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1.
Nat Immunol ; 19(9): 986-1000, 2018 09.
Artigo em Inglês | MEDLINE | ID: mdl-30127432

RESUMO

Gain-of-function mutations in the gene encoding the phosphatidylinositol-3-OH kinase catalytic subunit p110δ (PI3Kδ) result in a human primary immunodeficiency characterized by lymphoproliferation, respiratory infections and inefficient responses to vaccines. However, what promotes these immunological disturbances at the cellular and molecular level remains unknown. We generated a mouse model that recapitulated major features of this disease and used this model and patient samples to probe how hyperactive PI3Kδ fosters aberrant humoral immunity. We found that mutant PI3Kδ led to co-stimulatory receptor ICOS-independent increases in the abundance of follicular helper T cells (TFH cells) and germinal-center (GC) B cells, disorganized GCs and poor class-switched antigen-specific responses to immunization, associated with altered regulation of the transcription factor FOXO1 and pro-apoptotic and anti-apoptotic members of the BCL-2 family. Notably, aberrant responses were accompanied by increased reactivity to gut bacteria and a broad increase in autoantibodies that were dependent on stimulation by commensal microbes. Our findings suggest that proper regulation of PI3Kδ is critical for ensuring optimal host-protective humoral immunity despite tonic stimulation from the commensal microbiome.


Assuntos
Linfócitos B/fisiologia , Microbioma Gastrointestinal/imunologia , Centro Germinativo/fisiologia , Mutação/genética , Fosfatidilinositol 3-Quinases/genética , Linfócitos T Auxiliares-Indutores/fisiologia , Animais , Autoanticorpos/sangue , Células Cultivadas , Classe I de Fosfatidilinositol 3-Quinases/genética , Modelos Animais de Doenças , Proteína Forkhead Box O1/genética , Proteína Forkhead Box O1/metabolismo , Humanos , Imunidade Humoral/genética , Switching de Imunoglobulina/genética , Síndromes de Imunodeficiência/genética , Camundongos , Camundongos Endogâmicos C57BL , Camundongos Transgênicos , Proteínas Proto-Oncogênicas c-bcl-2/genética , Proteínas Proto-Oncogênicas c-bcl-2/metabolismo
2.
BMC Genet ; 8: 82, 2007 Nov 29.
Artigo em Inglês | MEDLINE | ID: mdl-18047652

RESUMO

BACKGROUND: Chromosomal region that causes distorted segregation ratios is referred to as segregation distortion locus (SDL). The distortion is caused either by differential representation of SDL genotypes in gametes before fertilization or by viability differences of SDL genotypes after fertilization but before genotype scoring. In both cases, observable phenotypes are distorted for marker loci in the chromosomal region close to the SDL. Under the quantitative genetics model for viability selection by proposing a continuous liability controlling the viability of individual, a simplex algorithm has been used to search for the solution in SDL mapping. However, they did not consider the effects of SDL on the construction of linkage maps. RESULTS: We proposed a multipoint maximum-likelihood method to estimate the position and the effects of SDL under the liability model together with both selection coefficients of marker genotypes and recombination fractions. The method was implemented via an expectation and maximization (EM) algorithm. The superiority of the method proposed under the liability model over the previous methods was verified by a series of Monte Carlo simulation experiments, together with a working example derived from the MAPMAKER/QTL software. CONCLUSION: Our results suggested that the new method can serve as a powerful alternative to existing methods for SDL mapping. Under the liability model, the new method can simultaneously estimate the position and the effects of SDL as well as the recombinant fractions between adjacent markers, and also be used to probe into the genetic mechanism for the bias of uncorrected map distance and to elucidate the relationship between the viability selection and genetic linkage.


Assuntos
Algoritmos , Mapeamento Cromossômico/métodos , Segregação de Cromossomos/genética , Ligação Genética , Modelos Genéticos , Mapeamento Cromossômico/estatística & dados numéricos , Genótipo , Solanum lycopersicum/genética , Método de Monte Carlo
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