野生型阻断 PCR 与 Sanger 测序相结合检测低频体细胞突变

IF 1.2 4区 综合性期刊 Q3 MULTIDISCIPLINARY SCIENCES Jove-Journal of Visualized Experiments Pub Date : 2024-08-23 DOI:10.3791/65647
Haixia Xu, Junyan Lu, Zhou Li, Ran Chen
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引用次数: 0

摘要

在监测肿瘤治疗后的最小残留病(MRD)时,对检测下限的要求比检测治疗过程中的耐药突变和循环肿瘤细胞突变更高。传统的 Sanger 测序方法野生型突变检出率为 5%-20%,其检测下限无法满足相应的要求。据报道,能够克服这一问题的野生型阻断技术包括阻断剂置换扩增(BDA)、不可延伸锁定核酸(LNA)、热点特异性探针(HSSP)等。这些技术使用特定的寡核苷酸序列来阻断野生型或识别野生型,然后与其他方法相结合,阻止野生型扩增,扩增突变型扩增,从而具有灵敏度高、灵活方便等特点。该方案利用BDA、野生型阻断PCR结合Sanger测序,优化了RHOA G17V低频体细胞突变的检测,检测灵敏度可达0.5%,可为血管免疫母细胞性T细胞淋巴瘤的MRD监测提供依据。
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Wild-type Blocking PCR Combined with Sanger Sequencing for Detection of Low-frequency Somatic Mutation.

When monitoring minimal residual disease (MRD) after tumor treatment, there are higher requirements of the lower limit of detection than when detecting for drug resistance mutations and circulating tumor cell mutations during therapy. Traditional Sanger sequencing has 5%-20% wild-type mutation detection, so its limit of detection cannot meet the corresponding requirements. The wild-type blocking technologies that have been reported to overcome this include blocker displacement amplification (BDA), non-extendable locked nucleic acid (LNA), hot-spot-specific probes (HSSP), etc. These technologies use specific oligonucleotide sequences to block wild-type or recognize wild-type and then combine this with other methods to prevent wild-type amplification and amplify mutant amplification, leading to characteristics like high sensitivity, flexibility, and convenience. This protocol uses BDA, a wild-type blocking PCR combined with Sanger sequencing, to optimize the detection of RHOA G17V low-frequency somatic mutations, and the detection sensitivity can reach 0.5%, which can provide a basis for MRD monitoring of angioimmunoblastic T-cell lymphoma.

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来源期刊
Jove-Journal of Visualized Experiments
Jove-Journal of Visualized Experiments MULTIDISCIPLINARY SCIENCES-
CiteScore
2.10
自引率
0.00%
发文量
992
期刊介绍: JoVE, the Journal of Visualized Experiments, is the world''s first peer reviewed scientific video journal. Established in 2006, JoVE is devoted to publishing scientific research in a visual format to help researchers overcome two of the biggest challenges facing the scientific research community today; poor reproducibility and the time and labor intensive nature of learning new experimental techniques.
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