Literature DB >> 15107235

In Silico Metabolic Model and Protein Expression of Haemophilus influenzae Strain Rd KW20 in Rich Medium.

Anu Raghunathan1, Nathan D Price, Michael Y Galperin, Kira S Makarova, Samuel Purvine, Alex F Picone, Tim Cherny, Tao Xie, Thomas J Reilly, Robert Munson, Ryan E Tyler, Brian J Akerley, Arnold L Smith, Bernhard O Palsson, Eugene Kolker.   

Abstract

The intermediary metabolism of Haemophilus influenzae strain Rd KW20 was studied by a combination of protein expression analysis using a recently developed direct proteomics approach, mutational analysis, and mathematical modeling. Special emphasis was placed on carbon utilization, sugar fermentation, TCA cycle, and electron transport of H. influenzae cells grown microaerobically and anaerobically in a rich medium. The data indicate that several H. influenzae metabolic proteins similar to Escherichia coli proteins, known to be regulated by low concentrations of oxygen, were well expressed in both growth conditions in H. influenzae. An in silico model of the H. influenzae metabolic network was used to study the effects of selective deletion of certain enzymatic steps. This allowed us to define proteins predicted to be essential or non-essential for cell growth and to address numerous unresolved questions about intermediary metabolism of H. influenzae. Comparison of data from in vivo protein expression with the protein list associated with a genome-scale metabolic model showed significant coverage of the known metabolic proteome. This study demonstrates the significance of an integrated approach to the characterization of H. influenzae metabolism.

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Year:  2004        PMID: 15107235     DOI: 10.1089/153623104773547471

Source DB:  PubMed          Journal:  OMICS        ISSN: 1536-2310


  19 in total

1.  Deep epistasis in human metabolism.

Authors:  Marcin Imielinski; Calin Belta
Journal:  Chaos       Date:  2010-06       Impact factor: 3.642

Review 2.  NAD+ utilization in Pasteurellaceae: simplification of a complex pathway.

Authors:  Gabriele Gerlach; Joachim Reidl
Journal:  J Bacteriol       Date:  2006-10       Impact factor: 3.490

3.  Proteomic expression profiling of Haemophilus influenzae grown in pooled human sputum from adults with chronic obstructive pulmonary disease reveal antioxidant and stress responses.

Authors:  Jun Qu; Alan J Lesse; Aimee L Brauer; Jin Cao; Steven R Gill; Timothy F Murphy
Journal:  BMC Microbiol       Date:  2010-06-01       Impact factor: 3.605

Review 4.  Accomplishments in genome-scale in silico modeling for industrial and medical biotechnology.

Authors:  Caroline B Milne; Pan-Jun Kim; James A Eddy; Nathan D Price
Journal:  Biotechnol J       Date:  2009-12       Impact factor: 4.677

5.  Identification and functional analysis of 'hypothetical' genes expressed in Haemophilus influenzae.

Authors:  Eugene Kolker; Kira S Makarova; Svetlana Shabalina; Alex F Picone; Samuel Purvine; Ted Holzman; Tim Cherny; David Armbruster; Robert S Munson; Grigory Kolesov; Dmitrij Frishman; Michael Y Galperin
Journal:  Nucleic Acids Res       Date:  2004-04-30       Impact factor: 16.971

6.  Systematic analysis of conservation relations in Escherichia coli genome-scale metabolic network reveals novel growth media.

Authors:  Marcin Imielinski; Calin Belta; Harvey Rubin; Adam Halász
Journal:  Biophys J       Date:  2006-02-03       Impact factor: 4.033

7.  Metabolic analysis of Moraxella catarrhalis and the effect of selected in vitro growth conditions on global gene expression.

Authors:  Wei Wang; Larry Reitzer; David A Rasko; Melanie M Pearson; Robert J Blick; Cassie Laurence; Eric J Hansen
Journal:  Infect Immun       Date:  2007-07-09       Impact factor: 3.441

8.  Quantifying protein function specificity in the gene ontology.

Authors:  Brenton Louie; Silas Bergen; Roger Higdon; Eugene Kolker
Journal:  Stand Genomic Sci       Date:  2010-03-30

9.  A statistical model of protein sequence similarity and function similarity reveals overly-specific function predictions.

Authors:  Brenton Louie; Roger Higdon; Eugene Kolker
Journal:  PLoS One       Date:  2009-10-21       Impact factor: 3.240

10.  A glutathione-based system for defense against carbonyl stress in Haemophilus influenzae.

Authors:  Stephen P Kidd; Donald Jiang; Alexandra Tikhomirova; Michael P Jennings; Alastair G McEwan
Journal:  BMC Microbiol       Date:  2012-07-31       Impact factor: 3.605

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