Dominic J. Acri

The paper integrates cell-specific gene expression and chromatin accessibility to identify neurodegenerative disease risk loci specific to microglia.

SAHA provides a statistical framework for rapid cell type annotation by transferring labels from reference datasets to query datasets without integration.

This study uses snRNA-seq to analyze age-related transcriptional changes in four brain regions across young and aged individuals, identifying region-specific age-associated genes and biological processes.

The paper shows that inflammatory signaling affects LRRK2 regulation differently in human and mouse models, highlighting species-specific regulatory mechanisms.

This study compares three nuclei isolation methods for brain snRNA-seq, finding protocol-dependent differences in cell type proportions, transcriptional homogeneity, and RNA contamination levels.

The paper uses single-cell RNA sequencing to assess the impact of Lrrk2 mutations on neuroinflammation in mice, finding limited transcriptional effects.

This study identifies generalizable glial states across multiple neurodegenerative diseases using integrative single-cell transcriptomic analysis of multi-region atlases.

This study shows that triglyceride metabolism is essential for microglial activation and disease states in APOE4 microglia, with implications for modulating immune responses.

The paper uses imaging spatial transcriptomics to identify neuronal subtypes vulnerable to -synuclein pathology in a transgenic mouse model and finds Plk2 and hSNCA expression are key to pathology development.

This study develops a robust snRNA-seq method to analyze depot-specific adipose tissue remodeling during obesity, identifying distinct adipocyte subpopulations and their functional trajectories.

The paper investigates how genetic background affects tau aggregate seeding in mice by analyzing RNA-seq and tau seeding activity data from four strains.

The paper identifies genetic variants affecting plasma protein levels in mice using pQTL mapping and describes a pipeline for drug target discovery.