Suppr超能文献

A rapid and simple method for the detection of prostate-specific antigen mRNA in archival tissue specimens using a reverse transcription-polymerase chain reaction assay.

作者信息

Edelstein R A, Krane R J, Babayan R K, de las Morenas A, Moreland R B

机构信息

Department of Urology, Boston University School of Medicine, Massachusetts, USA.

出版信息

Urology. 1995 Apr;45(4):597-603. doi: 10.1016/S0090-4295(99)80050-8.

Abstract

OBJECTIVES

Polymerase chain reaction (PCR) amplification of DNA from archival, fixed tissue sources is now performed routinely. In this report, we describe a reproducible technique for mRNA amplification from archival tissues.

METHODS

Archival, fixed tissue was treated with a modification of a rapid, acid guanidinium technique. The RNA yielded was reverse transcribed and subjected to 40 cycles of two-step PCR, using a panel of primers designed to encompass relatively short (less than 250 bp) cDNA fragments. PCR products were analyzed by agarose gel electrophoresis followed by ethidium bromide staining.

RESULTS

Using fixed, paraffin-embedded specimens of human prostate, we have demonstrated a reproducible pattern of reverse transcription (RT)-PCR products using several different primer sets. Our data suggest that RNA degradation proceeds to fragments approximately 250 bp or shorter in length but that many of these fragments survive intact over extended periods of time and are of suitable quality to serve as a template for RT and subsequent PCR amplification.

CONCLUSIONS

We describe a technique that will allow the retrospective analysis of archival tissues for gene expression. These methods are generally applicable to a wide variety of systems. Such a method will make it possible to perform retrospective studies of gene expression in the archival tissues of patients whose eventual clinical course is already known, greatly shortening the time needed for genetic outcome studies in slowly growing tumors, such as prostate cancer.

摘要

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