ArticleScience (New York, N.Y.)2023
Interindividual variation in human cortical cell type abundance and expression.
Article in Science (New York, N.Y.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
38 citing papers in PubMed.
- The misplaced mouse Pax6 interneuron subclass: A cross-species transcriptomic reassignment.iScience · 2026Article
- Single-cell transcriptomics of human brain disorders.Molecular psychiatry · 2026Review
- Donor-specific, but not sex-specific, signatures dominate cell-type classification in lung scRNA-seq data.Biochemistry and biophysics reports · 2026Article
- A framework for comparative analysis of human and mouse cortical neuron dendrites in corresponding brain regions.Nature neuroscience · 2026Article
- Article
- Regional specialization of upper-layer inhibitory interneuron organization in the human prefrontal cortex.Journal of anatomy · 2026Article
- Human genetics across levels of biological organization.Nature reviews. Genetics · 2026Review
- Deciphering cell type-specific causal genetic effects on brain imaging-derived phenotypes and disorders with single-cell Mendelian randomization.PLoS computational biology · 2026Article
- Region-specific transcriptional signatures of brain aging in the absence of neuropathology at the single-cell level.npj aging · 2026Article
- Organization of neuropeptide systems in the human brain.Nature neuroscience · 2026Article
- Spatial transcriptomics in epilepsy research: Early successes, opportunities, and challenges.Epilepsia · 2026Article
- Electrophysiological classification of human layer 2-3 pyramidal neurons reveals subtype-specific synaptic interactions.Nature neuroscience · 2026Article
- Single-cell, multi-region profiling of the macaque brain across the lifespan.bioRxiv : the preprint server for biology · 2025Article
- Mapping human brain cell type origin and diseases through single-cell transcriptomics.Translational psychiatry · 2025Review
- Precision and Accuracy in Quantitative Measurement of Gene Expression from Single-cell/nucleus RNA Sequencing Data.Genomics, proteomics & bioinformatics · 2025Article
- Charting the spatial transcriptome of the human cerebral cortex at single-cell resolution.Nature communications · 2025Article
- Specification of human brain regions with orthogonal gradients of WNT and SHH in organoids reveals patterning variations across cell lines.Cell stem cell · 2025Article
- Integrating single-cell data with biological variables.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Advances and applications in single-cell and spatial genomics.Science China. Life sciences · 2025Review
- Multimodal single-cell analyses reveal molecular markers of neuronal senescence in human drug-resistant epilepsy.The Journal of clinical investigation · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
30 authors.
Funding
Abstract
Single-cell transcriptomic studies have identified a conserved set of neocortical cell types from small postmortem cohorts. We extended these efforts by assessing cell type variation across 75 adult individuals undergoing epilepsy and tumor surgeries. Nearly all nuclei map to one of 125 robust cell types identified in the middle temporal gyrus. However, we found interindividual variance in abundances and gene expression signatures, particularly in deep-layer glutamatergic neurons and microglia. A minority of donor variance is explainable by age, sex, ancestry, disease state, and cell state. Genomic variation was associated with expression of 150 to 250 genes for most cell types. This characterization of cellular variation provides a baseline for cell typing in health and disease.
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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.