ArticleNature communications2016
Nuclear RNA-seq of single neurons reveals molecular signatures of activation.
Article in Nature communications, 2016. 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 259 papers, 1 of them a synthesis 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.
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
259 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Guidelines for bioinformatics of single-cell sequencing data analysis in Alzheimer's disease: review, recommendation, implementation and application.Molecular neurodegeneration · 2022Pooled it
- Pan-Fibrotic Gene Expression Signature in Major Chronic Diseases by Integrative Bulk and Single-Cell Transcriptomic Analyses.International journal of molecular sciences · 2026Article
- Strong connections of locally clustered neurons in the upper-layer cortex underlie schizophrenia-related auditory deviance detection.Science advances · 2026Article
- Microglial sTREM2 limits dyskinesia and acts on TrkB to support circuit plasticity.bioRxiv : the preprint server for biology · 2026Article
- Region- and cell type-specific changes in gene expression in the cerebellum after classical fear conditioning.Communications biology · 2026Article
- Article
- Comparative analysis of nuclei isolation methods for brain single-nucleus RNA sequencing.Cell reports methods · 2026Article
- Adult neurogenesis: New neurons, new opportunities.Cell stem cell · 2026Review
- A multimodal spatial atlas of transcriptomic, morphological, and electrophysiological cell type densities in the mouse brain.PLoS computational biology · 2026Article
- A High-Resolution Transcriptomic Atlas of Cell Types in the Ventral Visual Thalamus.Journal of neurochemistry · 2026Article
- Spatial mapping of RNA turnover kinetics and regulatory landscapes of mRNA stability in the mammalian brain.bioRxiv : the preprint server for biology · 2026Article
- Single-cell transcriptomic insights into the intrinsic cardiac nervous system: diversity, development, and neuro-cardiac interactions.Frontiers in genetics · 2026Review
- Benign Uroandrological Ecosystem: A Thorough Overview from Single-Cell and Spatial Transcriptomics.Research (Washington, D.C.) · 2026Review
- Transcriptomic signatures of hippocampal active place avoidance memory maintenance.Frontiers in cellular neuroscience · 2026Article
- The tumor microenvironment of medulloblastoma: from emerging biological insights to novel therapeutic targeting.Frontiers in oncology · 2026Review
- Methodologies for Sample Multiplexing and Computational Deconvolution in Single-Cell Sequencing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Single-Cell and Spatial Multi-Omics in Small-Intestinal Homeostasis and Ischemia/Reperfusion Injury: Current Advances, Applications, and Future Perspectives.Journal of inflammation research · 2026Review
- Conserved spatial patterning of gene expression in independent lineages of CThe New phytologist · 2026Article
- Understanding and Advancing Wound Healing in the Era of Multi-Omic Technology.Bioengineering (Basel, Switzerland) · 2025Review
- Article
199 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
- Erratum issued
Authors and funding
18 authors.
Funding
Abstract
Single-cell sequencing methods have emerged as powerful tools for identification of heterogeneous cell types within defined brain regions. Application of single-cell techniques to study the transcriptome of activated neurons can offer insight into molecular dynamics associated with differential neuronal responses to a given experience. Through evaluation of common whole-cell and single-nuclei RNA-sequencing (snRNA-seq) methods, here we show that snRNA-seq faithfully recapitulates transcriptional patterns associated with experience-driven induction of activity, including immediate early genes (IEGs) such as Fos, Arc and Egr1. SnRNA-seq of mouse dentate granule cells reveals large-scale changes in the activated neuronal transcriptome after brief novel environment exposure, including induction of MAPK pathway genes. In addition, we observe a continuum of activation states, revealing a pseudotemporal pattern of activation from gene expression alone. In summary, snRNA-seq of activated neurons enables the examination of gene expression beyond IEGs, allowing for novel insights into neuronal activation patterns in vivo.
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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.