Abstract

The administrative core of the Stanford CCHI has been highly successful in the past fifteen years in its leadership and coordination of center activities, management of finances and resources, and facilitation of intra-center collaboration and scientific support. The continued success of the Stanford CCHI will rely upon the continued success of its administrative core. Dr. Mark Davis will remain in his role as overall PI of the CCHI and as the core lead for the administrative core. He will be assisted by Dr. Scott Boyd and Dr. Kari Nadeau, and together with the other project and core leaders will be responsible for the overall organization, management, decision-making, and periodic evaluations within the Stanford CCHI. In addition, they will oversee resource allocation, protection of intellectual property in conjunction with Stanford?s Office of Technology Licensing, and the involvement of other institutional resources. Dr. Robert DiFazio and Ms. Michele King will continue assisting Dr. Davis to monitor overall progress, provide support to the administrative leadership team, and coordinate center activities and collaboration. They will be joined by Dr. Weiqi Wang, who will oversee data sharing and upload of data to ImmPort.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Research Program--Cooperative Agreements (U19)
Project #
5U19AI057229-17
Application #
9894721
Study Section
Special Emphasis Panel (ZAI1)
Project Start
Project End
Budget Start
2020-04-01
Budget End
2021-03-31
Support Year
17
Fiscal Year
2020
Total Cost
Indirect Cost

  Institution

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

  Publications

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
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

Showing the most recent 10 out of 249 publications