Statistical Issues in the Design and Analysis of nCounter Projects.
Statistical Issues in the Design and Analysis of nCounter Projects.
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DOI：
10.4137/cin.s16343
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发表时间：
2014
影响因子：
2
通讯作者：
Sohn I
中科院分区：
文献类型：
--
作者：
Jung SH;Sohn I
已经发表了许多用于设计和分析微阵列项目的统计方法。传统的全基因组微阵列平台(如Affymetrix、Illumina和DASL)测量数万个基因的表达水平。由于这些阵列芯片中包括的基因组是由制造商选择的，因此与特定疾病结果相关的基因数量有限，并且大部分基因没有关联。NCounter是NanoString推出的一项新技术，用于测量选定数量(最多800个)的基因的表达。NCounter芯片的基因列表可以由客户选择。由于基因数量有限和选择基因数量的价格上涨，计数器芯片的基因是从以往研究中发现的基因中精心挑选出来的，通常使用传统的高通量平台，只包括少量肯定不相关的基因，称为对照基因，以标准化不同芯片的整体表达水平。此外，计数器芯片使用计数观察来测量每个基因的表达水平，而传统的高通量平台会产生连续的观察。由于这些差异，为设计和分析高吞吐量项目而开发的一些统计方法可能需要修改，或者可能不适合非反项目。在本文中，我们讨论了可用于反项目设计和分析的统计方法。
Numerous statistical methods have been published for designing and analyzing microarray projects. Traditional genome-wide microarray platforms (such as Affymetrix, Illumina, and DASL) measure the expression level of tens of thousands genes. Since the sets of genes included in these array chips are selected by the manufacturers, the number of genes associated with a specific disease outcome is limited and a large portion of the genes are not associated. nCounter is a new technology by NanoString to measure the expression of a selected number (up to 800) of genes. The list of genes for nCounter chips can be selected by customers. Due to the limited number of genes and the price increase in the number of selected genes, the genes for nCounter chips are carefully selected among those discovered from previous studies, usually using traditional high-throughput platforms, and only a small number of definitely unassociated genes, called control genes, are included to standardize the overall expression level across different chips. Furthermore, nCounter chips measure the expression level of each gene using a counting observation while the traditional high-throughput platforms produce continuous observations. Due to these differences, some statistical methods developed for the design and analysis of high-throughput projects may need modification or may be inappropriate for nCounter projects. In this paper, we discuss statistical methods that can be used for designing and analyzing nCounter projects.