title: A resource for discovering specific and universal biomarkers for distributed stem cells.
abstract: Specific and universal biomarkers for distributed stem cells (DSCs) have been elusive. A major barrier to discovery of such ideal DSC biomarkers is difficulty in obtaining DSCs in sufficient quantity and purity. To solve this problem, we used cell lines genetically engineered for conditional asymmetric self-renewal, the defining DSC property. In gene microarray analyses, we identified 85 genes whose expression is tightly asymmetric self-renewal associated (ASRA). The ASRA gene signature prescribed DSCs to undergo asymmetric self-renewal to a greater extent than committed progenitor cells, embryonic stem cells, or induced pluripotent stem cells. This delineation has several significant implications. These include: 1) providing experimental evidence that DSCs in vivo undergo asymmetric self-renewal as individual cells; 2) providing an explanation why earlier attempts to define a common gene expression signature for DSCs were unsuccessful; and 3) predicting that some ASRA proteins may be ideal biomarkers for DSCs. Indeed, two ASRA proteins, CXCR6 and BTG2, and two other related self-renewal pattern associated (SRPA) proteins identified in this gene resource, LGR5 and H2A.Z, display unique asymmetric patterns of expression that have a high potential for universal and specific DSC identification.
authors.affiliation: School of Pharmacy, Ajou University, Suwon, South Korea.
authors.forename: Minsoo
authors.initials: M
authors.lastname: Noh
authors.forename: Janet L
authors.initials: JL
authors.lastname: Smith
authors.forename: Yang Hoon
authors.initials: YH
authors.lastname: Huh
authors.forename: James L
authors.initials: JL
authors.lastname: Sherley
mesh_terms: D000818:Animals; D001681:Biological Assay; D015415:Biomarkers / Q000378:metabolism*; D002460:Cell Line; D049109:Cell Proliferation / Q000187:drug effects; D019295:Computational Biology; D015638:Cytochalasin D / Q000494:pharmacology; D020869:Gene Expression Profiling; D005818:Genetic Engineering; D051379:Mice; D015233:Models, Statistical; D011506:Proteins / Q000235:genetics / Q000378:metabolism; D013234:Stem Cells / Q000166:cytology / Q000187:drug effects / Q000378:metabolism*; D016159:Tumor Suppressor Protein p53 / Q000378:metabolism
chemical_list: D015415:Biomarkers; D011506:Proteins; D016159:Tumor Suppressor Protein p53; D015638:Cytochalasin D