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1.
Immunogenetics ; 63(1): 1-11, 2011 Jan.
Article in English | MEDLINE | ID: mdl-20938659

ABSTRACT

Pathogenic common variable immunodeficiency diseases (CVID) are genetic, usually inherited diseases for which a limited number of genetic defects have been implicated. As CVID presents with a wide range of clinical characteristics, there are likely diverse and for the most part unidentified genetic causes. In some individuals, defects in somatic hypermutation (SHM) have been suggested as the underlying cause of CVID. To address the mechanisms of SHM defects in CVID, we conducted a comprehensive mutational analysis of immunoglobulin heavy chain sequences from CVID patients. We identified several remarkably specific alterations in the spectra of SHM in comparison to healthy individuals. We provide evidence that some CVID cases are associated with defective repair of AID-induced mutations by the DNA mismatch repair (MMR) machinery. Our findings together with reports of increased chromosomal radiosensitivity and associated lymphoproliferative disorders amongst CVID patients, suggest that altered DNA damage repair may be a cause of CVID.


Subject(s)
Common Variable Immunodeficiency/genetics , Common Variable Immunodeficiency/immunology , DNA Repair/genetics , Somatic Hypermutation, Immunoglobulin , Antibody Affinity/genetics , Base Sequence , Case-Control Studies , Common Variable Immunodeficiency/metabolism , Cytidine Deaminase/metabolism , DNA Mutational Analysis , DNA Primers/genetics , Genes, Immunoglobulin Heavy Chain , Humans , Immunoglobulin Class Switching
2.
Genomics Proteomics Bioinformatics ; 8(3): 159-69, 2010 Sep.
Article in English | MEDLINE | ID: mdl-20970744

ABSTRACT

Neisseria meningitidis is the agent of invasive meningococcal disease, including cerebral meningitis and septicemia. Because the diseases caused by different clonal groups (sequence types) have their own epidemiological characteristics, it is important to understand the differences among the genomes of the N. meningitidis clonal groups. To this end, a novel interpretation of a structural dot plot of genomes was devised and applied; exact nucleotide matches between the genomes of N. meningitidis serogroup A strain Z2491 and serogroup B strain MC58 were identified, leading to the specification of various structural regions. Known and putative virulence genes for each N. meningitidis strain were then classified into these regions. We found that virulence genes of MC58 tend more to the translocated regions (chromosomal segments in new sequence contexts) than do those of Z2491, notably tending towards the interface between one of the translocated regions and the collinear region. Within the col-linear region, virulence genes tend to occur within 16 kb of gaps in the exact matches. Verification of these tendencies using genes clustered in the cps locus was sufficiently supportive to suggest that these tendencies can be used to focus the search for and understanding of virulence genes and mechanisms of pathogenicity in these two organisms.


Subject(s)
Genome, Bacterial , Neisseria meningitidis/metabolism , Computational Biology/methods , Genomics/methods , Meningococcal Infections/microbiology , Models, Genetic , Multigene Family , Phenotype , Polymorphism, Genetic , Proteomics/methods , Software , Translocation, Genetic , Virulence
3.
Influenza Other Respir Viruses ; 4(5): 249-58, 2010 Sep.
Article in English | MEDLINE | ID: mdl-20716156

ABSTRACT

BACKGROUND: The relatively mild nature of the 2009 influenza pandemic (nH1N1) highlights the overriding importance of pre-existing immune memory. The absence of cross-reactive antibodies to nH1N1 in most individuals suggests that such attenuation may be attributed to pre-existing cellular immune responses to epitopes shared between nH1N1 virus and previously circulating strains of inter-pandemic influenza A viruses. RESULTS: We sought to identify potential CD4+ T cell epitopes and predict the level of cross-reactivity of responding T cells. By performing large-scale major histocompatibility complex II analyses on Hemagglutinin (HA) proteins, we investigated the degree of T-cell cross-reactivity between seasonal influenza A (sH1N1, H3N2) from 1968 to 2009 and nH1N1 strains. Each epitope was examined against all the protein sequences that correspond to sH1N1, H3N2, and nH1N1. T-cell cross-reactivity was estimated to be 52%, and maximum conservancy was found between sH1N1 and nH1N1 with a significant correlation (P < 0.05). CONCLUSIONS: Given the importance of cellular responses in kinetics of influenza infection in humans, our findings underscore the role of T-cell assays for understanding the inter-pandemic variability in severity and for planning treatment methods for emerging influenza viruses.


Subject(s)
Conserved Sequence , Cross Reactions , Epitopes, T-Lymphocyte/immunology , Hemagglutinins, Viral/immunology , Influenza A Virus, H1N1 Subtype/immunology , Influenza A Virus, H3N2 Subtype/immunology , Histocompatibility Antigens Class II/immunology , Humans , Immunity, Cellular , Influenza, Human/immunology
4.
Genomics Proteomics Bioinformatics ; 7(1-2): 47-56, 2009 Jun.
Article in English | MEDLINE | ID: mdl-19591791

ABSTRACT

The surface glycoprotein hemagglutinin (HA) helps the influenza A virus to evade the host immune system by antigenic variation and is a major driving force for viral evolution. In this study, the selection pressure on HA of H5N1 influenza A virus was analyzed using bioinformatics algorithms. Most of the identified positive selection (PS) sites were found to be within or adjacent to epitope sites. Some of the identified PS sites are consistent with previous experimental studies, providing further support to the biological significance of our findings. The highest frequency of PS sites was observed in recent strains isolated during 2005-2007. Phylogenetic analysis was also conducted on HA sequences from various hosts. Viral drift is almost similar in both avian and human species with a progressive trend over the years. Our study reports new mutations in functional regions of HA that might provide markers for vaccine design or can be used to predict isolates of pandemic potential.


Subject(s)
Computational Biology , Hemagglutinins/genetics , Influenza A Virus, H5N1 Subtype/genetics , Selection, Genetic , Viral Proteins/genetics , Algorithms , Amino Acid Sequence , Animals , Epitopes/analysis , Epitopes/genetics , Evolution, Molecular , Hemagglutinins/analysis , Humans , Molecular Sequence Data , Mutation , Phylogeny , Sequence Alignment , Viral Proteins/analysis
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