Analysis of the T. cruzi proteome from four life cycle stages will be accomplished using multi-dimensional liquid chromatography (LC) tandem mass spectrometry (MS/MS). The information derived from this analysis will be used in at least two ways to achieve the goals of the Program Project. First, we will identify expressed genes from among the predicted ORFs derived in Project 1. Second, this analysis will help us identify the stage specific expression of genes ? allowing us to target vaccination depending on the parasite stage that would be most likely affected. Three methods will be used to improve our coverage of the proteome: 1) development of better computational tools to match spectra to proteins more efficiently; 2) use of improved mass spectrometer for the analysis; and 3) evaluation of other types of LC separation strategies. Lastly, we will analyze sub cellular compartments of T. cruzi, specifically the cell surface proteins and secreted proteins from amastigotes in order to identify proteins that may be particularly attractive targets for immune recognition. The full utility of the proteome analysis will be achieved with the imminent completion of the T. cruzi sequencing project and the annotation of the genome by computational means and by using information we will generate from the proteome. The Bioinformatics core of this Program Project will play a crucial role in this project.

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Research Program Projects (P01)
Project #
5P01AI044979-09
Application #
7380072
Study Section
Special Emphasis Panel (ZAI1)
Project Start
Project End
Budget Start
2007-03-01
Budget End
2008-02-29
Support Year
9
Fiscal Year
2007
Total Cost
$163,838
Indirect Cost
Name
University of Georgia
Department
Type
DUNS #
004315578
City
Athens
State
GA
Country
United States
Zip Code
30602
Castro Eiro, Melisa D; Alvarez, María G; Cooley, Gretchen et al. (2017) The Significance of Discordant Serology in Chagas Disease: Enhanced T-Cell Immunity to Trypanosoma cruzi in Serodiscordant Subjects. Front Immunol 8:1141
Weatherly, D Brent; Peng, Duo; Tarleton, Rick L (2016) Recombination-driven generation of the largest pathogen repository of antigen variants in the protozoan Trypanosoma cruzi. BMC Genomics 17:729
Alvarez, María G; Bertocchi, Graciela L; Cooley, Gretchen et al. (2016) Treatment Success in Trypanosoma cruzi Infection Is Predicted by Early Changes in Serially Monitored Parasite-Specific T and B Cell Responses. PLoS Negl Trop Dis 10:e0004657
Albareda, M Cecilia; Perez-Mazliah, Damián; Natale, M Ailén et al. (2015) Perturbed T cell IL-7 receptor signaling in chronic Chagas disease. J Immunol 194:3883-9
Bustamante, Juan M; Tarleton, Rick L (2014) Potential new clinical therapies for Chagas disease. Expert Rev Clin Pharmacol 7:317-25
Hartley, Ashley N; Cooley, Gretchen; Gwyn, Sarah et al. (2014) Frequency of IFN?-producing T cells correlates with seroreactivity and activated T cells during canine Trypanosoma cruzi infection. Vet Res 45:6
Bustamante, Juan M; Craft, Julie M; Crowe, Byron D et al. (2014) New, combined, and reduced dosing treatment protocols cure Trypanosoma cruzi infection in mice. J Infect Dis 209:150-62
Perez-Mazliah, D E; Alvarez, M G; Cooley, G et al. (2013) Sequential combined treatment with allopurinol and benznidazole in the chronic phase of Trypanosoma cruzi infection: a pilot study. J Antimicrob Chemother 68:424-37
Argüello, Rafael J; Albareda, María C; Alvarez, María G et al. (2012) Inhibitory receptors are expressed by Trypanosoma cruzi-specific effector T cells and in hearts of subjects with chronic Chagas disease. PLoS One 7:e35966
Minning, Todd A; Weatherly, D Brent; Flibotte, Stephane et al. (2011) Widespread, focal copy number variations (CNV) and whole chromosome aneuploidies in Trypanosoma cruzi strains revealed by array comparative genomic hybridization. BMC Genomics 12:139

Showing the most recent 10 out of 32 publications