Profiling of Differentially Expressed Genes in Human Stem Cells by cDNA Microarray

  • Kim, Chul Geun (Department of Life Science, Hanyang University) ;
  • Lee, Jong Joo (Department of Life Science, Hanyang University) ;
  • Jung, Dae Young (Department of Life Science, Hanyang University) ;
  • Jeon, Jinseon (Department of Life Science, Hanyang University) ;
  • Heo, Hyen Seok (Department of Life Science, Hanyang University) ;
  • Kang, Ho Chul (Department of Life Science, Hanyang University) ;
  • Shin, June Ho (Department of Life Science, Hanyang University) ;
  • Cho, Yoon Shin (Department of Life Science, Hanyang University) ;
  • Cha, Kyung Joon (Department of Mathematics, Hanyang University) ;
  • Kim, Chan Gil (Department of Biotechnology, Konkuk University) ;
  • Do, Byung-Rok (HuRim Bio Cell Inc.) ;
  • Kim, Kyung Suk (CoreStem Company) ;
  • Kim, Hyun-Soo (FCB PharMiCell Inc.)
  • Received : 2005.09.15
  • Accepted : 2006.04.23
  • Published : 2006.06.30

Abstract

Stem cells are unique cell populations with the ability to undergo both self-renewal and differentiation, although a wide variety of adult stem cells as well as embryonic stem cells have been identified and stem cell plasticity has recently been reported. To identify genes implicated in the control of the stem cell state as well as the characteristics of each stem cell line, we analyzed the expression profiles of genes in human embryonic, hematopoietic ($CD34^+$ and $CD133^+$), and mesenchymal stem cells using cDNA microarrays, and identified genes that were differentially expressed in specific stem cell populations. In particular we were able to identify potential hESC signature-like genes that encode transcription factors (TFAP2C and MYCN), an RNA binding protein (IMP-3), and a functionally uncharacterized protein (MAGEA4). The overlapping sets of 22 up-regulated and 141 down-regulated genes identified in this study of three human stem cell types may also provide insight into the developmental mechanisms common to all human stem cells. Furthermore, our comprehensive analyses of gene expression profiles in various adult stem cells may help to identify the genetic pathways involved in self-renewal as well as in multi-lineage specific differentiation.

Keywords

Acknowledgement

Supported by : Ministry of Health and Welfare of Korea

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