Building a predictive model for influenza pathogenesis will require reiterative cycles of data generation and computational analysis. Given the role of large-scale datasets in this effort, effective data management and resource dissemination is critical for not only the success of the program, but for the broader scientific community to fully realize and exploit resources generated by this Center. Towards that end, the Data Management and Resource Dissemination Core will act as a central repository for all data and resources generated by the Center, and ensure that these materials are readily accessible by not only other scientists in the program, but also the broader scientific community. The Core will adapt practices, protocols, approaches, and software that have been previously and successfully utilized to integrate and disseminate large-scale datasets within the context of a large program project. Internally, we will focus on project tracking, data consolidation and integration, quality control, and managing a centralized database that is accessible and user-friendly. In addition, the core will work to integrate publically available data, and make these integrated large-scale datasets, and associated resources, available to the scientific community to enable the exploration of novel hypothesis based on the information generated by the program.

Public Health Relevance

This Fluomics project is centered on the acquisition, processing, and analysis of systems-level datasets ('BIG DATA') to drive predictive models of pathogenesis. Consolidation, integration, and quality control of these large datasets, therefore, is critical to a successful outcome of this project. The Data Management and Dissemination core will leverage experience, software, and standard operating procedures from previous projects involving similar management of datasets to ensure that results generated in the program are accessible to all members of the project, as well as the broader scientific community.

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Research Program--Cooperative Agreements (U19)
Project #
5U19AI106754-02
Application #
8689910
Study Section
Special Emphasis Panel (ZAI1-EC-M)
Project Start
Project End
Budget Start
2014-06-01
Budget End
2015-05-31
Support Year
2
Fiscal Year
2014
Total Cost
$199,536
Indirect Cost
$21,324
Name
Icahn School of Medicine at Mount Sinai
Department
Type
DUNS #
078861598
City
New York
State
NY
Country
United States
Zip Code
10029
Pohl, Marie O; von Recum-Knepper, Jessica; Rodriguez-Frandsen, Ariel et al. (2017) Identification of Polo-like kinases as potential novel drug targets for influenza A virus. Sci Rep 7:8629
Hartmann, Boris M; Albrecht, Randy A; Zaslavsky, Elena et al. (2017) Pandemic H1N1 influenza A viruses suppress immunogenic RIPK3-driven dendritic cell death. Nat Commun 8:1931
Lobingier, Braden T; Hüttenhain, Ruth; Eichel, Kelsie et al. (2017) An Approach to Spatiotemporally Resolve Protein Interaction Networks in Living Cells. Cell 169:350-360.e12
Rialdi, Alexander; Hultquist, Judd; Jimenez-Morales, David et al. (2017) The RNA Exosome Syncs IAV-RNAPII Transcription to Promote Viral Ribogenesis and Infectivity. Cell 169:679-692.e14
Soonthornvacharin, Stephen; Rodriguez-Frandsen, Ariel; Zhou, Yingyao et al. (2017) Systems-based analysis of RIG-I-dependent signalling identifies KHSRP as an inhibitor of RIG-I receptor activation. Nat Microbiol 2:17022
García-Sastre, Adolfo (2017) Ten Strategies of Interferon Evasion by Viruses. Cell Host Microbe 22:176-184
Martín-Vicente, María; Medrano, Luz M; Resino, Salvador et al. (2017) TRIM25 in the Regulation of the Antiviral Innate Immunity. Front Immunol 8:1187
Patzina, Corinna; Botting, Catherine H; García-Sastre, Adolfo et al. (2017) Human interactome of the influenza B virus NS1 protein. J Gen Virol 98:2267-2273
Park, Ryan J; Wang, Tim; Koundakjian, Dylan et al. (2017) A genome-wide CRISPR screen identifies a restricted set of HIV host dependency factors. Nat Genet 49:193-203
Schotsaert, Michael; García-Sastre, Adolfo (2017) Inactivated influenza virus vaccines: the future of TIV and QIV. Curr Opin Virol 23:102-106

Showing the most recent 10 out of 32 publications