ReviewNature neuroscience2024
Opportunities and challenges of single-cell and spatially resolved genomics methods for neuroscience discovery.
Review in Nature neuroscience, 2024. 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 23 papers.
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
23 citing papers in PubMed.
- A single-nuclei multiomics resource across four brain regions prioritises human neural cell types influencing brain-related traits.bioRxiv : the preprint server for biology · 2026Article
- Type-I IFNs in EAE drive synaptic transcriptional responses in neurons and astrocytes in the brain.bioRxiv : the preprint server for biology · 2026Article
- Real-time, cross-modal genotype mapping of free-movingScience advances · 2026Article
- STcompare: comparative spatial transcriptomics data analysis of structurally matched tissues to characterize differentially spatially patterned genes.Bioinformatics (Oxford, England) · 2026Article
- Single-Cell Annotation and Localization via Integrating Spatial Transcriptomics Maps the Mouse Ocular Atlas and RAO Dynamics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- A Hierarchical Multimodal Knowledge Graph for Neural Cell-Type-Specific Regulation Integrating Single-Cell Transcriptomics and Literature Evidence.International journal of molecular sciences · 2026Article
- Innate immune signaling and functions in astrocytes.Nature immunology · 2026Review
- A comparative transcriptomic analysis of mouse demyelination models and multiple sclerosis lesions.Nature communications · 2026Article
- Molecular dynamics of Brodmann Area 22 in development and autism.bioRxiv : the preprint server for biology · 2026Article
- The Future of Epigenetics: Emerging Technologies and Clinical Applications.ACS pharmacology & translational science · 2026Review
- High-parameter spatial multi-omics through histology-anchored integration.Nature methods · 2026Article
- Grand challenges for systems neuroscience: perspectives and opportunities.Frontiers in systems neuroscience · 2026Article
- Integrated Single-Cell and Bulk RNA Sequencing Reveals Inflammatory Microenvironment and Glycolysis-Driven Epithelial Proliferation in Benign Prostatic Hyperplasia.Journal of inflammation research · 2026Article
- Spatially Resolved Profiling of Compartmentalized Muscle and Brain Inflammation.European journal of immunology · 2025Review
- Review
- Review
- SpaTM: topic models for inferring spatially informed transcriptional programs.Briefings in bioinformatics · 2025Article
- Research progress of single cell RNA sequencing in nervous system.Molecular biology reports · 2025Review
- GASTON-Mix: a unified model of spatial gradients and domains using spatial mixture-of-experts.Bioinformatics (Oxford, England) · 2025Article
- Single-cell sequencing and transcriptomic data reveal that P65 activation significantly promotes microglia-mediated neuroinflammation after ischemic stroke.Scientific reports · 2025Article
Corrections and comments
- Erratum issued
Authors and funding
31 authors.
Funding
Abstract
Over the past decade, single-cell genomics technologies have allowed scalable profiling of cell-type-specific features, which has substantially increased our ability to study cellular diversity and transcriptional programs in heterogeneous tissues. Yet our understanding of mechanisms of gene regulation or the rules that govern interactions between cell types is still limited. The advent of new computational pipelines and technologies, such as single-cell epigenomics and spatially resolved transcriptomics, has created opportunities to explore two new axes of biological variation: cell-intrinsic regulation of cell states and expression programs and interactions between cells. Here, we summarize the most promising and robust technologies in these areas, discuss their strengths and limitations and discuss key computational approaches for analysis of these complex datasets. We highlight how data sharing and integration, documentation, visualization and benchmarking of results contribute to transparency, reproducibility, collaboration and democratization in neuroscience, and discuss needs and opportunities for future technology development and analysis.
Indexed as
Identifiers
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.