Charles R. Vanderburg

This paper introduces a standards framework for integrating single-cell and spatial omics data into brain cell atlases, enabling interoperable and reusable knowledge-ready resources.

The paper analyzes single-nucleus RNA-seq data from the human striatum and prefrontal cortex to study inter-individual variation in cell abundances and gene expression, finding age-related changes and genetic associations.

The paper maps a mesoscale molecular architecture of the human striatum across cell types and age, revealing zonal differences in gene expression and aging effects.

The paper identifies a Purkinje cell to parabrachial nucleus pathway that enables cerebellar influence over forebrain regions involved in nonmotor functions, distinct from the traditional deep cerebellar nuclei pathway.

The paper identifies a transient hyperactive neuronal state in early Alzheimer's disease using single-nucleus transcriptomics from living patients.

The paper maps antisense oligonucleotide activity in the brain using single-cell transcriptomics in mice and macaques, showing widespread target suppression across cell types with varying durations.

Slide-tags enables spatial localization of single nuclei for multi-modal spatial genomics, achieving high-resolution mapping and multiomic profiling in various tissues.

Whole-brain snRNA-seq paired with Slide-seq assigns cell types to each mouse neuroanatomical structure; most clusters need at least three markers to be defined uniquely.

The paper shows enzymatic dissociation causes gene expression changes in microglia and proposes a protocol to reduce these artifacts in scRNA-seq.

The paper introduces Tangram, a method that aligns single-nucleus RNA-seq data with spatial data to create an anatomically integrated spatial map of the mouse brain.

The paper creates a comprehensive atlas of mouse primary motor cortex cell types using integrated transcriptomic and epigenomic data from over 600,000 samples.

The paper identifies ten distinct midbrain dopaminergic neuron populations in Parkinson's disease, highlighting an AGTR1-expressing subtype vulnerable to degeneration and associated with PD risk genes.

The paper identifies miR-2392 as a miRNA involved in SARS-CoV-2 infection, showing its role in inflammation, glycolysis, and hypoxia, and develops a miRNA-based therapeutic targeting it.

This study creates a transcriptomic atlas of the mouse cerebellum, identifying regional specializations and novel cell types, including two distinct molecular layer interneuron subtypes.

Slide-seq measures genome-wide expression in complex tissues at 10-micron resolution.

The paper introduces LIGER, an algorithm for integrating single-cell genomic data to analyze cell-type similarities and differences across species and contexts.