ArticleProtein & cell2016
Coupled electrophysiological recording and single cell transcriptome analyses revealed molecular mechanisms underlying neuronal maturation.
Article in Protein & cell, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed, 42 citations in OpenAlex.
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- Multimodal Nature of the Single-cell Primate Brain Atlas: Morphology, Transcriptome, Electrophysiology, and Connectivity.Neuroscience bulletin · 2024Review
- Integrating single-cell transcriptomics with cellular phenotypes: cell morphology, CaBiophysical reviews · 2024Review
- Patch-seq: Advances and Biological Applications.Cellular and molecular neurobiology · 2023Review
- CAJAL enables analysis and integration of single-cell morphological data using metric geometry.Nature communications · 2023Article
- Vesicular Glutamate Release from Feeder-FreehiPSC-Derived Neurons.International journal of molecular sciences · 2022Article
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- Deafness-in-a-dish: modeling hereditary deafness with inner ear organoids.Human genetics · 2022Review
- Midbrain organoids mimic early embryonic neurodevelopment and recapitulate LRRK2-p.Gly2019Ser-associated gene expression.American journal of human genetics · 2022Article
- Patch-to-Seq and Transcriptomic Analyses Yield Molecular Markers of Functionally Distinct Brainstem Serotonin Neurons.Frontiers in synaptic neuroscience · 2022Article
- Advancements in the Quest to Map, Monitor, and Manipulate Neural Circuitry.Frontiers in neural circuits · 2022Review
- Elucidating transcriptomic profiles from single-cell RNA sequencing data using nature-inspired compressed sensing.Briefings in bioinformatics · 2021Article
- Graded and pan-neural disease phenotypes of Rett Syndrome linked with dosage of functional MeCP2.Protein & cell · 2021Article
- Current State-of-the-Art and Unresolved Problems in Using Human Induced Pluripotent Stem Cell-Derived Dopamine Neurons for Parkinson's Disease Drug Development.International journal of molecular sciences · 2021Review
- Patch-seq: Past, Present, and Future.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Review
- Astrocyte deletion of α2-Na/K ATPase triggers episodic motor paralysis in mice via a metabolic pathway.Nature communications · 2020Article
- Integrative analysis of in vivo recording with single-cell RNA-seq data reveals molecular properties of light-sensitive neurons in mouse V1.Protein & cell · 2020Article
- Progress of Induced Pluripotent Stem Cell Technologies to Understand Genetic Epilepsy.International journal of molecular sciences · 2020Review
- Electrophysiological Analysis of Brain Organoids: Current Approaches and Advancements.Frontiers in neuroscience · 2020Review
- Single Cell Gene Co-Expression Network Reveals FECH/CROT Signature as a Prognostic Marker.Cells · 2019Article
Corrections and comments
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Authors and funding
12 authors at 3 institutions in 2 countries.
Funding
Abstract
The mammalian brain is heterogeneous, containing billions of neurons and trillions of synapses forming various neural circuitries, through which sense, movement, thought, and emotion arise. The cellular heterogeneity of the brain has made it difficult to study the molecular logic of neural circuitry wiring, pruning, activation, and plasticity, until recently, transcriptome analyses with single cell resolution makes decoding of gene regulatory networks underlying aforementioned circuitry properties possible. Here we report success in performing both electrophysiological and whole-genome transcriptome analyses on single human neurons in culture. Using Weighted Gene Coexpression Network Analyses (WGCNA), we identified gene clusters highly correlated with neuronal maturation judged by electrophysiological characteristics. A tight link between neuronal maturation and genes involved in ubiquitination and mitochondrial function was revealed. Moreover, we identified a list of candidate genes, which could potentially serve as biomarkers for neuronal maturation. Coupled electrophysiological recording and single cell transcriptome analysis will serve as powerful tools in the future to unveil molecular logics for neural circuitry functions.
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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.