Study of MICA alleles in 201 African Americans by multiplexed single nucleotide extension (MSNE) typing

Genomic characterization of MICA gene using multiple next generation sequencing platforms: A validation study

We have developed a protocol regarding the genomic characterization of the MICA gene by next generation sequencing (NGS). The amplicon includes the full length of the gene and is about 13 kb. A total of 156 samples were included in the study. Ninety‐seven of these samples were previously characterized at MICA by legacy methods (Sanger or sequence specific oligonucleotide) and were used to evaluate the accuracy, precision, specificity, and sensitivity of the assay. An additional 59 DNA samples of unknown ethnicity volunteers from the United States were only genotyped by NGS. Samples were chosen to contain a diverse set of alleles. Our NGS approach included a first round of sequencing on the Illumina MiSeq platform and a second round of sequencing on the MinION platform by Oxford Nanopore Technology (ONT), on selected samples for the purpose of either characterizing new alleles or setting phase among multiple polymorphisms to resolve ambiguities or generate complete sequence for alleles that were only partially reported in the IMGT/HLA database. Complete consensus sequences were generated for every allele sequenced with ONT, extending from the 5′ untranslated region (UTR) to the 3′ UTR of the MICA gene. Thirty‐two MICA sequences were submitted to the IMGT/HLA database including either new alleles or filling up the gaps (exonic, intronic and/or UTRs) of already reported alleles. Some of the challenges associated with the characterization of these samples are discussed.

Mapping binding epitopes of monoclonal antibodies targeting major histocompatibility complex class I chain-related A (MICA) with hydrogen/deuterium exchange and electron-transfer dissociation mass spectrometry

Major histocompatibility complex class I chain-related A and B (MICA/B) are cell-surface proteins that act as ligands to natural killer cell receptors, NKG2D, expressed on immune cells. Prevention of proteolytic shedding of MICA/B to retain their integrity on the cell surface has become a therapeutic strategy in immuno-oncology. Given the unique mechanism of MICA/B shedding, structural characterization of MICA/B and therapeutic agent interaction is important in the drug discovery process. In this study, we describe the practical utility of hydrogen/deuterium exchange mass spectrometry (HDX-MS) in epitope mapping studies of a cohort of four monoclonal antibodies targeting MICA in a rapid manner. HDX-MS followed by electron-transfer dissociation allows high-resolution refinement of binding epitopes. This integrated strategy offers, for the first time, molecular-level understanding of MICA's conformational dynamics in solution as well as the unique mechanism of actions of these antibodies in targeting MICA. Graphical abstract.

High-resolution glycosylation site-engineering method identifies MICA epitope critical for shedding inhibition activity of anti-MICA antibodies

As an immune evasion strategy, MICA and MICB, the major histocompatibility complex class I homologs, are proteolytically cleaved from the surface of cancer cells leading to impairment of CD8 + T cell- and natural killer cell-mediated immune responses. Antibodies that inhibit MICA/B shedding from tumors have therapeutic potential, but the optimal epitopes are unknown. Therefore, we developed a high-resolution, high-throughput glycosylation-engineered epitope mapping (GEM) method, which utilizes site-specific insertion of N-linked glycans onto the antigen surface to mask local regions. We apply GEM to the discovery of epitopes important for shedding inhibition of MICA/B and validate the epitopes at the residue level by alanine scanning and X-ray crystallography (Protein Data Bank accession numbers 6DDM (1D5 Fab-MICA*008), 6DDR (13A9 Fab-MICA*008), 6DDV (6E1 Fab-MICA*008). Furthermore, we show that potent inhibition of MICA shedding can be achieved by antibodies that bind GEM epitopes adjacent to previously reported cleavage sites, and that these anti-MICA/B antibodies can prevent tumor growth in vivo.

MICA and NKG2D: Is There an Impact on Kidney Transplant Outcome?

This paper aims to present an overview of MICA and natural killer group 2 member D (NKG2D) genetic and functional interactions and their impact on kidney transplant outcome. Organ transplantation has gone from what can accurately be called a “clinical experiment” to a routine and reliable practice, which has proven to be clinically relevant, life-saving and cost-effective when compared with non-transplantation management strategies of both chronic and acute end-stage organ failures. The kidney is the most frequently transplanted organ in the world (transplant-observatory¹). The two treatment options for end-stage renal disease (ESRD) are dialysis and/or transplantation. Compared with dialysis, transplantation is associated with significant improvements in quality of life and overall longevity. A strong relationship exists between allograft loss and human leukocyte antigens (HLA) antibodies (Abs). HLA Abs are not the only factor involved in graft loss, as multiple studies have shown that non-HLA antigens are also involved, even when a patient has a good HLA matche and receives standard immunosuppressive therapy. A deeper understanding of other biomarkers is therefore important, as it is likely to lead to better monitoring (and consequent success) of organ transplants. The objective is to fill the void left by extensive reviews that do not often dive this deep into the importance of MICA and NKG2D in allograft acceptance and their partnership in the immune response. There are few papers that explore the relationship between these two protagonists when it comes to kidney transplantation. This is especially true for the role of NKG2D in kidney transplantation. These reasons give a special importance to this review, which aims to be a helpful tool in the hands of researchers in this field.

Genetics, genomics, and evolutionary biology of NKG2D ligands

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.

MIC gene polymorphism and haplotype diversity in Zhuang nationality of Southern China

Zhuang ethnic minority is the largest minority group in China. Here, we report for the first time the polymorphisms of MICA and MICB in a healthy Zhuang population of 209 unrelated individuals. Using polymerase chain reaction-sequence specific priming (PCR-SSP) and sequencing-based typing (PCR-SBT), 13 MICA-sequence alleles and 5 MICA-STR alleles, as well as 11 MICB alleles were detected, among which MICA(∗)010, MICA(∗)A5 and MICB(∗)005:02 were the most frequent alleles. Linkage disequilibria was investigated and the most common two-locus haplotypes were MICB(∗)005:02-MICA(∗)010 and MICB(∗)014-MICA(∗)045. These results suggest informative genetic markers for investigating origins and evolution of MHC class I region haplotypes in Zhuang population.

The effect of MICA antigens on kidney transplantation outcomes

Good HLA matches do not guarantee rejection-free kidney transplantation, indicating that other antigens might be targets for rejection. The major histocompatibility complex class I-related antigens A (MICA) are polymorphic. Mismatched MICA epitopes may lead to antibodies against MICA antigens and induce immune response. Establishment of detection technique for MICA, including solid-phase, immunofluorescence, flow-crossmatch, make it possible to detect the types of MICA antibodies. Therefore, the pathological role of MICA antibodies has received an increased attention in kidney transplantation. This review describes and summarizes the data from recent studies related to the impact of MICA antibodies on kidney allografts rejection and survival. And also provides evidence that the presence of MICA antibodies before or after transplantation, as a risk factor, is likely to be responsible for transplant outcomes.

Interplay between human cytomegalovirus and intrinsic/innate host responses: a complex bidirectional relationship

The interaction between human cytomegalovirus (HCMV) and its host is a complex process that begins with viral attachment and entry into host cells, culminating in the development of a specific adaptive response that clears the acute infection but fails to eradicate HCMV. We review the viral and cellular partners that mediate early host responses to HCMV with regard to the interaction between structural components of virions (viral glycoproteins) and cellular receptors (attachment/entry receptors, toll-like receptors, and other nucleic acid sensors) or intrinsic factors (PML, hDaxx, Sp100, viperin, interferon inducible protein 16), the reactions of innate immune cells (antigen presenting cells and natural killer cells), the numerous mechanisms of viral immunoevasion, and the potential exploitation of events that are associated with early phases of virus-host interplay as a therapeutic strategy.

The effect of MICA antigens on transplant outcomes: a systematic review

BACKGROUND AND OBJECTIVE

Human major histocompatibility complex class I-related gene A (MICA) is reportedly associated with poor transplant outcomes and a high risk of acute and chronic rejection in solid organ transplantation. However, studies on these risks have found conflicting results. In order to identify areas in which additional research is needed, we have undertaken the first systematic review of evidence concerning the risk of anti-MICA antibodies in recipients' sera.

METHODS

We searched MEDLINE, EMBASE, and the Cochrane Library for original reports of clinical studies involving detection of MICA abs in transplant recipients' sera which used survival rate, acute rejection, and/or chronic rejection as outcome measures. RevMan 5.0.15 was used to calculate relative risk (RR), odds ratios (ORs), and 95% confidence intervals (95%CIs).

RESULTS

We found 18 relevant articles, with a total of 6,607 recipients. Follow-up duration ranged from 1 to 15 years. In studies with more than 2 years of follow-up, anti-MICA abs positive in kidney recipients' post-transplant sera was associated with a lower graft survival rate (4 years: RR = 2.04, 95%CI 1.30 to 3.22; 3 years: OR = 3.56, 95%CI 1.47 to 8.62; 2 years: RR = 2.17, 95%CI 1.09 to 4.31) and a higher acute rejection rate (RR = 1.92, 95%CI 1.27 to 2.91), but there was no clear association with chronic rejection. Similar conclusions could not be drawn for heart or liver transplantation due to possible confounding by anti-HLA abs and the small sample sizes of the available studies.

CONCLUSION

Anti-MICA antibodies in recipients' sera may associated with poor graft survival rates and high risk of acute and chronic rejection in solid organ transplantation, but more rigorous studies are needed to confirm or refute this relationship. Current immunosuppressive therapy may fail to suppress the harmful effect of MICA antigens.

Allelic diversity of MICA gene and MICA/HLA-B haplotypic variation in a population of the Murcia region in southeastern Spain

Major histocompatibility complex class I-related chain A (MICA) is located at 46 kb centromeric of HLA-B. It is highly polymorphic and interacts with NKG2D, its receptor on the surface of NK, Tgammadelta and T CD8 lymphocytes. Data on MICA polymorphism in different populations are still limited. Our aim was to establish allelic diversity of MICA gene and linkage disequilibrium with HLA-B in our population. DNA was obtained from 154 unrelated healthy individuals from the Murcia region in southeastern Spain. HLA-B genotyping was performed using polymerase chain reaction (PCR)-sequence-specific oligonucleotide probes and allele-specific PCR-sequence-specific primers, and MICA genotyping by using PCR-sequence-specific oligonucleotide probes. A total of 19 MICA alleles were detected on this study. MICA*008 was the most frequent allele (25.3%), followed by MICA*002 (16.1%), MICA*004 (14.9%), MICA*001 (7.8%), MICA*009 and MICA*016 (7.1%), and MICA*010 (4.6%). Eleven alleles had frequencies of <1%. In the haplotype analysis, MICA*008-B*0702 was found to be the most common, followed by MICA*004-B*4403 and MICA*001-B*1801, MICA*002-B*3501, MICA*008-B*4402, MICA*004-B*4901, MICA*008-B*0801, and MICA*002-B*3801. The frequency of MICA*010-B*1501, MICA*008-B*1302, MICA*015-B*4501, and MICA*008-B*4001 was remarkable inasmuch as these two last haplotypes have not been reported in Spanish population. Indeed, MICA*016 linked to B*1402 has also not been reported in the literature. In conclusion, the allelic diversity in our population is similar to other Caucasian populations; however we found a series of less frequent alleles, in addition to as-yet-undescribed haplotypic associations in other populations of Caucasian origin.

Allelic Diversity and Affinity Variants of MICA are Imbalanced in Spanish Patients with Behcet's Disease

The aetiology of Behçet's disease (BD) is still unknown, but genetic and environmental factors are involved. HLA-B*51 is considered a susceptibility marker and some MICA alleles have also been associated. Cytotoxic T lymphocytes have been suggested as responsible for BD lesions by engaging MICA through NKG2D surface molecules. In the present study, HLA-B and MICA alleles were typed by polymerase chain reaction using sequence-specific primers, in 165 healthy Spanish controls and 42 BD patients. In the healthy group, MICA*008 (28.48%), MICA*004 (17.58%), MICA*002 (14.24%) and MICA*009 (9.39%) were the predominant alleles and the most common haplotype was MICA*004-B*44 (12.12%). MICA*001 (5.15%), MICA*004, MICA*011 (4.54%) and MICA*018 (5.15%) were more frequent, and MICA*010 (1.81%) and MICA*008 were less prevalent than in other Caucasoid populations. Similar results have been reported in North African individuals and this could support the hypothesis of a common ancestral origin of both populations. The frequencies of MICA*009 and MICA*019 were significantly increased in our BD patients in comparison with controls: 22.62% versus 9.39% and 10.71% versus 1.81% respectively. The increase of MICA*019 had not been described in other BD cohorts, and it corroborates the genetic heterogeneity at MICA locus in BD patients. High-affinity MICA alleles for NKG2D were more frequent in controls than in patients. Moreover, high-affinity alleles were not found in homozygous BD patients. These results argue against the hypothesis of an autoaggressive response in BD patients through MICA-NKG2D interactions.

Down-regulation of the NKG2D ligand MICA by the human cytomegalovirus glycoprotein UL142

Human cytomegalovirus (HCMV) employs a variety of strategies to modify or evade the host immune response, and natural killer (NK) cells play a crucial role in controlling cytomegalovirus infections in mice and humans. Activation of NK cells through the receptor NKG2D/DAP10 leads to killing of NKG2D ligand-expressing cells. We have previously shown that HCMV is able to down-regulate the surface expression of some NKG2D ligands, ULBP1, ULBP2, and MICB via the viral glycoprotein UL16. Here, we show that the viral gene product UL142 is able to down-regulate another NKG2D ligand, MICA, leading to protection from NK cytotoxicity. UL142 is not able to affect surface expression of all MICA alleles, however, which may reflect selective pressure on the host to thwart viral immune evasion, further supporting an important role for the MICA-NKG2D interaction in immune surveillance.

A typing system for the major histocompatibility complex class I chain related genes A and B using polymerase chain reaction with sequence-specific primers

The Major Histocompatibility Complex (MHC) class I chain related (MIC) A and B genes are important additional loci within the MHC. We have developed a MICA and MICB typing system using the polymerase chain reaction with sequence-specific primers (PCR-SSP), which operates under the same conditions as our routine HLA-A, -B, and -C typing method. We designed 95 primers in 84 SSP mixtures for MICA and 39 primers in 29 mixtures for MICB. This detected and differentiated all 55 MICA and 19 MICB alleles (except MICA*00701 from MICA*026, MICA*00201 from MICA*020, and three MICB alleles, which are intronic variations). A computer program confirmed the MICA amplification reactivity of each SSP mixture and evaluated the typing set for MICA allele combination ambiguities. Seventy-six "reference" DNA samples were used for validation: 50 from International Histocompatibility Workshop B lymphoblastoid cell lines (IHW BCLs) and 26 MICA-typed samples from two laboratories. The reference material identified 28 out of the 55 MICA alleles and 13 of the 19 MICB alleles, and directly validated 62 of the 84 MICA and 20 of the 29 MICB SSP mixtures. Our genotyping agreed with 283 out of the 286 (98.95%) MICA and MICB reference laboratories' allele assignments or the consensus assignments. Two of the discrepancies remain unresolved, whereas one was probably due to a reference laboratory's failure to differentiate alleles differing in exon 5 of the MICA gene. A comparison of the MICA and MICB allele assignments between laboratories identified a "disagreement rate" of 19.4% for MICA alleles and 13.1% for MICB alleles. Accordingly, we have compiled "consensus" MICA and MICB genotypes for the 50 IHW BCLs tested, which have been confirmed by our typing. We also typed 166 random blood donors. Their MICA and MICB carriage and allele frequencies and HLA-B, MICA, MICB linkage disequilibrium parameters and haplotype frequencies largely concurred with other published data on United Kingdom subjects, further supporting the validity of our typing system. This PCR-SSP system is a simple, reliable and rapid technique for typing MICA and MICB alleles. It is easily updated as new alleles are identified but clearly requires a continuing validation review until all known MICA and MICB alleles have been identified.

Real-Time PCR Using Fluorescent Resonance Emission Transfer Probes for HLA-B Typing

HLA genotyping by polymerase chain reaction (PCR) has some inherent labor-intensive and effort-demanding limitations. To overcome them, we have developed a real-time PCR with hybridization probes approach able to obtain a medium-low resolution HLA-B genotyping with fewer tubes and probes and with a shorter time requirement. Our strategy used 18 simultaneous reactions amplifying HLA-B alleles and an internal control. Monitorization of both amplifications in each tube is performed by the simultaneous application of two fluorescent resonance emission transfer probes: the first probe, different for each tube, is specific for the HLA-B locus and the second probe detects the control gene. A medium-low resolution (300 HLA-B allelic groups) typing is obtained for each sample by analyzing the melting curve patterns. Because some alleles may be determined without using the complete set of reactions, we present an alternative strategy: a first round of seven reactions and, according to the result, a second (or third) round of PCRs to solve the ambiguities. This method was validated in pretyped clinical samples and the results were completely concordant. Moreover, fewer ambiguous results were obtained. In summary, we present a new, faster, and more accurate method than currently used PCR techniques to type HLA-B alleles.

Diversity of MICA and linkage disequilibrium with HLA-B in two North American populations

The MICA gene has a high degree of polymorphism. Allelic variation of MICA may influence binding of these ligands to the NK cell receptor NKG2D and may affect organ transplantation and/or disease pathogenesis. Knowledge of the population distribution of MICA alleles and their linkage disequilibrium (LD) with class I human leukocyte antigen (HLA) will enhance our understanding of the potential functional significance of the MICA polymorphism. In the present study, we characterized the MICA and HLA-B polymorphisms in two North American populations: European and African. The individual racial groups showed rather limited variation at the MICA locus, where the same set of three most common alleles, MICA*00201, *004, and *00801, account for 64 and 71% of the allele frequency in European-Americans and African-Americans, respectively. Other common alleles (allele frequency >5% in a population) include MICA*00901 and *010. MICA alleles showed strong linkage disequilibrium with HLA-B. Typically, a common MICA allele has strong LD with several HLA-B alleles, whereas most HLA-B alleles and their related serological groups are associated with a single MICA allele. The lack of evidence for an active diversification of the MICA gene after racial separation indicates an evolutionary history distinct from that of the classical HLA genes.

MICA Allele-Level Typing by Sequence-based Typing with Computerized Assignment of Polymorphic Sites and Short Tandem Repeats within the Transmembrane Region

MICA genes are located close to, but are structurally distinct from, HLA class I genes and have been found to be associated with some diseases and with immune responses to transplants. We have developed a MICA typing method based on polymerase chain reaction (PCR)/sequence-based typing and a computer program that determines the polymorphisms and distinguishes the GCT repeats in exon 5. One PCR amplification was performed to obtain templates of 2.2 kb including exons 2, 3, 4, and 5 of MICA to be sequenced with two forward and two reverse primers. Overlay of nucleotide sequencing signals resulting from presence of different GCT repeats in exon 5 antisense from two different MICA alleles can be identified by a computer-based analysis of the combined signal string containing the 35 bases. Eighteen reference samples from the 10th International Histocompatibility Workshop with known MICA alleles, as more recently determined, were tested and the concordance was 100% with the previous typing. In addition, 46 samples from kidney or heart transplant recipients and donors were analyzed for their MICA typing by this approach. Results demonstrated that the majority of samples were MICA heterozygous. The most common allele was MICA*00801/A5.1 (44.7%), which was consistent with previous reports. Three samples manifested ambiguous results, either because of polymorphism in exon 6 which was not tested or because the combination of two alleles gives the same pattern as the other two. The procedure was relatively simple and fast and is presently our method of choice for high-resolution clinical MICA typing.

MICA Polymorphism in a Population From North Morocco, Metalsa Berbers, Using Sequence-Based Typing

The MICA gene encodes a family of nonclassical major histocompatibility complex class I molecules. Data on MICA polymorphism in different populations are still limited. In the present study, MICA allele frequencies (af) were assessed in 82 unrelated healthy individuals from a Moroccan Berber population named Metalsa (ME) by means of sequence-based typing of exons 2, 3, 4, and 5. In consideration of the linkage disequilibrium existing between MICA and human leukocyte antigen (HLA) class I alleles, MICA/HLA-B, MICA/HLA-Cw, and MICA/HLA-A haplotype frequencies (hf) were estimated. A wide allelic distribution including 16 different MICA alleles was found in ME. The most common MICA alleles were MICA*00801 (af = 0.268), *004 (0.232), *00902 (0.140), *00901 (0.085), and *00901 (0.073). The most common MICA/HLA-B haplotypes were MICA*004-B*4403 and MICA*009-B*50 (hf = 0.113 for both these haplotypes). Some known MICA and HLA-B associations were confirmed in this population. Noteworthy was the high frequency of MICA*009 (af = 0.226); the high frequency of B*50 found in ME (af = 0.114) permitted us to evidence the associations of MICA*00902 with B*5001 (hf = 0.068) or *5002 (hf = 0.045), whereas MICA*00901 was mainly associated with B*5101 (hf = 0.038), which corresponds to the previously described association MICA*009/A6-HLA-B*51. This study extends the previous knowledge on MICA polymorphism to a North African white population and may have implications for disease associations and transplantation.

Effect of human cytomegalovirus on expression of MHC class I-related chains A

The MHC-encoded MHC class I-related chains A (MICA) glycoproteins are known to enhance the functions of NK and T cells by ligating the stimulating receptor NKG2D and appear to play an important role in host defense. Human CMV (HCMV) evades the immune response in many different ways, but has not previously been found to down-regulate MICA. We have found that a common form of MICA, which has a nucleotide insertion in exon 5 corresponding to the transmembrane region and no cytoplasmic tail, was increased on the surface of fibroblasts HFS-13 compared with the mock-infected sample of the same cells that had been cultured to confluence. However, an astrocytoma cell line, U373, which has a full-length variant of MICA, showed that the expression of MICA was decreased after HCMV infection. Retroviral transduction of different MICA alleles into fibroblasts HFF-D, which express no MICA of their own, established that full-length MICA was down-regulated by HCMV, and the truncated form was not. Fibroblasts with decreased MICA due to HCMV infection were found to be protected from NK cell killing, whereas in the presence of the truncated form of MICA, the virus-infected cells were destroyed. Thus, the truncated form of MICA, which is the most common, has a mutation that allows it to persist on the surface and hinder efforts of the virus to evade the immune response.

MICA polymorphism in a sample of the São Paulo population, Brazil

The major histocompatibility complex (MHC) class I chain-related A (MICA) gene, located near HLA-B, codes for protein products with structural similarities to those of classical MHC class I genes, but which neither bind beta(2)-microglobulin nor present peptide. Expressed predominantly on gastrointestinal and tumour epithelial cells, they are stress-induced and interact with C-type lectin like receptor (NKG2D) on gammadelta, alphabeta CD8+ T cells and natural killer (NK) cells. MICA is highly polymorphic, with 54 extracellular allelic sequences described. We typed 200 healthy subjects in a sample of the São Paulo population by extended polymerase chain reaction-sequence-specific primers (PCR-SSP) to characterize the MICA polymorphism and analysed MICA/HLA-B linkage disequilibrium. The MICA*008 group (g) was predominant (47%), with several HLA-B associations. Rare combinations MICA*008g-HLA-B37, MICA*008g-B72 and MICA*010-HLA-B52 were detected. Given the extent of this polymorphism and its possible relevance for disease association, we determined MICA and HLA-B alleles in 33 Behçet's patients, in an attempt to clarify the associated genetic marker. Our results showed an increase of MICA*006, but not MICA*009, in the patient group (6/33) compared with controls (3/200) (18.2% vs. 1.5%; P(c) = 0.005). Both alleles were always in association with HLA-B51, suggesting that HLA-B is indeed the primary susceptibility locus (P = 0.00008) and that MICA*006 may be an additional risk factor.

Multiplex single nucleotide extension: a robust and high throughput method for HLA-A locus typing

This report describes a typing method that can identify all known human leukocyte antigen A (HLA-A) alleles by determining nucleotides present at polymorphic sites using single nucleotide extension. Allele specific primers are bound to capture oligonucleotides which allows for a multiplex approach during single nucleotide extension (SNE) reactions. Eleven group-specific polymerase chain reaction amplifications were performed to obtain the templates to be analyzed with sets of primers designed to investigate the polymorphisms. Extension of biotin-labeled ddNTPs onto allele-specific primers was catalyzed by a DNA polymerase and each primer was hybridized to a specific capture oligonucleotide covalently bound to a bead. After staining with streptavidin-PE, incorporated fluorescence was determined with a flow cytometer. Fluorescence intensities were interpreted by computer and the nucleotide sequence was translated into HLA-A genotypes. Group-specific amplification reactions and primer sets for SNE were validated with 42 reference samples of known HLA-A alleles. In addition, 296 samples from three populations (N. A. Caucasian, African-American, Terena S. A. Indian) were analyzed and results compared to previous typing by SSOP. Reproducibility between repeated typings was 100% and ambiguities were quite rare. The method has been found to be accurate, relatively simple to perform and fast. It is our method of choice for high resolution clinical HLA-A typing.

Human MHC class I chain related (MIC) genes: their biological function and relevance to disease and transplantation

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.

MICA intron 1 sequences of conserved extended HLA haplotypes: implications for sequencing-based typing

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.