MHCDB: database of the human MHC (release 2)

[Association between HLA-A and HLA-DRB1 allele polymorphisms and susceptibility to tuberculosis in southern Chinese population]

OBJECTIVE

To study the relationship between HLA allele frequencies in peripheral blood mononuclear cells (PBMCs) and the susceptibility to tuberculosis in southern Chinese population.

METHODS

The polymorphisms of HLA-A and HLA-DRB1 loci in the PBMCs were analyzed in 294 patients with active tuberculosis using polymerase chain reaction-sequence based typing (PCT-SBT). The allele frequencies in the patients were compared with the data from 644 control southern Chinese subjects obtained from the online database Allele Frequencies in Worldwide Population.

RESULTS

The frequencies of HLA-A^* 0101 and HLA-DRB1^*1454 alleles in the patient cohort with pulmonary tuberculosis were significantly higher than those in the control group (2.4% vs 0.6%, χ²=10.788, P=0.001, P_c=0.016; 7.5% vs 0%, χ²=69.850, P < 0.0001); the frequencies of HLA-DRB1^*1202 and HLA-DRB1^*1401 alleles were significantly lower in this patient cohort than in the control group (10.4% vs 16.1%, χ²=9.845, P=0.002, P_c=0.044; 0% vs 3.1%, χ²=18.520, P < 0.001).

CONCLUSIONS

The frequencies of HLA-A and HLA-DRB1 alleles are correlated with the susceptibility to active tuberculosis in this southern Chinese population. HLA-A^*0101, HLA-DRB1^*1454 and the other 3 alleles are likely susceptible genes to tuberculosis, while HLA-DRB1^*1202, HLA-DRB1^*1401 and the other 4 alleles can be protective genes in this population.

Viral proteome size and CD8+ T cell epitope density are correlated: the effect of complexity on selection

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We analyze the relation between viral complexity and their adaptation to the host immune system.

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Viruses with few proteins and low number of nucleotides remove more CD8+ T cell epitopes.

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Within a virus, short proteins (with fewer amino acids) adapt better than long ones.

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The relation between total size and adaptation is host specific.

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Complexity limits genetic adaptation in the high-mutation rate strong selection regime.

The relation between the complexity of organisms and proteins and their evolution rates has been discussed in the context of multiple generic models. The main robust claim from most such models is the negative relation between complexity and the accumulation rate of mutations.

Viruses accumulate escape mutations in their epitopes to avoid detection and destruction of their host cell by CD8+ T cells. The extreme regime of immune escape, namely, strong selection and high mutation rate, provide an opportunity to extend and validate the existing models of relation between complexity and evolution rate as proposed by Fisher and Kimura.

Using epitope prediction algorithms to compute the epitopes presented on the most frequent human HLA alleles in over 100 fully sequenced human viruses, and over 900 non-human viruses, we here study the correlation between viruses/proteins complexity (as measured by the number of proteins in the virus and the length of each protein, respectively) and the rate of accumulation of escape mutation. The latter is evaluated by measuring the normalized epitope density of viral proteins.

If the virus/protein complexity prevents the accumulation of escape mutations, the epitope density is expected to be positively correlated with both the number of proteins in the virus and the length of proteins. We show that such correlations are indeed observed for most human viruses. For non-human viruses the correlations were much less significant, indicating that the correlation is indeed induced by human HLA molecules.

Major histocompatibility polymorphism associated with resistance towards amoebic gill disease in Atlantic salmon (Salmo salar L.)

The association between major histocompatibility (MH) polymorphism and the severity of infection by amoebic gill disease (AGD) was investigated across 30 full sibling families of Atlantic salmon. Individuals were challenged with AGD for 19days and then their severity of infection scored by histopathological examination of the gills. Fish were then genotyped for the MH class I (Sasa-UBA) and MH class II alpha (Sasa-DAA) genes using polymorphic repeats embedded within the 3' untranslated regions of the Sasa-UBA and Sasa-DAA genes. High variation in the severity of infection was observed across the sample material, ranging from 0% to 85% gill filaments infected. In total, seven Sasa-DAA-3UTR and ten Sasa-UBA-3UTR marker alleles were identified across the 30 families. A significant association between the marker allele Sasa-DAA-3UTR 239 and a reduction in AGD severity was detected. There was also a significant association found between AGD severity and the presence of two Sasa-DAA-3UTR genotypes. While the associations between MH allele/genotypes and AGD severity reported herein may be statistically significant, the small sample sizes observed for some alleles and genotypes means these associations should be considered as suggestive and future research is required to verify their biological significance.

The power of an integrated informatic and molecular approach to type 1 diabetes research

Recent years have witnessed an explosive growth in available biological data. This includes a tremendous quantity of sequence data (e.g., biological structures, genetic and physical maps, pathways) generated by genome and transcriptome projects focused on humans, mice, and a multitude of other species. Diabetes research stands to greatly benefit from this data, which is distributed across public and private databases and the scientific literature. The increasing quantity and complexity of this biological data necessitates use of novel bioinformatics strategies for its efficient retrieval, analysis, and interpretation. Bioinformatic capability is becoming increasingly indispensable for fast and comprehensive analysis of biological data by diabetes researchers. There is great potential for diabetes scientists and clinicians to take advantage of recent bioinformatics and knowledge discovery developments to radically transform and advance this field of research. This paper will review advances in the field of bioinformatics relevant to diabetes research and preview a new specialty diabetes database, Diabetaeta, that we are creating to serve as a central bioinformatic portal for type 1 diabetes research, as well as serving as a public repository for beta cell gene and protein expression data.

Molecular immunology databases and data repositories

Over recent years databases have become an extremely important resource for biomedical research. Immunology research is increasingly dependent on access to extensive biological databases to extract existing information, plan experiments, and analyse experimental results. This review describes 15 immunological databases that have appeared over the last 30 years. In addition, important issues regarding database design and the potential for misuse of information contained within these databases are discussed. Access pointers are provided for the major immunological databases and also for a number of other immunological resources accessible over the World Wide Web (WWW).

The Chromosome 6 database at the Sanger Centre

The Sanger Centre Chromosome 6 Database (6ace) has been developed as the primary means of release of annotated sequencing and mapping information for human chromosome 6 from the Sanger Centre. It is also being used to curate global data from published and unpublished external sources. The rationale behind the development of 6ace is described, together with information as to how to access the database.

IMGT/HLA database--a sequence database for the human major histocompatibility complex

The IMGT/HLA Database is a specialist database for sequences of the human major histocompatibility (MHC) system. It includes all the HLA sequences officially recognised and named by the WHO Nomenclature Committee for Factors of the HLA System. The database provides users with online tools and facilities for the retrieval and analysis of these sequences. These include allele reports, alignment tools and a detailed database of all source cells. The online IMGT/HLA submission tool allows the submission of both new and confirmatory allele sequences directly to the WHO Nomenclature Committee for Factors of the HLA System. The latest version (release 1.4.1, November 1999) contains 1,015 HLA alleles from over 2,270 component sequences derived from the EMBL/GenBank/DDBJ databases. From its release in December 1998 until December 1999 the IMGT/HLA website received approximately 100,000 hits. The database currently focuses on the human major histocompatibility complex but will be used as a model system to provide specialist databases for the MHC sequences of other species.

A roadmap for HLA-DR peptide binding specificities

Peptide residue positional environments have previously been defined for class I MHC allelic products. These environments provide a less restrictive description of the traditional peptide binding pockets of class I molecules. When combined with the peptide anchor motifs that have been identified for some class I molecules, predictions as to likely motifs for other MHC molecules, which share the same potential environment can be made. Here, the same approach is used to derive peptide residue positional environments for class II MHC molecules. The environments are used to make predictions as to likely binding motifs for HLA-DR allelic products. The predictions are presented in the form of a Table and shown to have concordance with experimental results.

Positional cloning of novel skin-specific genes from the human epidermal differentiation complex

The epidermal differentiation complex, located on human chromosomal band 1q21, contains at least 20 genes expressed during epidermal differentiation. We constructed a 1.2-Mb YAC contig spanning the SPRR and S100 gene clusters. Restriction mapping and FISH confirmed the colinearity of the contig with the genomic restriction map (A. Volz et al., 1993, Genomics 18:92-99). However, the YAC clones revealed several additional restriction sites not previously detected in genomic DNA, presumably due to CpG methylation. Making use of cDNA selection, we have identified three novel cDNAs, all of which map to the SPRR/IVL region. All three transcripts are expressed at high levels in normal and psoriatic skin, but not in cultured keratinocytes or in a variety of cell lines and human tissues. The molecular cloning of this region provides a valuable tool for identifying additional epidermal differentiation genes and for elucidating the relationship between chromatin structure and gene expression during terminal differentiation.