The goal of this core is to serve Projects 1 and 2, by identifying HLA class I and class II epitopes derived from VZV, as a necessary prelude to the analyses of the dynamics of the epitope-specific T cell responses to vaccination with the zoster vaccine (Project 2). This data generated on the epitope specific T cell responses will be crifical in evaluafing the innate signatures that correlate with, and predict, the magnitude of the epitope specific T cell responses in Project 1. A key quesfion that will be facilitated by the informafion generated in this core, is whether early innate signatures are capable of predicfing the """"""""breadth"""""""" of the T cell responses to zoster vaccinafion in the elderly. Accordingly, our specific aims are:
Aim 1. Prediction and synthesis of candidate VZV HLA class I and class II epitopes We will screen the VZV proteome for the presence of sequence motifs associated with binding to 12 different HLA class I and 9 different HLA class II molecules, representafive of main HLA supertypes, and representative of the majority of HLA class I and class II molecules expressed in different ethnicities woridwide. Prediction of epitopes restricted by of a broad range of prevalent HLA molecules and supertypes will ensure adequate populafion coverage, thus enabling a rigorous evaluation of T cell responses associated with infecfion and vaccinafion in humans.
Aim 2. Test validated epitopes for binding to purified HLA molecules In vitro Project 2 will be mainly responsible for epitope validation and characterizafion, and as such those acfivities are neither described in detail nor budgeted for in the present secfion describing this core. In this core, we will test the validated/identified epitopes for binding to HLA molecules in vitro, thus enabling projection of their use in different ethnicities.
Aim 3. Data handling and Epitope submission In terms of submission of epitope data to the lEDB, we already have in-house the capability to prepare and submit data in the required XML format, as the proposed PI of this core is also the PI of the lEDB project. We anticipate being able to easily submit the identified epitopes to the lEDB, as we have already accomplished this task in the context of several previous epitope identiflcation projects.

Public Health Relevance

The goal of this core is to identify the epitopes recognized by anfigen-specific T cells that respond to zoster vaccine or infecfion. This will be a prelude to the analysis of epitope specific T cell responses to vaccinafion, and facilitate the idenfification of innate signatures that predict the breadth of the T cell response.

National Institute of Health (NIH)
National Institute of Allergy and Infectious Diseases (NIAID)
Research Program--Cooperative Agreements (U19)
Project #
Application #
Study Section
Special Emphasis Panel (ZAI1-QV-I)
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
Emory University
United States
Zip Code
Ho, Irvin Y; Bunker, Jeffrey J; Erickson, Steven A et al. (2016) Refined protocol for generating monoclonal antibodies from single human and murine B cells. J Immunol Methods 438:67-70
Nakaya, Helder I; Clutterbuck, Elizabeth; Kazmin, Dmitri et al. (2016) Systems biology of immunity to MF59-adjuvanted versus nonadjuvanted trivalent seasonal influenza vaccines in early childhood. Proc Natl Acad Sci U S A 113:1853-8
Quicke, Kendra M; Bowen, James R; Johnson, Erica L et al. (2016) Zika Virus Infects Human Placental Macrophages. Cell Host Microbe 20:83-90
Godec, Jernej; Tan, Yan; Liberzon, Arthur et al. (2016) Compendium of Immune Signatures Identifies Conserved and Species-Specific Biology in Response to Inflammation. Immunity 44:194-206
Li, Shuzhao; Todor, Andrei; Luo, Ruiyan (2016) Blood transcriptomics and metabolomics for personalized medicine. Comput Struct Biotechnol J 14:1-7
Ravindran, Rajesh; Loebbermann, Jens; Nakaya, Helder I et al. (2016) The amino acid sensor GCN2 controls gut inflammation by inhibiting inflammasome activation. Nature 531:523-7
Peng, Hesen; Ma, Junjie; Bai, Yun et al. (2015) MeDiA: Mean Distance Association and Its Applications in Nonlinear Gene Set Analysis. PLoS One 10:e0124620
Wang, Kai; Zhao, Qing; Lu, Jianwei et al. (2015) K-Profiles: A Nonlinear Clustering Method for Pattern Detection in High Dimensional Data. Biomed Res Int 2015:918954
Cobey, Sarah; Wilson, Patrick; Matsen 4th, Frederick A (2015) The evolution within us. Philos Trans R Soc Lond B Biol Sci 370:
Pulendran, Bali; Maddur, Mohan S (2015) Innate immune sensing and response to influenza. Curr Top Microbiol Immunol 386:23-71

Showing the most recent 10 out of 74 publications