Multiplexed functional genomic analysis of 5' untranslated region mutations across the spectrum of prostate cancer.
Multiplexed functional genomic analysis of 5' untranslated region mutations across the spectrum of prostate cancer.
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DOI:
10.1038/s41467-021-24445-6
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发表时间:
2021-07-09
影响因子:
16.6
通讯作者:
Hsieh AC
中科院分区:
文献类型:
--
作者:
Lim Y;Arora S;Schuster SL;Corey L;Fitzgibbon M;Wladyka CL;Wu X;Coleman IM;Delrow JJ;Corey E;True LD;Nelson PS;Ha G;Hsieh AC
The functional consequences of genetic variants within 5’ untranslated regions (UTRs) on a genome-wide scale are poorly understood in disease. Here we develop a high-throughput multi-layer functional genomics method called PLUMAGE (Pooled full-length UTR Multiplex Assay on Gene Expression) to quantify the molecular consequences of somatic 5’ UTR mutations in human prostate cancer. We show that 5’ UTR mutations can control transcript levels and mRNA translation rates through the creation of DNA binding elements or RNA-based cis-regulatory motifs. We discover that point mutations can simultaneously impact transcript and translation levels of the same gene. We provide evidence that functional 5’ UTR mutations in the MAP kinase signaling pathway can upregulate pathway-specific gene expression and are associated with clinical outcomes. Our study reveals the diverse mechanisms by which the mutational landscape of 5’ UTRs can co-opt gene expression and demonstrates that single nucleotide alterations within 5’ UTRs are functional in cancer. Mutations in 5’ untranslated regions (UTRs) have a functional role in gene expression in cancer. Here, the authors develop a sequencing-based high throughput functional assay named PLUMAGE and show the effects of these mutations on gene expression and their association with clinical outcomes in prostate cancer.
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DOI:
10.1093/annonc/mdu479
发表时间:
2015-01
期刊:
Annals of oncology : official journal of the European Society for Medical Oncology
影响因子:
--
作者:
Favero F;Joshi T;Marquard AM;Birkbak NJ;Krzystanek M;Li Q;Szallasi Z;Eklund AC
通讯作者:
Eklund AC
DOI:
10.1093/bioinformatics/btu638
发表时间:
2015-01-15
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Anders S;Pyl PT;Huber W
通讯作者:
Huber W
影响因子:
64.5
作者:
Cancer Genome Atlas Research Network
通讯作者:
Cancer Genome Atlas Research Network
影响因子:
64.8
作者:
Komor AC;Kim YB;Packer MS;Zuris JA;Liu DR
通讯作者:
Liu DR
影响因子:
64.5
作者:
Kumar, Sushant;Warrell, Jonathan;Gerstein, Mark B.
通讯作者:
Gerstein, Mark B.