ArticleScientific data2025
Population-scale cross-disorder atlas of the human prefrontal cortex at single-cell resolution.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
16 citing papers in PubMed.
- Single-nucleus atlas of cell-type specific genetic regulation in the human brain.Nature genetics · 2026Article
- A single-nuclei multiomics resource across four brain regions prioritises human neural cell types influencing brain-related traits.bioRxiv : the preprint server for biology · 2026Article
- Personalized single-cell transcriptomics reveals molecular diversity in Alzheimer's disease.Nature communications · 2026Article
- AI-based characterization of Alzheimer's disease phenotypes from population-scale single-cell data.Nature medicine · 2026Article
- Article
- Are different populations fairly represented in single-cell omic atlases?Cell genomics · 2026Review
- SECmeres outperform extracellular vesicles as potential blood RNA biomarkers for Alzheimer's disease.Nature communications · 2026Article
- Postmortem brain single-nucleus and bulk gene expression analyses identify shared and distinct abnormalities in bipolar disorder and major depressive disorder.Translational psychiatry · 2026Article
- Are Different Populations Fairly Represented in Single-Cell Omic Atlases?bioRxiv : the preprint server for biology · 2026Article
- Gene regulatory programs of cognitive resilience and pathogenesis in Alzheimer's disease.medRxiv : the preprint server for health sciences · 2026Article
- Single-nucleus multiome analysis in the human prefrontal cortex identifies gene expression and cis-regulatory elements associated with aging.Cell reports · 2026Article
- Article
- Review
- A lifespan transcriptomic atlas of the human prefrontal cortex at single-cell resolution.medRxiv : the preprint server for health sciences · 2025Article
- A Transcriptomic Roadmap of Parkinson's Disease Progression at Single Cell Resolution.medRxiv : the preprint server for health sciences · 2025Article
- Single-cell atlas of transcriptomic vulnerability across multiple neurodegenerative and neuropsychiatric diseases.medRxiv : the preprint server for health sciences · 2024Article
Corrections and comments
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Authors and funding
24 authors.
Funding
Abstract
Neurodegenerative diseases and serious mental illnesses often exhibit overlapping characteristics, highlighting the potential for shared underlying mechanisms. To facilitate a deeper understanding of these diseases and pave the way for more effective treatments, we have generated a population-scale multi-omics dataset consisting of genotype and single-nucleus transcriptome data from the prefrontal cortex of frozen human brain specimens. Encompassing over 6.3 million nuclei from 1,494 donors, our dataset represents a diverse range of neurodegenerative and serious mental illnesses, including Alzheimer's and Parkinson's diseases, schizophrenia, bipolar disorder and diffuse Lewy body dementia, as well as neurotypical controls. Our dataset offers a unique opportunity to study disease interactions, as 21% of donors had comorbid diagnoses of two or more major brain disorders. Additionally, it includes detailed phenotypic information on neuropsychiatric symptoms, such as apathy and weight loss, which commonly accompany Alzheimer's disease and related dementias. We have performed stringent preprocessing and quality controls, ensuring the reliability and usability of the data. As a commitment to fostering collaborative research, we provide this valuable resource as an online repository, enabling widespread analyses across the scientific community.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.