Profiling of differentially expressed genes in human stem cells by cDNA microarray.
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.
Kim
Chul Geun
CG
Department of Life Science, Hanyang University, Seoul 133-791, Korea. cgkim@hanyang.ac.kr
Lee
Jong Joo
JJ
Jung
Dae Young
DY
Jeon
Jinseon
J
Heo
Hyen Seok
HS
Kang
Ho Chul
HC
Shin
June Ho
JH
Cho
Yoon Shin
YS
Cha
Kyung Joon
KJ
Kim
Chan Gil
CG
Do
Byung-Rok
BR
Kim
Kyung Suk
KS
Kim
Hyun-Soo
HS
D000328:Adult; D001854:Bone Marrow Cells / Q000378:metabolism; D002454:Cell Differentiation; D004622:Embryo, Mammalian / Q000166:cytology / Q000378:metabolism*; D020869:Gene Expression Profiling; D005786:Gene Expression Regulation; D006412:Hematopoietic Stem Cells / Q000378:metabolism*; D006801:Humans; D059630:Mesenchymal Stem Cells / Q000378:metabolism*; D020411:Oligonucleotide Array Sequence Analysis