The objective of this Core is to provide sequencing services to support the other projects in this Program Project in their efforts to determine the functions of proteins in the M. tuberculosis (Mtb) genome. We will take advantage of next-generation sequencing technology (aka

Public Health Relevance

M. tuberculosis the most prevalent human pathogen worldwide, and a better understanding of the biology of the organism through the functions of genes in the genome is needed for development of new therapies. The goal of this Core is to exploit next-generation DNA sequencing in several ways to provide insight on the functions of genes in the Mtb genome whose functions are currently unknown.

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 #
8597708
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
$174,795
Indirect Cost
$24,136
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
Boutte, Cara C; Baer, Christina E; Papavinasasundaram, Kadamba et al. (2016) A cytoplasmic peptidoglycan amidase homologue controls mycobacterial cell wall synthesis. Elife 5:
Baric, Ralph S; Crosson, Sean; Damania, Blossom et al. (2016) Next-Generation High-Throughput Functional Annotation of Microbial Genomes. MBio 7:
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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