Development of a data-mining system for differential profiling of cell glycoproteins based on lectin microarray
- *Corresponding Author:
- Dr. Jun Hirabayashi
Research Center for Medical Glycoscience
National Institute of Advanced
Industrial Science and Technology
AIST Tsukuba Central 2, 1-1-1, Umezono
Tsukuba, Ibaraki 305-8568, Japan
Fax : +81-29-861-3125,
E-mail : [email protected]
Received Date: April 15, 2008; Accepted Date: May 14, 2008; Published Date: May 20, 2008
Citation: Atsushi K, Yoko I, Masashi T, Yoriko T, Masao Y, et al. (2008) Development of a Data-mining System for Differential Profiling of Cell Glycoproteins Based on Lectin Microarray. J Proteomics Bioinform 1: 068-072. doi: 10.4172/jpb.1000011
Copyright: © 2008 Atsushi K, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Lectin microarray is an emerging technique enabling multiplex glycan profiling in a direct, rapid and sensitive manner. So far, there has been no robust system available for efficient data-mining to realize differential profiling, which is an effective approach to biomarker investigation. In the present paper, we describe a practical strategy for proteomics-based glycan-related biomarker discovery, with an example of mice embryonal carcinoma and embryonic stem cells and their differentiated forms with retinoic acid. Data were processed by the microarray system using a max-normalization procedure after a gain-merging process, followed by principal component analysis.