Volume 48, Issue 4 , Pages 356-369, December 2009
Unique Biological Properties and Application Potentials of CD34+ CD38− Stem Cells From Various Sources
Article Outline
Summary
Objective
Somatic CD34+ CD38− stem cells can differentiate into cells of hematopoietic and endothelial lineages and have been clinically used to treat diseases. These stem cells can be obtained from cord blood (CB), bone marrow or granulocyte-macrophage colony-stimulating factor–mobilized peripheral blood. Unmasking genes differentially expressed in hematopoietic stem cells (HSCs) from different anatomic locations can improve our understanding of their basic biological features and help in clinical decision making when applying different HSCs.
Materials and Methods
We performed microarray analysis on human CD34+ CD38− HSCs isolated from CB, bone marrow and peripheral blood. Systems biology and advanced bioinformatics tools were used to better understand the biological modules and genetic networks accompanying each HSC subtype.
Results
We identified HSC genes differentially expressed in various HSCs and found them to be involved in critical biological processes such as cell cycle regulation, cell motility, and endogenous antigen presentation. Among these three HSC types, HSCs from CB expressed the fewest rejection and immune response-associated genes, thereby showing the best potential as a transplantation source. Analysis of HSC-enriched genes using systems biology tools revealed a complex genetic network functioning in different CD34+ CD38− cells, in which several genes act as hubs, such as MYC in CB HSCs and hepatic growth factor in bone marrow HSCs, to maintain the stability or connectivity of the whole network.
Conclusion
This study provides the foundation for a more detailed understanding of CD34+ CD38− HSCs from different sources, and reveals the potentials of different HSCs for different clinical applications.
Key Words: CD34 , hematopoietic stem cells , systems biology , transplantation
No full text is available. To read the body of this article, please view the PDF online.
References
- . Umbilical cord blood transplantation for myeloid malignancies . Curr Opin Hematol . 2007;14:162–169
- . Gene-expression profiling of CD34+ cells from various hematopoietic stem-cell sources reveals functional differences in stem-cell activity . J Leukoc Biol . 2004;75:314–323
- Gene-expression profiling of CD34+ hematopoietic cells expanded in a collagen I matrix . Stem Cells . 2006;24:494–500
- . A stem cell molecular signature . Science . 2002;298:601–604
- Identification of the adult human hemangioblast . Stem Cells Dev . 2004;13:229–242
- Global gene expression profile of human cord blood-derived CD133+ cells . Stem Cells . 2006;24:631–641
- Microarray and serial analysis of gene expression analyses identify known and novel transcripts overexpressed in hematopoietic stem cells . Cancer Res . 2004;64:4434–4441
- . Wrestling with pleiotropy: genomic and topological analysis of the yeast gene expression network . Bioessays . 2002;24:267–274
- . The Arabidopsis co-expression tool (ACT): a WWW-based tool and database for microarray-based gene expression analysis . Plant J . 2006;46:336–348
- Genetic network analysis of human CD34+ hematopoietic stem/precursor cells . Taiwan J Obstet Gynecol . 2008;47:422–430
- Kaposi sarcoma herpesvirus-induced cellular reprogramming contributes to the lymphatic endothelial gene expression in Kaposi sarcoma . Nat Genet . 2004;36:687–693
- . DAVID: Database for Annotation, Visualization, and Integrated Discovery . Genome Biol . 2003;4:P3
- Functional network reconstruction reveals somatic stemness genetic maps and dedifferentiation-like transcriptome reprogramming induced by GATA2 . Stem Cells . 2008;26:1186–1201
- . Characterisation of the anti-apoptotic function of survivin-Δ Ex3 during TNFα-mediated cell death . Br J Cancer . 2007;96:1659–1666
- . RUNX1 and GATA-1 coexpression and co operation in megakaryocytic differentiation . Blood . 2003;101:4333–4341
- The membrane-cytoskele ton linker ezrin is necessary for osteosarcoma metastasis . Nat Med . 2004;10:182–186
- . Expression profiling identifies the cytoskeletal organizerezrin and the developmental homeoprotein Six-1 as key metastatic regulators . Nat Med . 2004;10:175–181
- The Gene Ontology (GO) database and informatics resource . Nucleic Acids Res . 2004;32:D258–D261
- . Regulation of expression of murine transferrin receptor 2 . Blood . 2001;98:1949–1954
- . Regulation of the erythroid Kruppel-like factor (EKLF) gene promoter by the erythroid transcription factor GATA-1 . J Biol Chem . 1994;269:15440–15444
- . Network biology: understanding the cell's functional organization . Nat Rev Genet . 2004;5:101–113
- . Data-driven modelling of signal-transduction networks . Nat Rev Mol Cell Biol . 2006;7:820–828
PII: S1028-4559(09)60324-7
doi:10.1016/S1028-4559(09)60324-7
© 2009 Taiwan Association of Obstetrics and Gynecology. Published by Elsevier Inc. All rights reserved.
Volume 48, Issue 4 , Pages 356-369, December 2009
