ReviewNature reviews. Neuroscience2017
Neuronal cell-type classification: challenges, opportunities and the path forward.
Review in Nature reviews. Neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 471 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
471 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Computational Tools for Neuronal Morphometric Analysis: A Systematic Search and Review.Neuroinformatics · 2024Pooled it
- Article
- Constructing mesoscale functionomics by neural dynamics subspace clustering.National science review · 2026Article
- Article
- Temporal Topology Provides an Interpretable Framework for Neuronal Morphogenesis.Neuroinformatics · 2026Article
- Cell-type-focused compound screen in human organoids reveals CK1 inhibition protects cone photoreceptors from death.Neuron · 2026Article
- Cluster replicability in single-cell and single-nucleus atlases of the mouse brain.Nature communications · 2026Article
- Corneal Innervation Research at a Crossroads: A Tool-Driven Roadmap for the Future.Investigative ophthalmology & visual science · 2026Review
- Cell-type-specific parallel pathways in the canonical cortical microcircuit.bioRxiv : the preprint server for biology · 2026Article
- Multimodal analysis reveals cellular diversity and divergent circuits of the zona incerta.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- PTEN regulates starburst amacrine cell dendrite morphology during development.Development (Cambridge, England) · 2026Article
- The Cell Ontology in the age of single-cell omics.Scientific data · 2026Article
- SegAnyNeuron: a neural image segmentation network with strong generalization performance by modeling image intensity variation.Brain informatics · 2026Article
- Molecular and functional dissection using CaMPARI-seq reveals the neuronal organization for dissociating optic flow-dependent behaviors.Nature communications · 2026Article
- A Community Standard Multispecies Cell Atlas of the Basal Ganglia.bioRxiv : the preprint server for biology · 2026Article
- Little Known Facts, Controversies and Misconceptions About Cranial Motor Nuclei (and a New Classification for All Motoneurons, Cranial, and Spinal).The Journal of comparative neurology · 2026Review
- Multimodal characterization of transcriptionally defined ventral tegmental area dopamine neurons.bioRxiv : the preprint server for biology · 2026Article
- Somatic mutation in human cerebellum illustrates neuron type-specific patterns of age-related mutation.bioRxiv : the preprint server for biology · 2026Article
- Cell body clustering drives gap junction-mediated synchronous activity in command neurons.bioRxiv : the preprint server for biology · 2026Article
- A High-Resolution Transcriptomic Atlas of Cell Types in the Ventral Visual Thalamus.Journal of neurochemistry · 2026Article
411 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Neurons have diverse molecular, morphological, connectional and functional properties. We believe that the only realistic way to manage this complexity - and thereby pave the way for understanding the structure, function and development of brain circuits - is to group neurons into types, which can then be analysed systematically and reproducibly. However, neuronal classification has been challenging both technically and conceptually. New high-throughput methods have created opportunities to address the technical challenges associated with neuronal classification by collecting comprehensive information about individual cells. Nonetheless, conceptual difficulties persist. Borrowing from the field of species taxonomy, we propose principles to be followed in the cell-type classification effort, including the incorporation of multiple, quantitative features as criteria, the use of discontinuous variation to define types and the creation of a hierarchical system to represent relationships between cells. We review the progress of classifying cell types in the retina and cerebral cortex and propose a staged approach for moving forward with a systematic cell-type classification in the nervous system.
Indexed as
Identifiers
28775344What 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.