# REGULATION OF MEMORY T CELL TRAFFICKING BY CORE 2 O-GLYCAN SYNTHESIS

> **NIH NIH R01** · OREGON HEALTH & SCIENCE UNIVERSITY · 2020 · $37,607

## Abstract

ABSTRACT
The current COVID-19 pandemic is a global health emergency, causing severe respiratory disease requiring
hospitalization and even death in a significant proportion of the human population. Although therapeutic
intervention including novel pharmaceuticals or the passive transfer of immune serum from recovered patients
could provide short-term relief in mortality and morbidity, the development of a successful vaccine will
ultimately be required to prevent the continued spread and seasonal recurrence of this disease within the
human population. However, very little is known about either the quality of adaptive immune response or the
viral antigen targets that are necessary to prevent the infection. Here we propose to evaluate a novel
vaccination approach recently developed in my laboratory that we will now apply to SARS-CoV-2. Specifically,
we will generate Vaccinia virus (VacV) vectors expressing the SARS-CoV-2 Spike (S) protein that have been
engineered to targeted the S protein for MHC-II presentation. Overall, this study will evaluate whether VacV
expressing SARS-CoV-2 S protein could be a potential vaccine candidate and whether the “immunogenicity” of
the S protein can be enhanced by targeting the protein for MHC-II presentation.

## Key facts

- **NIH application ID:** 10143716
- **Project number:** 3R01AI132404-03S1
- **Recipient organization:** OREGON HEALTH & SCIENCE UNIVERSITY
- **Principal Investigator:** Jeffrey C. Nolz
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $37,607
- **Award type:** 3
- **Project period:** 2020-05-18 → 2021-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10143716

## Citation

> US National Institutes of Health, RePORTER application 10143716, REGULATION OF MEMORY T CELL TRAFFICKING BY CORE 2 O-GLYCAN SYNTHESIS (3R01AI132404-03S1). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10143716. Licensed CC0.

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