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1.
J Immunol ; 203(10): 2577-2587, 2019 11 15.
Artigo em Inglês | MEDLINE | ID: mdl-31591149

RESUMO

The MHC class I Ag presentation pathway in melanoma cells has a well-established role in immune-mediated destruction of tumors. However, the clinical significance of the MHC class II Ag presentation pathway in melanoma cells is less clear. In Ag-presenting cells, IFN-γ-inducible lysosomal thiol reductase (GILT) is critical for MHC class II-restricted presentation of multiple melanoma Ags. Although not expressed in benign melanocytes of nevi, GILT and MHC class II expression is induced in malignant melanocytes in a portion of melanoma specimens. Analysis of The Cancer Genome Atlas cutaneous melanoma data set showed that high GILT mRNA expression was associated with improved overall survival. Expression of IFN-γ, TNF-α, and IL-1ß was positively associated with GILT expression in melanoma specimens. These cytokines were capable of inducing GILT expression in human melanoma cells in vitro. GILT protein expression in melanocytes was induced in halo nevi, which are nevi undergoing immune-mediated regression, and is consistent with the association of GILT expression with improved survival in melanoma. To explore potential mechanisms of GILT's association with patient outcome, we investigated pathways related to GILT function and expression. In contrast to healthy skin specimens, in which the MHC class II pathway was nearly uniformly expressed and intact, there was substantial variation in the MHC class II pathway in the The Cancer Genome Atlas melanoma specimens. Both an active and intact MHC class II pathway were associated with improved overall survival in melanoma. These studies support a role for GILT and the MHC class II Ag presentation pathway in melanoma outcome.


Assuntos
Apresentação de Antígeno/imunologia , Antígenos de Histocompatibilidade Classe II/metabolismo , Melanoma/imunologia , Melanoma/mortalidade , Oxirredutases atuantes sobre Doadores de Grupo Enxofre/genética , Oxirredutases atuantes sobre Doadores de Grupo Enxofre/metabolismo , Neoplasias Cutâneas/imunologia , Neoplasias Cutâneas/mortalidade , Adolescente , Linhagem Celular Tumoral , Feminino , Células HEK293 , Humanos , Interferon gama/metabolismo , Interferon gama/farmacologia , Masculino , Melanoma/patologia , RNA Mensageiro/genética , Reação em Cadeia da Polimerase em Tempo Real , Proteínas Recombinantes/farmacologia , Neoplasias Cutâneas/patologia , Taxa de Sobrevida , Adulto Jovem , Melanoma Maligno Cutâneo
2.
APL Bioeng ; 2(2): 026107, 2018 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-31069304

RESUMO

The field of computer modeling and simulation of biological systems is rapidly advancing, backed by significant progress in the fields of experimentation techniques, computer hardware, and programming software. The result of a simulation may be delivered in several ways, from numerical results, through graphs of the simulated run, to a visualization of the simulation. The vision of an in-silico experiment mimicking an in-vitro or in-vivo experiment as it is viewed under a microscope is appealing but technically demanding and computationally intensive. Here, we report "Cell Studio," a generic, hybrid platform to simulate an immune microenvironment with biological and biophysical rules. We use game engines-generic programs for game creation which offer ready-made assets and tools-to create a visualized, interactive 3D simulation. We also utilize a scalable architecture that delegates the computational load to a server. The user may view the simulation, move the "camera" around, stop, fast-forward, and rewind it and inject soluble molecules into the extracellular medium at any point in time. During simulation, graphs are created in real time for a broad view of system-wide processes. The model is parametrized using a user-friendly Graphical User Interface (GUI). We show a simple validation simulation and compare its results with those from a "classical" simulation, validated against a "wet" experiment. We believe that interactive, real-time 3D visualization may aid in generating insights from the model and encourage intuition about the immunological scenario.

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