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J. Bendl

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Open access Sep 2026

Single-nucleus atlas of cell-type specific genetic regulation in the human brain

This high-resolution atlas of genetic regulation of gene expression in the human prefrontal cortex provides insight into the cell type-specific regulatory architecture of the human brain, and offers novel mechanistic targets for understanding the genetic basis of neuropsychiatric and neurodegenerative diseases.

B. Zeng, Hui Yang, Prashant N. M. et al. · 2 citations
Open access Sep 2026

Lifespan single-cell transcriptomic atlas of the human prefrontal cortex

A single-nucleus transcriptomic atlas spanning the human lifespan is used to show that the dorsolateral prefrontal cortex exhibits non-linear, cell-type-specific transcriptional trajectories characterized by dynamic remodelling during development, relative stability in midlife and selective molecular reactivation in la...

Hui Yang, Tereza Clarence, Madeline R. Scott et al. · 4 citations
Open access Nov 2024

Single-nucleus transcriptome-wide association study of human brain disorders

These findings provide a cell-type-resolved and ancestry-aware atlas of genetically regulated expression in the human prefrontal cortex and illustrate how single-nucleus transcriptomics can sharpen gene discovery and therapeutic target prioritization for complex brain disorders.

S. Venkatesh, Roman Kosoy, Zhen-Yi Wu et al. · 7 citations
Open access Sep 2026

Single-cell atlas of transcriptomic vulnerability across brain disorders

A population-scale single-cell transcriptomic atlas of the human dorsolateral prefrontal cortex provides a perspective of the transcriptomic landscape in neurodegenerative and neuropsychiatric disorders, and offers potential targets for therapeutic intervention.

Donghoon Lee, Mikaela Koutrouli, Nicolas Y. Masse et al. · 6 citations
#graph neural networks Open access Sep 2026

Personalized single-cell transcriptomics reveals molecular diversity in Alzheimer’s disease

A personalized functional genomics atlas for Alzheimer’s disease that uses knowledge-guided graph neural networks to analyze donor-level functional genomics, identify disease subpopulations and trajectories, and link genetic variants to gene regulation is summarized.

P. Chandrashekar, S. Alatkar, Noah Cohen Kalafut et al. · 1 citation
#graph neural networks Open access Sep 2026

AI-based characterization of Alzheimer's disease phenotypes from population-scale single-cell data.

The complexity of Alzheimer's disease (AD) manifests in diverse clinical phenotypes, including cognitive impairment and neuropsychiatric symptoms. However, the etiology of these phenotypes remains elusive. To address this, the PsychAD project generated a population-level single-nucleus RNA sequencing dataset comprising...

Chen-Feng He, Athan Z. Li, Kalpana Hanthanan Arachchilage et al. · 1 citation
Open access Jul 2026

Single-nucleus analysis of the adult human olfactory epithelium uncovers shared neurogenesis programs with the brain

It is shown that the adult olfactory epithelium recapitulates key transcriptional and regulatory programs of cortical neurogenesis, providing an accessible model for studying psychiatric disease-associated neurodevelopment.

Liting Song, J. Fullard, Claire Coleman et al. · 0 citations
Open access Aug 2026

Plasticity of human microglia and brain perivascular macrophages in aging and Alzheimer’s disease

It is shown that a disease-associated microglial subtype, characterized by elevated GPNMB expression and enriched for polygenic AD risk, expands with AD pathology and shows increased phagocytic activity, and MITF is identified as an upstream regulator required to maintain this microglial state.

Donghoon Lee, James M. Vicari, Christian Porras et al. · 1 citation

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