Development of a data-mining system for differential profiling of cell glycoproteins based on lectin microarray

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.