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1.
J Immunol ; 206(8): 1806-1816, 2021 04 15.
Artigo em Inglês | MEDLINE | ID: mdl-33811104

RESUMO

CD4+ T cells enable the critical B cell humoral immune protection afforded by most effective vaccines. We and others have recently identified an alternative source of help for B cells in mice, invariant NK T (iNKT) cells. iNKT cells are innate glycolipid-specific T cells restricted to the nonpolymorphic Ag-presenting molecule CD1d. As such, iNKT cells respond to glycolipids equally well in all people, making them an appealing adjuvant for universal vaccines. We tested the potential for the iNKT glycolipid agonist, α-galactosylceramide (αGC), to serve as an adjuvant for a known human protective epitope by creating a nanoparticle that delivers αGC plus antigenic polysaccharides from Streptococcus pneumoniae αGC-embedded nanoparticles activate murine iNKT cells and B cells in vitro and in vivo, facilitate significant dose sparing, and avoid iNKT anergy. Nanoparticles containing αGC plus S. pneumoniae polysaccharides elicits robust IgM and IgG in vivo and protect mice against lethal systemic S. pneumoniae However, codelivery of αGC via nanoparticles actually eliminated Ab protection elicited by a T-independent S. pneumoniae vaccine. This is consistent with previous studies demonstrating iNKT cell help for B cells following acute activation, but negative regulation of B cells during chronic inflammation. αGC-containing nanoparticles represent a viable platform for broadly efficacious vaccines against deadly human pathogens, but their potential for eliminating B cells under certain conditions suggests further clarity on iNKT cell interactions with B cells is warranted.


Assuntos
Linfócitos B/imunologia , Galactosilceramidas/metabolismo , Nanopartículas/metabolismo , Células T Matadoras Naturais/imunologia , Infecções Pneumocócicas/imunologia , Polissacarídeos Bacterianos/metabolismo , Vacinas Estreptocócicas/imunologia , Streptococcus pneumoniae/imunologia , Animais , Células Cultivadas , Galactosilceramidas/imunologia , Humanos , Imunidade Humoral , Imunoglobulina G/metabolismo , Imunoglobulina M/metabolismo , Ativação Linfocitária , Camundongos , Polissacarídeos Bacterianos/imunologia , Linfócitos T/imunologia
2.
Cell ; 179(4): 846-863.e24, 2019 10 31.
Artigo em Inglês | MEDLINE | ID: mdl-31668803

RESUMO

Dendritic cells (DCs) play a critical role in orchestrating adaptive immune responses due to their unique ability to initiate T cell responses and direct their differentiation into effector lineages. Classical DCs have been divided into two subsets, cDC1 and cDC2, based on phenotypic markers and their distinct abilities to prime CD8 and CD4 T cells. While the transcriptional regulation of the cDC1 subset has been well characterized, cDC2 development and function remain poorly understood. By combining transcriptional and chromatin analyses with genetic reporter expression, we identified two principal cDC2 lineages defined by distinct developmental pathways and transcriptional regulators, including T-bet and RORγt, two key transcription factors known to define innate and adaptive lymphocyte subsets. These novel cDC2 lineages were characterized by distinct metabolic and functional programs. Extending our findings to humans revealed conserved DC heterogeneity and the presence of the newly defined cDC2 subsets in human cancer.


Assuntos
Diferenciação Celular/genética , Linhagem da Célula/genética , Heterogeneidade Genética , Neoplasias/imunologia , Imunidade Adaptativa/genética , Animais , Diferenciação Celular/imunologia , Cromatina/genética , Células Dendríticas/imunologia , Regulação da Expressão Gênica no Desenvolvimento , Humanos , Imunidade Inata/genética , Subpopulações de Linfócitos/imunologia , Subpopulações de Linfócitos/metabolismo , Camundongos , Neoplasias/genética , Linfócitos T/imunologia , Linfócitos T/metabolismo , Transcrição Gênica/imunologia
3.
Cell ; 174(5): 1293-1308.e36, 2018 08 23.
Artigo em Inglês | MEDLINE | ID: mdl-29961579

RESUMO

Knowledge of immune cell phenotypes in the tumor microenvironment is essential for understanding mechanisms of cancer progression and immunotherapy response. We profiled 45,000 immune cells from eight breast carcinomas, as well as matched normal breast tissue, blood, and lymph nodes, using single-cell RNA-seq. We developed a preprocessing pipeline, SEQC, and a Bayesian clustering and normalization method, Biscuit, to address computational challenges inherent to single-cell data. Despite significant similarity between normal and tumor tissue-resident immune cells, we observed continuous phenotypic expansions specific to the tumor microenvironment. Analysis of paired single-cell RNA and T cell receptor (TCR) sequencing data from 27,000 additional T cells revealed the combinatorial impact of TCR utilization on phenotypic diversity. Our results support a model of continuous activation in T cells and do not comport with the macrophage polarization model in cancer. Our results have important implications for characterizing tumor-infiltrating immune cells.


Assuntos
Neoplasias da Mama/imunologia , Regulação Neoplásica da Expressão Gênica , Receptores de Antígenos de Linfócitos T/metabolismo , Análise de Sequência de RNA , Análise de Célula Única , Microambiente Tumoral/imunologia , Teorema de Bayes , Neoplasias da Mama/patologia , Análise por Conglomerados , Biologia Computacional , Feminino , Perfilação da Expressão Gênica , Humanos , Sistema Imunitário , Imunoterapia/métodos , Linfonodos , Linfócitos do Interstício Tumoral , Macrófagos/metabolismo , Fenótipo , Transcriptoma
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