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首页> 外文期刊>Journal of Immunological Methods >Use of serial analysis of gene expression (SAGE) technology.
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Use of serial analysis of gene expression (SAGE) technology.

机译:使用基因表达系列分析(SAGE)技术。

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Serial analysis of gene expression, or SAGE, is an experimental technique designed to gain a direct and quantitative measure of gene expression. The SAGE method is based on the isolation of unique sequence tags (9-10 bp in length) from individual mRNAs and concatenation of tags serially into long DNA molecules for a lump-sum sequencing. The SAGE method can be applied to the studies exploring virtually any kinds of biological phenomena in which the changes in cellular transcription are responsible. SAGE is a highly competent technology that can not only give a global gene expression profile of a particular type of cell or tissue, but also help us identify a set of specific genes to the cellular conditions by comparing the profiles constructed for a pair of cells that are kept at different conditions. In this review, we present an outline of the original method, several studies achieved by using the method as a major strategic tool, technological difficulties and intrinsic problems that emerged, and improvements and modifications of the method to cope with these drawbacks. We then present our modified SAGE procedure that generates longer sequence tags (14 bp) rather in detail, and the profile (80K profile) derived from HeLa cells that is composed of 80000 tags obtained from a single library. In addition, a series of smaller profiles (2, 4, 10, 20 and 40K) was made by dividing the 80K profile. When we compared these smaller profiles with respect to tag counts for a number of genes, it became apparent that counts of most gene tags increase stably and constantly as the size of profiles increase, while several genes do not. This may be another problem we have to keep in mind, when the profiles are compared for the identification of 'specific genes'.
机译:基因表达的序列分析或SAGE是一项实验技术,旨在获得直接定量的基因表达量度。 SAGE方法基于从单个mRNA分离独特的序列标签(长度为9-10 bp),并将标签串联到长DNA分子中进行一次总和测序。 SAGE方法可用于研究几乎任何类型的生物学现象的研究,在这些现象中,细胞转录的变化是负责任的。 SAGE是一项功能强大的技术,它不仅可以提供特定类型的细胞或组织的全局基因表达图谱,而且还可以通过比较针对一对细胞的构建图谱来帮助我们根据细胞状况识别出一组特定基因保持在不同的条件。在这篇综述中,我们介绍了原始方法的概述,通过使用该方法作为主要战略工具而进行的多项研究,出现的技术难题和内在问题,以及为应对这些缺点而对方法进行的改进和修改。然后,我们介绍经过修改的SAGE程序,该程序将生成更长的序列标签(14 bp),并且会更加详细,以及从HeLa细胞衍生的配置文件(80K配置文件),该配置文件由从单个文库中获得的80000个标签组成。另外,通过分割80K轮廓来制作一系列较小的轮廓(2、4、10、20和40K)。当我们将这些较小的配置文件与多个基因的标签计数进行比较时,很明显,大多数基因标签的计数随着配置文件大小的增加而稳定且不断地增加,而有些基因则没有。当比较这些图谱以鉴定“特定基因”时,这可能是我们要记住的另一个问题。

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