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DNA汇集法高效筛查Vel阴性稀有血型的研究

Study on screening for Vel-rare blood type by DNA pooling

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【作者】 刘太香刘衍春马玲赵芳张若洋史丽莉

【Author】 LIU Taixiang;LIU Yanchun;MA Ling;ZHAO Fang;ZHANG Ruoyang;SHI Lili;Jiangsu Province Blood Center;

【机构】 江苏省血液中心

【摘要】 目的通过汇集标本的方法,建立高效筛查稀有血型的试验体系。方法根据Vel阴性(Vel-)稀有血型产生的分子机制,分别设计可特异扩增Vel血型基因SMIM1野生型序列和缺失突变序列的2组引物;合成Vel-对照质粒。将对照质粒与不同数量的随机标本进行汇集,根据扩增结果确定合适的汇集标本数;用缺失突变序列的特异性引物扩增汇集标本,如出现特异性目的条带,则用2组引物进行拆分检测参与汇集的标本,确认基因型。限制性片段长度多态性聚合酶链反应(PCR-RFLP)和DNA测序用于验证筛查结果。结果结合单个随机标本的浓度,最终确定4个血样汇集的筛查体系,可将试验所用时间及检测费用降低4倍。我们在9 122例标本中筛查到1例Vel血型基因SMIM1 c.6480杂合缺失突变的个体。结论汇集方法的使用大大降低了筛查工作的时间和费用,可推广应用于具有类似分子机制的稀有血型的大规模筛查。

【Abstract】 Objective To screen for rare blood type by the method of DNA pooling. Methods According to the genetic basis of Vel-rare blood type,primers specific for the SMIM1 c.6480del allele and wide-type allele were designed. The control plasmid of Vel-was synthesized and functioned as a positive control. The control plasmid was mixed with a set number of random samples. Then,the PCR amplification result was detected by agarose gel electrophoresis to find an appropriate number of mixed random samples. Primers specific for the c.6480del allele were used to amplify the mixed samples. Both primers specific for c.6480del allele and wide-type allele were used to verify the genotype. PCR-RFLP and DNA sequencing were conducted to confirm the genotype. Results Taking into account the concentration of a single sample,four random samples were mixed as one template in a PCR-SSP reaction,which could reduce the time and financial cost of the screening system by four times. The screening of 9 122 blood donors revealed 1 individual who was heterozygous for the c.6480del allele. Conclusion DNA pooling can greatly reduce the time and financial cost and can be widely used for screening rare blood type with similar genetic basis.

【关键词】 Vel血型稀有血型汇集法筛查
【Key words】 Vel blood grouprare blood typeDNA pooling
  • 【文献出处】 中国输血杂志 ,Chinese Journal of Blood Transfusion , 编辑部邮箱 ,2017年02期
  • 【分类号】R446.6;R457.11
  • 【被引频次】2
  • 【下载频次】55
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