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1.
Front Immunol ; 11: 453, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32296417

RESUMO

Dendritic cells (DCs) form a collection of antigen-presenting cells (APCs) that are distributed throughout the body. Conventional DCs (cDCs), which include the cDC1 and cDC2 subsets, and plasmacytoid DCs (pDCs) constitute the two major ontogenically distinct DC populations. The pDCs complete their differentiation in the bone marrow (BM), whereas the cDC subsets derive from pre-committed BM precursors, the pre-cDC, that seed lymphoid and non-lymphoid tissues where they further differentiate into mature cDC1 and cDC2. Within different tissues, cDCs express distinct phenotype and function. Notably, cDCs in the thymus are exquisitely efficient at processing and presenting antigens in the class II pathway, whereas in the spleen they do so only upon maturation induced by danger signals. To appraise this functional heterogeneity, we examined the regulation of the expression of distinct antigen-processing enzymes during DC ontogeny. We analyzed the expression of cathepsin S (CTSS), cathepsin L (CTSL), and thymus-specific serine protease (TSSP), three major antigen-processing enzymes regulating class II presentation in cDC, by DC BM precursors and immature and mature cDCs from the spleen and thymus. We found that pre-cDCs in the BM express relatively high levels of these different proteases. Then, their expression is modulated in a tissue-specific and subset-specific manner with immature and mature thymic cDCs expressing overall higher levels than immature splenic cDCs. On the other hand, the TSSP expression level is selectively down-regulated in spleen pDCs, whereas CTSS and CTSL are both increased in thymic and splenic pDCs. Hence, tissue-specific factors program the expression levels of these different proteases during DC differentiation, thus conferring tissue-specific function to the different DC subsets.


Assuntos
Catepsina L/metabolismo , Catepsinas/metabolismo , Células Dendríticas/fisiologia , Serina Proteases/metabolismo , Timo/metabolismo , Animais , Apresentação de Antígeno , Catepsina L/genética , Catepsinas/genética , Diferenciação Celular , Citocinas/metabolismo , Ativação Enzimática , Regulação da Expressão Gênica , Camundongos , Camundongos Endogâmicos C57BL , Camundongos Endogâmicos NOD , Especificidade de Órgãos , Serina Proteases/genética , Células Th1/imunologia , Células Th2/imunologia
2.
J Immunol ; 199(11): 3748-3756, 2017 12 01.
Artigo em Inglês | MEDLINE | ID: mdl-29061767

RESUMO

The genetic predisposition to multiple sclerosis (MS) is most strongly conveyed by MHC class II haplotypes, possibly by shaping the autoimmune CD4 T cell repertoire. Whether Ag-processing enzymes contribute to MS susceptibility by editing the peptide repertoire presented by these MHC haplotypes is unclear. Thymus-specific serine protease (TSSP) is expressed by thymic epithelial cells and thymic dendritic cells (DCs) and, in these two stromal compartments, TSSP edits the peptide repertoire presented by class II molecules. We show in this article that TSSP increases experimental autoimmune encephalomyelitis severity by limiting central tolerance to myelin oligodendrocyte glycoprotein. The effect on experimental autoimmune encephalomyelitis severity was MHC class II allele dependent, because the lack of TSSP expression conferred protection in NOD mice but not in C57BL/6 mice. Importantly, although human thymic DCs express TSSP, individuals segregate into two groups having a high or 10-fold lower level of expression. Therefore, the level of TSSP expression by thymic DCs may modify the risk factors for MS conferred by some MHC class II haplotypes.


Assuntos
Células Dendríticas/imunologia , Encefalomielite Autoimune Experimental/imunologia , Células Epiteliais/imunologia , Esclerose Múltipla/imunologia , Serina Endopeptidases/genética , Serina Endopeptidases/metabolismo , Timo/metabolismo , Adolescente , Animais , Células Cultivadas , Tolerância Central , Criança , Pré-Escolar , Feminino , Regulação da Expressão Gênica , Predisposição Genética para Doença , Antígenos de Histocompatibilidade Classe II/genética , Humanos , Masculino , Camundongos , Camundongos Endogâmicos C57BL , Camundongos Endogâmicos NOD , Camundongos Knockout , Camundongos SCID , Glicoproteína Mielina-Oligodendrócito/imunologia
3.
J Bacteriol ; 195(4): 765-76, 2013 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-23222724

RESUMO

The soil bacterium Pseudomonas protegens Pf-5 (previously called P. fluorescens Pf-5) produces two siderophores, enantio-pyochelin and a compound in the large and diverse pyoverdine family. Using high-resolution mass spectroscopy, we determined the structure of the pyoverdine produced by Pf-5. In addition to producing its own siderophores, Pf-5 also utilizes ferric complexes of some pyoverdines produced by other strains of Pseudomonas spp. as sources of iron. Previously, phylogenetic analysis of the 45 TonB-dependent outer membrane proteins in Pf-5 indicated that six are in a well-supported clade with ferric-pyoverdine receptors (Fpvs) from other Pseudomonas spp. We used a combination of phylogenetics, bioinformatics, mutagenesis, pyoverdine structural determinations, and cross-feeding bioassays to assign specific ferric-pyoverdine substrates to each of the six Fpvs of Pf-5. We identified at least one ferric-pyoverdine that was taken up by each of the six Fpvs of Pf-5. Functional redundancy of the Pf-5 Fpvs was also apparent, with some ferric-pyoverdines taken up by all mutants with a single Fpv deletion but not by a mutant having deletions in two of the Fpv-encoding genes. Finally, we demonstrated that phylogenetically related Fpvs take up ferric complexes of structurally related pyoverdines, thereby establishing structure-function relationships that can be employed in the future to predict the pyoverdine substrates of Fpvs in other Pseudomonas spp.


Assuntos
Proteínas da Membrana Bacteriana Externa/metabolismo , Regulação Bacteriana da Expressão Gênica/fisiologia , Oligopeptídeos/metabolismo , Pseudomonas/metabolismo , Proteínas da Membrana Bacteriana Externa/genética , Bioensaio , Biologia Computacional , Deleção de Genes , Ferro , Espectrometria de Massas , Modelos Moleculares , Mutagênese , Filogenia , Conformação Proteica , Pseudomonas/classificação , Pseudomonas/genética , Alinhamento de Sequência , Especificidade por Substrato
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