ArticleNature neuroscience2018
Transcriptomic and morphophysiological evidence for a specialized human cortical GABAergic cell type.
Article in Nature neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 169 papers.
What it found
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Who cites it
169 citing papers in PubMed, 317 citations in OpenAlex.
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- Modeling pediatric brain tumors with human stem cells.Frontiers in cellular neuroscience · 2026Review
- Local co-expression of GLP1R and INS in human cortical interneurons.Frontiers in endocrinology · 2026Article
- Holographic transcranial ultrasound neuromodulation enhances stimulation efficacy by cooperatively recruiting distributed brain circuits.Nature biomedical engineering · 2026Article
- Adaptations of the axon initial segment in fast-spiking interneurons of the human neocortex support low action potential thresholds.PLoS biology · 2025Article
- Co-Conservation of synaptic gene expression and circuitry in collicular neurons.Nature communications · 2025Article
- Mapping human brain cell type origin and diseases through single-cell transcriptomics.Translational psychiatry · 2025Review
109 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
34 authors at 5 institutions in 2 countries.
Funding
Abstract
We describe convergent evidence from transcriptomics, morphology, and physiology for a specialized GABAergic neuron subtype in human cortex. Using unbiased single-nucleus RNA sequencing, we identify ten GABAergic interneuron subtypes with combinatorial gene signatures in human cortical layer 1 and characterize a group of human interneurons with anatomical features never described in rodents, having large 'rosehip'-like axonal boutons and compact arborization. These rosehip cells show an immunohistochemical profile (GAD1
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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.