Ricardo A. Vialle

The paper analyzes microglial communication in Alzheimer's disease using single-nucleus RNA sequencing to identify altered signaling pathways and cell interactions associated with disease pathology.

This study shows the G2019S LRRK2 mutation alters transcriptomes of myeloid cells under proinflammatory conditions, affecting lipid metabolism and phagocytic function.

This study integrates multi-omics data from aged human brains to identify cross-system biological factors and molecular subtypes associated with Alzheimer's disease heterogeneity.

The paper identifies cell type-specific gene modules associated with Alzheimer's Disease traits using snRNASeq data from human brain tissues.

This study examines cytokine gene expression in human brain tissue from elderly individuals with and without Alzheimer's disease to identify biomarkers and understand disease mechanisms.

This paper develops an APOE-independent polygenic risk score for Alzheimer's disease that shows associations with cognitive decline and neuropathological markers across diverse populations.

The paper characterizes the human microglia responsome by analyzing gene expression in microglia exposed to various stimuli, identifying distinct responses and genetic interactions relevant to disease.

The paper evaluates the AICS-0090 dCas9-KRAB iPSC line for modeling microglia-like cells and their responses to disease-relevant stimuli, finding stimulus-specific transcriptomic and functional responses.

The paper defines cognitive resilience as differential cognitive decline rates after adjusting for neuropathologies, develops a framework to quantify it using molecular signatures from post-mortem brain data, and translates these findings to living individuals.

This paper introduces a computational pipeline for genotyping TOMM40 poly-T polymorphisms from whole-genome sequencing data, achieving high accuracy and consistency with PCR-based genotypes.

The paper uses spatial transcriptomics to analyze Aβ plaques and glial interactions in AD brains, finding that low Aβ areas show more neuronal loss and high-glia areas show inflammation and neurodegeneration.

This study translates post-mortem brain multi-omics AD dementia subtypes into blood, MRI, and psychological markers in living individuals.

The paper investigates structural variants (SVs) in AD/ADRD traits using whole genome sequencing data from two cohort studies, identifying SVs linked to disease phenotypes and suggesting new risk loci.

The paper identifies AD-associated lncRNAs with spatial and cell-type-specific expression patterns and shows OIP5-AS1 contributes to microglial activation in AD.

The paper identifies transcriptomic changes in monocytes from GBA mutation carriers with Parkinson's disease, highlighting dysregulated pathways related to alpha-synuclein degradation and lysosomal function.

The paper identifies structural variants in the human brain and their associations with molecular traits and neurodegenerative diseases.

The paper analyzes the transcriptome of human microglia across brain regions, aging, and disease to identify genetic effects on gene expression and splicing, linking them to neurological disorders.

This study identifies JADE1 as a novel genetic factor in tauopathy through genome-wide association and functional validation in human and Drosophila models.

The paper identifies discordant mitochondrial gene expression patterns in PD monocytes and microglia, revealing distinct transcriptomic alterations in these myeloid cell types.

RAFTS3G is a clustering tool for protein datasets that is faster than CD-HIT and better at detecting low-similarity homology.

RAFTS3 is a fast alignment-free tool for protein sequence similarity search, outperforming BLASTp in speed with minimal sensitivity loss.