The influenza virus and its variants remains a serious public health threat in both developing and developed counties, accounting for ~35,000 deaths and hundreds of thousands hospitalized in the US alone in an average year. In this renewal application from the Cooperative Center for Human Immunology at Stanford University, we wish to leverage our considerable experience in analyzing the influenza vaccine response to address some fundamental questions and hypotheses regarding how the human immune system responds to influenza vaccination or infection. We also wish to continue advancing immune monitoring technologies relevant to analyzing the human immune response, such Cytometry by Time-Of-Flight, or CyTOF, combinatorial peptide-MHC tetramers and new TCR and BCR repertoire and gene expression analysis methods that open up entirely new areas of investigation and ways to test hypotheses. The general theme of our proposal is to address specific questions regarding how the human immune system develops and changes in young children, adolescents and young adults. While there are considerable challenges in monitoring the immune responses of infants and young children, new technologies, many of them developed here at Stanford, now make some very fundamental questions feasible to address. These include testing hypotheses about memory phenotype T cells, and of flu-specific effector and memory CD4+ T cells (PI), the influence of innate immune factors and CD4+ T cells on influenza virus infection in a novel ex vivo system (P2), the development of the immunoglobulin, T cell receptor and NK repertoires in response to vaccination in different age groups from our twin cohort (P3), and advancing the capabilities of the CyTOF instrument (P4). These efforts will be very ably supported by our Administrative (A), Pilot (B), Clinical (C), Human Immune Monitoring (D), Genomics (E) and Bioinformatics (F) Cores. Most of these cores have been in place for four or more years and have provided vital and state-of the-art support for the research activities of the group. We are entering into an exciting period of time for human immunology and we think that the Stanford team will continue to be extremely productive.

Public Health Relevance

Influenza virus is a category C priority human pathogen that represents an ongoing and serious public health threat world-wide. In this proposal we seek to understand the fundamental processes with which the human immune system responds to vaccination and combats influenza infection. We are particularly focused on how this immunity develops in children and adolescents compared to adults.

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Research Program--Cooperative Agreements (U19)
Project #
5U19AI057229-13
Application #
9041493
Study Section
Special Emphasis Panel (ZAI1)
Program Officer
Ramachandra, Lakshmi
Project Start
2003-09-01
Project End
2019-03-31
Budget Start
2016-04-01
Budget End
2017-03-31
Support Year
13
Fiscal Year
2016
Total Cost
Indirect Cost
Name
Stanford University
Department
Microbiology/Immun/Virology
Type
Schools of Medicine
DUNS #
009214214
City
Stanford
State
CA
Country
United States
Zip Code
94304
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

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