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从患者白细胞中分离的RNA中十个F8剪接突变的分子特征:计算机预测工具准确性评估

Molecular characterization of ten F8 splicing mutations in RNA isolated from patient's leucocytes: assessment of in silico prediction tools accuracy.

作者信息

Martorell L, Corrales I, Ramirez L, Parra R, Raya A, Barquinero J, Vidal F

机构信息

Gene and Cell Therapy, Vall d'Hebron Research Institute, Universitat Autònoma de Barcelona (VHIR-UAB), Barcelona, Spain.

Control of Stem Cell Potency, Institute for Bioengineering of Catalonia (IBEC), Barcelona, Spain.

出版信息

Haemophilia. 2015 Mar;21(2):249-257. doi: 10.1111/hae.12562. Epub 2015 Feb 5.

DOI:10.1111/hae.12562
PMID:25652415
Abstract

Although 8% of reported FVIII gene (F8) mutations responsible for haemophilia A (HA) affect mRNA processing, very few have been fully characterized at the mRNA level and/or systematically predicted their biological consequences by in silico analysis. This study is aimed to elucidate the effect of potential splice site mutations (PSSM) on the F8 mRNA processing, investigate its correlation with disease severity, and assess their concordance with in silico predictions. We studied the F8 mRNA from 10 HA patient's leucocytes with PSSM by RT-PCR and compared the experimental results with those predicted in silico. The mRNA analysis could explain all the phenotypes observed and demonstrated exon skipping in six cases (c.222G>A, c.601+1delG, c.602-11T>G, c.671-3C>G, c.6115+9C>G and c.6116-1G>A) and activation of cryptic splicing sites, both donor (c.1009+1G>A and c.1009+3A>C) and acceptor sites (c.266-3delC and c.5587-1G>A). In contrast, the in silico analysis was able to predict the score variation of most of the affected splice site, but the precise mechanism could only be correctly determined in two of the 10 mutations analysed. In addition, we have detected aberrant F8 transcripts, even in healthy controls, so this must be taken into account as they could mask the actual contribution of some PSSM. We conclude that F8 mRNA analysis using leucocytes still constitutes an excellent approach to investigate the transcriptional effects of the PSSM in HA, whereas prediction in silico is not always reliable for diagnostic decision-making.

摘要

尽管据报道,导致甲型血友病(HA)的FVIII基因(F8)突变中有8%会影响mRNA加工,但在mRNA水平上对其进行全面表征和/或通过计算机分析系统预测其生物学后果的却很少。本研究旨在阐明潜在剪接位点突变(PSSM)对F8 mRNA加工的影响,研究其与疾病严重程度的相关性,并评估其与计算机预测的一致性。我们通过RT-PCR研究了10例患有PSSM的HA患者白细胞中的F8 mRNA,并将实验结果与计算机预测结果进行了比较。mRNA分析可以解释所有观察到的表型,并在6例中证实了外显子跳跃(c.222G>A、c.601+1delG、c.602-11T>G、c.671-3C>G、c.6115+9C>G和c.6116-1G>A)以及隐蔽剪接位点的激活,包括供体位点(c.1009+1G>A和c.1009+3A>C)和受体位点(c.266-3delC和c.5587-1G>A)。相比之下,计算机分析能够预测大多数受影响剪接位点的评分变化,但在分析的10个突变中,只有2个能够正确确定其精确机制。此外,我们甚至在健康对照中也检测到了异常的F8转录本,因此在研究时必须考虑到这一点,因为它们可能会掩盖某些PSSM的实际影响。我们得出结论,使用白细胞进行F8 mRNA分析仍然是研究HA中PSSM转录效应的一种优秀方法,而计算机预测在诊断决策中并不总是可靠的。

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Molecular characterization of ten F8 splicing mutations in RNA isolated from patient's leucocytes: assessment of in silico prediction tools accuracy.从患者白细胞中分离的RNA中十个F8剪接突变的分子特征:计算机预测工具准确性评估
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