• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>BMC Medical Genomics >Gene network analyses point to the importance of human tissue kallikreins in melanoma progression
【24h】

Gene network analyses point to the importance of human tissue kallikreins in melanoma progression

机译：基因网络分析指出人类组织激肽释放酶在黑色素瘤进展中的重要性

获取原文
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Background A wide variety of high-throughput microarray platforms have been used to identify molecular targets associated with biological and clinical tumor phenotypes by comparing samples representing distinct pathological states. Methods The gene expression profiles of human cutaneous melanomas were determined by cDNA microarray analysis. Next, a robust analysis to determine functional classifications and make predictions based on data-oriented hypotheses was performed. Relevant networks that may be implicated in melanoma progression were also considered. Results In this study we aimed to analyze coordinated gene expression changes to find molecular pathways involved in melanoma progression. To achieve this goal, ontologically-linked modules with coordinated expression changes in melanoma samples were identified. With this approach, we detected several gene networks related to different modules that were induced or repressed during melanoma progression. Among them we observed high coordinated expression levels of genes involved in a) cell communication ( KRT4 , VWF and COMP ); b) epidermal development ( KLK7 , LAMA3 and EVPL ); and c) functionally related to kallikreins ( EVPL , KLK6, KLK7, KLK8 , SERPINB13 , SERPING1 and SLPI ). Our data also indicated that hKLK7 protein expression was significantly associated with good prognosis and survival. Conclusions Our findings, derived from a different type of analysis of microarray data, highlight the importance of analyzing coordinated gene expression to find molecular pathways involved in melanoma progression.
机译：背景技术已经通过比较代表不同病理状态的样品，使用了各种各样的高通量微阵列平台来鉴定与生物学和临床肿瘤表型相关的分子靶标。方法采用cDNA微阵列分析技术检测人皮肤黑色素瘤的基因表达谱。接下来，进行了稳健的分析以确定功能分类并基于面向数据的假设进行预测。还考虑了可能与黑色素瘤进展有关的相关网络。结果在这项研究中，我们旨在分析协调的基因表达变化，以发现参与黑色素瘤进展的分子途径。为了实现该目标，鉴定了在黑色素瘤样品中具有协调表达变化的本体链接模块。通过这种方法，我们检测到了与黑色素瘤进展过程中诱导或抑制的不同模块相关的几个基因网络。其中我们观察到与细胞通讯（KRT4，VWF和COMP）有关的基因的高协调表达水平; b）表皮发育（KLK7，LAMA3和EVPL）; c）在功能上与激肽释放酶有关（EVPL，KLK6，KLK7，KLK8，SERPINB13，SERPING1和SLPI）。我们的数据还表明，hKLK7蛋白表达与良好的预后和生存率显着相关。结论我们的发现源自对微阵列数据的不同类型的分析，突出了分析协调基因表达以发现涉及黑色素瘤进展的分子途径的重要性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号