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.
Establishing a reference dataset for the authentication of spinal muscular atrophy cell lines using STR profiling and digital PCR.
利用 STR 分析和数字 PCR 建立脊髓性肌萎缩症细胞系鉴定的参考数据集
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作者:Stabley Deborah L, Holbrook Jennifer, Harris Ashlee W, Swoboda Kathryn J, Crawford Thomas O, Sol-Church Katia, Butchbach Matthew E R
| 期刊: | Neuromuscular Disorders | 影响因子: | 2.800 |
| 时间: | 2017 | 起止号: | 2017 May;27(5):439-446 |
| doi: | 10.1016/j.nmd.2017.02.002 | 研究方向: | 细胞生物学 |
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