Title |
Influenza A Virus Induces Autophagosomal Targeting of Ribosomal Proteins*
|
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Published in |
Molecular and Cellular Proteomics, July 2018
|
DOI | 10.1074/mcp.ra117.000364 |
Pubmed ID | |
Authors |
Andrea C. Becker, Monique Gannagé, Sebastian Giese, Zehan Hu, Shadi Abou-Eid, Carole Roubaty, Petra Paul, Lea Bühler, Christine Gretzmeier, Veronica I. Dumit, Stéphanie Kaeser-Pebernard, Martin Schwemmle, Christian Münz, Jörn Dengjel |
Abstract |
Seasonal epidemics of influenza A virus are a major cause of severe illness and are of high socio-economic relevance. For the design of effective anti-viral therapies, a detailed knowledge of pathways perturbed by virus infection is critical. We performed comprehensive expression and organellar proteomics experiments to study the cellular consequences of influenza A virus infection using three human epithelial cell lines derived from human lung carcinomas: A549, Calu-1 and NCI-H1299. As a common response, the type I interferon pathway was upregulated upon infection. Interestingly, influenza A virus infection led to numerous cell line-specific responses affecting both protein abundance as well as subcellular localization. In A549 cells, the vesicular compartment appeared expanded after virus infection. In particular, the composition of autophagsomes was altered by targeting of ribosomes, viral mRNA and proteins to these double membrane vesicles. Thus, autophagy may support viral protein translation by promoting the clustering of the respective molecular machinery in autophagosomes in a cell line-dependent manner. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 2 | 67% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 3 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 34 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 7 | 21% |
Student > Ph. D. Student | 5 | 15% |
Other | 3 | 9% |
Student > Bachelor | 2 | 6% |
Professor | 2 | 6% |
Other | 5 | 15% |
Unknown | 10 | 29% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 7 | 21% |
Biochemistry, Genetics and Molecular Biology | 7 | 21% |
Immunology and Microbiology | 4 | 12% |
Veterinary Science and Veterinary Medicine | 2 | 6% |
Medicine and Dentistry | 1 | 3% |
Other | 0 | 0% |
Unknown | 13 | 38% |