Abstract

PILOT PROJECTS CORE for Influenza Immunity: Protective Mechanisms against a Pandemic Respiratory Virus. The purpose of the Pilot Projects Core is to support investigators new to human immunology studies or with novel ideas or technologies to be applied to human immunological questions. These small grants will provide funds to obtain pilot data as a foundation for subsequent application for extramural funding.
The specific aims of this Core are: l.A.To solicit proposals on an annual basis in the Stanford research community for pilot projects related to human immunology. l.B.To review these proposals and to award seed grants for 1-3 projects/year. 1.C.To provide infrastructure support for the Pilot Projects.during the award period._ l.D.To monitor the progress of the Pilot Projects on a quarterly basis and to monitor the overall success of the program by tracking publications and extramural funding obtained on the basis of Pilot Project support.

Public Health Relevance

Annual influenza epidemics are a serious public health problem;influenza pandemics are a major threat. It is important to provide resources such as seed funds for Pilot Projects to support new research ideas or technologies that could be developed to address critical questions in human immunology.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Research Program--Cooperative Agreements (U19)
Project #
5U19AI057229-10
Application #
8508802
Study Section
Special Emphasis Panel (ZAI1-KS-I)
Project Start
2013-04-01
Project End
2014-03-31
Budget Start
2013-04-01
Budget End
2014-03-31
Support Year
10
Fiscal Year
2013
Total Cost
$131,174
Indirect Cost
$37,174

  Institution

Name
Stanford University
Department
Type
DUNS #
009214214
City
Stanford
State
CA
Country
United States
Zip Code
94305

  Publications

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
Sweeney, Timothy E; Azad, Tej D; Donato, Michele et al. (2018) Unsupervised Analysis of Transcriptomics in Bacterial Sepsis Across Multiple Datasets Reveals Three Robust Clusters. Crit Care Med 46:915-925
Lin, Dongxia; Maecker, Holden T (2018) Mass Cytometry Assays for Antigen-Specific T Cells Using CyTOF. Methods Mol Biol 1678:37-47
Goltsev, Yury; Samusik, Nikolay; Kennedy-Darling, Julia et al. (2018) Deep Profiling of Mouse Splenic Architecture with CODEX Multiplexed Imaging. Cell 174:968-981.e15
Gee, Marvin H; Sibener, Leah V; Birnbaum, Michael E et al. (2018) Stress-testing the relationship between T cell receptor/peptide-MHC affinity and cross-reactivity using peptide velcro. Proc Natl Acad Sci U S A 115:E7369-E7378
Cheung, Peggie; Vallania, Francesco; Warsinske, Hayley C et al. (2018) Single-Cell Chromatin Modification Profiling Reveals Increased Epigenetic Variations with Aging. Cell 173:1385-1397.e14
Mamedov, Murad R; Scholzen, Anja; Nair, Ramesh V et al. (2018) A Macrophage Colony-Stimulating-Factor-Producing ?? T Cell Subset Prevents Malarial Parasitemic Recurrence. Immunity 48:350-363.e7
Kooreman, Nigel G; Kim, Youngkyun; de Almeida, Patricia E et al. (2018) Autologous iPSC-Based Vaccines Elicit Anti-tumor Responses In Vivo. Cell Stem Cell 22:501-513.e7
Haynes, Winston A; Tomczak, Aurelie; Khatri, Purvesh (2018) Gene annotation bias impedes biomedical research. Sci Rep 8:1362

Showing the most recent 10 out of 249 publications