Cryptococcus neoformans is an opportunistic fungal pathogen in patients with AIDS. C. neoformans is a basidiomycetes widely diverged from most other fungal pathogens. The most common clinical presentations are meningoencephalitis and pulmonary cryptococcosis. Available antifungal agents, directed against the ergosterol pathway, are inadequate for continued safe and effective therapy due to inherent toxicity, emerging fungal resistance, and the requirement for lifelong treatment. New targets for antifungal therapies are needed. Proteins that are differentially regulated during infection may be essential for pathogenesis and be good targets for novel antifungal therapies. Over the past decade, the pathogenesis of C. neoformans has been intensively studied using molecular biology, genetic, immunological and biochemical approaches. However, only a handful of new antifungal targets have been identified using traditional methods. A funded genome project for C. neoformans has made new approaches possible. We have developed a proteomic system for C. neoformans that utilizes 2-dimensional gel electrophoresis and MALDI-TOF analysis. We will reproducibly separate and quantitate proteins, identify proteins that are affected by specific conditions, and determine the identity of those proteins. We propose to use proteomics to identify C. neoformans proteins that are affected by specific in vitro conditions that mimic an aspect of the infection process. These proteins will form the basis for comparison for additional studies examining proteins that are affected in an animal model. The genes encoding these proteins will be mutated by targeted gene disruption and tested for their role in viability and pathogenesis using a mouse model.

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Research Project (R01)
Project #
5R01AI051209-02
Application #
6701783
Study Section
AIDS and Related Research 8 (AARR)
Program Officer
Lambros, Chris
Project Start
2003-03-01
Project End
2006-02-28
Budget Start
2004-03-01
Budget End
2005-02-28
Support Year
2
Fiscal Year
2004
Total Cost
$324,354
Indirect Cost
Name
Saint Louis University
Department
Biochemistry
Type
Schools of Medicine
DUNS #
050220722
City
Saint Louis
State
MO
Country
United States
Zip Code
63103
Brown, Sarah M; Campbell, Leona T; Lodge, Jennifer K (2007) Cryptococcus neoformans, a fungus under stress. Curr Opin Microbiol 10:320-5
Missall, Tricia A; Pusateri, Mary Ellen; Donlin, Maureen J et al. (2006) Posttranslational, translational, and transcriptional responses to nitric oxide stress in Cryptococcus neoformans: implications for virulence. Eukaryot Cell 5:518-29
Brent, Michael R (2005) Genome annotation past, present, and future: how to define an ORF at each locus. Genome Res 15:1777-86
Missall, Tricia A; Lodge, Jennifer K (2005) Thioredoxin reductase is essential for viability in the fungal pathogen Cryptococcus neoformans. Eukaryot Cell 4:487-9
Missall, Tricia A; Lodge, Jennifer K (2005) Function of the thioredoxin proteins in Cryptococcus neoformans during stress or virulence and regulation by putative transcriptional modulators. Mol Microbiol 57:847-58
Missall, Tricia A; Moran, Jason M; Corbett, John A et al. (2005) Distinct stress responses of two functional laccases in Cryptococcus neoformans are revealed in the absence of the thiol-specific antioxidant Tsa1. Eukaryot Cell 4:202-8
Missall, Tricia A; Cherry-Harris, Jocie F; Lodge, Jennifer K (2005) Two glutathione peroxidases in the fungal pathogen Cryptococcus neoformans are expressed in the presence of specific substrates. Microbiology 151:2573-81
Tenney, Aaron E; Brown, Randall H; Vaske, Charles et al. (2004) Gene prediction and verification in a compact genome with numerous small introns. Genome Res 14:2330-5
Missall, Tricia A; Lodge, Jennifer K; McEwen, Joan E (2004) Mechanisms of resistance to oxidative and nitrosative stress: implications for fungal survival in mammalian hosts. Eukaryot Cell 3:835-46
Brent, Michael R; Guigo, Roderic (2004) Recent advances in gene structure prediction. Curr Opin Struct Biol 14:264-72

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