Concolino Paola, Costella Alessandra, Minucci Angelo, Scaglione Giovanni Luca, Santonocito Concetta, Salutari Vanda, Scambia Giovanni, Zuppi Cecilia, Capoluongo Ettore
Laboratory of Molecular Biology, Institute of Biochemistry and Clinical Biochemistry, Catholic University of Sacred Heart, Largo A. Gemelli 8, 00168 Rome, Italy.
Laboratory of Molecular Biology, Institute of Biochemistry and Clinical Biochemistry, Catholic University of Sacred Heart, Largo A. Gemelli 8, 00168 Rome, Italy.
Clin Chim Acta. 2014 Nov 1;437:72-7. doi: 10.1016/j.cca.2014.06.026. Epub 2014 Jul 5.
Recent advances in next generation sequencing (NGS) technology have enabled comprehensive and accurate screening of the entire genomic region of BRCA1/2 genes and, to date, many studies report the effectiveness of these technologies. Here we show that Gene Scan (GS) labeling Quality Control (QC), performed before massive parallel pyrosequencing, coupled with Multiple Amplicon Quantification software (MAQ-S) analysis is a rapid and powerful tool in the detection of deleterious BRCA mutations carried by different patients.
GS labeling QC assay was performed according to the manufacturers' instructions and MAQ-S software was employed for analysis results.
GS labeling QC was able to detect 14 different BRCA frameshift mutations in our patients. In addition, two novel BRCA mutations (c.1893_1894insTTAAGCCCACAAAT in BRCA1 gene and c.9413_9414insT in BRCA2 gene) were identified.
We prove that a simple QC step may represent a valid and useful tool for a rapid detection of frameshift mutations in BRCA genes. For this reason, we recommend using this approach before massive parallel sequencing.
新一代测序(NGS)技术的最新进展使得能够对BRCA1/2基因的整个基因组区域进行全面、准确的筛查,迄今为止,许多研究报告了这些技术的有效性。在此,我们表明,在大规模平行焦磷酸测序之前进行的基因扫描(GS)标记质量控制(QC),结合多重扩增子定量软件(MAQ-S)分析,是检测不同患者携带的有害BRCA突变的一种快速且强大的工具。
根据制造商的说明进行GS标记QC测定,并使用MAQ-S软件分析结果。
GS标记QC能够在我们的患者中检测到14种不同的BRCA移码突变。此外,还鉴定出两个新的BRCA突变(BRCA1基因中的c.1893_1894insTTAAGCCCACAAAT和BRCA2基因中的c.9413_9414insT)。
我们证明,一个简单的质量控制步骤可能是快速检测BRCA基因移码突变的有效且有用的工具。因此,我们建议在大规模平行测序之前使用这种方法。