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人多能干细胞中的染色体质量控制:使用GenomeStudio进行SNP阵列分析的实用指南。

Chromosomal quality control in hPSCs: A practical guide to SNP array analysis with GenomeStudio.

作者信息

Haake Josephine, Steenpass Laura

机构信息

Department of Human and Animal Cell Lines, Leibniz Institute DSMZ - German Collection of Microorganisms and Cell Cultures GmbH, Braunschweig, Germany.

Zoological Institute, Technical University Braunschweig, Braunschweig, Germany.

出版信息

Front Cell Dev Biol. 2025 Jul 1;13:1599923. doi: 10.3389/fcell.2025.1599923. eCollection 2025.

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.

摘要

人类多能干细胞(hPSCs)是临床前研究和疾病建模中的重要工具。只有使用经过全面质量控制的hPSCs才能获得有效的结果,这包括确保染色体稳定性。染色体畸变在重编程、基因编辑或维持培养过程中经常出现,会损害这些细胞在研究和治疗应用中的效用。尽管传统的G显带仍然是一种有价值的全基因组分析方法,但其有限的分辨率需要补充方法。单核苷酸多态性(SNP)阵列分析提供了一种高分辨率的替代方法,能提供更详细的基因组概况。我们提供了一份实用且用户友好的指南,介绍如何使用Illumina公司的GenomeStudio检测染色体畸变,为生物信息学专业知识有限的研究人员提供了一个易于遵循的方案,以简化质量控制工作流程。虽然用于hPSC质量控制的SNP阵列分析并非新颖方法,但这份分步指南强调了关键的质量控制指标、阈值和数值,简化了流程,使其更易于理解和高效,从而更广泛地被采用。在32个hPSC中,我们在9个细胞中发现了染色体畸变,包括hPSC培养中经常报道的20q11.21增益——这是一种常见异常。我们常规操作中的实例强调了监测染色体完整性的重要性。本指南是标准化和加强质量控制流程的实用资源,可确保hPSC在研究和临床应用中的基因组稳定性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bdae/12259632/bbdde9042e42/fcell-13-1599923-g001.jpg

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