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一个虚拟焦磷酸测序结果解析器,用于解决复杂的焦磷酸测序结果。

A virtual pyrogram generator to resolve complex pyrosequencing results.

机构信息

Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

出版信息

J Mol Diagn. 2012 Mar-Apr;14(2):149-59. doi: 10.1016/j.jmoldx.2011.12.001. Epub 2012 Feb 10.

DOI:10.1016/j.jmoldx.2011.12.001
PMID:22316529
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3349844/
Abstract

We report a freely available software program, Pyromaker, which generates simulated traces for pyrosequencing results based on user inputs. Simulated pyrograms can aid in the analysis of complex pyrosequencing results in which various hypothesized mutations can be tested, and the resultant pyrograms can be matched with the actual pyrogram. We validated the software using the actual pyrograms for common KRAS gene mutations as well as several mutations in the BRAF, GNAS, and p53 genes. We demonstrate that all 18 possible single-base mutations within codons 12 and 13 of KRAS generate unique pyrosequencing traces and highlight the distinctions between them. We further show that all reported codon 12 and 13 complex mutations produce unique pyrograms. However, some complex mutations are indistinguishable from single-base mutations. For complicated pyrograms, Pyromaker was used in two modes, one in which hypothesis-based simulated pyrograms were pattern-matched with the actual pyrograms. In a second strategy with only the pyrogram, Pyromaker was used to identify the underlying mutation by iteratively reconstructing the mutant pyrogram. Either strategy was able to successfully identify the complex mutations, which were confirmed by cloning and sequencing. Using two examples of KRAS codon 12 mutations (specifically GGT→TTT, G12F and GGT→GAG, G12E), we report which combinations of five approaches permit unambiguous mutation identification. The most efficient approach was found to be pyrosequencing with Pyromaker.

摘要

我们报告了一个免费的软件程序 Pyromaker,它可以根据用户输入生成焦磷酸测序结果的模拟轨迹。模拟焦谱图可以帮助分析复杂的焦磷酸测序结果,其中可以测试各种假设的突变,并且可以将得到的焦谱图与实际的焦谱图进行匹配。我们使用常见的 KRAS 基因突变以及 BRAF、GNAS 和 p53 基因中的几个突变的实际焦谱图对该软件进行了验证。我们证明了 KRAS 密码子 12 和 13 内的所有 18 种可能的单碱基突变都会产生独特的焦磷酸测序痕迹,并强调了它们之间的区别。我们进一步表明,所有报道的密码子 12 和 13 复杂突变都会产生独特的焦谱图。然而,一些复杂突变与单碱基突变无法区分。对于复杂的焦谱图,我们使用了 Pyromaker 的两种模式,一种是基于假设的模拟焦谱图与实际焦谱图进行模式匹配,另一种是仅使用焦谱图,通过迭代重建突变体焦谱图来识别潜在的突变。这两种策略都能够成功识别复杂突变,这些突变通过克隆和测序得到了证实。我们报告了两种 KRAS 密码子 12 突变(具体为 GGT→TTT,G12F 和 GGT→GAG,G12E)的例子,说明了哪些方法组合可以实现明确的突变识别。我们发现最有效的方法是使用 Pyromaker 进行焦磷酸测序。

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