Literature DB >> 8376187

HLA class I sequence-based typing.

P Santamaria1, A L Lindstrom, M T Boyce-Jacino, S H Myster, J J Barbosa, A J Faras, S S Rich.   

Abstract

HLA oligogenotyping has been used successfully to characterize most phenotypically undetectable variants of class II genes. Limitations inherent to the class I system have, however, complicated the application of this and other molecular approaches to HLA class I typing. We have previously shown that HLA class II polymorphism can be analyzed by a SBT approach. Here we present a class I-SBT strategy that provides complete sequence information for the two most polymorphic exons of the HLA-A, -B, and -C alleles. HLA class I SBT is based on direct sequencing of PCR-amplified HLA-A, -B, and -C cDNAs and requires a total of six cDNA -PCR-sequencing reactions (two per locus) and 13 different oligonucleotides. Each combination of oligonucleotides per reaction results in locus-specific sequence ladders and allows identification of both alleles in heterozygotes. Application of HLA-A, HLA-B, and HLA-C SBT to 26 homozygous and 32 serologically heterozygous samples has resulted in the identification of 24 novel class I nucleotide sequences encoding 17 new major histocompatibility complex class I products. An unexpected high degree of heterogeneity was found at the HLA-C locus with 14 novel sequences. Although there was a good correlation between the serologic phenotypes and SBT results, HLA-C SBT of most HLA-C serologically homozygous samples (heterozygous for HLA-A and/or -B) revealed heterozygozity (six of eight). SBT, the first molecular typing approach that has been generalized to both class I and class II genes, may be of special interest in applications demanding high sensitivity and specificity, such as in paternity testing or in the evaluation of the effects of sequence allelism in the outcome of unrelated bone marrow transplantation.

Entities:  

Mesh:

Substances:

Year:  1993        PMID: 8376187     DOI: 10.1016/0198-8859(93)90141-m

Source DB:  PubMed          Journal:  Hum Immunol        ISSN: 0198-8859            Impact factor:   2.850


  14 in total

1.  Estimation of size of cord blood inventory based on high-resolution typing of HLAs.

Authors:  E Y Song; J Y Huh; S Y Kim; T G Kim; S Oh; J H Yoon; E Y Roh; M H Park; M S Kang; S Shin
Journal:  Bone Marrow Transplant       Date:  2014-04-28       Impact factor: 5.483

2.  High-throughput DNA typing of HLA-A, -B, -C, and -DRB1 loci by a PCR-SSOP-Luminex method in the Japanese population.

Authors:  Yoshiki Itoh; Nobuhisa Mizuki; Tsuyako Shimada; Fumihiro Azuma; Mitsuo Itakura; Koichi Kashiwase; Eri Kikkawa; Jerzy K Kulski; Masahiro Satake; Hidetoshi Inoko
Journal:  Immunogenetics       Date:  2005-11-08       Impact factor: 2.846

3.  HLA-Cw allele analysis by PCR-restriction fragment length polymorphism: study of known and additional alleles.

Authors:  Z Tatari; C Fortier; V Bobrynina; P Loiseau; D Charron; C Raffoux
Journal:  Proc Natl Acad Sci U S A       Date:  1995-09-12       Impact factor: 11.205

4.  Genome-wide association study reveals multiple nasopharyngeal carcinoma-associated loci within the HLA region at chromosome 6p21.3.

Authors:  Ka-Po Tse; Wen-Hui Su; Kai-Ping Chang; Ngan-Ming Tsang; Chia-Jung Yu; Petrus Tang; Lee-Chu See; Chuen Hsueh; Min-Lee Yang; Sheng-Po Hao; Hong-Yi Li; Ming-Hsi Wang; Li-Ping Liao; Lih-Chyang Chen; Sheue-Rong Lin; Timothy J Jorgensen; Yu-Sun Chang; Yin Yao Shugart
Journal:  Am J Hum Genet       Date:  2009-08-06       Impact factor: 11.025

5.  Human CD4+ T-cell repertoire of responses to influenza A virus hemagglutinin after recent natural infection.

Authors:  C M Gelder; K I Welsh; A Faith; J R Lamb; B A Askonas
Journal:  J Virol       Date:  1995-12       Impact factor: 5.103

6.  New insights into the role of MHC diversity in devil facial tumour disease.

Authors:  Amanda Lane; Yuanyuan Cheng; Belinda Wright; Rodrigo Hamede; Laura Levan; Menna Jones; Beata Ujvari; Katherine Belov
Journal:  PLoS One       Date:  2012-06-06       Impact factor: 3.240

7.  Cost-efficient multiplex PCR for routine genotyping of up to nine classical HLA loci in a single analytical run of multiple samples by next generation sequencing.

Authors:  Yuki Ozaki; Shingo Suzuki; Koichi Kashiwase; Atsuko Shigenari; Yuko Okudaira; Sayaka Ito; Anri Masuya; Fumihiro Azuma; Toshio Yabe; Satoko Morishima; Shigeki Mitsunaga; Masahiro Satake; Masao Ota; Yasuo Morishima; Jerzy K Kulski; Katsuyuki Saito; Hidetoshi Inoko; Takashi Shiina
Journal:  BMC Genomics       Date:  2015-04-18       Impact factor: 3.969

8.  Distributions of HLA-A and -B alleles and haplotypes in the Yi ethnic minority of Yunnan, China: relationship to other populations.

Authors:  Bo-feng Zhu; Guang Yang; Chun-mei Shen; Hai-xia Qin; Shun-zhi Liu; Ya-jun Deng; Shuan-liang Fan; Li-bin Deng; Feng Chen; Ping Zhang; Jie Fang; Li-ping Chen; Hong-dan Wang; Zhen-yuan Wang; Rudolf Lucas
Journal:  J Zhejiang Univ Sci B       Date:  2010-02       Impact factor: 3.066

9.  Evaluation of human leukocyte antigen-A (HLA-A), other non-HLA markers on chromosome 6p21 and risk of nasopharyngeal carcinoma.

Authors:  Wan-Lun Hsu; Ka-Po Tse; Sharon Liang; Yin-Chu Chien; Wen-Hui Su; Kelly J Yu; Yu-Juen Cheng; Ngan-Ming Tsang; Mow-Ming Hsu; Kai-Ping Chang; I-How Chen; Tzu-I Chen; Czau-Siung Yang; Alisa M Goldstein; Chien-Jen Chen; Yu-Sun Chang; Allan Hildesheim
Journal:  PLoS One       Date:  2012-08-07       Impact factor: 3.240

10.  The IMGT/HLA database.

Authors:  James Robinson; Jason A Halliwell; Hamish McWilliam; Rodrigo Lopez; Peter Parham; Steven G E Marsh
Journal:  Nucleic Acids Res       Date:  2012-10-17       Impact factor: 16.971

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.