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泛癌症转录组分析揭示了通过选择性启动子的普遍调控。

A Pan-cancer Transcriptome Analysis Reveals Pervasive Regulation through Alternative Promoters.

机构信息

Computational and Systems Biology, Genome Institute of Singapore, Singapore 138672, Singapore; School of Computing, National University of Singapore, Singapore 117417, Singapore.

Computational and Systems Biology, Genome Institute of Singapore, Singapore 138672, Singapore.

出版信息

Cell. 2019 Sep 5;178(6):1465-1477.e17. doi: 10.1016/j.cell.2019.08.018.


DOI:10.1016/j.cell.2019.08.018
PMID:31491388
Abstract

Most human protein-coding genes are regulated by multiple, distinct promoters, suggesting that the choice of promoter is as important as its level of transcriptional activity. However, while a global change in transcription is recognized as a defining feature of cancer, the contribution of alternative promoters still remains largely unexplored. Here, we infer active promoters using RNA-seq data from 18,468 cancer and normal samples, demonstrating that alternative promoters are a major contributor to context-specific regulation of transcription. We find that promoters are deregulated across tissues, cancer types, and patients, affecting known cancer genes and novel candidates. For genes with independently regulated promoters, we demonstrate that promoter activity provides a more accurate predictor of patient survival than gene expression. Our study suggests that a dynamic landscape of active promoters shapes the cancer transcriptome, opening new diagnostic avenues and opportunities to further explore the interplay of regulatory mechanisms with transcriptional aberrations in cancer.

摘要

大多数人类蛋白编码基因受到多个不同启动子的调控,这表明启动子的选择与转录活性一样重要。然而,虽然转录的全局变化被认为是癌症的一个特征,但替代启动子的作用在很大程度上仍未得到探索。在这里,我们使用来自 18468 个癌症和正常样本的 RNA-seq 数据推断出活性启动子,证明替代启动子是转录的特定于上下文的调节的主要贡献者。我们发现启动子在组织、癌症类型和患者中失调,影响已知的癌症基因和新的候选基因。对于具有独立调节启动子的基因,我们证明启动子活性比基因表达提供了更准确的患者生存预测因子。我们的研究表明,活跃启动子的动态景观塑造了癌症转录组,为新的诊断途径和机会开辟了道路,以进一步探索调节机制与癌症转录异常的相互作用。

相似文献

[1]
A Pan-cancer Transcriptome Analysis Reveals Pervasive Regulation through Alternative Promoters.

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[2]
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[3]
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[6]
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[7]
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[8]
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[10]
Insights from multidimensional analyses of the pan-cancer DNA methylome heterogeneity and the uncanonical CpG-gene associations.

Int J Cancer. 2018-10-4

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[7]
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[8]
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