The goal of the Administration Core is to establish tightly interacting Projects that interface with Technology, Modeling and Data Dissemination and Resource Distribution Cores to achieve the scientific and administrative goals of the Omics forTB Pathogenesis (0TB) consortium. The Core will organize and manage projects, their integration and progress, as well as communication among the groups. The Core is also responsible for implementation of a training program, Systems Biology of Pathogens and Their Hosts Short-Course, to promote the use of the systems biology approach in the study of infectious disease. Starting in the second year, the Administrative Core will also establish a Pilot Research Program and a Training Program to facilitate the development of innovative concepts and new researchers to study infectious diseases with systems biology. The Administrative Core will Continuously monitor the scientific progress of each component of the Program and drive integration across the Projects and Cores. Evaluate the scientific progress of the Program and discuss alternative approaches to advance the science accordingly. Facilitate internal communications among the individual scientists at each institution. Apprise appropriate officials at NIH on progress in the form of teleconferences, meetings, and other communications as mandated by the contract rules. Provide fiscal oversight to ensure all financial resources are used appropriately. Ensure all guidelines with respect to intellectual property issues are followed. Facilitate communication with the larger research community and the public.

Public Health Relevance

The success of a large systems biology program depends on excellent overall management, coordination, and supervision. The Administrative Core will ensure that all requirements of the Program are met and facilitate all aspects of communication, integration, and collaboration in the consortium.

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-EC-M (M1))
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
Seattle Biomedical Research Institute
United States
Zip Code
Nicod, Charlotte; Banaei-Esfahani, Amir; Collins, Ben C (2017) Elucidation of host-pathogen protein-protein interactions to uncover mechanisms of host cell rewiring. Curr Opin Microbiol 39:7-15
Banaei-Esfahani, Amir; Nicod, Charlotte; Aebersold, Ruedi et al. (2017) Systems proteomics approaches to study bacterial pathogens: application to Mycobacterium tuberculosis. Curr Opin Microbiol 39:64-72
Woodworth, J S; Cohen, S B; Moguche, A O et al. (2017) Subunit vaccine H56/CAF01 induces a population of circulating CD4 T cells that traffic into the Mycobacterium tuberculosis-infected lung. Mucosal Immunol 10:555-564
Thompson, Ethan G; Du, Ying; Malherbe, Stephanus T et al. (2017) Host blood RNA signatures predict the outcome of tuberculosis treatment. Tuberculosis (Edinb) 107:48-58
Levitte, Steven; Adams, Kristin N; Berg, Russell D et al. (2016) Mycobacterial Acid Tolerance Enables Phagolysosomal Survival and Establishment of Tuberculous Infection In Vivo. Cell Host Microbe 20:250-8
Peterson, Eliza J R; Ma, Shuyi; Sherman, David R et al. (2016) Network analysis identifies Rv0324 and Rv0880 as regulators of bedaquiline tolerance in Mycobacterium tuberculosis. Nat Microbiol 1:16078
Rothchild, Alissa C; Sissons, James R; Shafiani, Shahin et al. (2016) MiR-155-regulated molecular network orchestrates cell fate in the innate and adaptive immune response to Mycobacterium tuberculosis. Proc Natl Acad Sci U S A 113:E6172-E6181
Minch, Kyle J; Rustad, Tige R; Peterson, Eliza J R et al. (2015) The DNA-binding network of Mycobacterium tuberculosis. Nat Commun 6:5829
Ma, Shuyi; Minch, Kyle J; Rustad, Tige R et al. (2015) Integrated Modeling of Gene Regulatory and Metabolic Networks in Mycobacterium tuberculosis. PLoS Comput Biol 11:e1004543
Zak, Daniel E; Aderem, Alan (2015) Systems integration of innate and adaptive immunity. Vaccine 33:5241-8

Showing the most recent 10 out of 18 publications