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评估分支点预测工具以预测生理分支点及其变体的改变。

Assessment of branch point prediction tools to predict physiological branch points and their alteration by variants.

机构信息

Laboratoire de Biologie Clinique et Oncologique, Centre François Baclesse, Caen, France.

Inserm U1245, Normandy Center for Genomic and Personalized Medicine, Rouen, UNIROUEN, Normandy University, Caen, France.

出版信息

BMC Genomics. 2020 Jan 28;21(1):86. doi: 10.1186/s12864-020-6484-5.

DOI:10.1186/s12864-020-6484-5
PMID:31992191
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6988378/
Abstract

BACKGROUND

Branch points (BPs) map within short motifs upstream of acceptor splice sites (3'ss) and are essential for splicing of pre-mature mRNA. Several BP-dedicated bioinformatics tools, including HSF, SVM-BPfinder, BPP, Branchpointer, LaBranchoR and RNABPS were developed during the last decade. Here, we evaluated their capability to detect the position of BPs, and also to predict the impact on splicing of variants occurring upstream of 3'ss.

RESULTS

We used a large set of constitutive and alternative human 3'ss collected from Ensembl (n = 264,787 3'ss) and from in-house RNAseq experiments (n = 51,986 3'ss). We also gathered an unprecedented collection of functional splicing data for 120 variants (62 unpublished) occurring in BP areas of disease-causing genes. Branchpointer showed the best performance to detect the relevant BPs upstream of constitutive and alternative 3'ss (99.48 and 65.84% accuracies, respectively). For variants occurring in a BP area, BPP emerged as having the best performance to predict effects on mRNA splicing, with an accuracy of 89.17%.

CONCLUSIONS

Our investigations revealed that Branchpointer was optimal to detect BPs upstream of 3'ss, and that BPP was most relevant to predict splicing alteration due to variants in the BP area.

摘要

背景

分支点 (BP) 位于接受体剪接位点 (3' ss) 上游的短基序内,是成熟 mRNA 剪接所必需的。在过去的十年中,已经开发了几种专门用于 BP 的生物信息学工具,包括 HSF、SVM-BPfinder、BPP、Branchpointer、LaBranchoR 和 RNABPS。在这里,我们评估了它们检测 BP 位置的能力,以及预测 3' ss 上游变体对剪接影响的能力。

结果

我们使用了从 Ensembl(n=264787 个 3' ss)和内部 RNAseq 实验(n=51986 个 3' ss)收集的大量组成型和替代人类 3' ss。我们还收集了 120 个变体(62 个未发表)在致病基因的 BP 区域的功能剪接数据,这是前所未有的。Branchpointer 在检测组成型和替代 3' ss 上游的相关 BP 方面表现最佳(准确性分别为 99.48%和 65.84%)。对于发生在 BP 区域的变体,BPP 是预测 mRNA 剪接效应的最佳工具,准确率为 89.17%。

结论

我们的研究表明,Branchpointer 是检测 3' ss 上游 BP 的最佳工具,而 BPP 是预测 BP 区域变体对剪接改变最相关的工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e127/6988378/84ac00f02f11/12864_2020_6484_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e127/6988378/20e8f977ae96/12864_2020_6484_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e127/6988378/94ee060673c6/12864_2020_6484_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e127/6988378/231e712d83cd/12864_2020_6484_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e127/6988378/84ac00f02f11/12864_2020_6484_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e127/6988378/20e8f977ae96/12864_2020_6484_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e127/6988378/94ee060673c6/12864_2020_6484_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e127/6988378/231e712d83cd/12864_2020_6484_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e127/6988378/84ac00f02f11/12864_2020_6484_Fig4_HTML.jpg

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