Experimental design and analysis of antibody microarrays: Applying methods from cDNA arrays

被引:24
作者
Eckel-Passow, JE [1 ]
Hoering, A
Therneau, TM
Ghobrial, I
机构
[1] Mayo Clin, Dept Hlth Sci Res, 200 1st St SW, Rochester, MN 55905 USA
[2] Mayo Clin, Dept Hematol, Rochester, MN 55905 USA
关键词
D O I
10.1158/0008-5472.CAN-04-3213
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Protein expression microarrays, also called antibody arrays, represent a new technology that allows the expression level of proteins to be assessed directly. As is also the case with gene expression microarrays, it is hoped that protein expression microarrays will aid in biomarker discovery, predicting disease outcomes and response to treatments, and detecting molecular mechanisms and/or pathways associated with a particular disease state. However, accurately achieving these aims is dependent upon suitable experimental designs, normalization procedures that eliminate systematic bias, and appropriate statistical analyses to assess differential expression or expose expression patterns. In the last five years, a large amount of research has been devoted to two-color cDNA arrays to improve experimental design, normalization and statistical analyses to assess differential expression and classification. These methods are directly applicable to two-color antibody arrays. The objective of this article is to discuss statistical methods that have been developed for cDNA arrays and describe how the methods can be directly applied to antibody arrays.
引用
收藏
页码:2985 / 2989
页数:5
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