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通过双脱氧指纹图谱法(ddF)改进p53点突变的检测

Improved detection of p53 point mutations by dideoxyfingerprinting (ddF).

作者信息

Martincic D, Whitlock J A

机构信息

Department of Pediatrics, Vanderbilt University School of Medicine, Nashville, Tennessee 37232-6310, USA.

出版信息

Oncogene. 1996 Nov 7;13(9):2039-44.

PMID:8934553
Abstract

Two screening techniques for identifying point mutations (single-strand conformational polymorphism (SSCP) and dideoxyfingerprinting (ddF)) were compared to sequencing to determine their efficiency in detecting mutations in exons 5-8 of the p53 tumor suppressor gene. Twelve human glioblastoma cell lines were studied by each of the three methods. Ten mutations were identified by sequencing; of these, 10/10 were detected by ddF, while SSCP detected 6/10 true mutations and falsely identified two presumed mutations not confirmed by sequencing. We examined the impact of parameters which influence DNA conformation (gel temperature, gel composition, and PCR product size) on the ability of SSCP and ddF to detect mutations. The sensitivity of SSCP varied with both gel temperature and the size of the PCR product; in contrast, ddF was not influenced by either gel temperature or product length (up to 460 nucleotides). We conclude that the increased sensitivity of ddF, together with its greater ease of application due to the lack of need for optimization, provides significant advantages over SSCP in screening DNA sequences for the presence of point mutations. Our results also suggest that the incidence of p53 mutations may be underestimated in studies of human cancers which utilize SSCP as the method of mutational screening.

摘要

为了确定单链构象多态性(SSCP)和双脱氧指纹图谱(ddF)这两种用于识别点突变的筛选技术在检测p53肿瘤抑制基因第5-8外显子突变方面的效率,将它们与测序进行了比较。采用这三种方法对12个人类胶质母细胞瘤细胞系进行了研究。通过测序鉴定出10个突变;其中,ddF检测到了全部10/10个突变,而SSCP检测到了6/10个真实突变,并错误地鉴定出2个测序未证实的假定突变。我们研究了影响DNA构象的参数(凝胶温度、凝胶组成和PCR产物大小)对SSCP和ddF检测突变能力的影响。SSCP的灵敏度随凝胶温度和PCR产物大小而变化;相比之下,ddF不受凝胶温度或产物长度(最长460个核苷酸)的影响。我们得出结论,ddF更高的灵敏度以及由于无需优化而更易于应用,使其在筛选DNA序列中的点突变方面比SSCP具有显著优势。我们的结果还表明,在利用SSCP作为突变筛选方法的人类癌症研究中,p53突变的发生率可能被低估。

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