Journal of Proteomics & Bioinformatics
Open Access
ISSN: 0974-276X
ISSN: 0974-276X
Jun Hirabayashi
National Institute of Advanced Industrial Science and Technology,
AIST Tsukuba Central 2, 1-1-1, Umezono, Tsukuba, Ibaraki 305-8568
Japan
Research Article
Development of a data-mining system for differential profiling of cell glycoproteins based on lectin microarray
Author(s): Atsushi Kuno, Yoko Itakura, Masashi Toyoda, Yoriko Takahashi, Masao Yamada, AkihiroUmezawa and Jun Hirabayashi
Atsushi Kuno, Yoko Itakura, Masashi Toyoda, Yoriko Takahashi, Masao Yamada, AkihiroUmezawa and Jun Hirabayashi
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.
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DOI:
10.4172/jpb.1000011