ReviewNature reviews. Neurology2023
Single-cell and spatial transcriptomics: deciphering brain complexity in health and disease.
Review in Nature reviews. Neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 191 papers, 3 of them syntheses that pooled it.
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.
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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
191 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Recent developments in omics studies and artificial intelligence in depression and suicide.Translational psychiatry · 2025Pooled it
- Variable expression ofProceedings of the National Academy of Sciences of the United States of America · 2024Pooled it
- Bibliometric and visual analysis of single-cell multiomics in neurodegenerative disease arrest studies.Frontiers in neurology · 2024Pooled it
- Novel cell markers with altered expression in brain aging and Alzheimer's disease: A review.IBRO neuroscience reports · 2026Article
- Why are some neurons spared in neurodegeneration? Cellular subtype identity maintenance as a candidate threshold-setting mechanism.PLoS biology · 2026Article
- Glial cells in neuropathic pain.Physiological reviews · 2026Review
- Artificial intelligence in biomarker discovery for diseases: diagnostic and therapeutic prospects.Signal transduction and targeted therapy · 2026Review
- Immune Evasion by Neurotropic Viruses: Molecular Strategies, Cellular Targets, and Consequences for CNS Infection.International journal of molecular sciences · 2026Review
- Review
- Epilepsy as a Multiscale Network Disorder: Integrating Precision Therapeutics and Emerging Experimental Platforms.Pharmaceutics · 2026Review
- Astrocytic lipid dysregulation as an early driver of neurodegeneration.Nature reviews. Neurology · 2026Review
- STAID: A Self-Refining Deep Learning Framework for Spatial Cell-Type Deconvolution with Biologically Informed Modeling.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- AI-Guided Long Non-Coding RNA Target Discovery for Precision Medicine: Integrating GWAS, Multi-Omics, Experimental Validation, and RNA Therapeutics.Biomedicines · 2026Review
- Protocol for the enrichment of endosteal and periosteal mesenchymal cells from murine bone for single-cell transcriptome analysis.STAR protocols · 2026Article
- Deciphering the Leading-Edge Spatiotemporal Microenvironment of Hepatocellular Carcinoma for Targeted Drug Discovery Using SpaPred.International journal of molecular sciences · 2026Article
- Excitation-inhibition imbalance underlies perioperative neurocognitive disorders: a single-nucleus transcriptomic perspective in mice hippocampus.Molecular psychiatry · 2026Article
- Single-cell long- and short-read transcriptomics sheds light on high-altitude adaptation in the porcine cerebral cortex.Translational psychiatry · 2026Article
- Single-cell and spatial omics reveals region-specific plasticity and therapeutic vulnerabilities in metastatic high-risk neuroblastoma.Science advances · 2026Article
- Molecular taxonomy and spatial organization define neuronal subtypes in the mouse inferior colliculus.iScience · 2026Article
- Advances in the Comprehensive Tree Shrew Brain Atlas.Biomolecules · 2026Review
131 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
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the past decade, single-cell technologies have proliferated and improved from their technically challenging beginnings to become common laboratory methods capable of determining the expression of thousands of genes in thousands of cells simultaneously. The field has progressed by taking the CNS as a primary research subject - the cellular complexity and multiplicity of neuronal cell types provide fertile ground for the increasing power of single-cell methods. Current single-cell RNA sequencing methods can quantify gene expression with sufficient accuracy to finely resolve even subtle differences between cell types and states, thus providing a great tool for studying the molecular and cellular repertoire of the CNS and its disorders. However, single-cell RNA sequencing requires the dissociation of tissue samples, which means that the interrelationships between cells are lost. Spatial transcriptomic methods bypass tissue dissociation and retain this spatial information, thereby allowing gene expression to be assessed across thousands of cells within the context of tissue structural organization. Here, we discuss how single-cell and spatially resolved transcriptomics have been contributing to unravelling the pathomechanisms underlying brain disorders. We focus on three areas where we feel these new technologies have provided particularly useful insights: selective neuronal vulnerability, neuroimmune dysfunction and cell-type-specific treatment response. We also discuss the limitations and future directions of single-cell and spatial RNA sequencing technologies.
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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.