Suh Sang Bum, Ahn Keun Jae, Kim Eun Jeong, Suh Ji Youn, Cho Sung Bin
BNV Biolab, Seoul, Korea.
Department of Science Education, Jeju National University, Jeju, Korea.
Clin Cosmet Investig Dermatol. 2023 May 1;16:1145-1157. doi: 10.2147/CCID.S407078. eCollection 2023.
Human dermal fibroblasts secrete numerous growth factors and proteins that have been suggested to promote wound repair and hair regeneration.
Human dermal fibroblast-conditioned medium (DFCM) was prepared, and proteomic analysis was performed. Secretory proteins in DFCM were identified using 1-dimensional sodium dodecyl sulphate-polyacrylamide gel electrophoresis, in-gel trypsin protein digestion, and quantitative liquid chromatography tandem mass spectrometry (LC-MS/MS). Identified proteins were analyzed using bioinformatic methods for the classification and evaluation of protein-protein interactions.
Using LC-MS/MS, 337 proteins were identified in DFCM. Among them, 160 proteins were associated with wound repair, and 57 proteins were associated with hair regeneration. Protein-protein interaction network analysis of 160 DFCM proteins for wound repair at the highest confidence score (0.9) revealed that 110 proteins were grouped into seven distinctive interaction networks. Additionally, protein-protein interaction network analysis of 57 proteins for hair regeneration at the highest confidence score revealed that 29 proteins were grouped into five distinctive interaction networks. The identified DFCM proteins were associated with several pathways for wound repair and hair regeneration, including epidermal growth factor receptor, fibroblast growth factor, integrin, Wnt, cadherin, and transforming growth factor-β signaling pathways.
DFCM contains numerous secretory proteins that comprise groups of protein-protein interaction networks that regulate wound repair and hair regeneration.
人真皮成纤维细胞分泌多种生长因子和蛋白质,这些因子和蛋白质被认为可促进伤口修复和毛发再生。
制备人真皮成纤维细胞条件培养基(DFCM),并进行蛋白质组学分析。使用一维十二烷基硫酸钠-聚丙烯酰胺凝胶电泳、胶内胰蛋白酶蛋白消化和定量液相色谱串联质谱(LC-MS/MS)鉴定DFCM中的分泌蛋白。使用生物信息学方法对鉴定出的蛋白质进行分析,以对蛋白质-蛋白质相互作用进行分类和评估。
使用LC-MS/MS在DFCM中鉴定出337种蛋白质。其中,160种蛋白质与伤口修复相关,57种蛋白质与毛发再生相关。对160种用于伤口修复的DFCM蛋白质进行最高置信度评分(0.9)的蛋白质-蛋白质相互作用网络分析,结果显示110种蛋白质被分为七个不同的相互作用网络。此外,对57种用于毛发再生的蛋白质进行最高置信度评分的蛋白质-蛋白质相互作用网络分析,结果显示29种蛋白质被分为五个不同的相互作用网络。鉴定出的DFCM蛋白质与多种伤口修复和毛发再生途径相关,包括表皮生长因子受体、成纤维细胞生长因子、整合素、Wnt、钙黏蛋白和转化生长因子-β信号通路。
DFCM含有大量分泌蛋白,这些蛋白构成了调节伤口修复和毛发再生的蛋白质-蛋白质相互作用网络组。