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1.
PLoS Genet ; 16(10): e1009199, 2020 10.
Artigo em Inglês | MEDLINE | ID: mdl-33104735

RESUMO

Interferons (IFNs) are cytokines that are central to the host defence against viruses and other microorganisms. If not properly regulated, IFNs may contribute to the pathogenesis of inflammatory autoimmune, or infectious diseases. To identify genetic polymorphisms regulating the IFN system we performed an unbiased genome-wide protein-quantitative trait loci (pQTL) mapping of cell-type specific type I and type II IFN receptor levels and their responses in immune cells from 303 healthy individuals. Seven genome-wide significant (p < 5.0E-8) pQTLs were identified. Two independent SNPs that tagged the multiple sclerosis (MS)-protective HLA class I alleles A*02/A*68 and B*44, respectively, were associated with increased levels of IFNAR2 in B and T cells, with the most prominent effect in IgD-CD27+ memory B cells. The increased IFNAR2 levels in B cells were replicated in cells from an independent set of healthy individuals and in MS patients. Despite increased IFNAR2 levels, B and T cells carrying the MS-protective alleles displayed a reduced response to type I IFN stimulation. Expression and methylation-QTL analysis demonstrated increased mRNA expression of the pseudogene HLA-J in B cells carrying the MS-protective class I alleles, possibly driven via methylation-dependent transcriptional regulation. Together these data suggest that the MS-protective effects of HLA class I alleles are unrelated to their antigen-presenting function, and propose a previously unappreciated function of type I IFN signalling in B and T cells in MS immune-pathogenesis.


Assuntos
Predisposição Genética para Doença , Antígeno HLA-A2/genética , Esclerose Múltipla/genética , Locos de Características Quantitativas/genética , Adulto , Idoso , Idoso de 80 Anos ou mais , Alelos , Linfócitos B/imunologia , Linfócitos B/patologia , Feminino , Citometria de Fluxo , Antígeno HLA-A2/imunologia , Humanos , Interferon Tipo I/genética , Interferon Tipo I/imunologia , Interferon gama/genética , Interferon gama/imunologia , Células Matadoras Naturais/imunologia , Masculino , Pessoa de Meia-Idade , Esclerose Múltipla/epidemiologia , Esclerose Múltipla/imunologia , Esclerose Múltipla/patologia , Polimorfismo de Nucleotídeo Único/genética , Receptor de Interferon alfa e beta/genética , Receptor de Interferon alfa e beta/imunologia , Receptores de Interferon/genética , Receptores de Interferon/imunologia , Linfócitos T/imunologia , Linfócitos T/patologia
2.
Ann Rheum Dis ; 77(5): 736-743, 2018 05.
Artigo em Inglês | MEDLINE | ID: mdl-29437559

RESUMO

OBJECTIVES: Systemic lupus erythematosus (SLE) is a chronic autoimmune condition with heterogeneous presentation and complex aetiology where DNA methylation changes are emerging as a contributing factor. In order to discover novel epigenetic associations and investigate their relationship to genetic risk for SLE, we analysed DNA methylation profiles in a large collection of patients with SLE and healthy individuals. METHODS: DNA extracted from blood from 548 patients with SLE and 587 healthy controls were analysed on the Illumina HumanMethylation 450 k BeadChip, which targets 485 000 CpG sites across the genome. Single nucleotide polymorphism (SNP) genotype data for 196 524 SNPs on the Illumina ImmunoChip from the same individuals were utilised for methylation quantitative trait loci (cis-meQTLs) analyses. RESULTS: We identified and replicated differentially methylated CpGs (DMCs) in SLE at 7245 CpG sites in the genome. The largest methylation differences were observed at type I interferon-regulated genes which exhibited decreased methylation in SLE. We mapped cis-meQTLs and identified genetic regulation of methylation levels at 466 of the DMCs in SLE. The meQTLs for DMCs in SLE were enriched for genetic association to SLE, and included seven SLE genome-wide association study (GWAS) loci: PTPRC (CD45), MHC-class III, UHRF1BP1, IRF5, IRF7, IKZF3 and UBE2L3. In addition, we observed association between genotype and variance of methylation at 20 DMCs in SLE, including at the HLA-DQB2 locus. CONCLUSIONS: Our results suggest that several of the genetic risk variants for SLE may exert their influence on the phenotype through alteration of DNA methylation levels at regulatory regions of target genes.


Assuntos
Metilação de DNA/genética , Regulação da Expressão Gênica/genética , Lúpus Eritematoso Sistêmico/genética , Adulto , Estudos de Casos e Controles , Mapeamento Cromossômico , Ilhas de CpG/genética , Feminino , Predisposição Genética para Doença , Estudo de Associação Genômica Ampla , Genótipo , Humanos , Fator Regulador 1 de Interferon/genética , Lúpus Eritematoso Sistêmico/sangue , Masculino , Pessoa de Meia-Idade , Polimorfismo de Nucleotídeo Único , Locos de Características Quantitativas
3.
Oncotarget ; 7(39): 64071-64088, 2016 Sep 27.
Artigo em Inglês | MEDLINE | ID: mdl-27590521

RESUMO

To characterize the mutational patterns of acute lymphoblastic leukemia (ALL) we performed deep next generation sequencing of 872 cancer genes in 172 diagnostic and 24 relapse samples from 172 pediatric ALL patients. We found an overall greater mutational burden and more driver mutations in T-cell ALL (T-ALL) patients compared to B-cell precursor ALL (BCP-ALL) patients. In addition, the majority of the mutations in T-ALL had occurred in the original leukemic clone, while most of the mutations in BCP-ALL were subclonal. BCP-ALL patients carrying any of the recurrent translocations ETV6-RUNX1, BCR-ABL or TCF3-PBX1 harbored few mutations in driver genes compared to other BCP-ALL patients. Specifically in BCP-ALL, we identified ATRX as a novel putative driver gene and uncovered an association between somatic mutations in the Notch signaling pathway at ALL diagnosis and increased risk of relapse. Furthermore, we identified EP300, ARID1A and SH2B3 as relapse-associated genes. The genes highlighted in our study were frequently involved in epigenetic regulation, associated with germline susceptibility to ALL, and present in minor subclones at diagnosis that became dominant at relapse. We observed a high degree of clonal heterogeneity and evolution between diagnosis and relapse in both BCP-ALL and T-ALL, which could have implications for the treatment efficiency.


Assuntos
Sequenciamento de Nucleotídeos em Larga Escala , Mutação , Recidiva Local de Neoplasia/genética , Leucemia-Linfoma Linfoblástico de Células Precursoras/genética , Proteínas Adaptadoras de Transdução de Sinal , Criança , Pré-Escolar , Estudos de Coortes , Análise Mutacional de DNA , Proteínas de Ligação a DNA , Proteína p300 Associada a E1A/genética , Epigênese Genética , Humanos , Imunofenotipagem , Lactente , Peptídeos e Proteínas de Sinalização Intracelular , Proteínas Nucleares/genética , Proteínas de Fusão Oncogênica/genética , Leucemia-Linfoma Linfoblástico de Células Precursoras B/genética , Leucemia-Linfoma Linfoblástico de Células T Precursoras/genética , Proteínas/genética , Recidiva , Indução de Remissão , Análise de Sequência de DNA , Fatores de Transcrição/genética , Translocação Genética
4.
Bioinformatics ; 32(7): 1080-2, 2016 04 01.
Artigo em Inglês | MEDLINE | ID: mdl-26553913

RESUMO

UNLABELLED: The Illumina Infinium HumanMethylation450 BeadChip (450k) is widely used for the evaluation of DNA methylation levels in large-scale datasets, particularly in cancer. The 450k design allows copy number variant (CNV) calling using existing bioinformatics tools. However, in cancer samples, numerous large-scale aberrations cause shifting in the probe intensities and thereby may result in erroneous CNV calling. Therefore, a baseline correction process is needed. We suggest the maximum peak of probe segment density to correct the shift in the intensities in cancer samples. AVAILABILITY AND IMPLEMENTATION: CopyNumber450kCancer is implemented as an R package. The package with examples can be downloaded at http://cran.r-project.org CONTACT: nour.marzouka@medsci.uu.se SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.


Assuntos
Ilhas de CpG , Metilação de DNA , Neoplasias/genética , Software , DNA de Neoplasias , Genoma Humano , Humanos , Análise de Sequência com Séries de Oligonucleotídeos
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