title: Transcriptome analysis in endothelial progenitor cell biology.
abstract: The use of endothelial progenitor cells (EPCs) is a promising new treatment option for cardiovascular diseases. Many of the underlying mechanisms that result in an improvement of endothelial function in vivo remain poorly elucidated to this date, however. We summarize the current positions and potential applications of gene-expression profiling in the field of EPC biology. Based on our own and published gene-expression data, we demonstrate that gene-expression profiling can efficiently be used to characterize different EPC types. Furthermore, we highlight the potential of gene-expression profiling for the analysis of changes that EPCs undergo during culture and examine changes in gene transcription in diseased patients. Transcriptome profiling is a powerful tool for the characterization and functional analysis of EPCs in health and disease.
authors.affiliation: Department of Nephrology and Hypertension, University Medical Center Utrecht, Utrecht, The Netherlands.
authors.forename: Hendrik
authors.initials: H
authors.lastname: Gremmels
authors.forename: Joost O
authors.initials: JO
authors.lastname: Fledderus
authors.forename: Bas W M
authors.initials: BW
authors.lastname: van Balkom
authors.forename: Marianne C
authors.initials: MC
authors.lastname: Verhaar
mesh_terms: D002318:Cardiovascular Diseases / Q000628:therapy; D042783:Endothelial Cells / Q000145:classification / Q000378:metabolism*; D004730:Endothelium, Vascular / Q000166:cytology; D020869:Gene Expression Profiling; D055018:Hemangioblasts / Q000166:cytology / Q000378:metabolism; D006801:Humans; D050356:Lipid Metabolism / Q000235:genetics; D009000:Monocytes / Q000378:metabolism; D018384:Oxidative Stress / Q000235:genetics; D013234:Stem Cells / Q000145:classification / Q000378:metabolism*