# Tuberculosis: Immunity and Immune Evasion

> **NIH NIH R13** · KEYSTONE SYMPOSIA · 2020 · $9,000

## Abstract

ABSTRACT
Support is requested for a Keystone Symposia conference entitled Tuberculosis: Immunity and Immune
Evasion, organized by Drs. Joel Ernst, Jennifer Philips and Daniel L. Barber. The conference will be held in
Santa Fe, New Mexico USA from January 16- 20, 2020.
Tuberculosis remains the most common fatal infectious disease worldwide due to the absence of a sufficiently
effective vaccine. Two critical barriers to the development of an effective TB vaccine are the incomplete
understanding of the mechanisms of protective immunity to TB, and of the mechanisms of immune evasion by
M. tuberculosis. The interactions among speakers and attendees at this conference will promote collaborations
between scientists with complementary expertise and that work in geographically distinct institutions, including
those in high TB burden regions. This conference will present new knowledge on mechanisms of protective
immunity to M. tuberculosis, and promote dialogue between immunologists and scientists, in different areas of
expertise, to fill gaps in knowledge. Participants will also discuss advances in TB vaccine development and
vaccine immunology. Finally, this conference will cover topics on the advances in other fields of immunology
and other infectious diseases characterized by pathogen persistence which will help to inform
development of effective TB vaccines.

## Key facts

- **NIH application ID:** 9834772
- **Project number:** 1R13AI147619-01
- **Recipient organization:** KEYSTONE SYMPOSIA
- **Principal Investigator:** Thale Cross Jarvis
- **Activity code:** R13 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $9,000
- **Award type:** 1
- **Project period:** 2019-12-01 → 2020-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9834772

## Citation

> US National Institutes of Health, RePORTER application 9834772, Tuberculosis: Immunity and Immune Evasion (1R13AI147619-01). Retrieved via AI Analytics 2026-06-11 from https://api.ai-analytics.org/grant/nih/9834772. Licensed CC0.

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