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1.
BMC Infect Dis ; 11: 34, 2011 Jan 31.
Artículo en Inglés | MEDLINE | ID: mdl-21281507

RESUMEN

BACKGROUND: Dengue virus infection is a public health threat to hundreds of millions of individuals in the tropical regions of the globe. Although Dengue infection usually manifests itself in its mildest, though often debilitating clinical form, dengue fever, life-threatening complications commonly arise in the form of hemorrhagic shock and encephalitis. The etiological basis for the virus-induced pathology in general, and the different clinical manifestations in particular, are not well understood. We reasoned that a detailed knowledge of the global biological processes affected by virus entry into a cell might help shed new light on this long-standing problem. METHODS: A bacterial two-hybrid screen using DENV2 structural proteins as bait was performed, and the results were used to feed a manually curated, global dengue-human protein interaction network. Gene ontology and pathway enrichment, along with network topology and microarray meta-analysis, were used to generate hypothesis regarding dengue disease biology. RESULTS: Combining bioinformatic tools with two-hybrid technology, we screened human cDNA libraries to catalogue proteins physically interacting with the DENV2 virus structural proteins, Env, cap and PrM. We identified 31 interacting human proteins representing distinct biological processes that are closely related to the major clinical diagnostic feature of dengue infection: haemostatic imbalance. In addition, we found dengue-binding human proteins involved with additional key aspects, previously described as fundamental for virus entry into cells and the innate immune response to infection. Construction of a DENV2-human global protein interaction network revealed interesting biological properties suggested by simple network topology analysis. CONCLUSIONS: Our experimental strategy revealed that dengue structural proteins interact with human protein targets involved in the maintenance of blood coagulation and innate anti-viral response processes, and predicts that the interaction of dengue proteins with a proposed human protein interaction network produces a modified biological outcome that may be behind the hallmark pathologies of dengue infection.


Asunto(s)
Coagulación Sanguínea , Virus del Dengue/inmunología , Dengue/inmunología , Dengue/virología , Proteínas Estructurales Virales/inmunología , Dengue/sangre , Dengue/metabolismo , Virus del Dengue/genética , Virus del Dengue/metabolismo , Humanos , Inmunidad Innata , Unión Proteica , Mapeo de Interacción de Proteínas , Proteínas Estructurales Virales/genética , Proteínas Estructurales Virales/metabolismo
2.
Clin Immunol ; 129(2): 195-201, 2008 Nov.
Artículo en Inglés | MEDLINE | ID: mdl-18801706

RESUMEN

Whole genome oligo-microarrays were used to characterize age-dependent and tissue-specific changes in gene expression in pancreatic lymph nodes, spleen, and peripheral blood cells, obtained from up to 8 individual NOD mice at 6 different time points (1.5 to 20 weeks of age), compared to NOD.B10 tissue controls. "Milestone Genes" are genes whose expression was significantly changed (approximately 3 fold) as the result of splicing or changes in transcript level. Milestone Genes were identified among genes within type one diabetes (T1D) susceptibility regions (Idd). Milestone Genes showing uniform patterns of changes in expression at various time points were identified, but the patterns of distribution and kinetics of expression were unique to each tissue. Potential T1D candidate genes were identified among Milestone Genes within Idd regions and/or hierarchical clusters. These studies identified tissue- and age-specific changes in gene expression that may play an important role in the inductive or destructive events of T1D.


Asunto(s)
Diabetes Mellitus Tipo 1/genética , Perfilación de la Expresión Génica , Factores de Edad , Animales , Femenino , Ratones , Ratones Endogámicos NOD , Familia de Multigenes , Especificidad de Órganos
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