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HIV-1 host interactions: integration of large-scale datasets
HIV-1 replication and viral pathogenesis are dependent on numerous host factors. A series of recent papers apply genome-wide and large-scale approaches to map host-virus interactions and to identify host proteins capable of restricting (that is, controlling) the virus. Strategies include genome-wide...
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Formato: | Texto |
Lenguaje: | English |
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Biology Reports Ltd
2009
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2948256/ https://www.ncbi.nlm.nih.gov/pubmed/20948616 http://dx.doi.org/10.3410/B1-71 |
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author | Telenti, Amalio |
author_facet | Telenti, Amalio |
author_sort | Telenti, Amalio |
collection | PubMed |
description | HIV-1 replication and viral pathogenesis are dependent on numerous host factors. A series of recent papers apply genome-wide and large-scale approaches to map host-virus interactions and to identify host proteins capable of restricting (that is, controlling) the virus. Strategies include genome-wide association studies, small interfering RNA screens, genome-wide transcriptome profiling, proteome studies, and the assessment of the role of host-encoded microRNAs in infection. The various layers of large-scale data are brought together through meta-analytical procedures. |
format | Text |
id | pubmed-2948256 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Biology Reports Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-29482562010-10-14 HIV-1 host interactions: integration of large-scale datasets Telenti, Amalio F1000 Biol Rep Review Article HIV-1 replication and viral pathogenesis are dependent on numerous host factors. A series of recent papers apply genome-wide and large-scale approaches to map host-virus interactions and to identify host proteins capable of restricting (that is, controlling) the virus. Strategies include genome-wide association studies, small interfering RNA screens, genome-wide transcriptome profiling, proteome studies, and the assessment of the role of host-encoded microRNAs in infection. The various layers of large-scale data are brought together through meta-analytical procedures. Biology Reports Ltd 2009-09-28 /pmc/articles/PMC2948256/ /pubmed/20948616 http://dx.doi.org/10.3410/B1-71 Text en © 2009 Biology Reports Ltd http://creativecommons.org/licenses/by-nc/3.0/legalcode This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. You may not use this work for commercial purposes |
spellingShingle | Review Article Telenti, Amalio HIV-1 host interactions: integration of large-scale datasets |
title | HIV-1 host interactions: integration of large-scale datasets |
title_full | HIV-1 host interactions: integration of large-scale datasets |
title_fullStr | HIV-1 host interactions: integration of large-scale datasets |
title_full_unstemmed | HIV-1 host interactions: integration of large-scale datasets |
title_short | HIV-1 host interactions: integration of large-scale datasets |
title_sort | hiv-1 host interactions: integration of large-scale datasets |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2948256/ https://www.ncbi.nlm.nih.gov/pubmed/20948616 http://dx.doi.org/10.3410/B1-71 |
work_keys_str_mv | AT telentiamalio hiv1hostinteractionsintegrationoflargescaledatasets |