We will carry out deep sequencing of rearranged immunoglobulin (Ig) and T cell receptor (TCR) genes from lymphocytes in human subjects responding to several distinct viral (H1N1 influenza, varicella zoster, and measles/mumps/rubella) and bacterial (meningococcal) vaccines, as well as natural infections with HI N1 influenza and varicella zoster. Our initial analysis will examine rearranged Ig and TCR repertoire in total peripheral blood lymphocyte populations. Subsequent analysis will define repertoire in subsets of Bcells and T-cells selected on the basis of their immunophenotype or antigen binding activity. These data will provide a fine-detailed view of the number, size, and receptor sequence features of expanded B and T cell clones arising during these human immune responses, and will be correlated with a variety of parallel serological and cellular functional immune assays from the Stanford Human Immune Monitoring Research (SHIMR) Center to enable detection ofthe characteristics of effective vaccination and the immune response to natural infection. The effects of patient age and genetic bacl

Public Health Relevance

We will apply new DNA sequencing methods to study the unique receptors expressed by populations of B and T cells in the immune system following protective vaccination against viral and bacterial diseases, and during active infections. Better understanding of which B cells and T cells respond to vaccination and infection, and which are most helpful for fighting disease, will aid the design and testing of new vaccines.

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Research Program--Cooperative Agreements (U19)
Project #
5U19AI090019-04
Application #
8509592
Study Section
Special Emphasis Panel (ZAI1-QV-I)
Project Start
Project End
Budget Start
2013-07-01
Budget End
2014-06-30
Support Year
4
Fiscal Year
2013
Total Cost
$316,344
Indirect Cost
$94,967
Name
Stanford University
Department
Type
DUNS #
009214214
City
Stanford
State
CA
Country
United States
Zip Code
94305
Bongen, Erika; Vallania, Francesco; Utz, Paul J et al. (2018) KLRD1-expressing natural killer cells predict influenza susceptibility. Genome Med 10:45
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
Nair, Nitya; Feng, Ningguo; Blum, Lisa K et al. (2017) VP4- and VP7-specific antibodies mediate heterotypic immunity to rotavirus in humans. Sci Transl Med 9:
Brodin, Petter; Davis, Mark M (2017) Human immune system variation. Nat Rev Immunol 17:21-29
Haddon, D James; Wand, Hannah E; Jarrell, Justin A et al. (2017) Proteomic Analysis of Sera from Individuals with Diffuse Cutaneous Systemic Sclerosis Reveals a Multianalyte Signature Associated with Clinical Improvement during Imatinib Mesylate Treatment. J Rheumatol 44:631-638
Furman, David; Chang, Junlei; Lartigue, Lydia et al. (2017) Expression of specific inflammasome gene modules stratifies older individuals into two extreme clinical and immunological states. Nat Med 23:174-184
HIPC-CHI Signatures Project Team; HIPC-I Consortium (2017) Multicohort analysis reveals baseline transcriptional predictors of influenza vaccination responses. Sci Immunol 2:
O'Gorman, W E; Kong, D S; Balboni, I M et al. (2017) Mass cytometry identifies a distinct monocyte cytokine signature shared by clinically heterogeneous pediatric SLE patients. J Autoimmun :
Blazkova, Jana; Gupta, Sarthak; Liu, Yudong et al. (2017) Multicenter Systems Analysis of Human Blood Reveals Immature Neutrophils in Males and During Pregnancy. J Immunol 198:2479-2488
Su, Laura F; Del Alcazar, Daniel; Stelekati, Erietta et al. (2016) Antigen exposure shapes the ratio between antigen-specific Tregs and conventional T cells in human peripheral blood. Proc Natl Acad Sci U S A 113:E6192-E6198

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