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目的用基因芯片及生物信息学的方法确定瘢痕疙瘩致病的相关基因,探讨瘢痕疙瘩发生的分子机理。方法利用含有人约22000个基因的长寡核苷酸芯片,检测5例具有遗传家族史的瘢痕疙瘩与正常皮肤成纤维细胞的基因差异性的表达情况,采用非监督聚类的等阶聚类方法(Hierarchicalclustering)发现统计学意义上差异表达的基因,GO(geneontology)确定这些基因所属的功能群体,探讨其在瘢痕疙瘩发生发展中的重要作用。结果生物信息学分析表明,在5例瘢痕疙瘩成纤维细胞中表达趋势一致的上调基因有11个,下调基因有34个,其中与胶原代谢相关的差异表达基因数量最多。结论与正常皮肤成纤维细胞相比,瘢痕疙瘩发生过程中有多个基因的表达发生了明显地改变,其中代谢相关基因表达的改变可能在瘢痕疙瘩发生发展中发挥重要作用。
Objective To determine the related genes of keloid pathogenesis by gene chip and bioinformatics methods and to explore the molecular mechanism of keloid. Methods Using the oligonucleotide microarray containing about 22000 genes, we detected the gene expression differences of keloids and normal skin fibroblasts in 5 cases with genetic family history. By using unsupervised clustering, Methods Hierarchical cluster analysis found statistically significant differences between the genes, GO (geneontology) to determine the functional groups of these genes belong to explore its important role in the development of keloids. Results Bioinformatics analysis showed that there were 11 up-regulated genes and 34 down-regulated genes in 5 keloid fibroblasts, of which the highest number of differentially expressed genes related to collagen metabolism. Conclusions Compared with normal skin fibroblasts, the expression of multiple genes in keloid significantly changed during the process of keloid development. The changes of the expression of metabolic related genes may play an important role in the development of keloid.