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利用互斥性鉴定可操作的合成致死性癌症基因对。

Identifying actionable synthetically lethal cancer gene pairs using mutual exclusivity.

机构信息

Bioinformatics Lab, School of Life Sciences, University of Sussex, Brighton, UK.

Genome Damage Stability Centre, School of Life Sciences, University of Sussex, Brighton, UK.

出版信息

FEBS Lett. 2024 Aug;598(16):2028-2039. doi: 10.1002/1873-3468.14950. Epub 2024 Jul 8.

Abstract

Mutually exclusive loss-of-function alterations in gene pairs are those that occur together less frequently than may be expected and may denote a synthetically lethal relationship (SSL) between the genes. SSLs can be exploited therapeutically to selectively kill cancer cells. Here, we analysed mutation, copy number variation, and methylation levels in samples from The Cancer Genome Atlas, using the hypergeometric and the Poisson binomial tests to identify mutually exclusive inactivated genes. We focused on gene pairs where one is an inactivated tumour suppressor and the other a gene whose protein product can be inhibited by known drugs. This provided an abundance of potential targeted therapeutics and repositioning opportunities for several cancers. These data are available on the MexDrugs website, https://bioinformaticslab.sussex.ac.uk/mexdrugs.

摘要

基因对中相互排斥的功能丧失性改变是指那些同时发生的频率低于预期的改变,可能表示基因之间存在合成致死关系(SSL)。SSL 可以被用于治疗,以选择性地杀死癌细胞。在这里,我们使用超几何和泊松二项式检验分析了来自癌症基因组图谱的样本中的突变、拷贝数变异和甲基化水平,以识别相互排斥的失活基因。我们专注于其中一个是失活的肿瘤抑制基因,而另一个基因的蛋白质产物可以被已知药物抑制的基因对。这为几种癌症提供了大量潜在的靶向治疗和重新定位的机会。这些数据可在 MexDrugs 网站上获得,网址是 https://bioinformaticslab.sussex.ac.uk/mexdrugs。

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