Easy-HLA: a validated web application suite to reveal the full details of HLA typing.

MOTIVATION: The HLA system plays a pivotal role in both clinical applications and immunology research. Typing HLA genes in patient and donor is indeed required in hematopoietic stem cell and solid-organ transplantation, and the histocompatibility complex region exhibits countless genetic associations with immune-related pathologies. Since the discovery of HLA antigens, the HLA system nomenclature and typing methods have constantly evolved, which leads to difficulties in using data generated with older methodologies. RESULTS: Here, we present Easy-HLA, a web-based software suite designed to facilitate analysis and gain knowledge from HLA typing, regardless of nomenclature or typing method. Easy-HLA implements a computational and statistical method of HLA haplotypes inference based on published reference populations containing over 600 000 haplotypes to upgrade missing or partial HLA information: 'HLA-Upgrade' tool infers high-resolution HLA typing and 'HLA-2-Haplo' imputes haplotype pairs and provides additional functional annotations (e.g. amino acids and KIR ligands). We validated both tools using two independent cohorts (total n = 2500). For HLA-Upgrade, we reached a prediction accuracy of 92% from low- to high-resolution of European genotypes. We observed a 96% call rate and 76% accuracy with HLA-2-Haplo European haplotype pairs prediction. In conclusion, Easy-HLA tools facilitate large-scale immunogenetic analysis and promotes the multi-faceted HLA expertise beyond allelic associations by providing new functional immunogenomics parameters. AVAILABILITY AND IMPLEMENTATION: Easy-HLA is a web application freely available (free account) at: https://hla.univ-nantes.fr. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

HCMV triggers frequent and persistent UL40-specific unconventional HLA-E-restricted CD8 T-cell responses with potential autologous and allogeneic peptide recognition.

Immune response against human cytomegalovirus (HCMV) includes a set of persistent cytotoxic NK and CD8 T cells devoted to eliminate infected cells and to prevent reactivation. CD8 T cells against HCMV antigens (pp65, IE1) presented by HLA class-I molecules are well characterized and they associate with efficient virus control. HLA-E-restricted CD8 T cells targeting HCMV UL40 signal peptides (HLA-EUL40) have recently emerged as a non-conventional T-cell response also observed in some hosts. The occurrence, specificity and features of HLA-EUL40 CD8 T-cell responses remain mostly unknown. Here, we detected and quantified these responses in blood samples from healthy blood donors (n = 25) and kidney transplant recipients (n = 121) and we investigated the biological determinants involved in their occurrence. Longitudinal and phenotype ex vivo analyses were performed in comparison to HLA-A*02/pp65-specific CD8 T cells. Using a set of 11 HLA-E/UL40 peptide tetramers we demonstrated the presence of HLA-EUL40 CD8 αßT cells in up to 32% of seropositive HCMV+ hosts that may represent up to 38% of total circulating CD8 T-cells at a time point suggesting a strong expansion post-infection. Host's HLA-A*02 allele, HLA-E *01:01/*01:03 genotype and sequence of the UL40 peptide from the infecting strain are major factors affecting the incidence of HLA-EUL40 CD8 T cells. These cells are effector memory CD8 (CD45RAhighROlow, CCR7-, CD27-, CD28-) characterized by a low level of PD-1 expression. HLA-EUL40 responses appear early post-infection and display a broad, unbiased, Vß repertoire. Although induced in HCMV strain-dependent, UL4015-23-specific manner, HLA-EUL40 CD8 T cells are reactive toward a broader set of nonapeptides varying in 1-3 residues including most HLA-I signal peptides. Thus, HCMV induces strong and life-long lasting HLA-EUL40 CD8 T cells with potential allogeneic or/and autologous reactivity that take place selectively in at least a third of infections according to virus strain and host HLA concordance.

MICA Mutant A5.1 Influences BK Polyomavirus Reactivation and Associated Nephropathy After Kidney Transplantation.

BACKGROUND: BK polyomavirus (BKPyV) frequently reactivates in kidney transplant recipients during immunosuppressive therapy and triggers BKPyV-associated nephropathy and graft rejection. Determining effective risk factors for BKPyV reactivation is required to achieve efficient prevention. METHODS: This study investigated the role of major histocompatibility complex (MHC) class I-related chain A (MICA) in BKPyV reactivation in a cohort of 144 transplant donor/recipient pairs, including recipients with no reactivation (controllers) and those with mild (virurics) or severe (viremics) BKPyV reactivation after graft receipt. RESULTS: We show that, in the kidney, MICA is predominantly expressed in tubule epithelial cells, the natural targets of BKPyV, questioning a role for MICA in the immune control of BKPyV infection. Focusing on MICA genotype, we found a lower incidence of BKPyV reactivation in recipients of a renal graft from a donor carrying the MICA A5.1 mutant, which encodes a truncated nonconventional MICA. We established that a mismatch for MICA A5.1 between transplant donor and recipient is critical for BKPyV reactivation and BKPyV-associated nephropathy. Functionally, we found that a low prevalence of BKPyV reactivation was associated with elevated anti-MICA sensitization and reduced plasma level of soluble MICA in recipients, 2 potential effector mechanisms. DISCUSSIONS: These findings identify the MHC-related MICA as an immunogenetic factor that may functionally influence anti-BKPyV immune responses and infection outcomes.

Both the nature of KIR3DL1 alleles and the KIR3DL1/S1 allele combination affect the KIR3DL1 NK-cell repertoire in the French population.

NK-cell functions are regulated by many activating and inhibitory receptors including KIR3DL1. Extensive allelic polymorphism and variability in expression can directly alter NK-cell phenotype and functions. Here we investigated the KIR3DL1(+) NK-cell repertoire, taking into account the allelic KIR3DL1/S1 polymorphism, KIR3DL1 phenotype, and function. All 109 studied individuals possessed at least one KIR3DL1 allele, with weak KIR3DL1*054, or null alleles being frequently present. In KIR3DL1(high/null) individuals, we observed a bimodal distribution of KIR3DL1(+) NK cells identified by a different KIR3DL1 expression level and cell frequency regardless of a similar amount of both KIR3DL1 transcripts, HLA background, or KIR2D expression. However, this bimodal distribution can be explained by a functional selection following a hierarchy of KIR3DL1 receptors. The higher expression of KIR3DL1 observed on cord blood NK cells suggests the expression of the functional KIR3DL1*004 receptors. Thus, the low amplification of KIR3DL1(high) , KIR3DL1*004 NK-cell subsets during development may be due to extensive signaling via these two receptors. Albeit in a nonexclusive manner, individual immunological experience may contribute to shaping the KIR3DL1 NK-cell repertoire. Together, this study provides new insight into the mechanisms regulating the KIR3DL1 NK-cell repertoire.

MICA variant promotes allosensitization after kidney transplantation.

MHC class I-related chain A (MICA) antigens are surface glycoproteins strongly implicated in innate immunity, and the MICA gene is highly polymorphic. Clinical observations suggest a role for donor MICA antigens expressed on transplant endothelial cells in the alloimmune response, but the effect of MICA genotype is not well understood. Here, we investigated the immunologic effect of the A5.1 mutation, related to the common MICA*008 allele. Compared with wild-type endothelial cells (ECs), homozygosity for MICA A5.1 associated with an endothelial phenotype characterized by 7- to 10-fold higher levels of MICA mRNA and MICA proteins at the cell surface, as well as exclusive release in exosomes instead of enzymatic cleavage. Mechanistically, we did not detect quantitative changes in regulatory microRNAs. Functionally, A5.1 ECs enhanced NKG2D interaction and natural killer cell activation, promoting NKG2D-dependent lysis of ECs. In kidney transplant recipients, polyreactive anti-MICA sera bound preferentially to ECs from MICA A5.1 donors, suggesting that MICA*008(A5.1) molecules are the preferential antigenic determinants on ECs of grafts. Furthermore, the incidence of MICA A5.1 mismatch revealed a statistically significant association between donor MICA A5.1 and both anti-MICA sensitization and increased proteinuria in kidney recipients. Taken together, these results identify the A5.1 mutation as an immunodominant factor and a potential risk factor for transplant survival.

HLA-C*01:224N, a novel null HLA-C allele characterized by two next-generation sequencing methods.

We describe here the novel HLA-C*01:224N allele which has a premature stop codon in exon 3.

Characterization of the novel HLA-A*01:405 allele by two next generation sequencing methods.

The novel HLA-A*01:405 allele was characterized using two next generation sequencing technologies.

Characterization of the novel HLA-A*01:406 allele by two next generation sequencing methods.

The novel HLA-A*01:406 allele was characterized using two next generation sequencing technologies.

Characterization of the novel HLA-C*06:346 allele by two next-generation sequencing methods.

The novel HLA-C*06:346 allele was characterized using two next generation sequencing technologies.

Characterization of the novel HLA-DRB1*11:296 allele by two next-generation sequencing methods.

The novel HLA-DRB1*11:296 allele was characterized using two next generation sequencing technologies.

Characterization of the novel HLA-A*03:425 allele by two next-generation sequencing methods.

The novel HLA-A*03:425 allele was characterized using two next-generation sequencing technologies.

Characterization of the novel HLA-C*02:207 allele by two next-generation sequencing methods.

The novel HLA-C*02:207 allele was characterized using two next generation sequencing technologies.

HLA-B*48:53, a novel HLA-B allele with two exonic mutations.

The novel HLA-B*48:53 allele was characterized using two next generation sequencing technologies.

Characterization of the novel HLA-C*07:977 allele by two next-generation sequencing methods.

The novel HLA-C*07:977 allele was characterized using two next generation sequencing technologies.

Characterization of the novel HLA-C*05:01:68 allele by two next-generation sequencing methods.

The novel HLA-C*05:01:68 allele was characterized using two next generation sequencing technologies.

Characterization of the novel HLA-B*15:10:08 allele by two next-generation sequencing methods.

The novel HLA-B*15:10:08 allele was characterized using two next generation sequencing technologies.

Characterization of the novel HLA-B*40:02:35 allele by two next-generation sequencing methods.

The novel HLA-B*40:02:35 allele was characterized using two next generation sequencing technologies.

Characterization of the novel HLA-C*07:01:105 allele by two next-generation sequencing methods.

The novel HLA-C*07:01:105 allele was characterized using two next generation sequencing technologies.

Characterization of the novel HLA-A*23:118 allele by two next-generation sequencing methods.

The novel HLA-A*23:118 allele was characterized using two next generation sequencing technologies.

Characterization of the novel HLA-DRB1*04:334 allele by two next-generation sequencing methods.

The novel HLA-DRB1*04:334 allele was characterized using two next-generation sequencing technologies.