ReviewMolecular and cellular neurosciences2016
Transcriptomics analysis of iPSC-derived neurons and modeling of neuropsychiatric disorders.
Review in Molecular and cellular neurosciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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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.
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Who cites it
22 citing papers in PubMed.
- From Serendipity to Precision: Integrating AI, Multi-Omics, and Human-Specific Models for Personalized Neuropsychiatric Care.Biomedicines · 2025Review
- A human stem cell-derived neuronal model of morphine exposure reflects brain dysregulation in opioid use disorder: Transcriptomic and epigenetic characterization of postmortem-derived iPSC neurons.Frontiers in psychiatry · 2023Article
- Disease-specific differences in gene expression, mitochondrial function and mitochondria-endoplasmic reticulum interactions in iPSC-derived cerebral organoids and cortical neurons in schizophrenia and bipolar disorder.Discover mental health · 2023Article
- A microcarrier-based protocol for scalable generation and purification of human induced pluripotent stem cell-derived neurons and astrocytes.STAR protocols · 2022Article
- Neurodevelopmental copy-number variants: A roadmap to improving outcomes by uniting patient advocates, researchers, and clinicians for collective impact.American journal of human genetics · 2022Review
- Modeling Schizophrenia In Vitro: Challenges and Insights on Studying Brain Cells.Advances in experimental medicine and biology · 2022Article
- Rare Does Not Mean Worthless: How Rare Diseases Have Shaped Neurodevelopment Research in the NGS Era.Biomolecules · 2021Review
- Review
- Wnt/β-Catenin-Dependent Transcription in Autism Spectrum Disorders.Frontiers in molecular neuroscience · 2021Review
- Transcriptional Profiling During Neural Conversion.Methods in molecular biology (Clifton, N.J.) · 2021Article
- Transcriptome Analysis of iPSC-Derived Neurons from Rubinstein-Taybi Patients Reveals Deficits in Neuronal Differentiation.Molecular neurobiology · 2020Article
- Human pluripotent stem cell-derived models and drug screening in CNS precision medicine.Annals of the New York Academy of Sciences · 2020Review
- Dyslexia Candidate Gene and Ciliary Gene Expression Dynamics During Human Neuronal Differentiation.Molecular neurobiology · 2020Article
- Transcriptomic Landscape and Functional Characterization of Induced Pluripotent Stem Cell-Derived Cerebral Organoids in Schizophrenia.JAMA psychiatry · 2020Article
- Transcriptome analysis of neural progenitor cells derived from Lowe syndrome induced pluripotent stem cells: identification of candidate genes for the neurodevelopmental and eye manifestations.Journal of neurodevelopmental disorders · 2020Article
- Transcriptome analysis and functional characterization of cerebral organoids in bipolar disorder.Genome medicine · 2020Article
- Human in vitro models for understanding mechanisms of autism spectrum disorder.Molecular autism · 2020Review
- Human induced pluripotent stem cells technology in treatment resistant depression: novel strategies and opportunities to unravel ketamine's fast-acting antidepressant mechanisms.Therapeutic advances in psychopharmacology · 2020Review
- Negative Symptoms of Schizophrenia and Dopaminergic Transmission: Translational Models and Perspectives Opened by iPSC Techniques.Frontiers in neuroscience · 2020Review
- Synaptic deficits in iPSC-derived cortical interneurons in schizophrenia are mediated by NLGN2 and rescued by N-acetylcysteine.Translational psychiatry · 2019Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Induced pluripotent stem cell (iPSC)-derived neurons and neural progenitors are great resources for studying neural development and differentiation and their disruptions in disease conditions, and hold the promise of future cell therapy. In general, iPSC lines can be established either specifically from patients with neuropsychiatric disorders or from healthy subjects. The iPSCs can then be induced to differentiate into neural lineages and the iPSC-derived neurons are valuable for various types of cell-based assays that seek to understand disease mechanisms and identify and test novel therapies. In addition, it is an ideal system for gene expression profiling (i.e., transcriptomic analysis), an efficient and cost-effective way to explore the genetic programs regulating neurodevelopment. Moreover, transcriptomic comparison, which can be performed between patient-derived samples and controls, or in control lines in which the expression of specific genes has been disrupted, can uncover convergent gene targets and pathways that are downstream of the hundreds of candidate genes that have been associated with neuropsychiatric disorders. The results, especially after integration with spatiotemporal transcriptomic profiles of normal human brain development, have indeed helped to uncover gene networks, molecular pathways, and cellular signaling that likely play critical roles in disease development and progression. On the other hand, despite the great promise, many challenges remain in the usage of iPSC-derived neurons for modeling neuropsychiatric disorders, for example, how to generate relatively homogenous populations of specific neuronal subtypes that are affected in a particular disorder and how to better address the genetic heterogeneity that exists in the patient population.
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