BACKGROUND:Flaky tail (ma/ma Flg(ft/ft)) mice have a frameshift mutation in the filaggrin (Flg(ft)) gene and are widely used as a model of human atopic dermatitis associated with FLG mutations. These mice possess another recessive hair mutation, matted (ma), and develop spontaneous dermatitis under specific pathogen-free conditions, whereas genetically engineered Flg(-/-) mice do not. OBJECTIVE:We identified and characterized the gene responsible for the matted hair and dermatitis phenotype in flaky tail mice. METHODS:We narrowed down the responsible region by backcrossing ma/ma mice with wild-type mice and identified the mutation using next-generation DNA sequencing. We attempted to rescue the matted phenotype by introducing the wild-type matted transgene. We characterized the responsible gene product by using whole-mount immunostaining of epidermal sheets. RESULTS:We demonstrated that ma, but not Flg(ft), was responsible for the dermatitis phenotype and corresponded to a Tmem79 gene nonsense mutation (c.840C>G, p.Y280*), which encoded a 5-transmembrane protein. Exogenous Tmem79 expression rescued the matted hair and dermatitis phenotype of Tmem79(ma/ma) mice. Tmem79 was mainly expressed in the trans-Golgi network in stratum granulosum cells in the epidermis in both mice and humans. The Tmem79(ma/ma) mutation impaired the lamellar granule secretory system, which resulted in altered stratum corneum formation and a subsequent spontaneous dermatitis phenotype. CONCLUSIONS:The Tmem79(ma/ma) mutation is responsible for the spontaneous dermatitis phenotype in matted mice, probably as a result of impaired lamellar granule secretory system and altered stratum corneum barrier function.
KEYWORDS: AD, Atopic dermatitis, CDSN, Corneodesmosin, Filaggrin, Flg, LG, Lamellar granule, Matted, SC, SG, SNV, SPF, Single nucleotide variation, Specific pathogen free, Stratum corneum, Stratum granulosum, TEWL, TGN, Trans-Golgi network, Transepidermal water loss, WT, Wild type, filaggrin, ma, skin barrier, stratum corneum, trans-Golgi network