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Identification of novel hair‐growth inducers by means of connectivity mapping
Author(s) -
IshimatsuTsuji Yumiko,
Soma Tsutomu,
Kishimoto Jiro
Publication year - 2010
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fj.09-145292
Subject(s) - inducer , in vivo , hair follicle , gene expression , gene expression profiling , biology , microbiology and biotechnology , cell growth , stimulation , microarray , gene , chemistry , genetics , endocrinology
The aim of this study was to identify novel inducers of hair growth using gene expression profiling at various stages of hair‐growth induction. First, we analyzed gene expression at the onset of hair growth in mice induced by cyclosporin A (CsA), a well‐known hair‐growth inducer, using DNA microarray analysis. The results unveiled genes involved in the step‐by‐step progression of hair growth, including increases in melanin biosynthesis and decreases in immune response at d 2 and the subsequent stimulation of cell proliferation at d 4, followed by the up‐regulation of hair specific keratins at d 7 after CsA treatment. With the use of the connectivity map (Cmap), agents that had a similar “gene signature” to that of the profiles of CsA‐treated mice were identified. Several agents, including CsA, were identified by the Cmap and were evaluated for hair induction activity in vivo. One of the proposed agents, fluphenazine (from the d 2 signature) actually induced hair growth in vivo (ED 50 : 2 mM for single application), and the subsequent application of 5 mM iloprost (from the d 4 signature) significantly enhanced the hair‐growth effect of fluphenazine. From these results, Cmap analysis was proven to be a useful method that connects gene expression profiles of complicated biological processes, such as hair‐growth induction, to effective agents.—Ishimatsu‐Tsuji, Y., Soma, T., Kishimoto, J. Identification of novel hair‐growth inducers by means of connectivity mapping. FASEB J. 24, 1489–1496 (2010). www.fasebj.org