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高血压的微阵列分析

Microarray Analysis of Hypertension.

作者信息

Keen Henry L, Sigmund Curt D

机构信息

Department of Pharmacology, Roy J. and Lucille A. Carver College of Medicine, University of Iowa, 375 Newton Road, 3181 MERF, Iowa City, IA, 52242, USA.

出版信息

Methods Mol Biol. 2017;1527:41-52. doi: 10.1007/978-1-4939-6625-7_3.

Abstract

Hypertension is a complex disorder in which multiple genes, pathways, and organ systems simultaneously interact to contribute to the final level of blood pressure. Fully elucidating these interactions is an important area of hypertension research and one in which high-throughput methods such as microarrays can play a key role. With recent advances in microarray technology, reliable and accurate quantification of all known mRNA transcripts in a sample is now routinely performed. In addition, with improved statistical methods and publicly available tools and resources, robust analysis of the large amount of data generated from microarray experiments is now achievable for all research laboratories as will be outlined in this review.

摘要

高血压是一种复杂的疾病,其中多个基因、信号通路和器官系统同时相互作用,共同影响最终的血压水平。全面阐明这些相互作用是高血压研究的一个重要领域,而诸如微阵列等高通量方法在这一领域可以发挥关键作用。随着微阵列技术的最新进展,现在已经能够常规地对样本中所有已知的mRNA转录本进行可靠且准确的定量分析。此外,随着统计方法的改进以及公开可用的工具和资源的出现,现在所有研究实验室都能够对微阵列实验产生的大量数据进行强有力的分析,本综述将对此进行概述。

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