miRNA Expression Analyses in Prostate Cancer Clinical Tissues

被引:17
作者
Bucay, Nathan [1 ]
Shahryari, Varahram [1 ]
Majid, Shahana [1 ]
Yamamura, Soichiro [1 ]
Mitsui, Yozo [1 ]
Tabatabai, Z. Laura [1 ]
Greene, Kirsten [1 ]
Deng, Guoren [1 ]
Dahiya, Rajvir [1 ]
Tanaka, Yuichiro [1 ]
Saini, Sharanjot [1 ]
机构
[1] Univ Calif San Francisco, Dept Urol, Vet Affairs Med Ctr, San Francisco, CA 94143 USA
来源
JOVE-JOURNAL OF VISUALIZED EXPERIMENTS | 2015年 / 103期
基金
美国国家卫生研究院;
关键词
Medicine; Issue; 103; MicroRNAs; prostate cancer; clinical tissues; expression analyses; real-time PCR; in situ hybridization; MICRORNA EXPRESSION; BIOMARKERS; GENES;
D O I
10.3791/53123
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
070301 [无机化学]; 070403 [天体物理学]; 070507 [自然资源与国土空间规划学]; 090105 [作物生产系统与生态工程];
摘要
A critical challenge in prostate cancer (PCa) clinical management is posed by the inadequacy of currently used biomarkers for disease screening, diagnosis, prognosis and treatment. In recent years, microRNAs (miRNAs) have emerged as promising alternate biomarkers for prostate cancer diagnosis and prognosis. However, the development of miRNAs as effective biomarkers for prostate cancer heavily relies on their accurate detection in clinical tissues. miRNA analyses in prostate cancer clinical specimens is often challenging owing to tumor heterogeneity, sampling errors, stromal contamination etc. The goal of this article is to describe a simplified workflow for miRNA analyses in archived FFPE or fresh frozen prostate cancer clinical specimens using a combination of quantitative real-time PCR (RT-PCR) and in situ hybridization (ISH). Within this workflow, we optimize the existing methodologies for miRNA extraction from FFPE and frozen prostate tissues and expression analyses by Taqman-probe based miRNA RT-PCR. In addition, we describe an optimized method for ISH analyses formiRNA detection in prostate tissues using locked nucleic acid (LNA)-based probes. Our optimized miRNA ISH protocol can be applied to prostate cancer tissue slides or prostate cancer tissue microarrays (TMA).
引用
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页数:7
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