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dc.contributor.authorRaghunathan, Anu
dc.contributor.authorPrice, Nathan D.
dc.contributor.authorGalperin, Michael Y.
dc.contributor.authorMakarova, Kira S.
dc.contributor.authorPurvine, Samuel
dc.contributor.authorPicone, Alex F.
dc.contributor.authorCherny, Tim
dc.contributor.authorXie, Tao
dc.contributor.authorReilly, Thomas J.
dc.contributor.authorMunson, Robert S.
dc.contributor.authorTyler, Ryan E.
dc.contributor.authorAkerley, Brian J.
dc.contributor.authorSmith, Arnold L.
dc.contributor.authorPalsson, Bernhard O.
dc.contributor.authorKolker, Eugene
dc.date2022-08-11T08:09:25.000
dc.date.accessioned2022-08-23T16:29:54Z
dc.date.available2022-08-23T16:29:54Z
dc.date.issued2004-04-27
dc.date.submitted2010-02-01
dc.identifier.citationOMICS. 2004 Spring;8(1):25-41. <a href="http://dx.doi.org/10.1089/153623104773547471">Link to article on publisher's site</a>
dc.identifier.issn1536-2310 (Print)
dc.identifier.doi10.1089/153623104773547471
dc.identifier.urihttp://hdl.handle.net/20.500.14038/37354
dc.description.abstractThe 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.
dc.language.isoen_US
dc.relation<a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=15107235&dopt=Abstract">Link to Article in PubMed</a>
dc.relation.urlhttp://dx.doi.org/10.1089/153623104773547471
dc.subjectBiochemistry
dc.subjectCarbohydrate Metabolism
dc.subjectCarbon
dc.subjectCell Division
dc.subjectCulture Media
dc.subjectDNA Mutational Analysis
dc.subjectElectron Transport
dc.subjectElectrons
dc.subjectEscherichia coli
dc.subjectFermentation
dc.subjectHaemophilus influenzae
dc.subjectModels, Biological
dc.subjectModels, Theoretical
dc.subjectOxygen
dc.subjectProtein Array Analysis
dc.subjectProteome
dc.subjectProteomics
dc.subjectTricarboxylic Acids
dc.subjectMicrobiology
dc.subjectMolecular Genetics
dc.titleIn Silico Metabolic Model and Protein Expression of Haemophilus influenzae Strain Rd KW20 in Rich Medium
dc.typeJournal Article
dc.source.journaltitleOmics : a journal of integrative biology
dc.source.volume8
dc.source.issue1
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/mgm_pp/19
dc.identifier.contextkey1127078
html.description.abstract<p>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.</p>
dc.identifier.submissionpathmgm_pp/19
dc.contributor.departmentDepartment of Molecular Genetics and Microbiology
dc.source.pages25-41


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