Arpiar B. Saunders

The paper introduces a framework for designing and assembling combinatorial DNA barcodes for probe-based genomics, demonstrating their use in decoding complex RNA expression in mouse brains.

This study maps early postnatal DNA methylation dynamics in the mouse brain, revealing subtype-specific methylation changes and their disruption in Rett syndrome.

This study identifies the Retromer complex as a key mediator of MOR recycling via the LENL motif, preventing opioid-induced downregulation.

The paper analyzes transcriptomic diversity in amygdalar subdivisions across humans and nonhuman primates using single-nucleus RNA sequencing and identifies distinct neuronal subtypes and transcriptional specializations.

The paper investigates how rabies virus interacts with different human brain cell types, identifying a pro-viral astrocyte subpopulation that enhances viral transcription.

AnnSQL provides a fast, resource-efficient SQL-based tool for analyzing large single-cell RNA-seq datasets, achieving significant speed improvements over traditional methods.

The paper introduces SBARRO, a method that maps synaptic connections and RNA expression in neurons using barcoded rabies virus and single-cell RNA sequencing, revealing cell-type-specific synaptic networks in mouse brain cells.

The paper profiles interneurons in primates and rodents to identify evolutionary innovations in brain cell types and their molecular features.

The paper identifies that cortical ChAT+ neurons co-transmit acetylcholine and GABA in a target- and brain-region specific manner, revealing heterogeneity in their function and connectivity.

This study identifies nine distinct microglial states in mice across lifespan and after injury using single-cell RNA sequencing, revealing persistent and age-related changes.

The paper identifies VIP/ChAT interneurons as a local source of cortical ACh and shows they co-transmit ACh and GABA to specific post-synaptic targets.

This paper constructs a single-cell atlas of the adult mouse brain, identifying 565 transcriptionally distinct cell groups and revealing new insights into neuronal specialization and brain organization.

The paper uses gene expression data and GWAS summary statistics to identify disease-relevant tissues and cell types by detecting heritability enrichments in gene-specific expression regions.