ArticleMolecular psychiatry2016
Predicting the functional states of human iPSC-derived neurons with single-cell RNA-seq and electrophysiology.
Article in Molecular psychiatry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 110 papers.
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Who cites it
110 citing papers in PubMed.
- Drug screen and machine learning predict neuroprotective agents in a preclinical human model of childhood dementia.Nature communications · 2026Article
- Aberrant calcium signaling and neuronal activity in the L271H CACNA1D (Cav1.3) iPSC model of neurodevelopmental disease.Molecular psychiatry · 2026Article
- Modelling synaptic dysfunction in childhood dementia using human iPSC-derived cortical networks.Nature communications · 2026Article
- Underrecognition of Autism and Implications for Adult Psychiatric Practice: A Narrative Review.Cureus · 2026Review
- Unraveling the Morphological and Functional Maturation Mechanisms Underlying Human Neural Development Using iPSCs-Derived Neuronal Model.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Context-tuned strategies for marker selection precision in neuronal studies.Frontiers in neuroscience · 2026Review
- Functional implications of atypical action potential generation in the (patho)physiological brain: from developmental program to glioma.Frontiers in neural circuits · 2026Review
- Cortical organoid-derived models of the melanoma brain metastatic niche enable prioritization of cancer-targeting drugs.Cell reports methods · 2025Article
- Co-cultured sensory neuron classification using extracellular electrophysiology and machine learning approaches for enhancing analgesic screening.Journal of neural engineering · 2025Article
- Molecular and developmental deficits in Smith-Magenis syndrome human stem cell-derived cortical neural models.American journal of human genetics · 2025Article
- Axonal tau reduction ameliorates tau and amyloid pathology in a mouse model of Alzheimer's disease.Translational neurodegeneration · 2025Article
- Pulsed electromagnetic stimulation promotes neuronal maturation by up-regulating cholesterol biosynthesis.Stem cell research & therapy · 2025Article
- Identification and Mapping of Human Lymph Node Stromal Cell Subsets by Combining Single-Cell RNA Sequencing with Spatial Transcriptomics.European journal of immunology · 2025Article
- Modelling human brain development and disease with organoids.Nature reviews. Molecular cell biology · 2025Review
- Dysregulation of miRNA expression and excitation in MEF2C autism patient hiPSC-neurons and cerebral organoids.Molecular psychiatry · 2025Article
- Neuromuscular dysfunction in patient-derived FUSNAR molecular medicine · 2025Article
- Mitochondrial dysfunction drives a neuronal exhaustion phenotype in methylmalonic aciduria.Communications biology · 2025Article
- Rab3B Proteins: Cellular Functions, Regulatory Mechanisms, and Potential as a Cancer Therapy Target.Cell biochemistry and biophysics · 2025Review
- GABAergic synaptic components are largely preserved across human and mouse neuronal models.Frontiers in cellular neuroscience · 2025Article
- Astrocytes contribute to toll-like receptor 2-mediated neurodegeneration and alpha-synuclein pathology in a human midbrain Parkinson's model.Translational neurodegeneration · 2024Article
50 more citing papers are in PubMed but not listed here.
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Authors and funding
19 authors.
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Abstract
Human neural progenitors derived from pluripotent stem cells develop into electrophysiologically active neurons at heterogeneous rates, which can confound disease-relevant discoveries in neurology and psychiatry. By combining patch clamping, morphological and transcriptome analysis on single-human neurons in vitro, we defined a continuum of poor to highly functional electrophysiological states of differentiated neurons. The strong correlations between action potentials, synaptic activity, dendritic complexity and gene expression highlight the importance of methods for isolating functionally comparable neurons for in vitro investigations of brain disorders. Although whole-cell electrophysiology is the gold standard for functional evaluation, it often lacks the scalability required for disease modeling studies. Here, we demonstrate a multimodal machine-learning strategy to identify new molecular features that predict the physiological states of single neurons, independently of the time spent in vitro. As further proof of concept, we selected one of the potential neurophysiological biomarkers identified in this study-GDAP1L1-to isolate highly functional live human neurons in vitro.
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