Suppr超能文献

基于寡核苷酸连接分析的酵母人工染色体文库的自动化筛选

Automatable screening of yeast artificial-chromosome libraries based on the oligonucleotide-ligation assay.

作者信息

Kwok P Y, Gremaud M F, Nickerson D A, Hood L, Olson M V

机构信息

Department of Genetics, Washington University School of Medicine, St. Louis, Missouri 63110.

出版信息

Genomics. 1992 Aug;13(4):935-41. doi: 10.1016/0888-7543(92)90004-c.

Abstract

The systematic screening of yeast artificial-chromosome (YAC) libraries is the limiting step in many physical mapping projects. To improve the screening throughput for a human YAC library, we designed an automatable strategy to identify YAC clones containing a specific segment of DNA. Our approach combines amplification of the target sequence from pooled YAC DNA by the polymerase chain reaction (PCR) with detection of the sequence by an ELISA-based oligonucleotide-ligation assay (OLA). The PCR-OLA approach eliminates the use of radioactive isotopes and gel electrophoresis, two of the major obstacles to automated YAC screening. Furthermore, the use of the OLA to test for the presence of sequences internal to PCR primers provides an additional level of sensitivity and specificity in comparison to methods that rely solely on the PCR.

摘要

酵母人工染色体(YAC)文库的系统筛选是许多物理图谱绘制项目中的限制步骤。为提高人类YAC文库的筛选通量,我们设计了一种可自动化的策略来鉴定含有特定DNA片段的YAC克隆。我们的方法将通过聚合酶链反应(PCR)从混合的YAC DNA中扩增目标序列与基于酶联免疫吸附测定(OLA)的寡核苷酸连接测定法检测该序列相结合。PCR-OLA方法消除了放射性同位素和凝胶电泳的使用,而这两者是YAC自动化筛选的两个主要障碍。此外,与仅依赖PCR的方法相比,使用OLA检测PCR引物内部序列的存在提供了更高的灵敏度和特异性。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验