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Barsakis K, Babrzadeh F, Chi A, Mallempati K, Pickle W, Mindrinos M, Fernández-Viña MA. Complete nucleotide sequence characterization of DRB5 alleles reveals a homogeneous allele group that is distinct from other DRB genes. Hum Immunol 2019; 80:437-448. [PMID: 30954494 PMCID: PMC6622178 DOI: 10.1016/j.humimm.2019.04.001] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2019] [Revised: 03/23/2019] [Accepted: 04/01/2019] [Indexed: 01/28/2023]
Abstract
Next Generation Sequencing allows for testing and typing of entire genes of the HLA region. A better and comprehensive sequence assessment can be achieved by the inclusion of full gene sequences of all the common alleles at a given locus. The common alleles of DRB5 are under-characterized with the full exon-intron sequence of two alleles available. In the present study the DRB5 genes from 18 subjects alleles were cloned and sequenced; haplotype analysis showed that 17 of them had a single copy of DRB5 and one consanguineous subject was homozygous at all HLA loci. Methodological approaches including robust and efficient long-range PCR amplification, molecular cloning, nucleotide sequencing and de novo sequence assembly were combined to characterize DRB5 alleles. DRB5 sequences covering from 5'UTR to the end of intron 5 were obtained for DRB5*01:01, 01:02 and 02:02; partial coverage including a segment spanning exon 2 to exon 6 was obtained for DRB5*01:03, 01:08N and 02:03. Phylogenetic analysis of the generated sequences showed that the DRB5 alleles group together and have distinctive differences with other DRB loci. Novel intron variants of DRB5*01:01:01, 01:02 and 02:02 were identified. The newly characterized DRB5 intron variants of each DRB5 allele were found in subjects harboring distinct associations with alleles of DRB1, B and/or ethnicity. The new information provided by this study provides reference sequences for HLA typing methodologies. Extending sequence coverage may lead to identify the disease susceptibility factors of DRB5 containing haplotypes while the unexpected intron variations may shed light on understanding of the evolution of the DRB region.
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Affiliation(s)
- Konstantinos Barsakis
- Stanford Blood Center, Stanford University School of Medicine, Palo Alto, CA 94304, USA; Department of Biology, University of Crete, Heraklion, Crete 71003, Greece
| | - Farbod Babrzadeh
- Stanford Genome Technology Center, Stanford University School of Medicine, Palo Alto, CA 94304, USA
| | - Anjo Chi
- Stanford Genome Technology Center, Stanford University School of Medicine, Palo Alto, CA 94304, USA
| | - Kalyan Mallempati
- Stanford Blood Center, Stanford University School of Medicine, Palo Alto, CA 94304, USA
| | - William Pickle
- Stanford Blood Center, Stanford University School of Medicine, Palo Alto, CA 94304, USA
| | - Michael Mindrinos
- Stanford Genome Technology Center, Stanford University School of Medicine, Palo Alto, CA 94304, USA
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Messoussi M, Hajjej A, Ammar Elgaaied AB, Almawi WY, Arnaiz-Villena A, Hmida S, Fadhlaoui-Zid K. HLA Class II Allele and Haplotype Diversity in Libyans and Their Genetic Relationships with Other Populations. Immunol Invest 2019; 48:875-892. [PMID: 31161824 DOI: 10.1080/08820139.2019.1614950] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Background: Libya witnessed the succession of many civilizations and ethnic groups throughout history, thereby questioning the origin of present-day Libyans. Indeed, they were considered Africans given the geographical position of the country, Arabs at the cultural level, and Berbers because of the notable presence of Berber tribes. Genetic anthropology studies investigating the origin of Libyans were rarely reported, and thus little was known about the population structure of current Libyans, particularly at autosomic markers level. Methods: We examined HLA class II (DRB1, DQB1) gene profiles of 101 unrelated Libyans, and compared them with Arab-speaking communities and with Sub-Saharan and Mediterranean populations using Neighbour-Joining dendrograms, genetic distances, correspondence, and haplotype analysis. Results: Of the 42 DRB1 alleles identified, DRB1*07:01 (14.36%), DRB1*03:01 (12.38%) were the most frequent, while DQB1*02:01 (24.17%), DQB1*02:02 (13.86%), and DQB1*03:01 (12.38%) were the most frequent of the 17 DQB1 alleles detected. DRB1*03:01-DQB1*02:01 (6.93%), DRB1*07:01-DQB1*02:02 (4.45%), and DRB1*04:03-DQB1*03:02 (3.46%) were the most frequent DRB1-DQB1 haplotypes. Conclusion: Libyans appear to be closely related to North Africans, Saudis, and Iberians, but distinct from Levantine Arabs, East Mediterraneans, and Sub-Saharan Africans. This indicates limited genetic contribution of Levantine Arabs and Sub-Saharans on the makeup of Libyan gene pool. Our study confirmed genetic heterogeneity among Arab populations, with three identified groups. The first comprises North Africans, Saudis, and Kuwaitis who were related to Iberians and West Mediterraneans, while the second consists of Levantine Arabs who were close to East Mediterraneans, and the third contained Sudanese and Comorians, with a close relatedness to Sub-Saharans.
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Affiliation(s)
- Monia Messoussi
- Laboratory of Genetics, Immunology, and Human Pathologies, Faculty of Science of Tunis, University Tunis El Manar , Tunis , Tunisia
| | - Abdelhafidh Hajjej
- Department of Immunogenetics, National Blood Transfusion Center , Tunis , Tunisia
| | - Amel Ben Ammar Elgaaied
- Laboratory of Genetics, Immunology, and Human Pathologies, Faculty of Science of Tunis, University Tunis El Manar , Tunis , Tunisia
| | - Wassim Y Almawi
- School of Medicine, Nazarbayev University , Astana , Kazakhstan.,Department of Biological Sciences, Faculty of Sciences, El-Manar University , Tunis , Tunisia
| | - Antonio Arnaiz-Villena
- Department of Immunology, University Complutense, School of Medicine, Madrid Regional Blood Center , Madrid , Spain
| | - Slama Hmida
- Department of Immunogenetics, National Blood Transfusion Center , Tunis , Tunisia
| | - Karima Fadhlaoui-Zid
- Laboratory of Genetics, Immunology, and Human Pathologies, Faculty of Science of Tunis, University Tunis El Manar , Tunis , Tunisia.,Department of Biology, College of Science, Taibah University , Al Madinah Al Monawarah , Saudi Arabia.,Higher Institute of Biotechnology of Beja, University of Jendouba , Beja , Tunisia
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Hamed CT, Meiloud G, Veten F, Hadrami M, Ghaber SM, Boussaty EC, Habti N, Houmeida A. HLA class I (-A, -B, -C) and class II (-DR, -DQ) polymorphism in the Mauritanian population. BMC MEDICAL GENETICS 2018; 19:2. [PMID: 29298671 PMCID: PMC5751816 DOI: 10.1186/s12881-017-0514-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 09/08/2017] [Accepted: 12/19/2017] [Indexed: 11/10/2022]
Abstract
BACKGROUND HLA antigens have been widely studied for their role in transplantation biology, human diseases and population diversity. The aim of this study was to provide the first profile of HLA class I and class II alleles in the Mauritanian population. METHODS HLA typing was carried in 93 healthy Mauritanian blood donors, using single specific primer amplification (PCR-SSP). RESULTS Occurrences of the main HLA class I (-A, -B, -C) and class II (-DR, -DQ) antigens in the general population showed that out of the 17 HLA-A allele groups detected, five main HLA-A allele groups: A*02 (18.42%), A*01 (14.04%), A*23 (14.04%), A*30 (13.16%) and A*29 (12.28%) were the most common identified along other 12 relatively minor allele groups. Twenty three allele groups were observed in the locus B of which B*07 (13.46%) was the most prevalent followed by B*15, B*35, B*08 and B*27 all, with a frequency between 7 to 8%. Three prevalent HLA-C allele groups (C*02: 35.09%, C*07: 20.19% and C*06: 13.6%) were detected. The main HLA class II observed allele groups were: DRB1*13 (27.42%), DRB1*03 (24.73%), DRB1*11 (13.98%), DQB1*03 (36.03%), DQB1*02 (22.06%) and DQB1*05 (18.8%). Except for few haplotype in class I (A*02-B*07: 4.45%, A*02-C02: 10%, A*23-C*02: 8.8%, B*07-C*02: 8.8%, B*15-C*02: 8.8%) and in class II (DRB1*13-DQB1*06: 11.94%, DRB1*03-DQB1*02:11.19% and DRB1*03-DQB1*03: 10.45%), the majority of locus combination were in the range of 2-3%. A single predominant haplotype C*02-DRB1*03 (16.67%) was found. CONCLUSIONS These results, in agreement with previous data using different tissues markers, underlined the ethnic heterogeneity of the Mauritanian population.
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Affiliation(s)
- Cheikh Tijani Hamed
- Unité de Recherche sur les Biomarqueurs dans la Population Mauritanienne, Université des Sciences de Technologies et de médecine (USTM), Nouakchott, Mauritanie.,Centre National de Transfusion Sanguine, Nouakchott, Mauritanie
| | - Ghlana Meiloud
- Unité de Recherche sur les Biomarqueurs dans la Population Mauritanienne, Université des Sciences de Technologies et de médecine (USTM), Nouakchott, Mauritanie
| | - Fatimetou Veten
- Unité de Recherche sur les Biomarqueurs dans la Population Mauritanienne, Université des Sciences de Technologies et de médecine (USTM), Nouakchott, Mauritanie
| | - Mouna Hadrami
- Unité de Recherche sur les Biomarqueurs dans la Population Mauritanienne, Université des Sciences de Technologies et de médecine (USTM), Nouakchott, Mauritanie
| | - Sidi M Ghaber
- Laboratoire d'hématologie Faculté de Médecine, Université des Sciences de Technologies et de médecine (USTM), Nouakchott, Mauritanie
| | - Ely C Boussaty
- Unité de Recherche sur les Biomarqueurs dans la Population Mauritanienne, Université des Sciences de Technologies et de médecine (USTM), Nouakchott, Mauritanie
| | - Norddine Habti
- Laboratoire d'hématologie et de génie génétique et cellulaire, Faculté de Médecine et de Pharmacie de Casablanca, Université HASSAN II-Ain Chock, Casablanca, Maroc
| | - Ahmed Houmeida
- Unité de Recherche sur les Biomarqueurs dans la Population Mauritanienne, Université des Sciences de Technologies et de médecine (USTM), Nouakchott, Mauritanie.
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Shao LN, Zhang ST, Yu WJ, Zhou SH, Duan Y, Pan LZ, Wang N, Liu M. High-resolution HLA-A, -B and -DRB1 allele and haplotype frequencies in 7823 Han marrow donors of Liaoning province, China. HLA 2017; 89:293-300. [PMID: 28296231 DOI: 10.1111/tan.13006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2016] [Revised: 01/29/2017] [Accepted: 02/15/2017] [Indexed: 11/28/2022]
Abstract
BACKGROUND The human leukocyte antigen (HLA) system is the most polymorphic gene cluster in humans. High-resolution donor-recipient matching for HLA genes improves patient survival after unrelated hematopoietic stem cell transplantation. MATERIALS AND METHODS In this study, we analyzed the high-resolution allele and haplotype frequencies at the HLA-A, -B and -DRB1 loci in the Liaoning Han population and analyzed its relationships with other populations. RESULTS The 3 most frequent alleles at the HLA-A, -B and -DRB1 loci were A*24:02, A*02:01:01G, A*11:01; B*13:02, B*46:01, B*40:01:01G; DRB1*09:01, DRB1*15:01 and DRB1*07:01, respectively. The most frequent 2-locus haplotypes were A*30:01-B*13:02 and B*13:02-DRB1*07:01. A*30:01-B*13:02-DRB1*07:01 was determined to be the predominant 3-locus haplotype. Hot maps and multiple correspondence analyses based on the frequencies of HLA specificities, which allow statistical visualization of dependent and independent relationships among variables, indicate that the Liaoning Han population is closely related to Northern populations of China and shows relative close relationships with Asian populations. CONCLUSION These data will provide an outline of the HLA characteristics of healthy individuals in our region and help bone marrow transplantation patients find suitable HLA-matched donors.
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Affiliation(s)
- L-N Shao
- Dalian Blood Center, Dalian, Liaoning, China
| | - S-T Zhang
- Dalian Blood Center, Dalian, Liaoning, China
| | - W-J Yu
- Dalian Blood Center, Dalian, Liaoning, China
| | - S-H Zhou
- Dalian Blood Center, Dalian, Liaoning, China
| | - Y Duan
- Dalian Blood Center, Dalian, Liaoning, China
| | - L-Z Pan
- Dalian Blood Center, Dalian, Liaoning, China
| | - N Wang
- Dalian Blood Center, Dalian, Liaoning, China
| | - M Liu
- Department of Cell Biology, Dalian Medical University, Dalian, China
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Hajjej A, Almawi WY, Hattab L, Hmida S. Anthropological analysis of Tunisian populations as inferred from HLA class I and class II genetic diversity: A meta-analysis. Immunol Lett 2017; 185:12-26. [PMID: 28274795 DOI: 10.1016/j.imlet.2017.02.014] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2017] [Revised: 02/12/2017] [Indexed: 11/26/2022]
Abstract
Despite their importance, anthropological meta-analyses which allow for comprehensive evaluation of the relationships of a given population were rare. This meta-analysis evaluates the origin of Tunisians using polymorphic profile of HLA class I (A, B), and class II (DRB1, DQB1) genes, in historical, social and cultural context, and is the only analysis in the Middle East-North Africa (MENA) region. A total of 20 eligible populations were selected from several databases, and included representing 2553 Tunisian individuals, who were compared with Mediterranean and sub-Saharan populations. In total, 204 HLA alleles were detected in Tunisians, which comprised 54 HLA-A, 76 HLA-B, 50 DRB1, and 24 DQB1 alleles. The most frequent alleles were A*02:01(24.72%) in Berbers of Zrawa, B*50:01 (13.90.11%) in Tunisian-So, DRB1*07:01 (28.66%) in Ghannouchians, and DQB1*02:01 (42.79%) in Tunisians-H. The A, B, DRB, and DQB1 genotypes of 420 individuals were further subjected to a selection study. Despite the relatively large sample size, the loci depicted non-significant negative Fnd values, an indication of overall trend to balancing selection or gene flow. Except for Berbers of Djerba, dendrograms, correspondence analyses, genetic distances and haplotype analysis demonstrated the close relatedness of Berbers, Southern and Northern Tunisians, and strong relatedness was evident to Western Mediterranean, North African and Iberian populations, but not Sub-Saharans and Eastern Mediterranean populations, including Arabs. Collectively, this suggests that the contribution of Arabs and sub-Saharans to the present Tunisian gene pool is low. In addition, all Mediterranean populations depict a typical Mediterranean substratum, except for Greeks.
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Affiliation(s)
- Abdelhafidh Hajjej
- Department of Immunogenetics, National Blood Transfusion Center, Tunis, Tunisia.
| | - Wassim Y Almawi
- Department of Medical Biochemistry, College of Medicine and Medical Sciences, Arabian Gulf University, Manama, Bahrain
| | - Lasmar Hattab
- Department of Medical Analysis, Regional Hospital of Gabes, Tunisia
| | - Slama Hmida
- Department of Immunogenetics, National Blood Transfusion Center, Tunis, Tunisia
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6
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Zhou XY, Zhu FM, Li JP, Mao W, Zhang DM, Liu ML, Hei AL, Dai DP, Jiang P, Shan XY, Zhang BW, Zhu CF, Shen J, Deng ZH, Wang ZL, Yu WJ, Chen Q, Qiao YH, Zhu XM, Lv R, Li GY, Li GL, Li HC, Zhang X, Pei B, Jiao LX, Shen G, Liu Y, Feng ZH, Su YP, Xu ZX, Di WY, Jiang YQ, Fu HL, Liu XJ, Liu X, Zhou MZ, Du D, Liu Q, Han Y, Zhang ZX, Cai JP. High-Resolution Analyses of Human Leukocyte Antigens Allele and Haplotype Frequencies Based on 169,995 Volunteers from the China Bone Marrow Donor Registry Program. PLoS One 2015; 10:e0139485. [PMID: 26421847 PMCID: PMC4589403 DOI: 10.1371/journal.pone.0139485] [Citation(s) in RCA: 66] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2015] [Accepted: 09/13/2015] [Indexed: 11/18/2022] Open
Abstract
Allogeneic hematopoietic stem cell transplantation is a widely used and effective therapy for hematopoietic malignant diseases and numerous other disorders. High-resolution human leukocyte antigen (HLA) haplotype frequency distributions not only facilitate individual donor searches but also determine the probability with which a particular patient can find HLA-matched donors in a registry. The frequencies of the HLA-A, -B, -C, -DRB1, and -DQB1 alleles and haplotypes were estimated among 169,995 Chinese volunteers using the sequencing-based typing (SBT) method. Totals of 191 HLA-A, 244 HLA-B, 146 HLA-C, 143 HLA-DRB1 and 47 HLA-DQB1 alleles were observed, which accounted for 6.98%, 7.06%, 6.46%, 9.11% and 7.91%, respectively, of the alleles in each locus in the world (IMGT 3.16 Release, Apr. 2014). Among the 100 most common haplotypes from the 169,995 individuals, nine distinct haplotypes displayed significant regionally specific distributions. Among these, three were predominant in the South China region (i.e., the 20th, 31st, and 81sthaplotypes), another three were predominant in the Southwest China region (i.e., the 68th, 79th, and 95th haplotypes), one was predominant in the South and Southwest China regions (the 18th haplotype), one was relatively common in the Northeast and North China regions (the 94th haplotype), and one was common in the Northeast, North and Northwest China (the 40th haplotype). In conclusion, this is the first to analyze high-resolution HLA diversities across the entire country of China, based on a detailed and complete data set that covered 31 provinces, autonomous regions, and municipalities. Specifically, we also evaluated the HLA matching probabilities within and between geographic regions and analyzed the regional differences in the HLA diversities in China. We believe that the data presented in this study might be useful for unrelated HLA-matched donor searches, donor registry planning, population genetic studies, and anthropogenesis studies.
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Affiliation(s)
- Xiao-Yang Zhou
- The Key Laboratory of Geriatrics, Beijing hospital & Beijing Institute of Geriatrics, Ministry of Health, Beijing, China
- Quality control laboratory, China Bone Marrow Program, Beijing, China
| | - Fa-Ming Zhu
- HLA Laboratory, Zhejiang Blood Center, Hangzhou, Zhejiang, China
| | - Jian-Ping Li
- HLA Laboratory, Liaoning Blood Center, Shenyang, Liaoning, China
| | - Wei Mao
- HLA Laboratory, Chongqing Blood Center, Chongqing, China
| | - De-Mei Zhang
- HLA Laboratory, Taiyuan Red Cross Blood Center, Taiyuan, Shanxi, China
| | - Meng-Li Liu
- HLA Laboratory, Shaanxi Blood Center, Xi’an, Shaanxi, China
| | - Ai-Lian Hei
- The Key Laboratory of Geriatrics, Beijing hospital & Beijing Institute of Geriatrics, Ministry of Health, Beijing, China
- Quality control laboratory, China Bone Marrow Program, Beijing, China
| | - Da-Peng Dai
- The Key Laboratory of Geriatrics, Beijing hospital & Beijing Institute of Geriatrics, Ministry of Health, Beijing, China
- Quality control laboratory, China Bone Marrow Program, Beijing, China
| | - Ping Jiang
- The Key Laboratory of Geriatrics, Beijing hospital & Beijing Institute of Geriatrics, Ministry of Health, Beijing, China
- Quality control laboratory, China Bone Marrow Program, Beijing, China
| | - Xiao-Yan Shan
- HLA Laboratory, Beijing Red Cross Blood Center, Beijing, China
| | - Bo-Wei Zhang
- HLA Laboratory, Henan Blood Center, Zhengzhou, Henan, China
| | - Chuan-Fu Zhu
- HLA Laboratory, Shandong Blood Center, Jinan, Shandong
| | - Jie Shen
- HLA Laboratory, the First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Zhi-Hui Deng
- The Key Laboratory of Histocompatibility and Immunogenetics, Shenzhen Blood Center, Shenzhen, Guangdong, China
| | - Zheng-Lei Wang
- HLA Laboratory, Hebei Blood Center, Shijiazhuang, Hebei, China
| | - Wei-Jian Yu
- HLA Laboratory, Dalian Red Cross Blood Center, Dalian, Liaoning, China
| | - Qiang Chen
- HLA Laboratory, Institute of Blood Transfusion, Chinese Academy of Medical Sciences & Peking Union Medical College, Chengdu, Sichuan, China
| | - Yan-Hui Qiao
- HLA Laboratory, Xinjiang Blood Center, Urumchi, Xinjiang, China
| | - Xiang-Ming Zhu
- HLA Laboratory, Kunming Blood Center, Kunming, Yunnan, China
| | - Rong Lv
- HLA Laboratory, Hefei Red Cross Blood Center, Hefei, Anhui, China
| | - Guo-Ying Li
- HLA Laboratory, Gansu Red Cross Blood Center, Lanzhou, Gansu, China
| | - Guo-Liang Li
- HLA Laboratory, Jiangxi Blood Center, Nanchang, Jiangxi, China
| | - Heng-Cong Li
- HLA Laboratory, Nanning Blood Center, Nanning, Guangxi, China
| | - Xu Zhang
- HLA Laboratory, Liaoning Blood Center, Shenyang, Liaoning, China
| | - Bin Pei
- HLA Laboratory, Xiamen Blood Center, Xiamen, Fujian, China
| | - Li-Xin Jiao
- HLA Laboratory, Changchun Blood Center, Changchun, Jilin, China
| | - Gang Shen
- HLA Laboratory, Wuhan Blood Center, Wuhan, Hubei, China
| | - Ying Liu
- HLA Laboratory, Harbin Red Cross Blood Center, Harbin, Heilongjiang, China
| | - Zhi-Hui Feng
- HLA Laboratory, Qingdao Blood Center, Qingdao, Shandong, China
| | - Yu-Ping Su
- HLA Laboratory, Yueyang Red Cross Blood Center, Yueyang, Hunan, China
| | - Zhao-Xia Xu
- HLA Laboratory, Changsha Blood Center, Changsha, Hunan, China
| | - Wen-Ying Di
- HLA Laboratory, Soochow Red Cross Blood Center, Suzhou, Jiangsu, China
| | - Yao-Qin Jiang
- HLA Laboratory, Shanghai Blood Center, Shanghai, China
| | - Hong-Lei Fu
- HLA Laboratory, BFR Transplant Diagnostic Service Center, Beijing China
| | - Xiang-Jun Liu
- HLA Laboratory, BFR Transplant Diagnostic Service Center, Beijing China
| | - Xiang Liu
- HLA Laboratory, CapitalBio Corporation, Beijing, China
| | - Mei-Zhen Zhou
- HLA Laboratory, Beijing Genomics Institute, Shenzhen, Guangdong, China
| | - Dan Du
- Department of HLA Technology, China Bone Marrow Program, Beijing, China
| | - Qi Liu
- Department of HLA Technology, China Bone Marrow Program, Beijing, China
| | - Ying Han
- Department of HLA Technology, China Bone Marrow Program, Beijing, China
| | - Zhi-Xin Zhang
- The Key Laboratory of Geriatrics, Beijing hospital & Beijing Institute of Geriatrics, Ministry of Health, Beijing, China
- Quality control laboratory, China Bone Marrow Program, Beijing, China
- * E-mail: (ZXZ); (JPC)
| | - Jian-Ping Cai
- The Key Laboratory of Geriatrics, Beijing hospital & Beijing Institute of Geriatrics, Ministry of Health, Beijing, China
- Quality control laboratory, China Bone Marrow Program, Beijing, China
- * E-mail: (ZXZ); (JPC)
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7
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Fernandez Vina MA, Hollenbach JA, Lyke KE, Sztein MB, Maiers M, Klitz W, Cano P, Mack S, Single R, Brautbar C, Israel S, Raimondi E, Khoriaty E, Inati A, Andreani M, Testi M, Moraes ME, Thomson G, Stastny P, Cao K. Tracking human migrations by the analysis of the distribution of HLA alleles, lineages and haplotypes in closed and open populations. Philos Trans R Soc Lond B Biol Sci 2012; 367:820-9. [PMID: 22312049 DOI: 10.1098/rstb.2011.0320] [Citation(s) in RCA: 68] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
The human leucocyte antigen (HLA) system shows extensive variation in the number and function of loci and the number of alleles present at any one locus. Allele distribution has been analysed in many populations through the course of several decades, and the implementation of molecular typing has significantly increased the level of diversity revealing that many serotypes have multiple functional variants. While the degree of diversity in many populations is equivalent and may result from functional polymorphism(s) in peptide presentation, homogeneous and heterogeneous populations present contrasting numbers of alleles and lineages at the loci with high-density expression products. In spite of these differences, the homozygosity levels are comparable in almost all of them. The balanced distribution of HLA alleles is consistent with overdominant selection. The genetic distances between outbred populations correlate with their geographical locations; the formal genetic distance measurements are larger than expected between inbred populations in the same region. The latter present many unique alleles grouped in a few lineages consistent with limited founder polymorphism in which any novel allele may have been positively selected to enlarge the communal peptide-binding repertoire of a given population. On the other hand, it has been observed that some alleles are found in multiple populations with distinctive haplotypic associations suggesting that convergent evolution events may have taken place as well. It appears that the HLA system has been under strong selection, probably owing to its fundamental role in varying immune responses. Therefore, allelic diversity in HLA should be analysed in conjunction with other genetic markers to accurately track the migrations of modern humans.
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Patarroyo ME, Bermúdez A, Patarroyo MA. Structural and Immunological Principles Leading to Chemically Synthesized, Multiantigenic, Multistage, Minimal Subunit-Based Vaccine Development. Chem Rev 2011; 111:3459-507. [DOI: 10.1021/cr100223m] [Citation(s) in RCA: 70] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Manuel Elkin Patarroyo
- Fundación Instituto de Inmunología de Colombia (FIDIC), Carrera 50, No. 26-00, Bogotá, Colombia
- Universidad Nacional de Colombia
| | - Adriana Bermúdez
- Fundación Instituto de Inmunología de Colombia (FIDIC), Carrera 50, No. 26-00, Bogotá, Colombia
- Universidad del Rosario
| | - Manuel Alfonso Patarroyo
- Fundación Instituto de Inmunología de Colombia (FIDIC), Carrera 50, No. 26-00, Bogotá, Colombia
- Universidad del Rosario
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9
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Collins EJ, Riddle DS. TCR-MHC docking orientation: natural selection, or thymic selection? Immunol Res 2009; 41:267-94. [PMID: 18726714 DOI: 10.1007/s12026-008-8040-2] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
T cell receptors (TCR) dock on their peptide-major histocompatibility complex (pMHC) targets in a conserved orientation. Since amino acid sidechains are the foundation of specific protein-protein interactions, a simple explanation for the conserved docking orientation is that key amino acids encoded by the TCR and MHC genes have been selected and maintained through evolution in order to preserve TCR/pMHC binding. Expectations that follow from the hypothesis that TCR and MHC evolved to interact are discussed in light of the data that both support and refute them. Finally, an alternative and equally simple explanation for the driving force behind the conserved docking orientation is described.
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Affiliation(s)
- Edward J Collins
- Department of Microbiology and Immunology, University of North Carolina at Chapel Hill, 804 Mary Ellen Jones Building, Chapel Hill, NC 27510, USA.
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10
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Single-molecule level analysis of the subunit composition of the T cell receptor on live T cells. Proc Natl Acad Sci U S A 2007; 104:17662-7. [PMID: 17971442 DOI: 10.1073/pnas.0700411104] [Citation(s) in RCA: 73] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
The T cell receptor (TCR) expressed on most T cells is a protein complex consisting of TCRalphabeta heterodimers that bind antigen and cluster of differentiation (CD) 3epsilondelta, epsilongamma, and zetazeta dimers that initiate signaling. A long-standing controversy concerns whether there is one, or more than one, alphabeta heterodimer per complex. We used a form of single-molecule spectroscopy to investigate this question on live T cell hybridomas. The method relies on detecting coincident fluorescence from single molecules labeled with two different fluorophores, as the molecules diffuse through a confocal volume. The fraction of events that are coincident above the statistical background is defined as the "association quotient," Q. In control experiments, Q was significantly higher for cells incubated with wheat germ agglutinin dual-labeled with Alexa488 and Alexa647 than for cells incubated with singly labeled wheat germ agglutinin. Similarly, cells expressing the homodimer, CD28, gave larger values of Q than cells expressing the monomer, CD86, when incubated with mixtures of Alexa488- and Alexa647-labeled antibody Fab fragments. T cell hybridomas incubated with mixtures of anti-TCRbeta Fab fragments labeled with each fluorophore gave a Q value indistinguishable from the Q value for CD86, indicating that the dominant form of the TCR comprises single alphabeta heterodimers. The values of Q obtained for CD86 and the TCR were low but nonzero, suggesting that there is transient or nonrandom confinement, or diffuse clustering of molecules at the T cell surface. This general method for analyzing the subunit composition of protein complexes could be extended to other cell surface or intracellular complexes, and other living cells.
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Felix NJ, Donermeyer DL, Horvath S, Walters JJ, Gross ML, Suri A, Allen PM. Alloreactive T cells respond specifically to multiple distinct peptide-MHC complexes. Nat Immunol 2007; 8:388-97. [PMID: 17322886 DOI: 10.1038/ni1446] [Citation(s) in RCA: 106] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2006] [Accepted: 01/31/2007] [Indexed: 01/07/2023]
Abstract
The molecular basis underlying the specificity of alloreactive T cells for peptide-major histocompatibility complex ligands has been elusive. Here we describe a screen of 60 I-E(k)-alloreactive T cells and 83 naturally processed peptides that identified 9 reactive T cells. Three of the T cells responded to multiple, distinct peptides that shared no sequence homology. These T cells recognized each peptide-major histocompatibility complex ligand specifically and used a distinct constellation of I-E(k) contact residues for each interaction. Our studies show that alloreactive T cells have a 'germline-encoded' capacity to recognize multiple, distinct ligands and thus show 'polyspecificity', not degeneracy. Our findings help to explain the high frequency of alloreactive T cells and provide insight into the nature of T cell specificity.
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Affiliation(s)
- Nathan J Felix
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, Missouri 63130, USA
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Cascalho M, Platt JL. B cells and B cell products-helping to restore cellular immunity? Transfus Med Hemother 2006; 33:45-49. [PMID: 16755301 PMCID: PMC1473962 DOI: 10.1159/000090196] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
T cells that provide vital protection against tumors, viruses and intracellular bacteria are thought to develop independently of B cells. However, recent discoveries suggest that development of T cells depends on B cells. One way B cells promote T cell development is by providing diverse peptides that may promote positive selection of thymocytes. Diverse peptides and B cells help in diversification of the T cell receptor repertoire and may decrease cross-reactivity in the mature T cell compartment. These new insights may provide the basis for the design of novel therapeutics.
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Affiliation(s)
- Marilia Cascalho
- Transplantation Biology Program and the Departments Surgery, Immunology and Pediatrics, Mayo Clinic College of Medicine, Rochester, Minnesota
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Crawford F, Huseby E, White J, Marrack P, Kappler JW. Mimotopes for alloreactive and conventional T cells in a peptide-MHC display library. PLoS Biol 2004; 2:E90. [PMID: 15094798 PMCID: PMC387264 DOI: 10.1371/journal.pbio.0020090] [Citation(s) in RCA: 60] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2003] [Accepted: 01/21/2004] [Indexed: 12/29/2022] Open
Abstract
The use of peptide libraries for the identification and characterization of T cell antigen peptide epitopes and mimotopes has been hampered by the need to form complexes between the peptides and an appropriate MHC molecule in order to construct a complete T cell ligand. We have developed a baculovirus-based peptide library method in which the sequence encoding the peptide is embedded within the genes for the MHC molecule in the viral DNA, such that insect cells infected with virus encoding a library of different peptides each displays a unique peptide-MHC complex on its surface. We have fished in such a library with two different fluorescent soluble T cell receptors (TCRs), one highly peptide specific and the other broadly allo-MHC specific and hypothesized to be much less focused on the peptide portion of the ligand. A single peptide sequence was selected by the former alphabetaTCR that, not unexpectedly, was highly related to the immunizing peptide. As hypothesized, the other alphabetaTCR selected a large family of peptides, related only by a similarity to the immunizing peptide at the p5 position. These findings have implications for the relative importance of peptide and MHC in TCR ligand recognition. This display method has broad applications in T cell epitope identification and manipulation and should be useful in general in studying interactions between complex proteins.
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Affiliation(s)
- Frances Crawford
- 1Howard Hughes Medical Institute, Integrated Department of ImmunologyNational Jewish Medical and Research Center, Denver, ColoradoUnited States of America
- 2Integrated Department of Immunology, University of Colorado Health Science CenterDenver, ColoradoUnited States of America
| | - Eric Huseby
- 1Howard Hughes Medical Institute, Integrated Department of ImmunologyNational Jewish Medical and Research Center, Denver, ColoradoUnited States of America
- 2Integrated Department of Immunology, University of Colorado Health Science CenterDenver, ColoradoUnited States of America
| | - Janice White
- 1Howard Hughes Medical Institute, Integrated Department of ImmunologyNational Jewish Medical and Research Center, Denver, ColoradoUnited States of America
| | - Philippa Marrack
- 1Howard Hughes Medical Institute, Integrated Department of ImmunologyNational Jewish Medical and Research Center, Denver, ColoradoUnited States of America
- 2Integrated Department of Immunology, University of Colorado Health Science CenterDenver, ColoradoUnited States of America
- 3Department of Biochemistry and Molecular Genetics, University of Colorado Health Science CenterDenver, ColoradoUnited States of America
| | - John W Kappler
- 1Howard Hughes Medical Institute, Integrated Department of ImmunologyNational Jewish Medical and Research Center, Denver, ColoradoUnited States of America
- 2Integrated Department of Immunology, University of Colorado Health Science CenterDenver, ColoradoUnited States of America
- 4Department of Pharmacology and the Program in Biomolecular Structure, University of Colorado Health Science CenterDenver, ColoradoUnited States of America
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Cao K, Moormann AM, Lyke KE, Masaberg C, Sumba OP, Doumbo OK, Koech D, Lancaster A, Nelson M, Meyer D, Single R, Hartzman RJ, Plowe CV, Kazura J, Mann DL, Sztein MB, Thomson G, Fernández-Viña MA. Differentiation between African populations is evidenced by the diversity of alleles and haplotypes of HLA class I loci. ACTA ACUST UNITED AC 2004; 63:293-325. [PMID: 15009803 DOI: 10.1111/j.0001-2815.2004.00192.x] [Citation(s) in RCA: 148] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
The allelic and haplotypic diversity of the HLA-A, HLA-B, and HLA-C loci was investigated in 852 subjects from five sub-Saharan populations from Kenya (Nandi and Luo), Mali (Dogon), Uganda, and Zambia. Distributions of genotypes at all loci and in all populations fit Hardy-Weinberg equilibrium expectations. There was not a single allele predominant at any of the loci in these populations, with the exception of A*3002 [allele frequency (AF) = 0.233] in Zambians and Cw*1601 (AF = 0.283) in Malians. This distribution was consistent with balancing selection for all class I loci in all populations, which was evidenced by the homozygosity F statistic that was less than that expected under neutrality. Only in the A locus in Zambians and the C locus in Malians, the AF distribution was very close to neutrality expectations. There were six instances in which there were significant deviations of allele distributions from neutrality in the direction of balancing selection. All allelic lineages from each of the class I loci were found in all the African populations. Several alleles of these loci have intermediate frequencies (AF = 0.020-0.150) and seem to appear only in the African populations. Most of these alleles are widely distributed in the African continent and their origin may predate the separation of linguistic groups. In contrast to native American and other populations, the African populations do not seem to show extensive allelic diversification within lineages, with the exception of the groups of alleles A*02, A*30, B*57, and B*58. The alleles of human leukocyte antigen (HLA)-B are in strong linkage disequilibrium (LD) with alleles of the C locus, and the sets of B/C haplotypes are found in several populations. The associations between A alleles with C-blocks are weaker, and only a few A/B/C haplotypes (A*0201-B*4501-Cw*1601; A*2301-B*1503-Cw*0202; A*7401-B* 1503-Cw*0202; A*2902-B*4201-Cw*1701; A*3001-B*4201-Cw*1701; and A*3601-B*5301-Cw*0401) are found in multiple populations with intermediate frequencies [haplotype frequency (HF) = 0.010-0.100]. The strength of the LD associations between alleles of HLA-A and HLA-B loci and those of HLA-B and HLA-C loci was on average of the same or higher magnitude as those observed in other non-African populations for the same pairs of loci. Comparison of the genetic distances measured by the distribution of alleles at the HLA class I loci in the sub-Saharan populations included in this and other studies indicate that the Luo population from western Kenya has the closest distance with virtually all sub-Saharan population so far studied for HLA-A, a finding consistent with the putative origin of modern humans in East Africa. In all African populations, the genetic distances between each other are greater than those observed between European populations. The remarkable current allelic and haplotypic diversity in the HLA system as well as their variable distribution in different sub-Saharan populations is probably the result of evolutionary forces and environments that have acted on each individual population or in their ancestors. In this regard, the genetic diversity of the HLA system in African populations poses practical challenges for the design of T-cell vaccines and for the transplantation medical community to find HLA-matched unrelated donors for patients in need of an allogeneic transplant.
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Affiliation(s)
- K Cao
- Department of Oncology, Georgetown University, Washington, DC, USA
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Huseby ES, Crawford F, White J, Kappler J, Marrack P. Negative selection imparts peptide specificity to the mature T cell repertoire. Proc Natl Acad Sci U S A 2003; 100:11565-70. [PMID: 14504410 PMCID: PMC208798 DOI: 10.1073/pnas.1934636100] [Citation(s) in RCA: 61] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
The T cell alphabeta receptor (TCR) recognizes foreign peptide antigens bound to proteins encoded in the MHC. The MHC portion of this complex contributes much to the footprint of the TCR on the ligand, yet T cells are usually very specific for individual foreign peptides. Here, we show that the development of peptide-specific T cells is not intrinsic to thymocytes that undergo thymic-positive selection but is an outcome of eliminating, through negative selection, thymocytes bearing TCRs with extensive peptide cross-reactivity. Hence, thymic-negative selection imposes peptide specificity on the mature T cell repertoire.
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Affiliation(s)
- Eric S Huseby
- Howard Hughes Medical Institute and Integrated Department of Immunology, National Jewish Medical and Research Center, Denver, CO 80206, USA
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Housset D, Malissen B. What do TCR-pMHC crystal structures teach us about MHC restriction and alloreactivity? Trends Immunol 2003; 24:429-37. [PMID: 12909456 DOI: 10.1016/s1471-4906(03)00180-7] [Citation(s) in RCA: 93] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Affiliation(s)
- Dominique Housset
- Laboratoire de Cristallographie et Cristallogénèse des Protéines, Institut de Biologie Structurale J.-P. Ebel, CEA-CNRS-UJF, 41 rue Jules Horowitz, F-38027 Grenoble Cedex 1, France
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Wang Z, Turner R, Baker BM, Biddison WE. MHC allele-specific molecular features determine peptide/HLA-A2 conformations that are recognized by HLA-A2-restricted T cell receptors. JOURNAL OF IMMUNOLOGY (BALTIMORE, MD. : 1950) 2002; 169:3146-54. [PMID: 12218132 DOI: 10.4049/jimmunol.169.6.3146] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
The structures of alphabeta TCRs bound to complexes of class I MHC molecules and peptide show that the TCRs make multiple contacts with the alpha1 and alpha2 helixes of the MHC. Previously we have shown that the A6 TCR in complex with the HLA-A2/Tax peptide has 15 contact sites on HLA-A2. Single amino acid mutagenesis of these contact sites demonstrated that mutation of only three amino acids clustered on the alpha1 helix (R65, K66, A69) disrupted recognition by the A6 TCR. In the present study we have asked whether TCRs that recognize four other peptides presented by HLA-A2 interact with the MHC in identical, similar, or different patterns as the A6 TCR. Mutants K66A and Q155A had the highest frequency of negative effects on lysis. A subset of peptide-specific CTL also selectively recognized mutants K66A or Q155A in the absence of exogenous cognate peptides, indicating that these mutations affected the presentation of endogenous peptide/HLA-A2 complexes. These findings suggest that most HLA-A2-restricted TCRs recognize surfaces on the HLA-A2/peptide complex that are dependent upon the side chains of K66 and Q155 in the central portion of the peptide binding groove. Crystallographic structures of several peptide/HLA-A2 structures have shown that the side chains of these critical amino acids that make contact with the A6 TCR also contact the bound peptide. Collectively, our results indicate that the generalized effects of changes at these critical amino acids are probably due to the fact that they can be directly contacted by TCRs as well as influence the binding and presentation of the bound peptides.
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Affiliation(s)
- Zichun Wang
- Molecular Immunology Section, Neuroimmunology Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 20892, USA
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