T. Grant Belgard

This study shows that traumatic brain injury shifts adult hippocampal neural stem cell fate toward neurogenesis and away from astrogliogenesis, using single-cell RNA sequencing and spatial transcriptomics.

The paper analyzes single-cell transcriptomics data from Parkinson's Disease patients and controls to identify cell type-specific molecular responses and pathways involved in neurodegeneration.

The paper introduces scCoExpNets and CovCoExpNets to analyze cell-type specific gene co-expression networks from single-cell RNA-seq data, identifying iron accumulation as a factor in dopaminergic neuron vulnerability in Parkinson's disease.

The paper shows that stronger systemic and liver immune responses improve liver cancer outcomes by reducing tumor burden and correlating with better survival.

The paper identifies widespread transcriptomic dysregulation across multiple cortical regions in ASD, showing regional variation and genetic enrichment in synaptic and protein folding genes.

This paper introduces BAGEA, a Bayesian framework for analyzing cis-eQTL data using genomic annotations, showing it can predict up to 5% of expression variance for top-effect genes.

The paper identifies molecularly distinct astrocyte subpopulations in the adult mouse brain and shows their spatial distribution has functional implications.

The paper identifies altered gene expression in microglial and neuronal markers in postmortem ASD cortex, suggesting changes in cell type density.