Chromosomal microarray analysis, or comparative genomic hybridization: A high throughput approach

被引：3
|
作者：
Haeri, Mohammad [1 ,2 ]
Gelowani, Violet [1 ]
Beaudet, Arthur L. [1 ]
机构：
[1] Dept Mol & Human Genet, One Baylor Plaza, Houston, TX USA
[2] Baylor Coll Med, Dept Pathol & Immunol, One Baylor Plaza, Houston, TX 77030 USA
来源：
METHODSX | 2016年 / 3卷
关键词：
Copy number variants; Comparative genomic hybridization; Chromosomal microarray analysis;
D O I：
10.1016/j.mex.2015.11.005
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：
07 ; 0710 ; 09 ;
摘要：
Pathological copy number variants (CNVs) and point mutations are major genetic causes of hundreds of disorders. Comparative genomic hybridization (CGH) also known as chromosomal microarray analysis (CMA) is the best available tool to detect copy number variations in chromosomal make up. We have optimized several different protocols and introduce a high-throughput approach to perform a cost-effective, fast, high-throughput and high-quality CMA. We managed to reach to high quality arrays with 17 +/- 0.04 (mean +/- SD, n = 90) Derivative Log Ratio (DLR) spread, a measure of array quality (<0.20 considered as excellent) for our arrays. High-throughput and high-quality arrays are gaining more attention and the current manuscript is a step forward to this increasing demand. This manuscript introduces a low cost, fast, efficient, high throughput and high-quality aCGH protocol; This protocol provides specific instructions and crucial detail for processing up to 24 slides which is equal to 48, 96, or 192 arrays by only one person in one day; This manuscript is accompanied with a step-by-step video. (C) 2015 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
引用
收藏
页码：8 / 18
页数：11
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