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1.
J Immunol Methods ; 478: 112714, 2020 03.
Artículo en Inglés | MEDLINE | ID: mdl-31783023

RESUMEN

With the explosion of immuno-oncology and the approval of many immune checkpoint therapies by regulatory agencies in the last few years, understanding the tumor microenvironment (TME) in the context of patients' immune status has become essential. Among available immune profiling techniques, multiplex immunofluorescence (mIF) assays offer the unique advantage of preserving the architectural features of the tumor and revealing the spatial relationships between tumor cells and immune cells. A number of mIF and image analysis assays have been described for solid tumors but most are not sufficiently suitable in lymphoma, where the lack of clear tumor-stromal boundaries and high tumor density present significant challenges. Here we describe the development and optimization of a reliable workflow using Akoya Opal staining kits to label and analyze 6 markers per slide in diffuse large B-cell lymphoma (DLBCL) tissue sections. Five panels totaling 30 markers were developed to characterize infiltrating immune cells and relevant check-point proteins such as PD1, PD-L1, ICOS, SIRP-alpha and Lag3 on 70 DLBCL sections. Multiplexed sections were scanned using an Akoya multispectral scanner. An image analysis workflow using InForm and Matlab was developed to overcome challenges inherent to the DLBCL environment. Using the assays and workflows detailed here, we were able to quantify cell densities of subsets of infiltrating immune cells and observe their spatial patterns within the tumors. We highlight heterogeneous distribution of cytotoxic T cells across tumors with similar T cell density to underscores the importance of considering spatial context when studying the effects of immunological therapies in DLBCL.


Asunto(s)
Biomarcadores de Tumor/análisis , Técnica del Anticuerpo Fluorescente/métodos , Ensayos Analíticos de Alto Rendimiento/métodos , Linfoma de Células B Grandes Difuso/inmunología , Microambiente Tumoral/inmunología , Algoritmos , Biomarcadores de Tumor/inmunología , Biomarcadores de Tumor/metabolismo , Estudios de Factibilidad , Técnica del Anticuerpo Fluorescente/instrumentación , Colorantes Fluorescentes/química , Ensayos Analíticos de Alto Rendimiento/instrumentación , Humanos , Procesamiento de Imagen Asistido por Computador , Linfocitos Infiltrantes de Tumor/inmunología , Linfocitos Infiltrantes de Tumor/metabolismo , Linfoma de Células B Grandes Difuso/patología , Reproducibilidad de los Resultados , Programas Informáticos , Análisis Espacial , Coloración y Etiquetado , Linfocitos T Citotóxicos/inmunología , Linfocitos T Citotóxicos/metabolismo , Flujo de Trabajo
2.
Nat Struct Mol Biol ; 21(9): 803-9, 2014 Sep.
Artículo en Inglés | MEDLINE | ID: mdl-25108355

RESUMEN

The Cul4-Rbx1-DDB1-Cereblon E3 ubiquitin ligase complex is the target of thalidomide, lenalidomide and pomalidomide, therapeutically important drugs for multiple myeloma and other B-cell malignancies. These drugs directly bind Cereblon (CRBN) and promote the recruitment of substrates Ikaros (IKZF1) and Aiolos (IKZF3) to the E3 complex, thus leading to substrate ubiquitination and degradation. Here we present the crystal structure of human CRBN bound to DDB1 and the drug lenalidomide. A hydrophobic pocket in the thalidomide-binding domain (TBD) of CRBN accommodates the glutarimide moiety of lenalidomide, whereas the isoindolinone ring is exposed to solvent. We also solved the structures of the mouse TBD in the apo state and with thalidomide or pomalidomide. Site-directed mutagenesis in lentiviral-expression myeloma models showed that key drug-binding residues are critical for antiproliferative effects.


Asunto(s)
Inhibidores de la Angiogénesis/farmacología , Proteínas de Unión al ADN/metabolismo , Péptido Hidrolasas/metabolismo , Talidomida/análogos & derivados , Proteínas Adaptadoras Transductoras de Señales , Secuencia de Aminoácidos , Inhibidores de la Angiogénesis/química , Animales , Cristalografía por Rayos X , Proteínas de Unión al ADN/química , Humanos , Lenalidomida , Ratones , Simulación del Acoplamiento Molecular , Datos de Secuencia Molecular , Péptido Hidrolasas/química , Unión Proteica , Conformación Proteica , Estructura Terciaria de Proteína , Alineación de Secuencia , Talidomida/química , Talidomida/farmacología , Ubiquitina-Proteína Ligasas
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