A comprehensive collection of systems biology data characterizing the host response to viral infection
Public Deposited- Creator
- Aevermann, Brian D.
- Pickett, Brett E.
- Kumar, Sanjeev
- Klem, Edward B.
- Agnihothram, Sudhakar
- Askovich, Peter S.
- Bankhead, Armand
- Bolles, Meagen
- Carter, Victoria
- Chang, Jean
- Clauss, Therese R.W.
- Dash, Pradyot
- Diercks, Alan H.
- Eisfeld, Amie J.
- Ellis, Amy
- Fan, Shufang
- Ferris, Martin T.
- Gralinski, Lisa E.
- Green, Richard R.
- Gritsenko, Marina A.
- Hatta, Masato
- Heegel, Robert A.
- Jacobs, Jon M.
- Jeng, Sophia
- Josset, Laurence
- Kaiser, Shari M.
- Kelly, Sara
- Law, G. Lynn
- Li, Chengjun
- Li, Jiangning
- Long, Casey
- Luna, Maria L.
- Abstract
- The Systems Biology for Infectious Diseases Research program was established by the U.S. National Institute of Allergy and Infectious Diseases to investigate host-pathogen interactions at a systems level. This program generated 47 transcriptomic and proteomic datasets from 30 studies that investigate in vivo and in vitro host responses to viral infections. Human pathogens in the Orthomyxoviridae and Coronaviridae families, especially pandemic H1N1 and avian H5N1 influenza A viruses and severe acute respiratory syndrome coronavirus (SARS-CoV), were investigated. Study validation was demonstrated via experimental quality control measures and meta-analysis of independent experiments performed under similar conditions. Primary assay results are archived at the GEO and PeptideAtlas public repositories, while processed statistical results together with standardized metadata are publically available at the Influenza Research Database (www.fludb.org) and the Virus Pathogen Resource (www.viprbrc.org). By comparing data from mutant versus wild-type virus and host strains, RNA versus protein differential expression, and infection with genetically similar strains, these data can be used to further investigate genetic and physiological determinants of host responses to viral infection.
- Date of publication
- 2014
- Keyword
- DOI
- Identifier
- PMCID: PMC4410982
- Onescience id: cd2de0dec3734bcfad5623cdb1c0bddbf385d565
- PMID: 25977790
- Publisher DOI: https://doi.org/10.1038/sdata.2014.33
- Resource type
- Article
- Rights statement
- In Copyright
- Journal title
- Scientific Data
- Journal volume
- 1
- Language
- English
- ISSN
- 2052-4463
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