ReviewNature neuroscience2020
A community-based transcriptomics classification and nomenclature of neocortical cell types.
Review in Nature neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 149 papers.
What it found
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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.
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
149 citing papers in PubMed, 25 citations in OpenAlex.
- The misplaced mouse Pax6 interneuron subclass: A cross-species transcriptomic reassignment.iScience · 2026Article
- Neocortical pyramidal cells with axon-carrying basal dendrites: a prominent feature regulated by activity.Brain structure & function · 2026Article
- A massively parallel CRISPR-based screening platform for modifiers of neuronal depolarization.Nature communications · 2026Article
- Interspecific diversity in the neuronal composition of the mammalian cortex arises from heterochrony in neurogenesis.The EMBO journal · 2026Article
- Intrinsic neuronal diversity as a substrate for cortical area specialization in primate vision.Nature communications · 2026Article
- Cortical PV and VIP interneurons similarly influence SST neuron output despite distinct unitary properties.Communications biology · 2026Article
- A Community Standard Multispecies Cell Atlas of the Basal Ganglia.bioRxiv : the preprint server for biology · 2026Article
- Multimodal characterization of transcriptionally defined ventral tegmental area dopamine neurons.bioRxiv : the preprint server for biology · 2026Article
- Article
- Prefrontal cortex interneurons and their contributions to attention, working memory, and adaptive behavior.Progress in neurobiology · 2026Review
- Transport-related effects on intrinsic and synaptic properties of human cortical neurons: A comparative study.The Journal of physiology · 2026Article
- Decoding Alzheimer's Disease One Cell Class at a Time.Cellular and molecular neurobiology · 2026Review
- From the brain cell atlas to precision neurology: a review of the application of AI-driven multi-omics in brain science.GigaScience · 2026Review
- Identity crisis: exploring the boundaries of cell type identification in the age of single-cell transcriptomics.Frontiers in cellular neuroscience · 2026Article
- Single-dose psilocybin promotes cell-type-specific changes of neurons in the orbitofrontal cortex.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2026Article
- Synthetic Data Generation for Classifying Electrophysiological and Morpho-Electrophysiological Neurons from Mouse Visual Cortex.Neuroinformatics · 2025Article
- Neuron-specific homologous coding genes and non-coding regulatory regions are the most conserved amongst amniotes despite neuron-specific cell size diversity.Scientific reports · 2025Article
- Article
- A consensus definition for deep layer 6 excitatory neurons in mouse somatosensory, visual, and motor cortex.Cell reports · 2025Article
- Functional thalamocortical innervation of VIP- and SST-expressing GABAergic interneurons in mouse barrel cortex.iScience · 2025Article
89 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
- Erratum issued
Authors and funding
73 authors at 20 institutions in 15 countries.
Funding
Abstract
To understand the function of cortical circuits, it is necessary to catalog their cellular diversity. Past attempts to do so using anatomical, physiological or molecular features of cortical cells have not resulted in a unified taxonomy of neuronal or glial cell types, partly due to limited data. Single-cell transcriptomics is enabling, for the first time, systematic high-throughput measurements of cortical cells and generation of datasets that hold the promise of being complete, accurate and permanent. Statistical analyses of these data reveal clusters that often correspond to cell types previously defined by morphological or physiological criteria and that appear conserved across cortical areas and species. To capitalize on these new methods, we propose the adoption of a transcriptome-based taxonomy of cell types for mammalian neocortex. This classification should be hierarchical and use a standardized nomenclature. It should be based on a probabilistic definition of a cell type and incorporate data from different approaches, developmental stages and species. A community-based classification and data aggregation model, such as a knowledge graph, could provide a common foundation for the study of cortical circuits. This community-based classification, nomenclature and data aggregation could serve as an example for cell type atlases in other parts of the body.
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What OpenQuestion holds
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.