Human leukocyte antigen (HLA) system is the most polymorphic region known in the human genome. In the present study, we analyzed for the first time the HLA-A gene polymorphisms defined by the high-resolution typing me...Human leukocyte antigen (HLA) system is the most polymorphic region known in the human genome. In the present study, we analyzed for the first time the HLA-A gene polymorphisms defined by the high-resolution typing methods-sequence-based typing (SBT) in 161 Northern Chinese Han people. A total of 74 different HLA-A gene types and 36 alleles were detected. The most frequent alleles were A*110101 (GP=0.2360), A*24020101 (GF=0.1646), and A*020101 (GF=0.1553); followed by A*3303 (GF=0.1180), A*3001 (GF=0.0590), and A*310102 (GF=0.0404). The frequencies of following alleles, A*0203, A*0205, A*0206, A*0207, A*030101, A*2423, A*2601, A*3201, and A*3301, are all higher than 0.0093. The homozygous alleles include A*020101, A*110101, A*24020101 and A*310102. Heterozygosity (H), polymorphism information content (PIC), discrimination power (DP) and probability of paternity exclusion (PPE) of HLA-A in the samples were calculated and their values were 0.8705, 0.8491, 0.6014, and 0.9475, respectively. These results by SBT analysis of HLA-A polymorphism in Northern Chinese Han population, especially the allele subtypes character, will be of great interest for clinical transplantation, disease-associated study and forensic identification. Implementation of high-resolution typing methods allows a significantly wider spectrum of HLA variation including rare alleles. This spectrum will further be extensively utilized in many fields.展开更多
Cone penetration testing (CPT) is a cost effective and popular tool for geotechnical site characterization. CPT consists of pushing at a constant rate an electronic penetrometer into penetrable soils and recording con...Cone penetration testing (CPT) is a cost effective and popular tool for geotechnical site characterization. CPT consists of pushing at a constant rate an electronic penetrometer into penetrable soils and recording cone bearing (q<sub>c</sub>), sleeve friction (f<sub>c</sub>) and dynamic pore pressure (u) with depth. The measured q<sub>c</sub>, f<sub>s</sub> and u values are utilized to estimate soil type and associated soil properties. A popular method to estimate soil type from CPT measurements is the Soil Behavior Type (SBT) chart. The SBT plots cone resistance vs friction ratio, R<sub>f</sub> [where: R<sub>f</sub> = (f<sub>s</sub>/q<sub>c</sub>)100%]. There are distortions in the CPT measurements which can result in erroneous SBT plots. Cone bearing measurements at a specific depth are blurred or averaged due to q<sub>c</sub> values being strongly influenced by soils within 10 to 30 cone diameters from the cone tip. The q<sub>c</sub>HMM algorithm was developed to address the q<sub>c</sub> blurring/averaging limitation. This paper describes the distortions which occur when obtaining sleeve friction measurements which can in association with q<sub>c</sub> blurring result in significant errors in the calculated R<sub>f</sub> values. This paper outlines a novel and highly effective algorithm for obtaining accurate sleeve friction and friction ratio estimates. The f<sub>c</sub> optimal filter estimation technique is referred to as the OSFE-IFM algorithm. The mathematical details of the OSFE-IFM algorithm are outlined in this paper along with the results from a challenging test bed simulation. The test bed simulation demonstrates that the OSFE-IFM algorithm derives accurate estimates of sleeve friction from measured values. Optimal estimates of cone bearing and sleeve friction result in accurate R<sub>f</sub> values and subsequent accurate estimates of soil behavior type.展开更多
目的:直接测序法及外显子3 DNA片段克隆测序定确认MICA新的等位基因MICA*002:04。方法:用组特异性引物分别扩增MICA基因,采用Sequence Base Typing(SBT)法分型技术及PCR片段克隆测序法对MICA多态性基因的外显子2、3、4、5进行双向测序...目的:直接测序法及外显子3 DNA片段克隆测序定确认MICA新的等位基因MICA*002:04。方法:用组特异性引物分别扩增MICA基因,采用Sequence Base Typing(SBT)法分型技术及PCR片段克隆测序法对MICA多态性基因的外显子2、3、4、5进行双向测序。结果:发现1个与MICA*002:01序列相近的新等位基因,在外显子3上有1个碱基位置与国际通用MICA数据库不相符。该基因与MICA*002:01相比在外显子3的碱基位置486出现突变(C→A),密码子位置20由GCC→GCA,相应编码氨基酸是同义突变。结论:DNA测序结果表明该基因序列为新的MICA等位基因,已提交GenBank,于2010年9月被世界卫生组织HLA因子命名委员会正式命名为MICA*002:04。展开更多
文摘Human leukocyte antigen (HLA) system is the most polymorphic region known in the human genome. In the present study, we analyzed for the first time the HLA-A gene polymorphisms defined by the high-resolution typing methods-sequence-based typing (SBT) in 161 Northern Chinese Han people. A total of 74 different HLA-A gene types and 36 alleles were detected. The most frequent alleles were A*110101 (GP=0.2360), A*24020101 (GF=0.1646), and A*020101 (GF=0.1553); followed by A*3303 (GF=0.1180), A*3001 (GF=0.0590), and A*310102 (GF=0.0404). The frequencies of following alleles, A*0203, A*0205, A*0206, A*0207, A*030101, A*2423, A*2601, A*3201, and A*3301, are all higher than 0.0093. The homozygous alleles include A*020101, A*110101, A*24020101 and A*310102. Heterozygosity (H), polymorphism information content (PIC), discrimination power (DP) and probability of paternity exclusion (PPE) of HLA-A in the samples were calculated and their values were 0.8705, 0.8491, 0.6014, and 0.9475, respectively. These results by SBT analysis of HLA-A polymorphism in Northern Chinese Han population, especially the allele subtypes character, will be of great interest for clinical transplantation, disease-associated study and forensic identification. Implementation of high-resolution typing methods allows a significantly wider spectrum of HLA variation including rare alleles. This spectrum will further be extensively utilized in many fields.
文摘Cone penetration testing (CPT) is a cost effective and popular tool for geotechnical site characterization. CPT consists of pushing at a constant rate an electronic penetrometer into penetrable soils and recording cone bearing (q<sub>c</sub>), sleeve friction (f<sub>c</sub>) and dynamic pore pressure (u) with depth. The measured q<sub>c</sub>, f<sub>s</sub> and u values are utilized to estimate soil type and associated soil properties. A popular method to estimate soil type from CPT measurements is the Soil Behavior Type (SBT) chart. The SBT plots cone resistance vs friction ratio, R<sub>f</sub> [where: R<sub>f</sub> = (f<sub>s</sub>/q<sub>c</sub>)100%]. There are distortions in the CPT measurements which can result in erroneous SBT plots. Cone bearing measurements at a specific depth are blurred or averaged due to q<sub>c</sub> values being strongly influenced by soils within 10 to 30 cone diameters from the cone tip. The q<sub>c</sub>HMM algorithm was developed to address the q<sub>c</sub> blurring/averaging limitation. This paper describes the distortions which occur when obtaining sleeve friction measurements which can in association with q<sub>c</sub> blurring result in significant errors in the calculated R<sub>f</sub> values. This paper outlines a novel and highly effective algorithm for obtaining accurate sleeve friction and friction ratio estimates. The f<sub>c</sub> optimal filter estimation technique is referred to as the OSFE-IFM algorithm. The mathematical details of the OSFE-IFM algorithm are outlined in this paper along with the results from a challenging test bed simulation. The test bed simulation demonstrates that the OSFE-IFM algorithm derives accurate estimates of sleeve friction from measured values. Optimal estimates of cone bearing and sleeve friction result in accurate R<sub>f</sub> values and subsequent accurate estimates of soil behavior type.
文摘目的:直接测序法及外显子3 DNA片段克隆测序定确认MICA新的等位基因MICA*002:04。方法:用组特异性引物分别扩增MICA基因,采用Sequence Base Typing(SBT)法分型技术及PCR片段克隆测序法对MICA多态性基因的外显子2、3、4、5进行双向测序。结果:发现1个与MICA*002:01序列相近的新等位基因,在外显子3上有1个碱基位置与国际通用MICA数据库不相符。该基因与MICA*002:01相比在外显子3的碱基位置486出现突变(C→A),密码子位置20由GCC→GCA,相应编码氨基酸是同义突变。结论:DNA测序结果表明该基因序列为新的MICA等位基因,已提交GenBank,于2010年9月被世界卫生组织HLA因子命名委员会正式命名为MICA*002:04。
