ADMINISTRATIVE CORE for Influenza Immunity: Protective Mechanisms against a Pandemic Respiratory Virus. The Administrative Core of the Stanford Cooperative Center for Translational Research on Human Immunology and Biodefense will oversee the conduct of the research projects, technology development projects, pilot projects, and scientific cores proposed here. The Administrative Core will be led by Dr. Mark Davis as PI, with Drs. Ann Arvin and Harry Greenberg as co-Pis;they will anchor the Executive Committee, with the other project directors Drs. Nolan, Quake, and Butte as members. In addition, two other senior investigators from Stanford's School of Medicine will be recruited to serve on the Executive Committee on a rotating basis for two year terms.
The Specific Aims of the Adminstrative Core are to: 1) Implement administrative &leadership mechanisms that will facilitate communication and cooperation among the Stanford project leaders and with other CCHI investigators institutions to ensure a productive research effort; 2) Monitor the progress of each of the Research and Technology Development projects and their interactions with the scientific cores; 3) Provide an efficient, centralized unit for the fiscal and administrative operation of the Cooperative Center activities; 4) Develop, sponsor, and manage the Education Program. The Administrative Core personnel will be responsible for the overall organization, management, decision-making, and periodic evaluations within Stanford's CCHI. In addition, they will also oversee data sharing, protection of intellectual property in conjunction with Stanford's Office of Technology Licensing, and the involvement of institutional resources such as the GCRC.

Public Health Relevance

Annual influenza epidemics are a serious public health problem;influenza pandemics are a major threat. It is important to have an efficient administrative core component to maximize use of scarce research resources which are required to develop new knowledge about the human immune response to influenza vaccines and how these responses protect against infection.

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Research Program--Cooperative Agreements (U19)
Project #
5U19AI057229-07
Application #
8060523
Study Section
Special Emphasis Panel (ZAI1)
Project Start
Project End
Budget Start
2010-04-01
Budget End
2011-03-31
Support Year
7
Fiscal Year
2010
Total Cost
$184,720
Indirect Cost
Name
Stanford University
Department
Type
DUNS #
009214214
City
Stanford
State
CA
Country
United States
Zip Code
94305
Sibener, Leah V; Fernandes, Ricardo A; Kolawole, Elizabeth M et al. (2018) Isolation of a Structural Mechanism for Uncoupling T Cell Receptor Signaling from Peptide-MHC Binding. Cell 174:672-687.e27
Ju, Chia-Hsin; Blum, Lisa K; Kongpachith, Sarah et al. (2018) Plasmablast antibody repertoires in elderly influenza vaccine responders exhibit restricted diversity but increased breadth of binding across influenza strains. Clin Immunol 193:70-79
Sweeney, Timothy E; Perumal, Thanneer M; Henao, Ricardo et al. (2018) A community approach to mortality prediction in sepsis via gene expression analysis. Nat Commun 9:694
Davis, Mark M; Tato, Cristina M (2018) Will Systems Biology Deliver Its Promise and Contribute to the Development of New or Improved Vaccines? Seeing the Forest Rather than a Few Trees. Cold Spring Harb Perspect Biol 10:
Gee, Marvin H; Han, Arnold; Lofgren, Shane M et al. (2018) Antigen Identification for Orphan T Cell Receptors Expressed on Tumor-Infiltrating Lymphocytes. Cell 172:549-563.e16
Keeffe, Jennifer R; Van Rompay, Koen K A; Olsen, Priscilla C et al. (2018) A Combination of Two Human Monoclonal Antibodies Prevents Zika Virus Escape Mutations in Non-human Primates. Cell Rep 25:1385-1394.e7
Wagar, Lisa E; DiFazio, Robert M; Davis, Mark M (2018) Advanced model systems and tools for basic and translational human immunology. Genome Med 10:73
Good, Zinaida; Sarno, Jolanda; Jager, Astraea et al. (2018) Single-cell developmental classification of B cell precursor acute lymphoblastic leukemia at diagnosis reveals predictors of relapse. Nat Med 24:474-483
Satpathy, Ansuman T; Saligrama, Naresha; Buenrostro, Jason D et al. (2018) Transcript-indexed ATAC-seq for precision immune profiling. Nat Med 24:580-590
Vallania, Francesco; Tam, Andrew; Lofgren, Shane et al. (2018) Leveraging heterogeneity across multiple datasets increases cell-mixture deconvolution accuracy and reduces biological and technical biases. Nat Commun 9:4735

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