This proposal is written in response to an NHLBI FOA requesting a Data Coordinating Center (DCC) for RFA- HL-10-022 Coordinating Center for Systems Biology Approach to the Mechanisms of Tuberculosis (TB) Latency and Reactivation. The purpose of the FOA is to investigate the mechanisms of latency and the reactivation of tuberculosis in the host using integrated systems biology approaches. In this application, we propose to run the DCC from the Collaborative Health Studies Coordinating Center (CHSCC) at the University of Washington.

Public Health Relevance

Scientific knowledge to be achieved through research supported by the Coordinating Center for Systems Biology Approach to the Mechanisms of Tuberculosis (TB) Latency and Reactivation program: The ability to integrate data on host lung immune interactions with Mycobacterium tuberculosis (Mtb) is needed to understand the mechanisms of latency and reactivation of TB and to develop better TB drugs, more effective vaccine, and better diagnostics.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Project (R01)
Project #
5R01HL106800-03
Application #
8319465
Study Section
Special Emphasis Panel (ZHL1-CSR-Z (S1))
Program Officer
Peavy, Hannah H
Project Start
2010-09-17
Project End
2014-08-31
Budget Start
2012-09-01
Budget End
2013-08-31
Support Year
3
Fiscal Year
2012
Total Cost
$584,652
Indirect Cost
$208,834
Name
University of Washington
Department
Biostatistics & Other Math Sci
Type
Schools of Public Health
DUNS #
605799469
City
Seattle
State
WA
Country
United States
Zip Code
98195
Lakehal, Karim; Levine, David; Kerr, Kathleen F et al. (2017) Tuberculosis State Is Associated with Expression of Toll-Like Receptor 2 in Sputum Macrophages. mSphere 2:
Silver, Richard F; Myers, Amy J; Jarvela, Jessica et al. (2016) Diversity of Human and Macaque Airway Immune Cells at Baseline and during Tuberculosis Infection. Am J Respir Cell Mol Biol 55:899-908
Pienaar, Elsje; Matern, William M; Linderman, Jennifer J et al. (2016) Multiscale Model of Mycobacterium tuberculosis Infection Maps Metabolite and Gene Perturbations to Granuloma Sterilization Predictions. Infect Immun 84:1650-1669
Levine, David M; Dutta, Noton K; Eckels, Josh et al. (2015) A tuberculosis ontology for host systems biology. Tuberculosis (Edinb) 95:570-4