ArticleNature biotechnology2016
Integration of electrophysiological recordings with single-cell RNA-seq data identifies neuronal subtypes.
Article in Nature biotechnology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 229 papers.
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Who cites it
229 citing papers in PubMed, 422 citations in OpenAlex.
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- Transcriptomics Insights into Spinal Cord Injury for Therapy Development.International journal of molecular sciences · 2026Review
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- Morphoelectric Diversity and Specialization of Neuronal Cell Types in the Primate Striatum.bioRxiv : the preprint server for biology · 2026Article
- Correlative Imaging Platform Linking Taste Cell Function to Molecular Identity.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
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- HCN channels reveal conserved and divergent physiology in supragranular pyramidal neurons in primate species.Communications biology · 2026Article
- Synthetic Data Generation for Classifying Electrophysiological and Morpho-Electrophysiological Neurons from Mouse Visual Cortex.Neuroinformatics · 2025Article
- Tonic GABAScientific reports · 2025Article
- Scalable spatial single-cell transcriptomics and translatomics in 3D thick tissue blocks.Nature methods · 2025Article
- Neuronal identity is not static: An input-driven perspective.PLoS computational biology · 2025Article
- Review
169 more citing papers are in PubMed but not listed here.
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Authors and funding
8 authors at 3 institutions in 4 countries.
Funding
Abstract
Traditionally, neuroscientists have defined the identity of neurons by the cells' location, morphology, connectivity and excitability. However, the direct relationship between these parameters and the molecular phenotypes has remained largely unexplored. Here, we present a method for obtaining full transcriptome data from single neocortical pyramidal cells and interneurons after whole-cell patch-clamp recordings in mouse brain slices. In our approach, termed Patch-seq, a patch-clamp stimulus protocol is followed by the aspiration of the entire somatic compartment into the recording pipette, reverse transcription of RNA including addition of unique molecular identifiers, cDNA amplification, Illumina library preparation and sequencing. We show that Patch-seq reveals a close link between electrophysiological characteristics, responses to acute chemical challenges and RNA expression of neurotransmitter receptors and channels. Moreover, it distinguishes neuronal subpopulations that correspond to both well-established and, to our knowledge, hitherto undescribed neuronal subtypes. Our findings demonstrate the ability of Patch-seq to precisely map neuronal subtypes and predict their network contributions in the brain.
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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.