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Establishing a reference dataset for the authentication of spinal muscular atrophy cell lines using STR profiling and digital PCR

机译:使用STR分析和数字PCR建立用于鉴定脊髓性肌萎缩细胞系的参考数据集

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摘要

Fibroblasts and lymphoblastoid cell lines (LCLs) derived from individuals with spinal muscular atrophy (SMA) have been and continue to be essential for translational SMA research. Authentication of cell lines helps ensure reproducibility and rigor in biomedical research. This quality control measure identifies mislabeling or cross-contamination of cell lines and prevents misinterpretation of data. Unfortunately, authentication of SMA cell lines used in various studies has not been possible because of a lack of a reference. In this study, we provide said reference so that SMA cell lines can be subsequently authenticated. We use short tandem repeat (STR) profiling and digital PCR (dPCR), which quantifies SMN1 and SMN2 copy numbers, to generate molecular identity codes for fibroblasts and LCLs that are commonly used in SMA research. Using these molecular identity codes, we clarify the familial relationships within a set of fibroblasts commonly used in SMA research. This study presents the first cell line reference set for the SMA research community and demonstrates its usefulness for re-identification and authentication of lines commonly used as in vitro models for future studies.
机译:源自患有脊髓性肌萎缩症(SMA)的个体的成纤维细胞和淋巴母细胞样细胞系(LCL)一直是并将继续对翻译SMA研究至关重要。细胞系的鉴定有助于确保生物医学研究的可重复性和严格性。此质量控制措施可识别细胞系标签错误或交叉污染,并防止数据误解。不幸的是,由于缺乏参考,无法对各种研究中使用的SMA细胞系进行鉴定。在这项研究中,我们提供了所述参考,以便随后可以鉴定SMA细胞系。我们使用短串联重复序列(STR)分析和数字PCR(dPCR)(可量化SMN1和SMN2拷贝数)来生成SMA研究中常用的成纤维细胞和LCL分子识别码。使用这些分子身份代码,我们阐明了SMA研究中常用的一组成纤维细胞内的家族关系。这项研究为SMA研究社区提供了第一个细胞系参考集,并展示了其对于重新鉴定和鉴定通常用作未来研究的体外模型的细胞系的有用性。

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