ArticleFrontiers in cell and developmental biology2025
Chromosomal quality control in hPSCs: A practical guide to SNP array analysis with GenomeStudio.
Article in Frontiers in cell and developmental biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Structure Variations and 3D Genome Disruption: Implications in Safety of hPSC-Based Cell Therapy.International journal of molecular sciences · 2026Review
- Genomic stability of human pluripotent stem cells: advances in research and screening criteria.Stem cells translational medicine · 2026Review
- Non-gene-edited neural stem cells reverse neuroinflammation and microbiota dysbiosis in a sprague-dawley rat model of autism spectrum disorder.Translational psychiatry · 2026Article
- Advances in the characterization of in vitro-generated red blood cells: from biophysical properties to functional applications.Stem cell research & therapy · 2025Review
- Methylation profiling in neuropathological tumors diagnosis: a comprehensive review.Frontiers in oncology · 2025Review
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Authors and funding
2 authors.
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Abstract
Human pluripotent stem cells (hPSCs) are important tools in preclinical research and disease modeling. Valid results can only be obtained using thoroughly quality-controlled hPSCs, which includes ensuring chromosomal stability. Chromosomal aberrations, which frequently arise during reprogramming, gene editing, or maintenance cultivation, can compromise the utility of these cells in research and therapeutic applications. Although traditional G-banding remains a valuable genome-wide analysis method, its limited resolution necessitates complementary approaches. SNP array analysis offers a high-resolution alternative, providing a more detailed genomic overview. We present a practical and user-friendly guide for detecting chromosomal aberrations using Illumina's GenomeStudio, offering an easy-to-follow protocol to simplify quality control workflows for researchers with minimal bioinformatics expertise. Although SNP array analysis for hPSC quality control is not novel, this step-by-step guide highlights critical quality control metrics, thresholds, and values, streamlining the process to make it more accessible and efficient for broader adoption. In 32 hPSCs, we identified chromosomal aberrations in nine, including the frequently reported gain of 20q11.21-a common anomaly in hPSC cultures. Examples from our routine practices underscore the importance of monitoring chromosomal integrity. This guide serves as a practical resource for standardizing and enhancing quality control processes, ensuring the genomic stability of hPSCs for research and clinical applications.
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