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在hPSCs染色体质量控制:使用GenomeStudio进行SNP阵列分析的实用指南

Josephine Haake¹, Laura Steenpass^1,2

¹Department of Human and Animal Cell Lines, Leibniz Institute DSMZ - German Collection of Microorganisms and Cell Cultures GmbH, Braunschweig, Germany.

Frontiers in cell and developmental biology

|July 16, 2025

概括

确保人类多能干细胞 (hPSC) 的染色体稳定性对于可靠的研究至关重要. 本指南简化了SNP阵列分析以检测异常,改善了基因组稳定性的质量控制工作流程.

科学领域:

干细胞生物学干细胞生物学
基因组学就是基因组学.
质量控制质量控制

背景情况:

人类多能干细胞 (hPSCs) 对研究和疾病建模至关重要.
在hPSCs中的染色体不稳定性可以在培养过程中出现,并损害实验有效性.
传统的G-绑定在分辨率上有局限性,需要先进的基因组分析方法.

研究的目的:

为使用SNP阵列分析检测hPSCs染色体异常提供一个用户友好的指南.
为了简化质量控制 (QC) 工作流程,研究人员有有限的生物信息学经验.
突出评估hPSC基因组稳定性的关键QC指标和值.

主要方法:

使用Illumina的GenomeStudio软件进行SNP阵列分析.
开发了一种逐步的协议,用于识别染色体异常.
应用协议分析32个hPSC样本进行质量控制.

主要成果:

在32个hPSC样本中的9个中确定了染色体异常.
证实了20q11.21的频繁发生,这是已知的hPSC异常.
在例行hPSC QC中展示了SNP阵列分析的实际实用性.

结论:

在此协议的指导下进行SNP阵列分析,可增强hPSC质量控制.
标准化质量控制流程确保hPSCs的基因组完整性,用于研究和临床使用.
本指南促进更广泛地采用可靠的方法来监测hPSC中的染色体稳定性.

关键词:

B-基因基因的频率是B-基因基因的频率.基因组工作室在SNP阵列分析中,分析了SNP阵列.在hPSCs中的染色体稳定性在log R比率上,log R比率是什么?在hPSCs的质量控制.

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