StemCellDB: the human pluripotent stem cell database at the National Institutes of Health

StemCellDB:美国国立卫生研究院的人类多能干细胞数据库

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作者:Barbara S Mallon, Josh G Chenoweth, Kory R Johnson, Rebecca S Hamilton, Paul J Tesar, Amarendra S Yavatkar, Leonard J Tyson, Kyeyoon Park, Kevin G Chen, Yang C Fann, Ronald D G McKay

Abstract

Much of the excitement generated by induced pluripotent stem cell technology is concerned with the possibility of disease modeling as well as the potential for personalized cell therapy. However, to pursue this it is important to understand the 'normal' pluripotent state including its inherent variability. We have performed various molecular profiling assays for 21 hESC lines and 8 hiPSC lines to generate a comprehensive snapshot of the undifferentiated state of pluripotent stem cells. Analysis of the gene expression data revealed no iPSC-specific gene expression pattern in accordance with previous reports. We further compared cells, differentiated as embryoid bodies in 2 media proposed to initiate differentiation towards separate cell fates, as well as 20 adult tissues. From this analysis we have generated a gene list which defines pluripotency and establishes a baseline for the pluripotent state. Finally, we provide lists of genes enriched under both differentiation conditions which show the proposed bias toward independent cell fates.

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