ArticleStem cell reports2017
Taming Human Genetic Variability: Transcriptomic Meta-Analysis Guides the Experimental Design and Interpretation of iPSC-Based Disease Modeling.
Article in Stem cell reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
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Who cites it
60 citing papers in PubMed, 1 synthesis or guideline pooled it, 103 citations in OpenAlex.
- Mental health dished up-the use of iPSC models in neuropsychiatric research.Journal of neural transmission (Vienna, Austria : 1996) · 2020Pooled it
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- In vitro, cellular and in vivo studies of amyloid oligomers structure and toxicity: Challenges and advances.Protein science : a publication of the Protein Society · 2026Review
- hiPSC-derived cortical neurons from ADHD individuals reveal dysregulated glutamatergic development.Molecular psychiatry · 2026Article
- Modeling rare genetic disease with gene-edited induced pluripotent stem cells: relevance of the starting stock line.Stem cells translational medicine · 2025Article
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- Embryoid bodies as a model system for exploring early human embryonic development.Journal of assisted reproduction and genetics · 2025Review
- Modeling rare genetic disease with patient-derived induced pluripotent stem cells: reassessment of the minimum numbers of lines needed.Stem cells translational medicine · 2025Article
- Intersecting impact of CAG repeat and huntingtin knockout in stem cell-derived cortical neurons.Neurobiology of disease · 2025Article
- The RNA content of extracellular vesicles from gene-editedMolecular therapy. Methods & clinical development · 2025Article
- Challenges and Future Perspectives in Modeling Neurodegenerative Diseases Using Organ-on-a-Chip Technology.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Review
- Multiscale modeling uncovers 7q11.23 copy number variation-dependent changes in ribosomal biogenesis and neuronal maturation and excitability.The Journal of clinical investigation · 2024Article
- Upregulated GIRK2 Counteracts Ethanol-Induced Changes in Excitability and Respiration in Human Neurons.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Modeling inherited retinal diseases using human induced pluripotent stem cell derived photoreceptor cells and retinal pigment epithelial cells.Frontiers in medicine · 2024Review
- Article
- Article
- Power and optimal study design in iPSC-based brain disease modelling.Molecular psychiatry · 2023Article
- Recommendations, guidelines, and best practice for the use of human induced pluripotent stem cells for neuropharmacological studies of neuropsychiatric disorders.Neuroscience applied · 2023Review
- Directly reprogrammed fragile X syndrome dorsal forebrain precursor cells generate cortical neurons exhibiting impaired neuronal maturation.Frontiers in cellular neuroscience · 2023Article
- Induced Pluripotent Stem Cells and Genome-Editing Tools in Determining Gene Function and Therapy for Inherited Retinal Disorders.International journal of molecular sciences · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Both the promises and pitfalls of the cell reprogramming research platform rest on human genetic variation, making the measurement of its impact one of the most urgent issues in the field. Harnessing large transcriptomics datasets of induced pluripotent stem cells (iPSC), we investigate the implications of this variability for iPSC-based disease modeling. In particular, we show that the widespread use of more than one clone per individual in combination with current analytical practices is detrimental to the robustness of the findings. We then proceed to identify methods to address this challenge and leverage multiple clones per individual. Finally, we evaluate the specificity and sensitivity of different sample sizes and experimental designs, presenting computational tools for power analysis. These findings and tools reframe the nature of replicates used in disease modeling and provide important resources for the design, analysis, and interpretation of iPSC-based studies.
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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.