Title |
Host-pathogen interactome mapping for HTLV-1 and -2 retroviruses
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Published in |
Retrovirology, March 2012
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DOI | 10.1186/1742-4690-9-26 |
Pubmed ID | |
Authors |
Nicolas Simonis, Jean-François Rual, Irma Lemmens, Mathieu Boxus, Tomoko Hirozane-Kishikawa, Jean-Stéphane Gatot, Amélie Dricot, Tong Hao, Didier Vertommen, Sébastien Legros, Sarah Daakour, Niels Klitgord, Maud Martin, Jean-François Willaert, Franck Dequiedt, Vincent Navratil, Michael E Cusick, Arsène Burny, Carine Van Lint, David E Hill, Jan Tavernier, Richard Kettmann, Marc Vidal, Jean-Claude Twizere |
Abstract |
Human T-cell leukemia virus type 1 (HTLV-1) and type 2 both target T lymphocytes, yet induce radically different phenotypic outcomes. HTLV-1 is a causative agent of Adult T-cell leukemia (ATL), whereas HTLV-2, highly similar to HTLV-1, causes no known overt disease. HTLV gene products are engaged in a dynamic struggle of activating and antagonistic interactions with host cells. Investigations focused on one or a few genes have identified several human factors interacting with HTLV viral proteins. Most of the available interaction data concern the highly investigated HTLV-1 Tax protein. Identifying shared and distinct host-pathogen protein interaction profiles for these two viruses would enlighten how they exploit distinctive or common strategies to subvert cellular pathways toward disease progression. |
X Demographics
Geographical breakdown
Country | Count | As % |
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France | 1 | 25% |
United States | 1 | 25% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 3 | 75% |
Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 2% |
France | 1 | 1% |
Brazil | 1 | 1% |
Austria | 1 | 1% |
Belgium | 1 | 1% |
United States | 1 | 1% |
Unknown | 75 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 19 | 23% |
Student > Ph. D. Student | 13 | 16% |
Student > Master | 8 | 10% |
Professor | 6 | 7% |
Student > Bachelor | 6 | 7% |
Other | 17 | 21% |
Unknown | 13 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 34 | 41% |
Biochemistry, Genetics and Molecular Biology | 14 | 17% |
Medicine and Dentistry | 9 | 11% |
Immunology and Microbiology | 5 | 6% |
Computer Science | 2 | 2% |
Other | 2 | 2% |
Unknown | 16 | 20% |