F9基因剪接位点共识区域中内含子突变造成的异常剪接模式研究
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1河南科技大学基础医学与法医学院,河南 洛阳 471023 ; 2.河南省血栓与止血国际联合实验室,河南 洛阳 471023 ; 3.哈尔滨医科大学细胞生物学教研室,黑龙江 哈尔滨 150081

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国家自然科学基金(31900412,82170133)


Mechanistic dissection of aberrant splicing patterns induced by intronic variants in consensus regions of the F9 gene splice sites
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1College of Basic Medicine and Forensic Medicine,Henan University of Science and Technology,Luoyang 471023 ; 2.Henan International Joint Laboratory of Thrombosis and Hemostasis,Luoyang 471023 ; 3.Department of Cell Biology,Harbin Medical University,Harbin 150081 ,China

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    摘要:

    目的:确定B型血友病致病基因F9的剪接位点共识序列,并筛选序列相关致病突变,以确定F9基因内含子中主要剪接调控位点。方法:从凝血因子Ⅸ(coagulation factor Ⅸ,FⅨ)突变数据库(Factor Ⅸ Variant Database)中收集内含子突变,依据F9基因剪接位点保守性分析筛选可能影响剪接的致病突变,重点关注患病人数多且致病效应强的突变位点所在区域,结合 3种RNA剪接预测软件对突变导致的剪接效应进行预测。之后,采用微型基因剪接检测体系,对所选突变的剪接效应进行体外检测并通过变性毛细管电泳检测不同转录本所占比例,以明确各突变剪接效应的差异,进而确定F9基因剪接共识序列中影响剪接的关键位点。针对具有蛋白编码能力的异常剪接体,构建体外表达体系,通过Western blot及活化部分凝血活酶时间综合评估异常剪接体的胞内表达、胞外分泌及凝血活性状态。结果:序列与突变分析确定F9基因外显子4剪接位点附近的15个突变为靶突变,微型基因剪接实验证实其中14个突变可导致异常剪接,对比软件预测结果,进一步证实计算机预测具有局限性,不能准确预测具体剪接模式及其比例。证实了内含子上经典位点GT-AG的保守性,同时发现供体端+5G同样有利于剪接位点的正确识别,而相对保守的+7A则未对剪接位点识别产生重要作用,此外,模拟经典“AG”序列的深层内含子突变会造成剪接识别错位,显著提高异常剪接比例。蛋白表达与活性分析结果显示,p.D93-G125delinsG和p.G94-D131del两种异常剪接突变体的抗原合成及活性状态与野生型相比差异均有统计学意义(P < 0.01)。结论:GT-AG是影响剪接调控的主要位点,F9基因内含子4剪接供体端非保守位点的+5G同样对剪接有调控作用。对不同突变造成剪接调控模式差异进行总结分析,可为大数据分析提供理论依据,并提高生物信息学预测的准确性。

    Abstract:

    Objective:To identify key splicing regulatory sites within introns of the F9 gene(the causative gene for hemophilia B) through the characterization of splice site consensus motifs and systematic screening for pathogenic variants in these regions. Methods: Based on the variations documented in the Factor Ⅸ Variant Database,we primarily focused on intronic variations that may influence pre-mRNA splicing. These variations were filtered through a comparative analysis based on sequence conservation and were associated with the severity of the disease. Variations located within highly conserved loci that were linked to severe hemophilia were selected as target variations and subjected to subsequent splicing predictions using three independent tools separately. The prediction results were then validated through minigene splicing assays,and specific splicing patterns were further investigated using denaturing capillary electrophoresis. For those in - frame aberrant splicing products,we assessed protein expression,protein secretion,and in vitro coagulation activity by Western blot and activated partial thromboplastin time. Results:We identified 15 variants located near the splicing site of exon 4 in the F9 gene as target variants through sequence and variant analysis. Minigene splicing assay confirmed that 14 of these variants could lead to abnormal splicing. In comparison with the bioinformatic prediction results,we further established that computational predictions exhibited limitations and could not accurately predict specific splicing patterns or their proportions. The classic GT-AG splice site on the intron was confirmed to be conserved. Additionally,we observed that +5G at the donor end facilitated correct recognition of the splicing site,whereas the relatively conserved +7A did not play a significant regulatory role in this recognition process. Furthermore,deep intronic variants mimicking the classic splice donor“AG”motif caused misalignment of splice site recognition,significantly increasing the proportion of abnormal splicing. Results from protein expression and activity analyses indicated notable differences in antigen synthesis and in vitro coagulation activity status between the two abnormal splicing variants of p.D93-G125delinsG and p.G94-D131del and those of the wild-type FⅨ(P < 0.01). Conclusion:The splice site(GT-AG)is pivotal in determining precise splicing. The less conserved +5G at the consensus region of the splice donor site in the intron 4 of the F9 gene also has a regulatory effect on splicing. Summarizing the differences in splice patterns caused by diverse variations can provide a solid theoretical basis for big data analysis and improve the accuracy of bioinformatics predictions.

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马金,沈滟,沈国民,高蒙. F9基因剪接位点共识区域中内含子突变造成的异常剪接模式研究[J].南京医科大学学报(自然科学版),2026,(1):55-67

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  • 收稿日期:2025-03-10
  • 最后修改日期:2025-05-06
  • 录用日期:2025-06-01
  • 在线发布日期: 2026-01-12
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