Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden (PHDE, AD, KE, FP)
Science for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, Sweden (LF, BMH, MU)
J Histochem Cytochem. 2015 Feb;63(2):129-41. doi: 10.1369/0022155414562646. Epub 2014 Nov 19.
To increase our understanding of skin, it is important to define the molecular constituents of the cell types and epidermal layers that signify normal skin. We have combined a genome-wide transcriptomics analysis, using deep sequencing of mRNA from skin biopsies, with immunohistochemistry-based protein profiling to characterize the landscape of gene and protein expression in normal human skin. The transcriptomics and protein expression data of skin were compared to 26 (RNA) and 44 (protein) other normal tissue types. All 20,050 putative protein-coding genes were classified into categories based on patterns of expression. We found that 417 genes showed elevated expression in skin, with 106 genes expressed at least five-fold higher than that in other tissues. The 106 genes categorized as skin enriched encoded for well-known proteins involved in epidermal differentiation and proteins with unknown functions and expression patterns in skin, including the C1orf68 protein, which showed the highest relative enrichment in skin. In conclusion, we have applied a genome-wide analysis to identify the human skin-specific proteome and map the precise localization of the corresponding proteins in different compartments of the skin, to facilitate further functional studies to explore the molecular repertoire of normal skin and to identify biomarkers related to various skin diseases.
为了更深入地了解皮肤,明确正常皮肤中细胞类型和表皮层的分子组成部分非常重要。我们综合使用了基于皮肤活检的 mRNA 深度测序的全基因组转录组学分析,以及基于免疫组织化学的蛋白质分析,以描绘正常人类皮肤的基因和蛋白质表达图谱。将皮肤的转录组学和蛋白质表达数据与 26 种(RNA)和 44 种(蛋白质)其他正常组织类型进行了比较。根据表达模式,将所有 20050 个推定的编码蛋白基因分类。我们发现 417 个基因在皮肤中表达上调,其中 106 个基因的表达水平至少是其他组织的五倍。被归类为皮肤高表达的 106 个基因编码了已知的与表皮分化相关的蛋白,以及在皮肤中具有未知功能和表达模式的蛋白,包括 C1orf68 蛋白,其在皮肤中的相对丰度最高。总之,我们应用全基因组分析来鉴定人类皮肤的特有蛋白质组,并绘制相应蛋白质在皮肤不同部位的精确定位,以促进进一步的功能研究,探索正常皮肤的分子组成,并鉴定与各种皮肤疾病相关的生物标志物。