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利用碱基特异性切割和基质辅助激光解吸电离飞行时间质谱法进行单核苷酸多态性(SNP)和突变检测。

SNP and mutation discovery using base-specific cleavage and MALDI-TOF mass spectrometry.

作者信息

Böcker Sebastian

机构信息

SEQUENOM Inc., 3595 John Hopkins Court, San Diego, CA 92121, USA.

出版信息

Bioinformatics. 2003;19 Suppl 1:i44-53. doi: 10.1093/bioinformatics/btg1004.

Abstract

MOTIVATION

Single Nucleotide Polymorphisms (SNPs) are believed to contribute strongly to the genetic variability in living beings, in particular their disease or drug side effect predispositions. Mutation-induced sequence variations are playing an important role in the development of cancer, among others. From this, it is clear that SNP and mutation discovery is of great interest in today's Life Sciences. Currently, such discovery is often performed utilizing electrophoresis-based Sanger Sequencing. Discovery of SNPs can also be performed by multiple sequence alignment of publicly available sequence data, but recent studies indicate that only a small percentage of SNPs can be discovered using this approach and, in particular, that SNPs with low frequency are often missed. Other SNP discovery methods only indicate the presence of a SNP in a sample region, but fail to resolve its characterization and localization.

RESULTS

We present a method to discover mutations and SNPs using base-specific cleavage and mass spectrometry. An amplicon of known reference sequence with length usually between 100 and 1000 nt is amplified, transcribed, and cleaved using base-specific endonucleases such as RNAse A or T1. The resulting cleavage products (or fragments) are analyzed by MALDI-TOF mass spectrometry and, comparing the measured spectra with those predicted in-silico, the goal is to discover and pinpoint sequence variations of the sample sequence compared to the reference sequence. A time-efficient algorithm for discovering sequence variations is presented that enables fast analysis of such variations even if the sample sequence differs significantly from the reference sequence.

摘要

动机

单核苷酸多态性(SNP)被认为对生物的遗传变异性有很大贡献,尤其是它们的疾病或药物副作用易感性。突变诱导的序列变异在癌症等疾病的发展中起着重要作用。由此可见,SNP和突变发现是当今生命科学领域非常感兴趣的内容。目前,此类发现通常利用基于电泳的桑格测序法进行。SNP的发现也可以通过对公开可用序列数据进行多序列比对来完成,但最近的研究表明,使用这种方法只能发现一小部分SNP,特别是低频SNP经常被遗漏。其他SNP发现方法仅表明样本区域中存在SNP,但无法解析其特征和定位。

结果

我们提出了一种利用碱基特异性切割和质谱法发现突变和SNP的方法。扩增长度通常在100至1000 nt之间的已知参考序列的扩增子,进行转录,然后使用碱基特异性核酸内切酶(如核糖核酸酶A或T1)进行切割。通过基质辅助激光解吸电离飞行时间质谱(MALDI-TOF MS)分析产生的切割产物(或片段),并将测量的光谱与计算机模拟预测的光谱进行比较,目的是发现并确定样本序列与参考序列相比的序列变异。我们提出了一种高效的发现序列变异的算法,即使样本序列与参考序列有很大差异,也能快速分析此类变异。

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