title: Global gene expression and comparison between multiple populations in the mouse epidermis.
abstract: Several populations with stem cell characteristics have been identified in the mouse hair follicle, and some are characterized by specific subsets of surface markers. Here we investigate to what extend a multicolor panel of the four surface markers CD34, Sca-1, Integrin-α6 and Plet-1 is sufficient for separating previously described populations. We used global transcriptome profiling to characterize these, and we also performed transcriptome analysis of selected populations after two weeks of culturing. This has not been done before in a context of multiple populations. We identified eight populations of which two have not been described previously: A subset expressing integrin-α6 only and a subset expressing all markers but CD34. Both subsets are highly clonogenic. Transcriptome profiling also showed expression of Hspa2 in a population negative to all markers and immunostaining identified this population as inner root sheath keratinocytes. All cultured populations lost characteristics from the parent population and could not be separated based on the gene expression profile. Our data shows that flow cytometry using multicolor panels can identify further subsets of cells within the epidermis and also highlights a marked discrepancy in gene expression between directly isolated cells and tissue cultured cells.
authors.affiliation: Department of Clinical Genetics, Aarhus University Hospital, 8200 Aarhus, Denmark; Institute of Clinical Medicine, Aarhus University, 8000 Aarhus, Denmark.
authors.forename: Anders Patrik
authors.initials: AP
authors.lastname: Gunnarsson
authors.affiliation: Department of Clinical Genetics, Aarhus University Hospital, 8200 Aarhus, Denmark.
authors.forename: Rikke
authors.initials: R
authors.lastname: Christensen
authors.affiliation: The Key Laboratory of Developmental Genes and Human Disease, Ministry of Education, Institute of Life Sciences, Southeast University, Nanjing, China; Department of Biomedicine, Aarhus University, 8000 Aarhus, Denmark.
authors.forename: Jian
authors.initials: J
authors.lastname: Li
authors.affiliation: Department of Clinical Genetics, Aarhus University Hospital, 8200 Aarhus, Denmark; Institute of Clinical Medicine, Aarhus University, 8000 Aarhus, Denmark. Electronic address: uffejens@rm.dk.
authors.forename: Uffe Birk
authors.initials: UB
authors.lastname: Jensen
mesh_terms: D000818:Animals; D018952:Antigens, CD34 / Q000235:genetics / Q000378:metabolism; D000067696:Ataxin-1 / Q000235:genetics / Q000378:metabolism; D002478:Cells, Cultured; D016000:Cluster Analysis; D005260:Female; D015870:Gene Expression; D020869:Gene Expression Profiling; D039503:Integrin alpha6 / Q000235:genetics / Q000378:metabolism; D015603:Keratinocytes / Q000166:cytology / Q000378:metabolism*; D051379:Mice; D008810:Mice, Inbred C57BL; D018613:Microscopy, Confocal; D011257:Pregnancy Proteins / Q000235:genetics / Q000378:metabolism; D025341:Principal Component Analysis; D012313:RNA / Q000302:isolation & purification / Q000378:metabolism; D060888:Real-Time Polymerase Chain Reaction
chemical_list: D018952:Antigens, CD34; D000067696:Ataxin-1; C000593750:Atxn1 protein, mouse; D039503:Integrin alpha6; C526395:Plet-1 protein, mouse; D011257:Pregnancy Proteins; D012313:RNA
keywords: Progenitor cells; Stem cell markers; Stem cells; Transcriptome profiling