Consistent with the stated objectives of this RFA, the goal of this technology core is to furnish a suite of biochemical tools, reagents and assays that will serve as the basis for generafing experimental evidence for the

Public Health Relevance

TB is the leading bacterial cause of deaths worldwide and a pathogen of pandemic proportion. However, like the case for most microbes, its most unique attributes, and potentially most selective targets, are encoded by genes of unknown function. The establishment of the metabolomic and biochemistry core proposed herein will help fill this gap in knowledge.

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Research Program--Cooperative Agreements (U19)
Project #
1U19AI107774-01
Application #
8597705
Study Section
Special Emphasis Panel (ZAI1-FDS-M (M1))
Project Start
2013-07-02
Project End
2018-06-30
Budget Start
2013-07-02
Budget End
2014-06-30
Support Year
1
Fiscal Year
2013
Total Cost
$464,355
Indirect Cost
$64,118
Name
Harvard University
Department
Type
DUNS #
149617367
City
Boston
State
MA
Country
United States
Zip Code
02115
Lovewell, Rustin R; Sassetti, Christopher M; VanderVen, Brian C (2016) Chewing the fat: lipid metabolism and homeostasis during M. tuberculosis infection. Curr Opin Microbiol 29:30-6
Cheng, Yu-Shan; Sacchettini, James C (2016) Structural Insights into Mycobacterium tuberculosis Rv2671 Protein as a Dihydrofolate Reductase Functional Analogue Contributing to para-Aminosalicylic Acid Resistance. Biochemistry 55:1107-19
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Olive, Andrew J; Sassetti, Christopher M (2016) Metabolic crosstalk between host and pathogen: sensing, adapting and competing. Nat Rev Microbiol 14:221-34
DeJesus, Michael A; Ioerger, Thomas R (2015) Capturing Uncertainty by Modeling Local Transposon Insertion Frequencies Improves Discrimination of Essential Genes. IEEE/ACM Trans Comput Biol Bioinform 12:92-102
Shell, Scarlet S; Wang, Jing; Lapierre, Pascal et al. (2015) Leaderless Transcripts and Small Proteins Are Common Features of the Mycobacterial Translational Landscape. PLoS Genet 11:e1005641
Long, Jarukit E; DeJesus, Michael; Ward, Doyle et al. (2015) Identifying essential genes in Mycobacterium tuberculosis by global phenotypic profiling. Methods Mol Biol 1279:79-95
Murphy, Kenan C; Papavinasasundaram, Kadamba; Sassetti, Christopher M (2015) Mycobacterial recombineering. Methods Mol Biol 1285:177-99
Baer, Christina E; Rubin, Eric J; Sassetti, Christopher M (2015) New insights into TB physiology suggest untapped therapeutic opportunities. Immunol Rev 264:327-43

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