Usui Kenji, Tomizaki Kin-ya, Mihara Hisakazu
Graduate School of Bioscience and Biotechnology, Tokyo Institute of Technology, Midori, Yokohama, Japan.
Methods Mol Biol. 2009;570:273-84. doi: 10.1007/978-1-60327-394-7_13.
There has recently been increased interest in the potential for microarray technologies to study protein networks in a whole cell system within a single experiment. Protein-detecting microarrays are composed of numerous agents immobilized within a tiny area on solid surfaces to capture targeted proteins and to detect interactions in a high-throughput fashion. In this chapter, in order to extend the usability of peptide microarrays, we describe a novel dry peptide microarray format to obtain protein fingerprint (PFP) data sets and a statistical PFP data manipulation technique to quantitatively analyze targeted proteins.
最近，人们对微阵列技术在单个实验中研究全细胞系统中蛋白质网络的潜力越来越感兴趣。蛋白质检测微阵列由固定在固体表面微小区域内的众多试剂组成，以捕获目标蛋白质并以高通量方式检测相互作用。在本章中，为了扩展肽微阵列的实用性，我们描述了一种新型的干肽微阵列形式，以获得蛋白质指纹（PFP）数据集，以及一种统计PFP数据处理技术，用于定量分析目标蛋白质。
