iSoMAs:在人类癌症中发现异型表达和体质突变关联
Hua Tan1, Valer Gotea1, Sushil K Jaiswal1
1Translational and Functional Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America.
在癌症中异常的替代拼接是由体质突变驱动的. 我们的新计算工具iSoMAs有效地将这些突变与异型水平的改变基因表达联系起来,揭示了关键的癌症相关基因.
科学领域:
- 基因组学就是基因组学.
- 癌症生物学 癌症生物学
- 生物信息学是一种生物信息学.
背景情况:
- 异常的替代拼接是癌症的标志,影响了扩散,血管生成和入侵.
- 体点突变通常会破坏拼接,通过改变功能途径促进癌细胞存活.
研究的目的:
- 开发一个高效的计算管道,iSoMAs (异形表达和体质突变协会),以分析体质突变对异形水平的转录组全基因表达的影响.
- 识别基因,其中体突变与多种癌症类型的异构体表达变化有显著关联.
主要方法:
- 开发iSoMAs,一个利用主要组件分析进行尺寸缩小的计算管道.
- 在癌症基因组图谱中的33种癌症类型中的9,738个瘤样本上应用iSoMAs.
- 湿实验室验证TP53突变与细胞周期基因差异性异型表达的关联.
主要成果:
- 确定了908个体质突变基因,与至少三种癌症类型的异型表达发生变化有显著关联.
- 发现突变通过cis和trans作用机制影响异型表达,涉及瘤基因,瘤抑制剂,RNA结合蛋白和拼接因子.
- 在细胞周期基因中验证了TP53突变和差异性异型表达之间的直接关联,并对其他已识别的基因进行了进一步的文献验证.
结论:
- iSoMAs提供了一种高效和计算可扩展的方法,用于研究癌症中突变驱动的异型表达变化.
- 这项研究揭示了调控因子,包括拼接因子和RNA结合蛋白,以及癌症中的转录格局之间的关键关联.
- 研究结果强调了替代拼接在癌症中的失调的重要性,并确定了用于治疗向的新型候选基因.
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