, Yao Y, Zhou Y, et al. Integrating polygenic signals and single-cell multiomics identifies cell-type-specific regulomes critical for immune-and aging-related diseases[J]. Nature Aging, 2026, 6(1): 270-289.前往小宇宙评论区与主播互动