大数据 ›› 2016, Vol. 2 ›› Issue (5): 22-31.doi: 10.11959/j.issn.2096-0271.2016051

• 研究 • 上一篇    下一篇

基因表达谱大数据在抗癌药物研发中的应用

刘阳,白卉,伯晓晨   

  1. 军事医学科学院放射与辐射医学研究所,北京 100850
  • 出版日期:2016-09-20 发布日期:2018-02-08
  • 基金资助:
    国家自然科学基金资助项目

Application of large scale gene expression profiles in anticancer drug development

Yang LIU,Hui BAI,Xiaochen BO   

  1. Institute of Radiation Medicine,Academy of Military Medical Sciences,Beijing 100850,China
  • Online:2016-09-20 Published:2018-02-08
  • Supported by:
    The National Natural Science Foundation of China

摘要:

作为功能基因组学中重要的组成部分,基因表达谱在生物学、医学和药物研发等多个领域发挥着重要作用。特别是随着精准医疗概念的提出,整合包括基因表达谱在内的多组学数据用于个性化医疗是未来的发展趋势。从抗癌药物研发背景出发,介绍了基于细胞扰动表达谱的大数据分析方法,并且总结了其在抗癌药物研发中的应用。

关键词: 基因表达谱, 关联图谱, 整合网络细胞印记库, 抗癌药物研发

Abstract:

As an important part of functional genomics,gene expression profile plays an important role in many fields,such as biology,medicine and drug discovery.With the advent of precision medicine,integration of multi-omics data including gene expression profile data for personalized health care is becoming the trend of future medicine.The advances of anticancer drug development were introduced firstly,and then the methods for perturbational gene expression profile analysis were illustrated,especially connectivity map idea.Finally applications of these data in anticancer drug development were summarized.

Key words: gene expression profile, connectivity map, library of integrated network-based cellular signatures, anticancer drug development

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