首页> 外国专利> SYSTEMS-LEVEL ANALYSIS OF 32 TCGA CANCERS REVEALS DISEASE-DEPENDENT TRNA FRAGMENTATION PATTERNS AND VERY SELECTIVE ASSOCIATIONS WITH MESSENGER RNAS AND REPEAT ELEMENTS

SYSTEMS-LEVEL ANALYSIS OF 32 TCGA CANCERS REVEALS DISEASE-DEPENDENT TRNA FRAGMENTATION PATTERNS AND VERY SELECTIVE ASSOCIATIONS WITH MESSENGER RNAS AND REPEAT ELEMENTS

机译:系统水平的32种TCGA癌症揭示依赖疾病的TRNA片段模式以及与信使RNA和重复元素的非常选择性的关联

摘要

Methods of treating a disease by leveraging positive and negative correlations between tRNA-derived fragments (tRF) and messenger RNA (mRNA) wherein said correlations can be used to establish a level of granularity that is specific to a disease of interest wherein said disease-specific positive and negative correlations can allow a level of therapeutic intervention that will be unprecedented because it will have been informed by three dimensions: at least one mRNA of interest; at least one tRF that are positively/negatively correlated with it; and, the identity of the disease in which one wishes to modulate the abundance of the at least one mRNA of interest.
机译:通过利用tRNA衍生的片段(tRF)和信使RNA(mRNA)之间的正相关和负相关性来治疗疾病的方法,其中所述相关性可用于建立特定于所关注疾病的粒度水平,其中所述疾病特异性正相关和负相关可以使治疗干预达到前所未有的水平,因为它已经从三个方面得到了告知:至少一个目的mRNA;至少一个与其正/负相关的tRF;以及希望调节至少一种目的mRNA丰度的疾病的身份。

著录项

  • 公开/公告号US20200202976A1

    专利类型

  • 公开/公告日2020-06-25

    原文格式PDF

  • 申请/专利权人

    申请/专利号US16609880

  • 发明设计人 Isidore Rigoutsos;Aristeidis G. Telonis;

    申请日2018-05-01

  • 分类号

  • 国家 US

  • 入库时间 2022-08-21 10:58:30

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