RESUMO
Plasmacytoid dendritic cells (pDCs) are a major source of type I interferon (IFN-I). What other functions pDCs exert in vivo during viral infections is controversial, and more studies are needed to understand their orchestration. In the present study, we characterize in depth and link pDC activation states in animals infected by mouse cytomegalovirus by combining Ifnb1 reporter mice with flow cytometry, single-cell RNA sequencing, confocal microscopy and a cognate CD4 T cell activation assay. We show that IFN-I production and T cell activation were performed by the same pDC, but these occurred sequentially in time and in different micro-anatomical locations. In addition, we show that pDC commitment to IFN-I production was marked early on by their downregulation of leukemia inhibitory factor receptor and was promoted by cell-intrinsic tumor necrosis factor signaling. We propose a new model for how individual pDCs are endowed to exert different functions in vivo during a viral infection, in a manner tightly orchestrated in time and space.
Assuntos
Linfócitos T CD4-Positivos/imunologia , Células Dendríticas/imunologia , Infecções por Herpesviridae/imunologia , Muromegalovirus/fisiologia , Animais , Células Cultivadas , Interferon Tipo I/metabolismo , Ativação Linfocitária , Camundongos , Camundongos Endogâmicos BALB C , Camundongos Endogâmicos C57BL , Camundongos Knockout , Microscopia Confocal , Análise de Sequência de RNA , Transdução de Sinais , Análise de Célula Única , Fator de Necrose Tumoral alfa/metabolismoRESUMO
Upon antigen exposure, activated B cells in antigen-draining lymphoid organs form microanatomical structures, called germinal centers (GCs), where affinity maturation occurs. Within the GC microenvironment, GC B cells undergo proliferation and B cell receptor (BCR) genes somatic hypermutation in the dark zone (DZ), and affinity-based selection in the light zone (LZ). In the current paradigm of GC dynamics, high-affinity LZ B cells may be selected by cognate T- follicular helper cells to either differentiate into plasma cells or memory B cells, or re-enter the DZ and initiate a new round of proliferation and BCR diversification, before migrating back to the LZ. Given the diversity of cell states and potential cell fates that GC B cells may adopt, the two-state DZ-LZ paradigm has been challenged by studies that explored GC B-cell heterogeneity with a variety of single-cell technologies. Here, we review studies and single-cell technologies which have allowed to refine the working model of GC B-cell cellular and molecular heterogeneity during affinity maturation. This review also covers the use of single-cell quantitative data for mathematical modeling of GC reactions, and the application of single-cell genomics to the study of GC-derived malignancies.
Assuntos
Linfócitos B/imunologia , Centro Germinativo/imunologia , Ativação Linfocitária/imunologia , Animais , Humanos , Modelos Teóricos , Análise de Célula ÚnicaRESUMO
Conventional type 1 dendritic cells (cDC1s) are critical for antitumor immunity. They acquire antigens from dying tumor cells and cross-present them to CD8+ T cells, promoting the expansion of tumor-specific cytotoxic T cells. However, the signaling pathways that govern the antitumor functions of cDC1s in immunogenic tumors are poorly understood. Using single-cell transcriptomics to examine the molecular pathways regulating intratumoral cDC1 maturation, we found nuclear factor κB (NF-κB) and interferon (IFN) pathways to be highly enriched in a subset of functionally mature cDC1s. We identified an NF-κB-dependent and IFN-γ-regulated gene network in cDC1s, including cytokines and chemokines specialized in the recruitment and activation of cytotoxic T cells. By mapping the trajectory of intratumoral cDC1 maturation, we demonstrated the dynamic reprogramming of tumor-infiltrating cDC1s by NF-κB and IFN signaling pathways. This maturation process was perturbed by specific inactivation of either NF-κB or IFN regulatory factor 1 (IRF1) in cDC1s, resulting in impaired expression of IFN-γ-responsive genes and consequently a failure to efficiently recruit and activate antitumoral CD8+ T cells. Last, we demonstrate the relevance of these findings to patients with melanoma, showing that activation of the NF-κB/IRF1 axis in association with cDC1s is linked with improved clinical outcome. The NF-κB/IRF1 axis in cDC1s may therefore represent an important focal point for the development of new diagnostic and therapeutic approaches to improve cancer immunotherapy.
Assuntos
Células Dendríticas/imunologia , Fator Regulador 1 de Interferon/imunologia , Melanoma/imunologia , NF-kappa B/imunologia , Neoplasias Cutâneas/imunologia , Animais , Feminino , Regulação Neoplásica da Expressão Gênica , Humanos , Fator Regulador 1 de Interferon/genética , Interferon gama/imunologia , Estimativa de Kaplan-Meier , Masculino , Melanoma/genética , Melanoma/mortalidade , Camundongos Transgênicos , NF-kappa B/genética , Neoplasias Cutâneas/genética , Neoplasias Cutâneas/mortalidadeRESUMO
Ageing profoundly changes our immune system and is thought to be a driving factor in the morbidity and mortality associated with infectious disease in older people. We have previously shown that the impaired immunity to vaccination that occurs in aged individuals is partly attributed to the effect of age on T follicular helper (Tfh) cell formation. In this study, we examined how age intrinsically affects Tfh cell formation in both mice and humans. We show increased formation of Tfh precursors (pre-Tfh) but no associated increase in germinal centre (GC)-Tfh cells in aged mice, suggesting age-driven promotion of only early Tfh cell differentiation. Mechanistically, we show that ageing alters TCR signalling which drives expression of the Notch-associated transcription factor, RBPJ. Genetic or chemical modulation of RBPJ or Notch rescues this age-associated early Tfh cell differentiation, and increased intrinsic Notch activity recapitulates this phenomenon in younger mice. Our data offer mechanistic insight into the age-induced changes in T-cell activation that affects the differentiation and ultimately the function of effector T cells.
Assuntos
Diferenciação Celular/imunologia , Proteína de Ligação a Sequências Sinal de Recombinação J de Imunoglobina/metabolismo , Receptores CXCR5/metabolismo , Células T Auxiliares Foliculares/imunologia , Envelhecimento , Animais , Feminino , Humanos , CamundongosRESUMO
Single-cell RNA sequencing (scRNA-seq) allows the identification, characterization, and quantification of cell types in a tissue. When focused on B and T cells of the adaptive immune system, scRNA-seq carries the potential to track the clonal lineage of each analyzed cell through the unique rearranged sequence of its antigen receptor (BCR or TCR, respectively) and link it to the functional state inferred from transcriptome analysis. Here we introduce FB5P-seq, a FACS-based 5'-end scRNA-seq method for cost-effective, integrative analysis of transcriptome and paired BCR or TCR repertoire in phenotypically defined B and T cell subsets. We describe in detail the experimental workflow and provide a robust bioinformatics pipeline for computing gene count matrices and reconstructing repertoire sequences from FB5P-seq data. We further present two applications of FB5P-seq for the analysis of human tonsil B cell subsets and peripheral blood antigen-specific CD4 T cells. We believe that our novel integrative scRNA-seq method will be a valuable option to study rare adaptive immune cell subsets in immunology research.
Assuntos
Subpopulações de Linfócitos/química , RNA-Seq/métodos , Receptores de Antígenos de Linfócitos B/genética , Receptores de Antígenos de Linfócitos T alfa-beta/genética , Análise de Célula Única/métodos , Transcriptoma , Regiões 5' não Traduzidas , Imunidade Adaptativa , Adulto , Linfócitos B/química , Linfócitos T CD4-Positivos/química , Linhagem da Célula , Biologia Computacional , Análise Custo-Benefício , Epitopos , Feminino , Citometria de Fluxo , Humanos , Masculino , Tonsila Palatina/citologia , RNA-Seq/economia , Análise de Célula Única/economia , Fluxo de TrabalhoRESUMO
[This corrects the article DOI: 10.3389/fimmu.2020.00216.].
RESUMO
[This corrects the article DOI: 10.3389/fimmu.2020.00216.].