Abstract

The Specific Aims of the Opportunity Fund Management Core (OFMC) of the Stanford CCHI are to: 1) Establish an administrative structure that will facilitate communication with the CCHI Steering Committee regarding priorities and goals for funding; 2) Establish procedures for soliciting, evaluating, prioritizing, and selecting the projects chosen for Opportunity Fund support; 3) Monitor the disbursement and tracking of Opportunity Fund awards, providing reports on the status of the Opportunity Fund at requested intervals or at least annually. 4) Ensure that all projects supported from the Opportunity Fund comply fully with all applicable Federal regulations, policies, and guidelines for research involving human subjects, including the evaluation of risks and protections in projects and appropriate ethical oversight.

Public Health Relevance

The CCHI Opportunity Fund provides a mechanism for support of resources such as technical expertise, access to specific high-cost instrumentation, bioinformatics etc. for cooperative projects involving CCHI investigators. This Opportunity Fund Management Core will follow the recommendations of the CCHI Steering Committee to set the goals, priorities and evaluation criteria for the use of the Opportunity Fund.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Research Program--Cooperative Agreements (U19)
Project #
5U19AI057229-12
Application #
8833770
Study Section
Special Emphasis Panel (ZAI1-LAR-I)
Project Start
Project End
Budget Start
2015-04-01
Budget End
2016-03-31
Support Year
12
Fiscal Year
2015
Total Cost
$1,363,605
Indirect Cost
$518,305

  Institution

Name
Stanford University
Department
Type
DUNS #
009214214
City
Stanford
State
CA
Country
United States
Zip Code
94304

  Publications

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
Bongen, Erika; Vallania, Francesco; Utz, Paul J et al. (2018) KLRD1-expressing natural killer cells predict influenza susceptibility. Genome Med 10:45

Showing the most recent 10 out of 249 publications