ReviewCurrent opinion in neurobiology2017
Cerebral cortical neuron diversity and development at single-cell resolution.
Review in Current opinion in neurobiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 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
33 citing papers in PubMed.
- Gestational Hypoxia Disrupts Medial Ganglionic Eminence Progenitor Dynamics and Interneuron Development in Schizophrenia.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- HIDF: Integrating Tree-Structured scRNA-seq Heterogeneity for Hierarchical Deconvolution of Spatial Transcriptomics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Multimodal analyses reveal genes driving electrophysiological maturation of neurons in the primate prefrontal cortex.Neuron · 2025Article
- Norepinephrine links astrocytic activity to regulation of cortical state.Nature neuroscience · 2023Article
- TMEM161B regulates cerebral cortical gyration, Sonic Hedgehog signaling, and ciliary structure in the developing central nervous system.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Temporal and sequential transcriptional dynamics define lineage shifts in corticogenesis.The EMBO journal · 2022Article
- Single cell RNA-seq analysis reveals temporally-regulated and quiescence-regulated gene expression in Drosophila larval neuroblasts.Neural development · 2022Article
- Exploring the Origin and Physiological Significance of DNA Double Strand Breaks in the Developing Neuroretina.International journal of molecular sciences · 2022Review
- Evolutionarily conservative and non-conservative regulatory networks during primate interneuron development revealed by single-cell RNA and ATAC sequencing.Cell research · 2022Article
- Review
- hsa-miR-518-5p/hsa-miR-3135b Regulates the REL/SOD2 Pathway in Ischemic Cerebral Infarction.Frontiers in neurology · 2022Article
- Article
- Micro- and Nano-Devices for Studying Subcellular Biology.Small (Weinheim an der Bergstrasse, Germany) · 2021Review
- Automatic cell type identification methods for single-cell RNA sequencing.Computational and structural biotechnology journal · 2021Review
- Lessons from single cell sequencing in CNS cell specification and function.Current opinion in genetics & development · 2020Review
- Translating neural stem cells to neurons in the mammalian brain.Cell death and differentiation · 2019Review
- Perspectives on defining cell types in the brain.Current opinion in neurobiology · 2019Review
- Detection and Quantification of Multiple RNA Sequences Using Emerging Ultrasensitive Fluorescent In Situ Hybridization Techniques.Current protocols in neuroscience · 2019Article
- Liquid biopsy: one cell at a time.NPJ precision oncology · 2019Review
- Cell type discovery using single-cell transcriptomics: implications for ontological representation.Human molecular genetics · 2018Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Over a century of efforts to categorize the astonishing diversity of cortical neurons has relied on criteria of morphology, electrophysiology, ontology, and the expression of a few transcripts and proteins. The rapid development of single-cell RNA sequencing (scRNA-seq) adds genome-wide gene expression patterns to this list of criteria, and promises to reveal new insights into the transitions that establish neuronal identity during development, differentiation, activity, and disease. Comparing single neuron data to reference atlases constructed from hundreds of thousands of single-cell transcriptomes will be critical to understanding these transitions and the molecular mechanisms that drive them. We review early efforts, and discuss future challenges and opportunities, in applying scRNA-seq to the elucidation of neuronal subtypes and their development.
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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.