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1.
PLoS Biol ; 20(1): e3001532, 2022 01.
Artigo em Inglês | MEDLINE | ID: mdl-35085231

RESUMO

Chronic inflammation is often associated with the development of tissue fibrosis, but how mesenchymal cell responses dictate pathological fibrosis versus resolution and healing remains unclear. Defining stromal heterogeneity and identifying molecular circuits driving extracellular matrix deposition and remodeling stands to illuminate the relationship between inflammation, fibrosis, and healing. We performed single-cell RNA-sequencing of colon-derived stromal cells and identified distinct classes of fibroblasts with gene signatures that are differentially regulated by chronic inflammation, including IL-11-producing inflammatory fibroblasts. We further identify a transcriptional program associated with trans-differentiation of mucosa-associated fibroblasts and define a functional gene signature associated with matrix deposition and remodeling in the inflamed colon. Our analysis supports a critical role for the metalloprotease Adamdec1 at the interface between tissue remodeling and healing during colitis, demonstrating its requirement for colon epithelial integrity. These findings provide mechanistic insight into how inflammation perturbs stromal cell behaviors to drive fibroblastic responses controlling mucosal matrix remodeling and healing.


Assuntos
Proteínas ADAM/imunologia , Colite/imunologia , Matriz Extracelular/metabolismo , Fibroblastos/imunologia , Mucosa Intestinal/imunologia , Células-Tronco Mesenquimais/imunologia , Proteínas ADAM/deficiência , Proteínas ADAM/genética , Animais , Diferenciação Celular , Colite/induzido quimicamente , Colite/genética , Colite/patologia , Colo/imunologia , Colo/patologia , Matriz Extracelular/imunologia , Fibroblastos/patologia , Fibrose , Regulação da Expressão Gênica , Humanos , Inflamação , Interleucina-11/genética , Interleucina-11/imunologia , Mucosa Intestinal/patologia , Masculino , Células-Tronco Mesenquimais/patologia , Camundongos , Camundongos Endogâmicos C57BL , Análise de Sequência de RNA , Análise de Célula Única , Dodecilsulfato de Sódio/administração & dosagem , Transcrição Gênica , Transcriptoma , Cicatrização/genética , Cicatrização/imunologia
2.
Proc Natl Acad Sci U S A ; 113(8): E1016-25, 2016 Feb 23.
Artigo em Inglês | MEDLINE | ID: mdl-26862168

RESUMO

Primary T-cell acute lymphoblastic leukemia (T-ALL) cells require stromal-derived signals to survive. Although many studies have identified cell-intrinsic alterations in signaling pathways that promote T-ALL growth, the identity of endogenous stromal cells and their associated signals in the tumor microenvironment that support T-ALL remains unknown. By examining the thymic tumor microenvironments in multiple murine T-ALL models and primary patient samples, we discovered the emergence of prominent epithelial-free regions, enriched for proliferating tumor cells and dendritic cells (DCs). Systematic evaluation of the functional capacity of tumor-associated stromal cells revealed that myeloid cells, primarily DCs, are necessary and sufficient to support T-ALL survival ex vivo. DCs support T-ALL growth both in primary thymic tumors and at secondary tumor sites. To identify a molecular mechanism by which DCs support T-ALL growth, we first performed gene expression profiling, which revealed up-regulation of platelet-derived growth factor receptor beta (Pdgfrb) and insulin-like growth factor I receptor (Igf1r) on T-ALL cells, with concomitant expression of their ligands by tumor-associated DCs. Both Pdgfrb and Igf1r were activated in ex vivo T-ALL cells, and coculture with tumor-associated, but not normal thymic DCs, sustained IGF1R activation. Furthermore, IGF1R signaling was necessary for DC-mediated T-ALL survival. Collectively, these studies provide the first evidence that endogenous tumor-associated DCs supply signals driving T-ALL growth, and implicate tumor-associated DCs and their mitogenic signals as auspicious therapeutic targets.


Assuntos
Células Dendríticas/imunologia , Proteínas de Neoplasias/imunologia , Leucemia-Linfoma Linfoblástico de Células T Precursoras/imunologia , Receptores de Somatomedina/imunologia , Transdução de Sinais/imunologia , Microambiente Tumoral/imunologia , Animais , Linhagem Celular Tumoral , Sobrevivência Celular , Células Dendríticas/patologia , Feminino , Humanos , Masculino , Camundongos , Proteínas de Neoplasias/genética , Leucemia-Linfoma Linfoblástico de Células T Precursoras/genética , Leucemia-Linfoma Linfoblástico de Células T Precursoras/patologia , Receptor IGF Tipo 1 , Receptor beta de Fator de Crescimento Derivado de Plaquetas/genética , Receptor beta de Fator de Crescimento Derivado de Plaquetas/imunologia , Receptores de Somatomedina/genética , Transdução de Sinais/genética , Microambiente Tumoral/genética
3.
Nat Med ; 24(11): 1762-1772, 2018 11.
Artigo em Inglês | MEDLINE | ID: mdl-30349087

RESUMO

Identifying immunodominant T cell epitopes remains a significant challenge in the context of infectious disease, autoimmunity, and immuno-oncology. To address the challenge of antigen discovery, we developed a quantitative proteomic approach that enabled unbiased identification of major histocompatibility complex class II (MHCII)-associated peptide epitopes and biochemical features of antigenicity. On the basis of these data, we trained a deep neural network model for genome-scale predictions of immunodominant MHCII-restricted epitopes. We named this model bacteria originated T cell antigen (BOTA) predictor. In validation studies, BOTA accurately predicted novel CD4 T cell epitopes derived from the model pathogen Listeria monocytogenes and the commensal microorganism Muribaculum intestinale. To conclusively define immunodominant T cell epitopes predicted by BOTA, we developed a high-throughput approach to screen DNA-encoded peptide-MHCII libraries for functional recognition by T cell receptors identified from single-cell RNA sequencing. Collectively, these studies provide a framework for defining the immunodominance landscape across a broad range of immune pathologies.


Assuntos
Apresentação de Antígeno/imunologia , Antígenos de Histocompatibilidade Classe II/genética , Epitopos Imunodominantes/genética , Proteômica , Sequência de Aminoácidos/genética , Apresentação de Antígeno/genética , Linfócitos T CD4-Positivos/imunologia , Epitopos de Linfócito T/genética , Epitopos de Linfócito T/imunologia , Sequenciamento de Nucleotídeos em Larga Escala , Antígenos de Histocompatibilidade Classe II/imunologia , Humanos , Epitopos Imunodominantes/imunologia , Listeria monocytogenes/genética , Listeria monocytogenes/imunologia , Listeria monocytogenes/patogenicidade , Receptores de Antígenos de Linfócitos T/genética , Receptores de Antígenos de Linfócitos T/imunologia , Análise de Célula Única
4.
Cell Rep ; 24(4): 838-850, 2018 07 24.
Artigo em Inglês | MEDLINE | ID: mdl-30044981

RESUMO

Phagocyte microbiocidal mechanisms and inflammatory cytokine production are temporally coordinated, although their respective interdependencies remain incompletely understood. Here, we identify a nitric-oxide-mediated antioxidant response as a negative feedback regulator of inflammatory cytokine production in phagocytes. In this context, Keap1 functions as a cellular redox sensor that responds to elevated reactive nitrogen intermediates by eliciting an adaptive transcriptional program controlled by Nrf2 and comprised of antioxidant genes, including Prdx5. We demonstrate that engaging the antioxidant response is sufficient to suppress Toll-like receptor (TLR)-induced cytokine production in dendritic cells and that Prdx5 is required for attenuation of inflammatory cytokine production. Collectively, these findings delineate the reciprocal regulation of inflammation and cellular redox systems in myeloid cells.


Assuntos
Óxido Nítrico/metabolismo , Peroxirredoxinas/metabolismo , Fagócitos/metabolismo , Animais , Células da Medula Óssea/metabolismo , Citocinas/biossíntese , Retroalimentação Fisiológica , Células HEK293 , Humanos , Camundongos , Camundongos Endogâmicos C57BL , Óxido Nítrico/biossíntese , Transdução de Sinais
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