These authors contributed equally to this study.
Gene Expression Signatures of Seven Individual Human Embryonic Stem Cell Lines
Article first published online: 1 OCT 2005
Copyright © 2005 AlphaMed Press
Volume 23, Issue 9, pages 1343–1356, October 2005
How to Cite
Skottman, H., Mikkola, M., Lundin, K., Olsson, C., Strömberg, A.-M., Tuuri, T., Otonkoski, T., Hovatta, O. and Lahesmaa, R. (2005), Gene Expression Signatures of Seven Individual Human Embryonic Stem Cell Lines. STEM CELLS, 23: 1343–1356. doi: 10.1634/stemcells.2004-0341
- Issue published online: 2 JAN 2009
- Article first published online: 1 OCT 2005
- Manuscript Accepted: 6 MAY 2005
- Manuscript Received: 2 DEC 2004
- Embryonic stem cells;
- Genetic variation;
Identification of molecular components that define a pluripotent human embryonic stem cell (hESC) provides the basis for understanding the molecular mechanisms regulating the maintenance of pluripotency and induction of differentiation. We compared the gene expression profiles of seven genetically independent hESC lines with those of nonlineage-differentiated cells derived from each line. A total of 8,464 transcripts were expressed in all hESC lines. More than 45% of them have no yet-known biological function, which indicates that a high number of unknown factors contribute to hESC pluripotency. Among these 8,464 transcripts, 280 genes were specific for hESCs and 219 genes were more than twofold differentially expressed in all hESC lines compared with nonlineage-differentiated cells. They represent genes implicated in the maintenance of pluripotency and those involved in early differentiation. The chromosomal distribution of these hESC-enriched genes showed over-representation in chromosome 19 and under-representation in chromosome 18. Although the overall gene expression profiles of the seven hESC lines were markedly similar, each line also had a subset of differentially expressed genes reflecting their genetic variation and possibly preferential differentiation potential. Limited overlap between gene expression profiles illustrates the importance of cross-validation of results between different ESC lines.