By combining immune monitoring on multiple platforms in a single center, the Human Immune Monitoring Center (HIMC) has created an ideal environment for all aspects of human immunology studies, from sample processing and banking, to immune assessment assays, and data analysis and integration. Of particular relevance to this U19, we have an efficient system for high capacity sample banking and retrieval, working closely with the Clinical and Translational Research Unit (CTRU) and clinical coordinators to ensure accurate labeling, sample tracking, and optimal storage and retrieval for assays. We have also standardized both basic and advanced immune monitoring platforms, from simple ELISA assays for determination of CMV and EBV antibody titers, to complex CyTOF mass cytometry assays. In our first Specific Aim, we will process and bank PBMC, serum, and RNA for clinical specimens, in collaboration with the CTRU and Clinical Core. In our second Specific Aim, we will offer CMV and EBV antibody testing and hemagglutinin inhibition assays, provide DNA and RNA extraction services, and run CyTOF assays for CCHI projects. We have highly trained personnel in all of these areas to support the generation of optimized and standardized data. Finally, in our third Specific Aim, we will offer data integration services through our online relational database, Stanford Data Miner (SDM). With newly developed capabilities, SDM will allow integration of data across the above assays and with relevant clinical variables. It will also be able to mine these integrated data sets using on-board machine learning tools such as decision trees and association rules mining.

Public Health Relevance

The HIMC core will facilitate the generation of a valuable database of clinical specimens, characterized for basic immunological variables, that will serve the needs of individual CCHI projects. These specimens will become even more valuable when fully characterized by advanced immunological assays through our Human Immunology Project Consortium (HIPC) and mined via our online database, SDM.

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 #
9041502
Study Section
Special Emphasis Panel (ZAI1)
Project Start
Project End
Budget Start
2016-04-01
Budget End
2017-03-31
Support Year
13
Fiscal Year
2016
Total Cost
Indirect Cost
Name
Stanford University
Department
Type
DUNS #
009214214
City
Stanford
State
CA
Country
United States
Zip Code
94304
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
Sweeney, Timothy E; Thomas, Neal J; Howrylak, Judie A et al. (2018) Multicohort Analysis of Whole-Blood Gene Expression Data Does Not Form a Robust Diagnostic for Acute Respiratory Distress Syndrome. Crit Care Med 46:244-251
Kronstad, Lisa M; Seiler, Christof; Vergara, Rosemary et al. (2018) Differential Induction of IFN-? and Modulation of CD112 and CD54 Expression Govern the Magnitude of NK Cell IFN-? Response to Influenza A Viruses. J Immunol 201:2117-2131

Showing the most recent 10 out of 249 publications