Literature DB >> 20491062

A genome-scale metabolic model of Cryptosporidium hominis.

Niti Vanee1, Seth B Roberts, Stephen S Fong, Patricio Manque, Gregory A Buck.   

Abstract

The apicomplexan Cryptosporidium is a protozoan parasite of humans and other mammals. Cryptosporidium species cause acute gastroenteritis and diarrheal disease in healthy humans and animals, and cause life-threatening infection in immunocompromised individuals such as people with AIDS. The parasite has a one-host life cycle and commonly invades intestinal epithelial cells. The current genome annotation of C. hominis, the most serious human pathogen, predicts 3884 genes of which ca. 1581 have predicted functional annotations. Using a combination of bioinformatics analysis, biochemical evidence, and high-throughput data, we have constructed a genome-scale metabolic model of C. hominis. The model is comprised of 213 gene-associated enzymes involved in 540 reactions among the major metabolic pathways and provides a link between the genotype and the phenotype of the organism, making it possible to study and predict behavior based upon genome content. This model was also used to analyze the two life stages of the parasite by integrating the stage-specific proteomic data for oocyst and sporozoite stages. Overall, this model provides a computational framework to systematically study and analyze various functional behaviors of C. hominis with respect to its life cycle and pathogenicity.

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Year:  2010        PMID: 20491062     DOI: 10.1002/cbdv.200900323

Source DB:  PubMed          Journal:  Chem Biodivers        ISSN: 1612-1872            Impact factor:   2.408


  8 in total

Review 1.  A metabolic network approach for the identification and prioritization of antimicrobial drug targets.

Authors:  Arvind K Chavali; Kevin M D'Auria; Erik L Hewlett; Richard D Pearson; Jason A Papin
Journal:  Trends Microbiol       Date:  2012-01-31       Impact factor: 17.079

Review 2.  Genomics of apicomplexan parasites.

Authors:  Lakshmipuram Seshadri Swapna; John Parkinson
Journal:  Crit Rev Biochem Mol Biol       Date:  2017-02-22       Impact factor: 8.250

Review 3.  Genomics and population biology of Cryptosporidium species.

Authors:  G Widmer; S Sullivan
Journal:  Parasite Immunol       Date:  2012 Feb-Mar       Impact factor: 2.280

4.  Metabolic Needs and Capabilities of Toxoplasma gondii through Combined Computational and Experimental Analysis.

Authors:  Stepan Tymoshenko; Rebecca D Oppenheim; Rasmus Agren; Jens Nielsen; Dominique Soldati-Favre; Vassily Hatzimanikatis
Journal:  PLoS Comput Biol       Date:  2015-05-22       Impact factor: 4.475

5.  Metabolomic profiling of faecal extracts from Cryptosporidium parvum infection in experimental mouse models.

Authors:  Josephine S Y Ng Hublin; Una Ryan; Robert Trengove; Garth Maker
Journal:  PLoS One       Date:  2013-10-18       Impact factor: 3.240

6.  Proteomics-based metabolic modeling and characterization of the cellulolytic bacterium Thermobifida fusca.

Authors:  Niti Vanee; J Paul Brooks; Victor Spicer; Dmitriy Shamshurin; Oleg Krokhin; John A Wilkins; Yu Deng; Stephen S Fong
Journal:  BMC Syst Biol       Date:  2014-08-13

7.  Metabolic characterization of the chitinolytic bacterium Serratia marcescens using a genome-scale metabolic model.

Authors:  Qiang Yan; Seth Robert; J Paul Brooks; Stephen S Fong
Journal:  BMC Bioinformatics       Date:  2019-05-06       Impact factor: 3.169

8.  Comparative analyses of parasites with a comprehensive database of genome-scale metabolic models.

Authors:  Maureen A Carey; Gregory L Medlock; Michał Stolarczyk; William A Petri; Jennifer L Guler; Jason A Papin
Journal:  PLoS Comput Biol       Date:  2022-02-23       Impact factor: 4.475

  8 in total

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