目的 通过比较瘢痕疙瘩与正常皮肤组织的蛋白质组表达差异,筛选出与瘢痕疙瘩产生相关的蛋白质.方法 2010年1月至6月运用蛋白质组学技术,对8例瘢痕疙瘩组织和3例正常皮肤组织进行差异双向凝胶电泳(2D-DIGE),选择差异蛋白质斑点,进行基质辅助激光解离飞行时间(MALDI-TOF/TOF)质谱分析和生物学信息分析.结果 成功建立瘢痕疙瘩和正常皮肤组织的双向凝胶电泳图谱,瘢痕疙瘩和正常皮肤组织凝胶电泳图谱中平均蛋白质斑点数分别为2978和3053,其中表达差异超过4倍的斑点共有40个,质谱分析和数据库检索共鉴定出32种蛋白质,包括上调蛋白有20种,下调蛋白有12种.从功能上可分为载体蛋白(3种)、信号转导蛋白(4种)、增殖凋亡相关蛋白(2种)、细胞骨架蛋白(6种)、细胞外基质蛋白(8种)、免疫因子(3种)、肿瘤相关蛋白(2种)和未知功能蛋白(4种).结论 蛋白质组学能较好地显示瘢痕疙瘩与正常皮肤组织间的蛋白质表达差异.对这些差异蛋白质进一步深入研究,将有助于揭示瘢痕疙瘩的发病机制,也为发现新的治疗靶点提供线索和依据.%Objective To investigate and search correlative proteins of keloid by comparing the results of differential proteomic analysis between keloid and normal skin. Methods From January 2010 to June 2010 two-dimensional gel electrophoresis was used to define patterns of protein expression in keloid skin from 8 patients and matched normal skin from 3 patients. Differential expression protein spots were showed and analyzed by matrix-assisted laser desorption ionization-time of flying/time of flying(MALDI-TOF/TOF) mass spectrometry. Results This study succeeded to provide a two-dimensional protein profiling comparison between normal skin and keloid. Gel-analysis software identified an average of 2978 spots in keloid while 30S3 spots in normal skin and statistical filtering yielded 40 spots of a 4-fold change, 32 of which were identified by using mass spectrometry, 20 were up-regulated and 12 were down-regulated. Functional analysis revealed that these proteins could be fractionated to carrier proteins (3 proteins), signal transduction proteins (4 proteins) , proliferation and apoptosis related proteins (2 proteins) , cytoskeleton proteins(6 proteins) , extracellular matrix proteins(8 proteins) , immunity related proteins (3 proteins) , tumor related proteins (2 proteins) , and function unknown protein (4 proteins). Conclusions Proteomic analysis can identify the proteins with variance of keloid versus normal skin. The further research to these differential proteins may help reveal the pathogenesis of keloid and provide new treatments for keloid.
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