首页> 外文会议>2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology >Identification of a gene expression core signature for Duchenne muscular dystrophy (DMD) via integrative analysis reveals novel potential compounds for treatment
【24h】

Identification of a gene expression core signature for Duchenne muscular dystrophy (DMD) via integrative analysis reveals novel potential compounds for treatment

机译:通过综合分析鉴定杜兴氏肌营养不良症(DMD)的基因表达核心标志揭示了治疗新的潜在化合物

获取原文

摘要

Duchenne muscular dystrophy (DMD) is a recessive X-linked form of muscular dystrophy and one of the most prevalent genetic disorders of childhood. DMD is characterized by rapid progression of muscle degeneration, and ultimately death. Currently, glucocorticoids are the only available treatment for DMD, but they have been shown to result in serious side effects. The purpose of this research was to define a core signature of gene expression related to DMD via integrative analysis of mouse and human datasets. This core signature was subsequently used to screen for novel potential compounds that antagonistically affect the expression of signature genes. With this approach we were able to identify compounds that are 1) already used to treat DMD, 2) currently under investigation for treatment, and 3) so far unknown but promising candidates. Our study highlights the potential of meta-analyses through the combination of datasets to unravel previously unrecognized associations and reveal new relationships.
机译:杜氏肌营养不良症(DMD)是一种隐性X连锁形式的肌营养不良症,是儿童期最普遍的遗传性疾病之一。 DMD的特征是肌肉变性迅速发展,最终导致死亡。目前,糖皮质激素是DMD的唯一​​可用治疗方法,但已显示它们会导致严重的副作用。这项研究的目的是通过对小鼠和人类数据集的综合分析来定义与DMD相关的基因表达的核心特征。该核心特征随后被用于筛选与特征基因表达产生拮抗作用的新型潜在化合物。通过这种方法,我们能够鉴定出以下化合物:1)已经用于治疗DMD,2)目前正在研究治疗的化合物和3)迄今为止未知但有希望的候选化合物。我们的研究通过数据集的组合突出了荟萃分析的潜力,以揭示先前无法识别的关联并揭示新的关系。

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