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1.
Nature ; 455(7210): 242-5, 2008 Sep 11.
Artículo en Inglés | MEDLINE | ID: mdl-18690214

RESUMEN

West Nile virus (WNV), and related flaviviruses such as tick-borne encephalitis, Japanese encephalitis, yellow fever and dengue viruses, constitute a significant global human health problem. However, our understanding of the molecular interaction of such flaviviruses with mammalian host cells is limited. WNV encodes only 10 proteins, implying that it may use many cellular proteins for infection. WNV enters the cytoplasm through pH-dependent endocytosis, undergoes cycles of translation and replication, assembles progeny virions in association with endoplasmic reticulum, and exits along the secretory pathway. RNA interference (RNAi) presents a powerful forward genetics approach to dissect virus-host cell interactions. Here we report the identification of 305 host proteins that affect WNV infection, using a human-genome-wide RNAi screen. Functional clustering of the genes revealed a complex dependence of this virus on host cell physiology, requiring a wide variety of molecules and cellular pathways for successful infection. We further demonstrate a requirement for the ubiquitin ligase CBLL1 in WNV internalization, a post-entry role for the endoplasmic-reticulum-associated degradation pathway in viral infection, and the monocarboxylic acid transporter MCT4 as a viral replication resistance factor. By extending this study to dengue virus, we show that flaviviruses have both overlapping and unique interaction strategies with host cells. This study provides a comprehensive molecular portrait of WNV-human cell interactions that forms a model for understanding single plus-stranded RNA virus infection, and reveals potential antiviral targets.


Asunto(s)
Interferencia de ARN , Fiebre del Nilo Occidental/genética , Fiebre del Nilo Occidental/virología , Virus del Nilo Occidental/fisiología , Biología Computacional , Virus del Dengue/fisiología , Retículo Endoplásmico/metabolismo , Perfilación de la Expresión Génica , Genoma Humano , VIH , Células HeLa , Humanos , Inmunidad/genética , Transportadores de Ácidos Monocarboxílicos/deficiencia , Transportadores de Ácidos Monocarboxílicos/genética , Transportadores de Ácidos Monocarboxílicos/metabolismo , Proteínas Musculares/deficiencia , Proteínas Musculares/genética , Proteínas Musculares/metabolismo , Unión Proteica , Ubiquitina-Proteína Ligasas/deficiencia , Ubiquitina-Proteína Ligasas/genética , Ubiquitina-Proteína Ligasas/metabolismo , Ubiquitinación/genética , Vesiculovirus , Replicación Viral
2.
PLoS One ; 4(10): e7339, 2009 Oct 05.
Artículo en Inglés | MEDLINE | ID: mdl-19802393

RESUMEN

Kinesin-5 (also known as Eg5, KSP and Kif11) is required for assembly of a bipolar mitotic spindle. Small molecule inhibitors of Kinesin-5, developed as potential anti-cancer drugs, arrest cell in mitosis and promote apoptosis of cancer cells. We performed a genome-wide siRNA screen for enhancers and suppressors of a Kinesin-5 inhibitor in human cells to elucidate cellular responses, and thus identify factors that might predict drug sensitivity in cancers. Because the drug's actions play out over several days, we developed an intermittent imaging screen. Live HeLa cells expressing GFP-tagged histone H2B were imaged at 0, 24 and 48 hours after drug addition, and images were analyzed using open-source software that incorporates machine learning. This screen effectively identified siRNAs that caused increased mitotic arrest at low drug concentrations (enhancers), and vice versa (suppressors), and we report siRNAs that caused both effects. We then classified the effect of siRNAs for 15 genes where 3 or 4 out of 4 siRNA oligos tested were suppressors as assessed by time lapse imaging, and by testing for suppression of mitotic arrest in taxol and nocodazole. This identified 4 phenotypic classes of drug suppressors, which included known and novel genes. Our methodology should be applicable to other screens, and the suppressor and enhancer genes we identified may open new lines of research into mitosis and checkpoint biology.


Asunto(s)
Genoma Humano , Cinesinas/antagonistas & inhibidores , Cinesinas/metabolismo , ARN Interferente Pequeño/metabolismo , Proteínas Fluorescentes Verdes/metabolismo , Células HeLa , Humanos , Procesamiento de Imagen Asistido por Computador , Modelos Biológicos , Modelos Estadísticos , Neoplasias/metabolismo , Nocodazol/farmacología , Paclitaxel/farmacología , Huso Acromático/efectos de los fármacos , Factores de Tiempo , Moduladores de Tubulina/farmacología
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