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1.
Nature ; 618(7963): 102-109, 2023 Jun.
Artículo en Inglés | MEDLINE | ID: mdl-37225985

RESUMEN

Parasitic nematodes are a major threat to global food security, particularly as the world amasses 10 billion people amid limited arable land1-4. Most traditional nematicides have been banned owing to poor nematode selectivity, leaving farmers with inadequate means of pest control4-12. Here we use the model nematode Caenorhabditis elegans to identify a family of selective imidazothiazole nematicides, called selectivins, that undergo cytochrome-p450-mediated bioactivation in nematodes. At low parts-per-million concentrations, selectivins perform comparably well with commercial nematicides to control root infection by Meloidogyne incognita, a highly destructive plant-parasitic nematode. Tests against numerous phylogenetically diverse non-target systems demonstrate that selectivins are more nematode-selective than most marketed nematicides. Selectivins are first-in-class bioactivated nematode controls that provide efficacy and nematode selectivity.


Asunto(s)
Antinematodos , Tylenchoidea , Animales , Humanos , Antinematodos/química , Antinematodos/metabolismo , Antinematodos/farmacología , Caenorhabditis elegans/efectos de los fármacos , Caenorhabditis elegans/metabolismo , Tylenchoidea/efectos de los fármacos , Tylenchoidea/metabolismo , Tiazoles/química , Tiazoles/metabolismo , Tiazoles/farmacología , Sistema Enzimático del Citocromo P-450/efectos de los fármacos , Raíces de Plantas/efectos de los fármacos , Raíces de Plantas/parasitología , Enfermedades de las Plantas , Especificidad de la Especie , Especificidad por Sustrato
2.
Front Immunol ; 12: 748423, 2021.
Artículo en Inglés | MEDLINE | ID: mdl-34691060

RESUMEN

The Type I Interferon family of cytokines all act through the same cell surface receptor and induce phosphorylation of the same subset of response regulators of the STAT family. Despite their shared receptor, different Type I Interferons have different functions during immune response to infection. In particular, they differ in the potency of their induced anti-viral and anti-proliferative responses in target cells. It remains not fully understood how these functional differences can arise in a ligand-specific manner both at the level of STAT phosphorylation and the downstream function. We use a minimal computational model of Type I Interferon signaling, focusing on Interferon-α and Interferon-ß. We validate the model with quantitative experimental data to identify the key determinants of specificity and functional plasticity in Type I Interferon signaling. We investigate different mechanisms of signal discrimination, and how multiple system components such as binding affinity, receptor expression levels and their variability, receptor internalization, short-term negative feedback by SOCS1 protein, and differential receptor expression play together to ensure ligand specificity on the level of STAT phosphorylation. Based on these results, we propose phenomenological functional mappings from STAT activation to downstream anti-viral and anti-proliferative activity to investigate differential signal processing steps downstream of STAT phosphorylation. We find that the negative feedback by the protein USP18, which enhances differences in signaling between Interferons via ligand-dependent refractoriness, can give rise to functional plasticity in Interferon-α and Interferon-ß signaling, and explore other factors that control functional plasticity. Beyond Type I Interferon signaling, our results have a broad applicability to questions of signaling specificity and functional plasticity in signaling systems with multiple ligands acting through a bottleneck of a small number of shared receptors.


Asunto(s)
Interferón-alfa/fisiología , Interferón beta/fisiología , Modelos Inmunológicos , Receptor Cross-Talk/fisiología , Receptor de Interferón alfa y beta/fisiología , Transducción de Señal/fisiología , Animales , Simulación por Computador , Dimerización , Retroalimentación Fisiológica , Femenino , Humanos , Concentración 50 Inhibidora , Cinética , Ligandos , Ratones , Ratones Endogámicos C57BL , Unión Proteica , Mapeo de Interacción de Proteínas , Factores de Transcripción STAT/metabolismo , Bazo/citología , Proteína 1 Supresora de la Señalización de Citocinas/fisiología , Linfocitos T/inmunología , Ubiquitina Tiolesterasa
3.
ACS Nano ; 14(4): 4698-4715, 2020 04 28.
Artículo en Inglés | MEDLINE | ID: mdl-32255624

RESUMEN

There is a tremendous focus on the application of nanomaterials for the treatment of cancer. Nonprimate models are conventionally used to assess the biomedical utility of nanomaterials. However, these animals often lack an intact immunological background, and the tumors in these animals do not develop spontaneously. We introduce a preclinical woodchuck hepatitis virus-induced liver cancer model as a platform for nanoparticle (NP)-based in vivo experiments. Liver cancer development in these out-bred animals occurs as a result of persistent viral infection, mimicking human hepatitis B virus-induced HCC development. We highlight how this model addresses key gaps associated with other commonly used tumor models. We employed this model to (1) track organ biodistribution of gold NPs after intravenous administration, (2) examine their subcellular localization in the liver, (3) determine clearance kinetics, and (4) characterize the identity of hepatic macrophages that take up NPs using RNA-sequencing (RNA-seq). We found that the liver and spleen were the primary sites of NP accumulation. Subcellular analyses revealed accumulation of NPs in the lysosomes of CD14+ cells. Through RNA-seq, we uncovered that immunosuppressive macrophages within the woodchuck liver are the major cell type that take up injected NPs. The woodchuck-HCC model has the potential to be an invaluable tool to examine NP-based immune modifiers that promote host anti-tumor immunity.


Asunto(s)
Carcinoma Hepatocelular , Neoplasias Hepáticas , Nanopartículas , Animales , Modelos Animales de Enfermedad , Humanos , Hígado , Marmota , Distribución Tisular
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