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对 21 个推定的 BRCA1 和 BRCA2 剪接变体和 BRCA2 中的复杂串联重复进行了深入的计算机分析和体外 cDNA 分析,从而鉴定出 BRCA2 外显子 11 中激活的隐性剪接供体位点。

Thorough in silico and in vitro cDNA analysis of 21 putative BRCA1 and BRCA2 splice variants and a complex tandem duplication in BRCA2 allowing the identification of activated cryptic splice donor sites in BRCA2 exon 11.

机构信息

Department of Basic Medical Sciences, Ghent University, Ghent, Belgium.

Center for Medical Genetics, Ghent University Hospital, Ghent, Belgium.

出版信息

Hum Mutat. 2018 Apr;39(4):515-526. doi: 10.1002/humu.23390. Epub 2018 Jan 22.

DOI:10.1002/humu.23390
PMID:29280214
Abstract

For 21 putative BRCA1 and BRCA2 splice site variants, the concordance between mRNA analysis and predictions by in silico programs was evaluated. Aberrant splicing was confirmed for 12 alterations. In silico prediction tools were helpful to determine for which variants cDNA analysis is warranted, however, predictions for variants in the Cartegni consensus region but outside the canonical sites, were less reliable. Learning algorithms like Adaboost and Random Forest outperformed the classical tools. Further validations are warranted prior to implementation of these novel tools in clinical settings. Additionally, we report here for the first time activated cryptic donor sites in the large exon 11 of BRCA2 by evaluating the effect at the cDNA level of a novel tandem duplication (5' breakpoint in intron 4; 3' breakpoint in exon 11) and of a variant disrupting the splice donor site of exon 11 (c.6841+1G > C). Additional sites were predicted, but not activated. These sites warrant further research to increase our knowledge on cis and trans acting factors involved in the conservation of correct transcription of this large exon. This may contribute to adequate design of ASOs (antisense oligonucleotides), an emerging therapy to render cancer cells sensitive to PARP inhibitor and platinum therapies.

摘要

对 21 个假定的 BRCA1 和 BRCA2 剪接位点变异体,评估了 mRNA 分析与计算机程序预测之间的一致性。对 12 个改变的异常剪接进行了确认。尽管预测工具有助于确定需要对哪些变体进行 cDNA 分析,但对位于 Cartegni 共识区域内但不在规范位点之外的变体的预测则不太可靠。像 Adaboost 和 Random Forest 这样的学习算法优于传统工具。在将这些新工具应用于临床环境之前,需要进行进一步的验证。此外,我们还首次报告了 BRCA2 大外显子 11 中激活的隐式供体位点,通过评估新型串联重复(5' 断点在 4 号内含子中;3' 断点在 11 号外显子中)和破坏 11 号外显子剪接受体位点的变体对 cDNA 水平的影响(c.6841+1G > C)。预测了其他位点,但未被激活。这些位点需要进一步研究,以增加我们对涉及正确转录该大外显子的顺式和反式作用因子的了解。这可能有助于合理设计 ASO(反义寡核苷酸),这是一种新兴的治疗方法,可使癌细胞对 PARP 抑制剂和铂类治疗敏感。

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