Lectin microarray analysis of pluripotent and multipotent stem cells

M Toyoda, M Yamazaki‐Inoue, Y Itakura… - Genes to …, 2011 - Wiley Online Library
M Toyoda, M Yamazaki‐Inoue, Y Itakura, A Kuno, T Ogawa, M Yamada, H Akutsu…
Genes to Cells, 2011Wiley Online Library
Stem cells have a capability to self‐renew and differentiate into multiple types of cells;
specific markers are available to identify particular stem cells for developmental biology
research. In this study, we aimed to define the status of somatic stem cells and the
pluripotency of human embryonic stem (hES) and induced pluripotent stem (iPS) cells using
a novel molecular methodology, lectin microarray analysis. Our lectin microarray analysis
successfully categorized murine somatic stem cells into the appropriate groups of …
Stem cells have a capability to self‐renew and differentiate into multiple types of cells; specific markers are available to identify particular stem cells for developmental biology research. In this study, we aimed to define the status of somatic stem cells and the pluripotency of human embryonic stem (hES) and induced pluripotent stem (iPS) cells using a novel molecular methodology, lectin microarray analysis. Our lectin microarray analysis successfully categorized murine somatic stem cells into the appropriate groups of differentiation potency. We then classified hES and iPS cells by the same approach. Undifferentiated hES cells were clearly distinguished from differentiated hES cells after embryoid formation. The pair‐wise comparison means based on ‘false discovery rate’ revealed that three lectins ‐Euonymus europaeus lectin (EEL), Maackia amurensis lectin (MAL) and Phaseolus vulgaris leucoagglutinin [PHA(L)]‐ generated maximal values to define undifferentiated and differentiated hES cells. Furthermore, to define a pluripotent stem cell state, we generated a discriminant for the undifferentiated state with pluripotency. The discriminant function based on lectin reactivities was highly accurate for judgment of stem cell pluripotency. These results suggest that glycomic analysis of stem cells leads to a novel comprehensive approach for quality control in cell‐based therapy and regenerative medicine.
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