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Birtsas V, Batrinou A, Dinou A, Routsias J, Gennimata V, Iniotaki A, Spyropoulou M, Tsakris A. Distribution of MICA alleles and haplotypes associated with HLA-B in Greek population. Hum Immunol 2021; 82:588-592. [PMID: 33966912 DOI: 10.1016/j.humimm.2021.04.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Revised: 04/15/2021] [Accepted: 04/23/2021] [Indexed: 11/27/2022]
Abstract
INTRODUCTION The Major Histocompatibility Complex Class I-related chain A gene (MICA) is a highly polymorphic functional gene located close to the HLA-B locus. Certain MICA alleles have been related to inflammatory and autoimmune diseases while MICA antibodies have been implicated in organ allograft rejection or graft-versus-host disease (GVHD). AIM The aim of this study was to identify the frequencies of MICA alleles and MICA ~ HLA-B haplotypes in the Greek population since, as far as we know, these data are still limited. METHODS DNA was obtained from 277 unrelated healthy Greek individuals of Caucasian origin, volunteer donors of blood stem cells. HLA-B* and MICA* genotyping was performed by reverse PCR-SSOP. RESULTS A total of 18 MICA alleles were defined in the present study. The five most frequent alleles in the Greek population were MICA*008 (24.6%), MICA*009 (22.36%), MICA*018 (16.03%), MICA*002 (8.02%) and MICA*004 (7.17%) which altogether account for 77.8% of all alleles. The most common MICA ~ HLA-B haplotypes were MICA*018 ~ B*18 (12.5%) and MICA*009 ~ B*51(11.5%). CONCLUSIONS The five most frequent MICA alleles in the Greek population were *008, *009, *018, *002, *004. In other Caucasian populations, two of these alleles (*008, and *004) were observed in similar frequencies. MICA*002 was observed less frequently (8.02%) in the Greek population compared to other Caucasian groups (frequencies > 15%). Also, MICA*009 and MICA*018 had elevated frequencies (above 15%) whereas in other Caucasian populations they were found around 10% or less. These data may be important for the elucidation of the role that MICA polymorphisms play in organ and stem cell transplantation and to identify the relation of certain MICA with susceptibility to specific diseases.
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Affiliation(s)
- Vassilios Birtsas
- Department of Microbiology, Medical School, National and Kapodistrian University of Athens, Athens, Greece; National Tissue Typing Center, General Hospital of Athens "G. Gennimatas", Athens, Greece.
| | - Anthimia Batrinou
- Department of Biomedical Sciences and Department of Food Science and Technology, University of West Attica, Athens, Greece
| | - Amalia Dinou
- National Tissue Typing Center, General Hospital of Athens "G. Gennimatas", Athens, Greece
| | - John Routsias
- Department of Microbiology, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Vassiliki Gennimata
- Department of Microbiology, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Aliki Iniotaki
- National Tissue Typing Center, General Hospital of Athens "G. Gennimatas", Athens, Greece
| | - Maria Spyropoulou
- National Tissue Typing Center, General Hospital of Athens "G. Gennimatas", Athens, Greece
| | - Athanassios Tsakris
- Department of Microbiology, Medical School, National and Kapodistrian University of Athens, Athens, Greece
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Gavlovsky PJ, Tonnerre P, Gérard N, Nedellec S, Daman AW, McFarland BJ, Charreau B. Alternative Splice Transcripts for MHC Class I-like MICA Encode Novel NKG2D Ligands with Agonist or Antagonist Functions. THE JOURNAL OF IMMUNOLOGY 2016; 197:736-46. [PMID: 27342847 DOI: 10.4049/jimmunol.1501416] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2015] [Accepted: 05/28/2016] [Indexed: 11/19/2022]
Abstract
MHC class I chain-related proteins A and B (MICA and MICB) and UL16-binding proteins are ligands of the activating NKG2D receptor involved in cancer and immune surveillance of infection. Structurally, MICA/B proteins contain an α3 domain, whereas UL16-binding proteins do not. We identified novel alternative splice transcripts for MICA encoding five novel MICA isoforms: MICA-A, -B1, -B2, -C, and -D. Alternative splicing associates with MICA*015 and *017 and results from a point deletion (G) in the 5' splice donor site of MICA intron 4 leading to exon 3 and exon 4 skipping and/or deletions. These changes delete the α3 domain in all isoforms, and the α2 domain in the majority of isoforms (A, B1, C, and D). Endothelial and hematopoietic cells contained endogenous alternative splice transcripts and isoforms. MICA-B1, -B2, and -D bound NKG2D by surface plasmon resonance and were expressed at the cell surface. Functionally, MICA-B2 contains two extracellular domains (α1 and α2) and is a novel potent agonist ligand for NKG2D. We found that MICA-D is a new truncated form of MICA with weak affinity for NKG2D despite lacking α2 and α3 domains. MICA-D may functionally impair NKG2D activation by competing with full-length MICA or MICA-B2 for NKG2D engagement. Our study established NKG2D binding for recombinant MICA-B1 but found no function for this isoform. New truncated MICA isoforms exhibit a range of functions that may drive unexpected immune mechanisms and provide new tools for immunotherapy.
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Affiliation(s)
- Pierre-Jean Gavlovsky
- INSERM, UMR1064, LabEx Transplantex, LabEx Immunology-Graft-Oncology, and Hospital/University Institute European Center for Transplantation and Immunotherapy Sciences, Nantes, F44000 France; Centre Hospitalo-Universitaire Nantes, Institut de Transplantation et de Recherche en Transplantation-Urologie-Néphrologie, Institut de Transplantation et de Recherche en Transplantation-Urologie-Néphrologie, Nantes, F44000 France; L'Université Nantes Angers Le Mans, Université de Nantes, Faculté de Médecine, Nantes, F44000 France
| | - Pierre Tonnerre
- INSERM, UMR1064, LabEx Transplantex, LabEx Immunology-Graft-Oncology, and Hospital/University Institute European Center for Transplantation and Immunotherapy Sciences, Nantes, F44000 France; Centre Hospitalo-Universitaire Nantes, Institut de Transplantation et de Recherche en Transplantation-Urologie-Néphrologie, Institut de Transplantation et de Recherche en Transplantation-Urologie-Néphrologie, Nantes, F44000 France; L'Université Nantes Angers Le Mans, Université de Nantes, Faculté de Médecine, Nantes, F44000 France
| | - Nathalie Gérard
- INSERM, UMR1064, LabEx Transplantex, LabEx Immunology-Graft-Oncology, and Hospital/University Institute European Center for Transplantation and Immunotherapy Sciences, Nantes, F44000 France; Centre Hospitalo-Universitaire Nantes, Institut de Transplantation et de Recherche en Transplantation-Urologie-Néphrologie, Institut de Transplantation et de Recherche en Transplantation-Urologie-Néphrologie, Nantes, F44000 France; L'Université Nantes Angers Le Mans, Université de Nantes, Faculté de Médecine, Nantes, F44000 France
| | - Steven Nedellec
- L'Université Nantes Angers Le Mans, Université de Nantes, Faculté de Médecine, Nantes, F44000 France; Plateforme MicroPICell Structure Fédérative de Recherche Santé-Institut de Recherche Thérapeutique, Nantes F44000, France; and
| | - Andrew W Daman
- Department of Chemistry and Biochemistry, Seattle Pacific University, Seattle, WA 98119
| | - Benjamin J McFarland
- Department of Chemistry and Biochemistry, Seattle Pacific University, Seattle, WA 98119
| | - Béatrice Charreau
- INSERM, UMR1064, LabEx Transplantex, LabEx Immunology-Graft-Oncology, and Hospital/University Institute European Center for Transplantation and Immunotherapy Sciences, Nantes, F44000 France; Centre Hospitalo-Universitaire Nantes, Institut de Transplantation et de Recherche en Transplantation-Urologie-Néphrologie, Institut de Transplantation et de Recherche en Transplantation-Urologie-Néphrologie, Nantes, F44000 France; L'Université Nantes Angers Le Mans, Université de Nantes, Faculté de Médecine, Nantes, F44000 France;
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Abstract
Human and mouse NKG2D ligands (NKG2DLs) are absent or only poorly expressed by most normal cells but are upregulated by cell stress, hence, alerting the immune system in case of malignancy or infection. Although these ligands are numerous and highly variable (at genetic, genomic, structural, and biochemical levels), they all belong to the major histocompatibility complex class I gene superfamily and bind to a single, invariant, receptor: NKG2D. NKG2D (CD314) is an activating receptor expressed on NK cells and subsets of T cells that have a key role in the recognition and lysis of infected and tumor cells. Here, we review the molecular diversity of NKG2DLs, discuss the increasing appreciation of their roles in a variety of medical conditions, and propose several explanations for the evolutionary force(s) that seem to drive the multiplicity and diversity of NKG2DLs while maintaining their interaction with a single invariant receptor.
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Affiliation(s)
- Raphael Carapito
- ImmunoRhumatologie Moléculaire, INSERM UMR_S1109, LabEx TRANSPLANTEX, Centre de Recherche d'Immunologie et d'Hématologie, Faculté de Médecine, Fédération de Médecine Translationnelle de Strasbourg (FMTS), Université de Strasbourg, Strasbourg, France.,Laboratoire International Associé (LIA) INSERM, Strasbourg (France) - Nagano (Japan), Strasbourg, France.,Fédération Hospitalo-Universitaire (FHU) OMICARE, Strasbourg, France
| | - Seiamak Bahram
- ImmunoRhumatologie Moléculaire, INSERM UMR_S1109, LabEx TRANSPLANTEX, Centre de Recherche d'Immunologie et d'Hématologie, Faculté de Médecine, Fédération de Médecine Translationnelle de Strasbourg (FMTS), Université de Strasbourg, Strasbourg, France.,Laboratoire International Associé (LIA) INSERM, Strasbourg (France) - Nagano (Japan), Strasbourg, France.,Fédération Hospitalo-Universitaire (FHU) OMICARE, Strasbourg, France.,Laboratoire Central d'Immunologie, Pôle de Biologie, Nouvel Hôpital Civil, Hôpitaux Universitaires de Strasbourg, Strasbourg, France
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4
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Le Clerc S, Delaneau O, Coulonges C, Spadoni JL, Labib T, Laville V, Ulveling D, Noirel J, Montes M, Schächter F, Caillat-Zucman S, Zagury JF. Evidence after imputation for a role of MICA variants in nonprogression and elite control of HIV type 1 infection. J Infect Dis 2014; 210:1946-50. [PMID: 24939907 DOI: 10.1093/infdis/jiu342] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Past genome-wide association studies (GWAS) involving individuals with AIDS have mainly identified associations in the HLA region. Using the latest software, we imputed 7 million single-nucleotide polymorphisms (SNPs)/indels of the 1000 Genomes Project from the GWAS-determined genotypes of individuals in the Genomics of Resistance to Immunodeficiency Virus AIDS nonprogression cohort and compared them with those of control cohorts. The strongest signals were in MICA, the gene encoding major histocompatibility class I polypeptide-related sequence A (P = 3.31 × 10(-12)), with a particular exonic deletion (P = 1.59 × 10(-8)) in full linkage disequilibrium with the reference HCP5 rs2395029 SNP. Haplotype analysis also revealed an additive effect between HLA-C, HLA-B, and MICA variants. These data suggest a role for MICA in progression and elite control of human immunodeficiency virus type 1 infection.
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Affiliation(s)
- Sigrid Le Clerc
- Chaire de Bioinformatique, EA4627, Conservatoire National des Arts et Métiers
| | - Olivier Delaneau
- Département de Génétique et Développement, Faculté de Médecine, Université de Genève, Geneva, Switzerland
| | - Cédric Coulonges
- Chaire de Bioinformatique, EA4627, Conservatoire National des Arts et Métiers
| | - Jean-Louis Spadoni
- Chaire de Bioinformatique, EA4627, Conservatoire National des Arts et Métiers
| | - Taoufik Labib
- Chaire de Bioinformatique, EA4627, Conservatoire National des Arts et Métiers
| | - Vincent Laville
- Chaire de Bioinformatique, EA4627, Conservatoire National des Arts et Métiers
| | - Damien Ulveling
- Chaire de Bioinformatique, EA4627, Conservatoire National des Arts et Métiers
| | - Josselin Noirel
- Chaire de Bioinformatique, EA4627, Conservatoire National des Arts et Métiers
| | - Matthieu Montes
- Chaire de Bioinformatique, EA4627, Conservatoire National des Arts et Métiers
| | - François Schächter
- Chaire de Bioinformatique, EA4627, Conservatoire National des Arts et Métiers
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5
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Isobe M. Takayasu arteritis revisited: Current diagnosis and treatment. Int J Cardiol 2013; 168:3-10. [DOI: 10.1016/j.ijcard.2013.01.022] [Citation(s) in RCA: 107] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2012] [Revised: 12/21/2012] [Accepted: 01/19/2013] [Indexed: 11/29/2022]
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6
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Edinur H, Dunn P, Hammond L, Selwyn C, Brescia P, Askar M, Reville P, Velickovic Z, Lea R, Chambers G. HLA and MICA polymorphism in Polynesians and New Zealand Maori: Implications for ancestry and health. Hum Immunol 2013; 74:1119-29. [DOI: 10.1016/j.humimm.2013.06.011] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2013] [Revised: 05/14/2013] [Accepted: 06/07/2013] [Indexed: 11/27/2022]
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7
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Wenda S, Faé I, Sanchez-Mazas A, Nunes JM, Mayr WR, Fischer GF. The distribution of MICA alleles in an Austrian population: evidence for increasing polymorphism. Hum Immunol 2013; 74:1295-9. [PMID: 23777932 DOI: 10.1016/j.humimm.2013.06.013] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2013] [Revised: 04/26/2013] [Accepted: 06/07/2013] [Indexed: 10/26/2022]
Abstract
The Major Histocompatibility Complex Class I Chain-Related Gene A (MICA) is located 46.4 Kb centromeric to HLA-B locus on chromosome 6; 84 alleles have been described so far. To assess the distribution of MICA alleles in an Austrian population, 322 unrelated Austrian blood donors have been typed for MICA by direct sequencing of amplified exons 2-5; sequencing of exon 6 and separating alleles by haplotype specific primers or by cloning was performed to resolve ambiguities. HLA-B was typed at low level resolution and linkage disequilibrium was determined. We observed 20 already known and four novel MICA alleles. MICA*008:01/04 was the most frequent allele (42%), followed by MICA*002:01 (11%) and MICA*009:01 (9%), three alleles (MICA*029, *067 and *068) were observed only once. No deviation from the Hardy Weinberg equilibrium was observed. Linkage disequilibrium between MICA and HLA-B alleles was observed, most extensively between MICA*008:01/04 and HLA-B*07. Our population data are in agreement with other European populations. The fact that four novel alleles have been observed indicates that the polymorphism of MICA is larger than currently estimated.
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Affiliation(s)
- Sabine Wenda
- Department of Blood Group Serology and Transfusion Medicine, Medical University of Vienna, Vienna, Austria
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8
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Gao SQ, Yang BC, Xu YP, Deng ZH. A novel MICA allele,MICA*069, identified by sequence-based typing in a Chinese individual. ACTA ACUST UNITED AC 2013; 81:240-1. [DOI: 10.1111/tan.12078] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2012] [Revised: 12/16/2012] [Accepted: 01/29/2013] [Indexed: 11/28/2022]
Affiliation(s)
- S.-Q. Gao
- Immunogenetic Laboratory; Shenzhen Blood Center; Shenzhen; Guangdong; China
| | - B.-C. Yang
- Immunogenetic Laboratory; Shenzhen Blood Center; Shenzhen; Guangdong; China
| | - Y.-P. Xu
- Immunogenetic Laboratory; Shenzhen Blood Center; Shenzhen; Guangdong; China
| | - Z.-H. Deng
- Immunogenetic Laboratory; Shenzhen Blood Center; Shenzhen; Guangdong; China
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9
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The role of major histocompatibility complex class I chain-related gene A antibodies in organ transplantation. Curr Opin Organ Transplant 2009; 14:414-8. [PMID: 19610173 DOI: 10.1097/mot.0b013e32832d835e] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
PURPOSE OF REVIEW Major histocompatibility complex class I chain-related gene A (MICA) antigens are expressed on the endothelium, they are polymorphic and have been shown to be recognized by antibodies produced by transplant recipients. Methods for detection of these antibodies have become available. In the 15th International Histocompatibility Workshop, a study for MICA antibody testing and of MICA genotyping was organized. RECENT FINDINGS Antibodies against MICA antigens have been determined either using cells transfected with MICA alleles or recombinant MICA antigens. MICA epitopes were characterized by empirical study of human sera and by correlation with MICA polymorphic amino acids. Sera were absorbed with cells transfected with MICA alleles and site-directed mutagenesis was employed to analyze complex sera. A number of clinical studies have shown associations of antibodies against MICA with decreased survival of kidney transplants and in one investigation with acute rejection in recipients of heart allografts. SUMMARY In addition to the HLA antigens, which elicit a strong immune response against allografted organs, the MICA antigens may be recognized as foreign and induce the production of MICA-specific antibodies. Antibodies against MICA have been associated with a decrease in the survival of organ allografts. The results suggest the MICA antigens are transplantation antigens that can induce an immune response associated with graft failure.
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Tamaki S, Kawakami M, Yamanaka Y, Imai Y, Kawashima W, Yamamoto K, Kasuda S, Hatake K, Kirita T. MICA gene polymorphism not associated with nonsyndromic cleft lip with or without cleft palate in the Japanese population? Genet Test Mol Biomarkers 2009; 13:445-8. [PMID: 19594363 DOI: 10.1089/gtmb.2008.0148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
UNLABELLED Nonsyndromic cleft lip with or without cleft palate (NSCLP) is one of the most common birth defects. Despite its frequency, the etiology remains largely unknown. Most likely, both genetic and environmental factors contribute to this malformation. A polymorphic gene family, the major histocompatibility complex class I chain-related gene A (MICA), is located about 40 kb centromeric to the HLA-B gene. In this study, we analyzed the association between MICA gene polymorphisms and NSCLP in Japanese patients. METHODS The (GCT)n polymorphism of the MICA gene was investigated in 94 patients with NSCLP and 180 normal controls using polymerase chain reaction amplification and denaturing polyacrylamide gel electrophoresis. RESULTS Our results demonstrate that there are no differences in microsatellite allele frequency between NSCLP patients and controls. However, the microsatellite allele frequency of the MICA-A6 (p = 0.045) allele was increased in male patients, as compared with controls. Further, the MICA-A5 (p = 0.359) allele was also increased in female NSCLP patients. CONCLUSION These results suggest that the microsatellite allele frequencies of the MICA-A6 allele increased in male NSCLP patients. Although the MICA-A5 allele increased in female NSCLP patients, the increase was not statistically significant. These results suggest that the MICA gene could be one of the candidate genes for NSCLP.
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Affiliation(s)
- Shigehiro Tamaki
- Department of Oral and Maxillofacial Surgery, Nara Medical University, Kashihara, Nara, Japan.
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11
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Ribas F, Oliveira LA, Petzl-Erler ML, Bicalho MG. Major histocompatibility complex class I chain-related gene A polymorphism and linkage disequilibrium with HLA-B alleles in Euro-Brazilians. ACTA ACUST UNITED AC 2008; 72:532-8. [DOI: 10.1111/j.1399-0039.2008.01142.x] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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12
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High frequencies of alleles MICA*020 and MICA*027 in Amerindians and evidence of positive selection on exon 3. Genes Immun 2008; 9:697-705. [DOI: 10.1038/gene.2008.65] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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13
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Genomic location and characterisation of MIC genes in cattle. Immunogenetics 2008; 60:477-83. [PMID: 18548244 DOI: 10.1007/s00251-008-0306-2] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2008] [Accepted: 05/16/2008] [Indexed: 01/02/2023]
Abstract
Major histocompatibility complex (MHC) class I chain-related (MIC) genes have been previously identified and characterised in human. They encode polymorphic class I-like molecules that are stress-inducible, and constitute one of the ligands of the activating natural killer cell receptor NKG2D. We have identified three MIC genes within the cattle genome, located close to three non-classical MHC class I genes. The genomic position relative to other genes is very similar to the arrangement reported in the pig MHC region. Analysis of MIC cDNA sequences derived from a range of cattle cell lines suggest there may be four MIC genes in total. We have investigated the presence of the genes in distinct and well-defined MHC haplotypes, and show that one gene is consistently present, while configuration of the other three genes appears variable.
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Fdez-Morera JL, Tunon A, Rodriguez-Rodero S, Rodrigo L, Martinez-Borra J, Gonzalez S, Lopez-Vazquez A, Lahoz CH, Lopez-Larrea C. Clinical behavior of multiple sclerosis is modulated by the MHC class I-chain-related gene A. ACTA ACUST UNITED AC 2006; 67:409-14. [PMID: 16671949 DOI: 10.1111/j.1399-0039.2006.00593.x] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
It is well known that certain HLA class II alleles confer an increased risk for developing multiple sclerosis (MS). Recent studies have suggested HLA class I as a region that may also contribute to the development of MS. In this study, we investigated the association between HLA-DR, HLA-B alleles, and major histocompatibility complex (MHC) class I-chain-related gene A (MICA) transmembrane (MICA-TM) polymorphisms and disease progression in 104 MS patients and 116 healthy controls. DR1 was found to be decreased in patients when compared with controls (p(c) = 0.012). Neither HLA-B nor HLA-DR alleles were found to be associated with MS susceptibility. Furthermore, the prevalence of MICA-A5 in patients with relapsing MS was 9% while the prevalence in progressive forms was 42% (p(c) = 0.0015). The extended haplotypes related to MICA-TM5 that were found in our population were DR7-MICA5-B64 (EH 64.1, delta(s) = 0.38), DR4-MICA5-B62 (EH 62.1, delta(s) = 0.28), and DR11-MICA5-B35 (EH35.1, delta(s) = 0.10), but none of them were found to be associated to MS susceptibility or disease progression. Our data could indicate a possible role of MICA-TM in MS prognosis.
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Affiliation(s)
- J L Fdez-Morera
- Histocompatibility and Transplant Unit, Hospital Universitario Central de Asturias, Oviedo, Asturias, Spain
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15
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Dorak MT, Shao W, Machulla HKG, Lobashevsky ES, Tang J, Park MH, Kaslow RA. Conserved extended haplotypes of the major histocompatibility complex: further characterization. Genes Immun 2006; 7:450-67. [PMID: 16791278 DOI: 10.1038/sj.gene.6364315] [Citation(s) in RCA: 59] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Since the complete sequencing of a human major histocompatibility complex (MHC) haplotype, interest in non-human leucocyte antigen (HLA) genes encoded in the MHC has been growing. Non-HLA genes, which outnumber the HLA genes, may contribute to or account for HLA and disease associations. Most information on non-HLA genes has been obtained in separate studies of individual loci. To comprehensively address polymorphisms of relevant non-HLA genes in 'conserved extended haplotypes' (CEH), we investigated 101 International Histocompatibility Workshop reference cell lines and nine additional anonymous samples representing all 37 unambiguously characterized CEHs at MICA, NFKBIL1, LTA, NCR3, AIF1, HSPA1A, HSPA1B, BF, NOTCH4 and a single nucleotide polymorphism (SNP) at HLA-DQA1 as well as MICA, NOTCH4, HSPA1B and all five tumour necrosis factor short tandem repeat (STR) polymorphisms. This work (1) provides an extensive catalogue of MHC polymorphisms in all CEHs, (2) unravels interrelationships between HLA and non-HLA haplotypical lineages, (3) resolves reported typing ambiguities and (4) describes haplospecific markers for a number of CEHs. Analysis also identified a DQA1 SNP and segments containing MHC class III polymorphisms that corresponded with class II (DRB3 and DRB4) lineages. These results portray the MHC where lineages containing non-HLA and HLA variants in linkage disequilibrium may operate in concert and can guide more thorough design and interpretation of HLA-disease relationships.
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Affiliation(s)
- M T Dorak
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA.
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16
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Van Autreve JE, Koeleman BPC, Quartier E, Aminkeng F, Weets I, Gorus FK, Van der Auwera BJR. MICA is associated with type 1 diabetes in the Belgian population, independent of HLA-DQ. Hum Immunol 2006; 67:94-101. [PMID: 16698430 DOI: 10.1016/j.humimm.2006.02.032] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2005] [Indexed: 02/07/2023]
Abstract
To ascertain association of MICA with type 1 diabetes (T1D) in the Belgian population, well-characterized antibody-positive patients were analyzed for MICA transmembrane gene polymorphism in both an association study and a nuclear family study. The frequency of MICA5 was significantly increased in the T1D patient group (18%) compared with the control population (12%, OR=1.6, pc<10(-3)), whereas MICA9 was decreased (11% versus 16%, OR=0.7, pc<0.01). A p value<10(-3) for the association of MICA conditional on HLA class II and p=0.01 for the conditional extended transmission disequilibrium test were obtained, indicating that MICA is associated with type 1 diabetes, independent of HLA-DQ. Analysis of estimated extended HLA-DQ-MICA haplotypes revealed individual effects of MICA alleles. The most significant effect was seen for MICA5 on the HLA-DQA1*03-DQB1*0302-MICA haplotype (OR=2.5, p<10(-3)). A significant protective effect was seen for the combination of DQA1*01-DQB1*0602/3 and MICA5.1 (OR=0.3, p<10(-3)). However, patients stratified according to the presence or absence of the different MICA alleles did not differ in terms of age at onset, sex, or other diabetes-related clinical and epidemiological data. In conclusion, MICA is associated with type 1 diabetes in the Belgian population and the observed association does not result from the HLA-DQ associated risk.
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Affiliation(s)
- Jan E Van Autreve
- Diabetes Research Center, Molecular Diagnosis Unit, Vrije Universteit Brussel, Laarbeeklaan 103, B-1090 Brussels, Belgium
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Bahram S, Inoko H, Shiina T, Radosavljevic M. MIC and other NKG2D ligands: from none to too many. Curr Opin Immunol 2005; 17:505-9. [PMID: 16087327 DOI: 10.1016/j.coi.2005.07.016] [Citation(s) in RCA: 76] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2005] [Accepted: 07/21/2005] [Indexed: 01/05/2023]
Abstract
NKG2D, a prime activatory receptor on human NK, CD8(+) alphabeta and gammadelta cells, has a variety of ligands, which, despite sharing membership of the MHC class I structural club, display an array of unique features. Chronologically, human MIC molecules were the first NKG2D ligands to be identified. Then came RAET1 (ULBP) molecules, which were identified in both man and mouse, as well as H60 and MULT1, which have no counterparts in man to date. The question remains as to why, more than how, the evolutionary conserved, apparently monomorphic, single copy, NKG2D, can/should adapt to this variety of ligands, and when it does, what is the evolutionary advantage of this profusion of ligands for a single receptor?
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Affiliation(s)
- Seiamak Bahram
- Centre de Recherche d'Immunologie et d'Hématologie, Hôpitaux Universitaires de Strasbourg, France
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18
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Collins RWM. Human MHC class I chain related (MIC) genes: their biological function and relevance to disease and transplantation. ACTA ACUST UNITED AC 2004; 31:105-14. [PMID: 15182323 DOI: 10.1111/j.1365-2370.2004.00457.x] [Citation(s) in RCA: 81] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
Major histocompatibility complex (MHC) class I chain related (MIC) molecules show homology with classical human leukocyte antigen (HLA) molecules, but they do not combine with beta2 microglobulin, do not bind peptide and are not expressed on normal circulating lymphocytes. In response to stress, MIC proteins are expressed on the cell surface of freshly isolated gastric epithelium, endothelial cells and fibroblasts and engage the activating natural killer cell receptor NKG2D, which is found on many cells within the immune system. Despite the highly polymorphic nature of MIC genes, only one polymorphic position has been identified that appears to affect the binding of NKG2D. Alleles with a methionine at codon 129 have a 10-50-fold greater capacity to complex NKG2D than alleles with a valine at this position. Renal and pancreatic grafts with evidence of both acute and chronic rejection have been shown to express MIC proteins, and anti-MIC antibodies have been identified in the serum of these patients. Some MIC molecules which are expressed by tumours appear to shed and solubilize in plasma. This soluble form of MIC engages cells expressing NKG2D, rendering them inactive, and impairs tumour cytolysis. Similarly, a protein encoded by human cytomegalovirus (CMV) prevents MICB surface expression and subsequent NKG2D interaction. Whereas the benefit of solid organ transplantation may be hindered by the expression of MIC molecules on grafts, tumours and viruses may take advantage of the expression of MIC molecules on transformed and virus-infected cells in order to evade this recognition pathway.
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Affiliation(s)
- R W M Collins
- Division of Immunology, Infection and Inflammatory Disease, King's College London, UK.
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Shao W, Lobashevsky ES, Kaslow RA, Dorak MT. MICA intron 1 sequences of conserved extended HLA haplotypes: implications for sequencing-based typing. Genes Immun 2004; 5:371-4. [PMID: 15164101 DOI: 10.1038/sj.gene.6364103] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
The human major histocompatibility complex (MHC) class I chain-related gene A (MICA) has a high degree of genetic diversity. Several methods have been used in MICA typing. Recent studies reported different results for the same reference cell lines typed by different methods. By searching the GenBank, we found an indel polymorphism in MICA intron 1 corresponding to the area where one of the sequencing-based typing primers used by others is located. We investigated this polymorphism in 43 reference samples by primer cycle sequencing. This approach revealed three haplotype-specific patterns of polymorphisms in intron 1. This study provided evidence that one of the primers commonly used in MICA typing may fail to amplify both alleles in certain heterozygous combinations. Our data showed a correlation between the three patterns in MICA intron 1 and exon 5 short tandem repeat (STR) alleles. Being neutral ones, the intron 1 and STR polymorphisms appeared to mark the ancestral lineages better than the coding region polymorphisms.
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Affiliation(s)
- W Shao
- Department of Epidemiology, University of Alabama at Birmingham, USA
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20
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Marsh SGE, Albert ED, Bodmer WF, Bontrop RE, Dupont B, Erlich HA, Geraghty DE, Hansen JA, Mach B, Mayr WR, Parham P, Petersdorf EW, Sasazuki T, Schreuder GMT, Strominger JL, Svejgaard A, Terasaki PI. Nomenclature for factors of the HLA system, 2002. EUROPEAN JOURNAL OF IMMUNOGENETICS : OFFICIAL JOURNAL OF THE BRITISH SOCIETY FOR HISTOCOMPATIBILITY AND IMMUNOGENETICS 2002; 29:463-515. [PMID: 12437610 DOI: 10.1046/j.1365-2370.2002.00359.x] [Citation(s) in RCA: 43] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Affiliation(s)
- Steven G E Marsh
- Anthony Nolan Research Institute, Royal Free Hospital, Hampstead, London, UK.
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21
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Marsh SGE, Albert ED, Bodmer WF, Bontrop RE, Dupont B, Erlich HA, Geraghty DE, Hansen JA, Mach B, Mayr WR, Parham P, Petersdorf EW, Sasazuki T, Schreuder GMT, Strominger JL, Svejgaard A, Terasaki PI. Nomenclature for factors of the HLA system, 2002. Hum Immunol 2002; 63:1213-68. [PMID: 12480266 DOI: 10.1016/s0198-8859(02)00769-3] [Citation(s) in RCA: 60] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Affiliation(s)
- Steven G E Marsh
- Anthony Nolan Research Institute, Royal Free Hospital, Hampstead, London, United Kingdom.
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22
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Marsh SGE, Albert ED, Bodmer WF, Bontrop RE, Dupont B, Erlich HA, Geraghty DE, Hansen JA, Mach B, Mayr WR, Parham P, Petersdorf EW, Sasazuki T, Schreuder GMT, Strominger JL, Svejgaard A, Terasaki PI. Nomenclature for factors of the HLA system, 2002. TISSUE ANTIGENS 2002; 60:407-64. [PMID: 12492818 DOI: 10.1034/j.1399-0039.2002.600509.x] [Citation(s) in RCA: 171] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Affiliation(s)
- S G E Marsh
- Anthony Nolan Research Institute, Royal Free Hospital, Hampstead, London, United Kingdom.
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23
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Collins RWM, Stephens HAF, Clare MA, Vaughan RW. High resolution molecular phototyping of MICA and MICB alleles using sequence specific primers. Hum Immunol 2002; 63:783-94. [PMID: 12175734 DOI: 10.1016/s0198-8859(02)00425-1] [Citation(s) in RCA: 35] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
Major histocompatibility complex (MHC) class I chain-related genes, MICA and MICB, are located centromeric to human leukocyte antigen B (HLA-B) on chromosome 6. In response to stress stimuli, MIC is expressed on epithelial, endothelial and fibroblast cells, but not lymphocytes and has been demonstrated to ligate the natural killer (NK) cell receptor, NKG2D. Nucleotide sequences of MICA and MICB are highly polymorphic and several methods have been established to identify these polymorphisms, including sequence-based typing and sequence-specific oligonucleotide probing. In this study we have developed a high-resolution polymerase chain reaction-sequence-specific primer (PCR-SSP) phototyping scheme that detects all WHO-recognized MICA alleles and all 12 MICB alleles. Our method will also recognize a MICA deletion haplotype and distinguish between MICA alleles with different binding affinities for NKG2D, encoded by a non-synonymous nucleotide substitution in codon 129. Furthermore, our scheme targets almost 90% of the dimorphic codon positions in exons 2, 3, and 4, which result in non-synonymous amino acid changes. This method can be used to determine MIC allele frequencies within different populations, as well as investigate MIC associations in cohorts of patients with autoimmune and infectious diseases and explore the impact of MIC on the survival of solid organ and stem cell transplants.
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