Use of a neural network to assign serologic specificities to HLA-A, -B and -DRB1 allelic products.

A computational method was used to predict the serologic specificities of HLA molecules encoded by the HLA-A, -B, and -DRB1 loci. The polypeptide sequences of a subset of alleles (numbering 149) with well-defined serologic assignments were used to train a neural network to predict broad and split serologic assignments for each HLA allelic product. The resultant neural network assignments were compared with those of a validation set containing the sequences of 74 HLA-A, 175 HLA-B, and 117 HLA-DRB1 alleles that had previous serologic test assignments but were not part of the training set. The network was able to correctly predict at least one of the serologic assignments of the majority of the validation alleles (99% of the HLA-A set, 86% HLA-B, 94% HLA-DRB1). The remainder received either no assignment (1% HLA-A, 13% HLA-B, 5% HLA-DRB1) or a different but closely related assignment (1% HLA-B and -DRB1). Overall, the variation in serologic assignment by the network appeared comparable to the assignments seen among different laboratories using serologic techniques. When used to predict the serologic assignments of 393 HLA alleles without known serologic types, the network was able to predict assignments for most alleles (95% HLA-A, 85% HLA-B, 96% HLA-DRB1). The majority of these assignments were consistent with assignments predicted by sequence homologies with known alleles. The remainder did not receive an assignment and likely represent new combinations of epitopes.

Diversity of alleles encoding HLA-B40: relative frequencies in united states populations and description of five novel alleles.

The frequency of each B*40 allele was determined by DNA sequencing in four major United States populations: Caucasians, African Americans, Asians/Pacific Islanders, and Hispanics. Thirty-two individuals from each ethnic group, who were previously described serologically as B40, B60, or B61, were randomly selected out of a pool of 82,979 unrelated individuals for allele characterization. Out of nine different B*40 alleles identified in this study, B*4001 and B*4002 were the two most frequent B*40 alleles in all the population groups. B*4001 was the primary B*40 allele seen in Caucasians (83%) and African Americans (76%), while B*4002 was found in the majority of Hispanics (62%). The distributions of both alleles were comparable in the Asian/Pacific Islander population. These two alleles were the only B*40 alleles detected in Caucasians while four to five additional B*40 alleles were seen in the other population groups. The other B*40 alleles detected in this study included: B*4003 and B*4010 in Asian/Pacific Islanders; B*4012 and B*4016 in African Americans; and B*4004, B*4006, and B*4027 in Hispanics. Analysis revealed significant differences between Hispanics and all other groups as well as between African Americans and Asian/Pacific Islanders. This report also describes five novel B*40 alleles: B*4019, B*4020, B*4024, B*4027, and B*4028.

Assessing the binding of four Plasmodium falciparum T helper cell epitopes to HLA-DQ and induction of T-cell responses in HLA-DQ transgenic mice.

A subunit vaccine for Plasmodium falciparum malaria will need to contain well-defined T helper cell epitopes that induce protective immune responses to the parasite. One major barrier to the use of subunit vaccines is the requirement for T helper cell epitopes to be presented by the HLA class II molecules that are present in the population being vaccinated. Since the majority of malaria studies have focused on HLA-DR, little information on the role of HLA-DQ in the binding and immune response to malarial epitopes is available. This study used an in vitro peptide-binding assay to predict the extent of HLA-DQ binding of four conserved T helper cell epitopes identified from asexual-stage malaria vaccine candidate antigens. Epstein-Barr virus (EBV)-transformed human B-cell lines expressing 14 different DQ molecules (DQ2.1, -2.2, -4.1, -4.2, -5.1 to -5.3, -6.1, -6.2, -6.4, -7.1, -7.3, -8, and -9) representing all broad serological specificities, including common DQ molecules present in populations in areas where malaria is endemic, were used in the binding assay. Moreover, an HLA-DQ transgenic mouse model was employed to evaluate the correlation between the in vitro DQ binding of the peptides and the generation of in vivo immune responses following peptide immunization. This study identified two broad DQ-binding peptides, ABRA#14 and SERA#9. ABRA#14 also induced T-cell proliferation and Th1-associated cytokine production in DQ8(+) transgenic mice. The combination of peptide binding to EBV-transformed cell lines and DQ transgenic mice provides a method for identifying additional T-cell epitopes for inclusion in a vaccine.

Frequencies of HLA-A2 alleles in five U.S. population groups. Predominance Of A*02011 and identification of HLA-A*0231.

Direct DNA sequencing was used to determine the frequency of alleles within the HLA-A2 family in five US population groups. The most frequently detected HLA-A2 allele in all groups was HLA-A*02011. Caucasian and Native American populations appear to be the most homogeneous exhibiting 95.7% and 94.3% A*02011, respectively. Hispanic and Asian/Pacific Islander populations were the most allelicly diverse populations with 9 and 7 different HLA-A2 alleles present, respectively, but the majority of the populations were HLA-A*02011. African-Americans were also diverse, not in the number of alleles seen, but in the percentage of non-A*02011 alleles in the population. HLA-A*0202 (25.8%) and A*0205 (12.9%) were present in a large percentage of African-Americans. Only 13 of the 31 known HLA-A2 alleles were observed in the study. The allelic distributions reflected statistically significant differences among population groups.

The human MHC : evidence for multiple HLA-D-region genes.

The human major histocompatibiliy complex regulates immune responsiveness through a complex series of HLA-D-region-controlled molecules. The use of monoclonal antibodies to dissect this expanding array of molecules has allowed the structural characterization of several of these molecular species. Here biochemical studies are discussed which, coupled with classic serological techniques, have been used to construct a model of the genetic organization of the human HLA-D region.