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1.
Nat Immunol ; 24(3): 501-515, 2023 03.
Artículo en Inglés | MEDLINE | ID: mdl-36797499

RESUMEN

Blocking pyrimidine de novo synthesis by inhibiting dihydroorotate dehydrogenase is used to treat autoimmunity and prevent expansion of rapidly dividing cell populations including activated T cells. Here we show memory T cell precursors are resistant to pyrimidine starvation. Although the treatment effectively blocked effector T cells, the number, function and transcriptional profile of memory T cells and their precursors were unaffected. This effect occurred in a narrow time window in the early T cell expansion phase when developing effector, but not memory precursor, T cells are vulnerable to pyrimidine starvation. This vulnerability stems from a higher proliferative rate of early effector T cells as well as lower pyrimidine synthesis capacity when compared with memory precursors. This differential sensitivity is a drug-targetable checkpoint that efficiently diminishes effector T cells without affecting the memory compartment. This cell fate checkpoint might therefore lead to new methods to safely manipulate effector T cell responses.


Asunto(s)
Pirimidinas , Ciclo Celular , Diferenciación Celular
2.
Trends Immunol ; 44(7): 519-529, 2023 07.
Artículo en Inglés | MEDLINE | ID: mdl-37277233

RESUMEN

In acute immune responses to infection, memory T cells develop that can spawn recall responses. This process has not been observable directly in vivo. Here we highlight the utility of mathematical inference to derive quantitatively testable models of mammalian CD8+ T cell memory development from complex experimental data. Previous inference studies suggested that precursors of memory T cells arise early during the immune response. Recent work has both validated a crucial prediction of this T cell diversification model and refined the model. While multiple developmental routes to distinct memory subsets might exist, a branch point occurs early in proliferating T cell blasts, from which separate differentiation pathways emerge for slowly dividing precursors of re-expandable memory cells and rapidly dividing effectors.


Asunto(s)
Linfocitos T CD8-positivos , Células T de Memoria , Humanos , Animales , Diferenciación Celular , Activación de Linfocitos , Memoria Inmunológica , Subgrupos de Linfocitos T , Mamíferos
3.
Mol Syst Biol ; 16(7): e8955, 2020 07.
Artículo en Inglés | MEDLINE | ID: mdl-32696599

RESUMEN

Tightly interlinked feedback regulators control the dynamics of intracellular responses elicited by the activation of signal transduction pathways. Interferon alpha (IFNα) orchestrates antiviral responses in hepatocytes, yet mechanisms that define pathway sensitization in response to prestimulation with different IFNα doses remained unresolved. We establish, based on quantitative measurements obtained for the hepatoma cell line Huh7.5, an ordinary differential equation model for IFNα signal transduction that comprises the feedback regulators STAT1, STAT2, IRF9, USP18, SOCS1, SOCS3, and IRF2. The model-based analysis shows that, mediated by the signaling proteins STAT2 and IRF9, prestimulation with a low IFNα dose hypersensitizes the pathway. In contrast, prestimulation with a high dose of IFNα leads to a dose-dependent desensitization, mediated by the negative regulators USP18 and SOCS1 that act at the receptor. The analysis of basal protein abundance in primary human hepatocytes reveals high heterogeneity in patient-specific amounts of STAT1, STAT2, IRF9, and USP18. The mathematical modeling approach shows that the basal amount of USP18 determines patient-specific pathway desensitization, while the abundance of STAT2 predicts the patient-specific IFNα signal response.


Asunto(s)
Retroalimentación Fisiológica/efectos de los fármacos , Hepatocitos/metabolismo , Interferón-alfa/farmacología , Factor de Transcripción STAT1/metabolismo , Factor de Transcripción STAT2/metabolismo , Transducción de Señal/efectos de los fármacos , Línea Celular Tumoral , Regulación de la Expresión Génica/efectos de los fármacos , Regulación de la Expresión Génica/genética , Hepatocitos/efectos de los fármacos , Humanos , Factor 2 Regulador del Interferón/genética , Factor 2 Regulador del Interferón/metabolismo , Subunidad gamma del Factor 3 de Genes Estimulados por el Interferón/genética , Subunidad gamma del Factor 3 de Genes Estimulados por el Interferón/metabolismo , Modelos Teóricos , ARN Interferente Pequeño , Factor de Transcripción STAT1/genética , Factor de Transcripción STAT2/genética , Transducción de Señal/genética , Programas Informáticos , Proteína 1 Supresora de la Señalización de Citocinas/genética , Proteína 1 Supresora de la Señalización de Citocinas/metabolismo , Proteína 3 Supresora de la Señalización de Citocinas/genética , Proteína 3 Supresora de la Señalización de Citocinas/metabolismo , Ubiquitina Tiolesterasa/genética , Ubiquitina Tiolesterasa/metabolismo
4.
Cells Dev ; 175: 203861, 2023 09.
Artículo en Inglés | MEDLINE | ID: mdl-37286105

RESUMEN

Hematopoietic stem cells (HSCs) and multipotent progenitors (MPPs) generate the immune system in development, and contribute to its maintenance under steady-state conditions. How stem and progenitor cells respond to increased demand for mature cells upon injury is a fundamental question of stem cell biology. Several studies of murine hematopoiesis have reported increased proliferation of HSCs in situ when exposed to inflammatory stimuli, which has been taken as a proxy for increased HSC differentiation. Such surplus generation of HSC may fuel enhanced HSC differentiation or, alternatively, maintain HSC cellularity in the face of increased cell death without enhanced HSC differentiation. This key question calls for direct measurements of HSC differentiation in their natural niches in vivo. Here, we review work that quantifies native HSC differentiation by fate mapping and mathematical inference. Recent differentiation tracing studies show that HSC do not increase their differentiation rate upon a wide range of challenges, including systemic bacterial infection (sepsis), blood loss, and transient or persistent ablation of specific mature immune cells. By contrast, MPPs differentiate more rapidly in response to systemic infection to accelerate the production of myeloid cells. These new in vivo data identify MPPs as a major source of hematopoietic regeneration; HSCs might not contribute to regeneration while remaining protected.


Asunto(s)
Hematopoyesis , Células Madre Hematopoyéticas , Animales , Ratones , Células Madre Hematopoyéticas/metabolismo , Diferenciación Celular , Sistema Inmunológico
5.
Cell Stem Cell ; 30(2): 207-218.e7, 2023 02 02.
Artículo en Inglés | MEDLINE | ID: mdl-36652946

RESUMEN

In response to infections and stress, hematopoiesis rapidly enhances blood and immune cell production. The stage within the hematopoietic hierarchy that accounts for this regeneration is unclear under natural conditions in vivo. We analyzed by differentiation tracing, using inducible Tie2- or Flt3-driven Cre recombinase, the roles of mouse hematopoietic stem cells (HSCs) and multipotent progenitors (MPPs). During polymicrobial sepsis, HSCs responded transcriptionally and increased their proliferation and cell death, yet HSC differentiation rates remained at steady-state levels. HSC differentiation was also independent from the ablation of various cellular compartments-bleeding, the antibody-mediated ablation of granulocytes or B lymphocytes, and genetic lymphocyte deficiency. By marked contrast, the fate mapping of MPPs in polymicrobial sepsis identified these cells as a major source for accelerated myeloid cell production. The regulation of blood and immune cell homeostasis by progenitors rather than stem cells may ensure a rapid response while preserving the integrity of the HSC population.


Asunto(s)
Células Madre Hematopoyéticas , Sepsis , Animales , Ratones , Diferenciación Celular/genética , Linaje de la Célula , Hematopoyesis/fisiología , Células Madre Hematopoyéticas/metabolismo , Integrasas/metabolismo , Células Madre Multipotentes , Sepsis/metabolismo , Tirosina Quinasa 3 Similar a fms/metabolismo , Receptor TIE-2/metabolismo
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