ReviewMolecular autism2021
Mind the translational gap: using iPS cell models to bridge from genetic discoveries to perturbed pathways and therapeutic targets.
Review in Molecular autism, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed.
- The emerging role of gene therapy in autism spectrum disorder.Discover mental health · 2026Review
- Why We Need a Dynamic Right to Withdraw in Individualized Antisense Oligonucleotide Therapy Development.Journal of bioethical inquiry · 2026Article
- Autism and Human Papillomavirus (HPV) E6: A Comprehensive Review.Iranian journal of psychiatry · 2026Review
- Differentiation of human iPSCs into dopaminergic neurons: comparative analysis of 2D and 3D protocols for disease modeling and pharmacology.Neuroscience applied · 2026Review
- Brain-Derived Neurotrophic Factor Trafficking via the Regulated Secretory Pathway: Mechanisms and Disease Implications.Molecular neurobiology · 2025Review
- Remyelinating Drugs at a Crossroad: How to Improve Clinical Efficacy and Drug Screenings.Cells · 2024Review
- Current status of research in rare genetic disorders and drug discovery in India.Journal of biosciences · 2024Article
- Screening autism-associated environmental factors in differentiating human neural progenitors with fractional factorial design-based transcriptomics.Scientific reports · 2023Article
- Modeling Autism Spectrum Disorders with Induced Pluripotent Stem Cell-Derived Brain Organoids.Biomolecules · 2023Review
- Article
- Review
- From Progenitors to Progeny: Shaping Striatal Circuit Development and Function.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Review
- Making Sense of Patient-Derived iPSCs, Transdifferentiated Neurons, Olfactory Neuronal Cells, and Cerebral Organoids as Models for Psychiatric Disorders.The international journal of neuropsychopharmacology · 2021Review
- Convergent Canonical Pathways in Autism Spectrum Disorder from Proteomic, Transcriptomic and DNA Methylation Data.International journal of molecular sciences · 2021Review
- The Characterization of a Subependymal Giant Astrocytoma-Like Cell Line from Murine Astrocyte with mTORC1 Hyperactivation.International journal of molecular sciences · 2021Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Autism spectrum disorder (ASD) comprises a group of neurodevelopmental disorders characterized by impaired social interactions as well as the presentation of restrictive and repetitive behaviors. ASD is highly heritable but genetically heterogenous with both common and rare genetic variants collaborating to predispose individuals to the disorder. In this review, we synthesize recent efforts to develop human induced pluripotent stem cell (iPSC)-derived models of ASD-related phenotypes. We firstly address concerns regarding the relevance and validity of available neuronal iPSC-derived models. We then critically evaluate the robustness of various differentiation and cell culture protocols used for producing cell types of relevance to ASD. By exploring iPSC models of ASD reported thus far, we examine to what extent cellular and neuronal phenotypes with potential relevance to ASD can be linked to genetic variants found to underlie it. Lastly, we outline promising strategies by which iPSC technology can both enhance the power of genetic studies to identify ASD risk factors and nominate pathways that are disrupted across groups of ASD patients that might serve as common points for therapeutic intervention.
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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.