Glucose-methanol co-utilization in Pichia pastoris studied by metabolomics and instationary 13C flux analysis View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2013-12

AUTHORS

Joel Jordà, Camilo Suarez, Marc Carnicer, Angela ten Pierick, Joseph J Heijnen, Walter van Gulik, Pau Ferrer, Joan Albiol, Aljoscha Wahl

ABSTRACT

BACKGROUND: Several studies have shown that the utilization of mixed carbon feeds instead of methanol as sole carbon source is beneficial for protein production with the methylotrophic yeast Pichia pastoris. In particular, growth under mixed feed conditions appears to alleviate the metabolic burden related to stress responses triggered by protein overproduction and secretion. Yet, detailed analysis of the metabolome and fluxome under mixed carbon source metabolizing conditions are missing. To obtain a detailed flux distribution of central carbon metabolism, including the pentose phosphate pathway under methanol-glucose conditions, we have applied metabolomics and instationary ¹³C flux analysis in chemostat cultivations. RESULTS: Instationary ¹³C-based metabolic flux analysis using GC-MS and LC-MS measurements in time allowed for an accurate mapping of metabolic fluxes of glycolysis, pentose phosphate and methanol assimilation pathways. Compared to previous results from NMR-derived stationary state labelling data (proteinogenic amino acids, METAFoR) more fluxes could be determined with higher accuracy. Furthermore, using a thermodynamic metabolic network analysis the metabolite measurements and metabolic flux directions were validated. Notably, the concentration of several metabolites of the upper glycolysis and pentose phosphate pathway increased under glucose-methanol feeding compared to the reference glucose conditions, indicating a shift in the thermodynamic driving forces. Conversely, the extracellular concentrations of all measured metabolites were lower compared with the corresponding exometabolome of glucose-grown P. pastoris cells.The instationary ¹³C flux analysis resulted in fluxes comparable to previously obtained from NMR datasets of proteinogenic amino acids, but allowed several additional insights. Specifically, i) in vivo metabolic flux estimations were expanded to a larger metabolic network e.g. by including trehalose recycling, which accounted for about 1.5% of the glucose uptake rate; ii) the reversibility of glycolytic/gluconeogenesis, TCA cycle and pentose phosphate pathways reactions was estimated, revealing a significant gluconeogenic flux from the dihydroxyacetone phosphate/glyceraldehydes phosphate pool to glucose-6P. The origin of this finding could be carbon recycling from the methanol assimilatory pathway to the pentose phosphate pool. Additionally, high exchange fluxes of oxaloacetate with aspartate as well as malate indicated amino acid pool buffering and the activity of the malate/Asp shuttle; iii) the ratio of methanol oxidation vs utilization appeared to be lower (54 vs 79% assimilated methanol directly oxidized to CO₂). CONCLUSIONS: In summary, the application of instationary ¹³C-based metabolic flux analysis to P. pastoris provides an experimental framework with improved capabilities to explore the regulation of the carbon and energy metabolism of this yeast, particularly for the case of methanol and multicarbon source metabolism. More... »

PAGES

17

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1752-0509-7-17

DOI

http://dx.doi.org/10.1186/1752-0509-7-17

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1016167808

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/23448228


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0601", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biochemistry and Cell Biology", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biological Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Carbon", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Carbon Isotopes", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Chromatography, Liquid", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Gas Chromatography-Mass Spectrometry", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Glucose", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Metabolomics", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Methanol", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Pentose Phosphate Pathway", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Pichia", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Thermodynamics", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Autonomous University of Barcelona", 
          "id": "https://www.grid.ac/institutes/grid.7080.f", 
          "name": [
            "Department of Chemical Engineering, Escola d\u2019Enginyeria, Universitat Aut\u00f2noma de Barcelona, Bellaterra, Cerdanyola del Vall\u00e8s, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jord\u00e0", 
        "givenName": "Joel", 
        "id": "sg:person.0722327155.41", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0722327155.41"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Delft University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.5292.c", 
          "name": [
            "Department of Biotechnology, Kluyver Centre for Genomics of Industrial Fermentation, Delft University of Technology, Delft, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Suarez", 
        "givenName": "Camilo", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Autonomous University of Barcelona", 
          "id": "https://www.grid.ac/institutes/grid.7080.f", 
          "name": [
            "Department of Chemical Engineering, Escola d\u2019Enginyeria, Universitat Aut\u00f2noma de Barcelona, Bellaterra, Cerdanyola del Vall\u00e8s, Spain", 
            "Laboratoire Ing\u00e9nierie des Syst\u00e8mes Biologiques et des proc\u00e9d\u00e9s, INSA, Toulouse, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Carnicer", 
        "givenName": "Marc", 
        "id": "sg:person.01344243236.08", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01344243236.08"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Delft University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.5292.c", 
          "name": [
            "Department of Biotechnology, Kluyver Centre for Genomics of Industrial Fermentation, Delft University of Technology, Delft, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "ten Pierick", 
        "givenName": "Angela", 
        "id": "sg:person.014365307521.67", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014365307521.67"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Delft University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.5292.c", 
          "name": [
            "Department of Biotechnology, Kluyver Centre for Genomics of Industrial Fermentation, Delft University of Technology, Delft, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Heijnen", 
        "givenName": "Joseph J", 
        "id": "sg:person.01026476151.36", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01026476151.36"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Delft University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.5292.c", 
          "name": [
            "Department of Biotechnology, Kluyver Centre for Genomics of Industrial Fermentation, Delft University of Technology, Delft, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "van Gulik", 
        "givenName": "Walter", 
        "id": "sg:person.0615715153.53", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0615715153.53"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Autonomous University of Barcelona", 
          "id": "https://www.grid.ac/institutes/grid.7080.f", 
          "name": [
            "Department of Chemical Engineering, Escola d\u2019Enginyeria, Universitat Aut\u00f2noma de Barcelona, Bellaterra, Cerdanyola del Vall\u00e8s, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ferrer", 
        "givenName": "Pau", 
        "id": "sg:person.0740255046.01", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0740255046.01"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Autonomous University of Barcelona", 
          "id": "https://www.grid.ac/institutes/grid.7080.f", 
          "name": [
            "Department of Chemical Engineering, Escola d\u2019Enginyeria, Universitat Aut\u00f2noma de Barcelona, Bellaterra, Cerdanyola del Vall\u00e8s, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Albiol", 
        "givenName": "Joan", 
        "id": "sg:person.01256611612.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01256611612.24"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Delft University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.5292.c", 
          "name": [
            "Department of Biotechnology, Kluyver Centre for Genomics of Industrial Fermentation, Delft University of Technology, Delft, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wahl", 
        "givenName": "Aljoscha", 
        "id": "sg:person.01117427336.79", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01117427336.79"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/bf00430373", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000377191", 
          "https://doi.org/10.1007/bf00430373"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nbt.1544", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003542206", 
          "https://doi.org/10.1038/nbt.1544"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nbt.1544", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003542206", 
          "https://doi.org/10.1038/nbt.1544"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ymben.2006.05.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003545522"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/biot.201000078", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004201090"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bit.10909", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004942481"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bit.20842", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005802271"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bit.20842", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005802271"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1097-0290(19960120)49:2<111::aid-bit1>3.0.co;2-t", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005937734"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1096/fj.08-127985", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007225667"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0141-0229(98)00012-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008246000"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1389-1723(01)80321-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008352343"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bit.21763", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009441055"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ymben.2009.08.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011731898"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1475-2859-8-46", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012156614", 
          "https://doi.org/10.1186/1475-2859-8-46"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bit.22786", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012451433"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bit.22786", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012451433"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1038/msb4100074", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013781431"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1038/msb4100074", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013781431"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ab.2004.09.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014791307"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2105-9-199", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014852472", 
          "https://doi.org/10.1186/1471-2105-9-199"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bit.260250906", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015035643"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.enzmictec.2010.01.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015843360"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bbagen.2011.03.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017234837"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ymben.2010.08.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017246944"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bit.20036", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020868710"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1038/msb4100109", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021019547"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1038/msb4100109", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021019547"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1432-1033.1995.433zz.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022043062"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac900999t", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022299191"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac900999t", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022299191"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1201/9781439802977.ch8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022615628"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00253-011-3654-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023426312", 
          "https://doi.org/10.1007/s00253-011-3654-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1752-0509-6-24", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023810904", 
          "https://doi.org/10.1186/1752-0509-6-24"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bit.21813", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024911140"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1475-2859-11-57", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024936685", 
          "https://doi.org/10.1186/1475-2859-11-57"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/aem.01787-10", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025092785"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bit.260430103", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025145521"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bit.10907", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025419337"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jbiotec.2010.07.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027977639"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ymben.2011.02.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028145282"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1742-4658.2005.04907.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028762427"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1742-4658.2005.04907.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028762427"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1475-2859-9-50", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029971124", 
          "https://doi.org/10.1186/1475-2859-9-50"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0025-5564(00)00059-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030062425"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jbiotec.2007.05.019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031265305"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1475-2859-8-65", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032480689", 
          "https://doi.org/10.1186/1475-2859-8-65"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1475-2859-9-24", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032708701", 
          "https://doi.org/10.1186/1475-2859-9-24"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.femsyr.2004.09.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034668930"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-61779-433-9_17", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035562873", 
          "https://doi.org/10.1007/978-1-61779-433-9_17"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1432-1033.2003.03448.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035855874"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bit.22836", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036342061"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bit.22836", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036342061"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1752-0509-4-141", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038160348", 
          "https://doi.org/10.1186/1752-0509-4-141"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ymben.2011.11.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038792250"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1475-2859-5-39", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039458422", 
          "https://doi.org/10.1186/1475-2859-5-39"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bit.10048", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041691954"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2105-7-512", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044047301", 
          "https://doi.org/10.1186/1471-2105-7-512"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1475-2859-5-17", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044493152", 
          "https://doi.org/10.1186/1475-2859-5-17"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1475-2859-11-140", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044604587", 
          "https://doi.org/10.1186/1475-2859-11-140"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1432-1033.2004.04176.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045211412"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/mben.1999.0114", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046454392"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1567-1364.2008.00465.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047057721"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1042/bj2800475", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047352464"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1042/bj2800475", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047352464"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jbiotec.2007.02.025", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051200435"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11306-011-0308-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051260607", 
          "https://doi.org/10.1007/s11306-011-0308-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1574-6976.2001.tb00570.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051808400"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bfb0102334", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052639924", 
          "https://doi.org/10.1007/bfb0102334"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bit.20803", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052746461"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bit.20803", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052746461"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nbt0893-905", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053426631", 
          "https://doi.org/10.1038/nbt0893-905"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1475-2859-8-29", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053728217", 
          "https://doi.org/10.1186/1475-2859-8-29"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/pr8007623", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056294620"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1099/mic.0.29263-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060397886"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2174/187220809789389126", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069223738"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2013-12", 
    "datePublishedReg": "2013-12-01", 
    "description": "BACKGROUND: Several studies have shown that the utilization of mixed carbon feeds instead of methanol as sole carbon source is beneficial for protein production with the methylotrophic yeast Pichia pastoris. In particular, growth under mixed feed conditions appears to alleviate the metabolic burden related to stress responses triggered by protein overproduction and secretion. Yet, detailed analysis of the metabolome and fluxome under mixed carbon source metabolizing conditions are missing. To obtain a detailed flux distribution of central carbon metabolism, including the pentose phosphate pathway under methanol-glucose conditions, we have applied metabolomics and instationary \u00b9\u00b3C flux analysis in chemostat cultivations.\nRESULTS: Instationary \u00b9\u00b3C-based metabolic flux analysis using GC-MS and LC-MS measurements in time allowed for an accurate mapping of metabolic fluxes of glycolysis, pentose phosphate and methanol assimilation pathways. Compared to previous results from NMR-derived stationary state labelling data (proteinogenic amino acids, METAFoR) more fluxes could be determined with higher accuracy. Furthermore, using a thermodynamic metabolic network analysis the metabolite measurements and metabolic flux directions were validated. Notably, the concentration of several metabolites of the upper glycolysis and pentose phosphate pathway increased under glucose-methanol feeding compared to the reference glucose conditions, indicating a shift in the thermodynamic driving forces. Conversely, the extracellular concentrations of all measured metabolites were lower compared with the corresponding exometabolome of glucose-grown P. pastoris cells.The instationary \u00b9\u00b3C flux analysis resulted in fluxes comparable to previously obtained from NMR datasets of proteinogenic amino acids, but allowed several additional insights. Specifically, i) in vivo metabolic flux estimations were expanded to a larger metabolic network e.g. by including trehalose recycling, which accounted for about 1.5% of the glucose uptake rate; ii) the reversibility of glycolytic/gluconeogenesis, TCA cycle and pentose phosphate pathways reactions was estimated, revealing a significant gluconeogenic flux from the dihydroxyacetone phosphate/glyceraldehydes phosphate pool to glucose-6P. The origin of this finding could be carbon recycling from the methanol assimilatory pathway to the pentose phosphate pool. Additionally, high exchange fluxes of oxaloacetate with aspartate as well as malate indicated amino acid pool buffering and the activity of the malate/Asp shuttle; iii) the ratio of methanol oxidation vs utilization appeared to be lower (54 vs 79% assimilated methanol directly oxidized to CO\u2082).\nCONCLUSIONS: In summary, the application of instationary \u00b9\u00b3C-based metabolic flux analysis to P. pastoris provides an experimental framework with improved capabilities to explore the regulation of the carbon and energy metabolism of this yeast, particularly for the case of methanol and multicarbon source metabolism.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/1752-0509-7-17", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1327442", 
        "issn": [
          "1752-0509"
        ], 
        "name": "BMC Systems Biology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "7"
      }
    ], 
    "name": "Glucose-methanol co-utilization in Pichia pastoris studied by metabolomics and instationary 13C flux analysis", 
    "pagination": "17", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "4d092fc3041201e39eaaa57f28ca0dfe65306817a502f8deb9ac06742687d59a"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "23448228"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101301827"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/1752-0509-7-17"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1016167808"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/1752-0509-7-17", 
      "https://app.dimensions.ai/details/publication/pub.1016167808"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T18:26", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8675_00000549.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1186%2F1752-0509-7-17"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/1752-0509-7-17'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1752-0509-7-17'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1752-0509-7-17'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1752-0509-7-17'


 

This table displays all metadata directly associated to this object as RDF triples.

385 TRIPLES      21 PREDICATES      105 URIs      31 LITERALS      19 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/1752-0509-7-17 schema:about N0f22c56ea2144a12a84665e39546ab5f
2 N1bcc6753a8d545afbb5618aac7e7adaf
3 N33cad38f628a4b85ba5f8546cbcb67f6
4 N425d9c8c6beb4ca7b36f47cef106ba37
5 N4548ca3364974cbfb62396d7065193cb
6 N6c09c496b7a646aaa5fed619923029f9
7 N7ff03da9b6264c589a758eaa6cf701d4
8 Nb21b7c8cc0da4c02b47b48eb7e8902bc
9 Nba692ddf2c9b46bebf41172a376508d1
10 Nf996a8729456403cbe4b7d8a8a29cd0c
11 anzsrc-for:06
12 anzsrc-for:0601
13 schema:author Ne8300eec917242ac8d3330360d68a1e4
14 schema:citation sg:pub.10.1007/978-1-61779-433-9_17
15 sg:pub.10.1007/bf00430373
16 sg:pub.10.1007/bfb0102334
17 sg:pub.10.1007/s00253-011-3654-z
18 sg:pub.10.1007/s11306-011-0308-1
19 sg:pub.10.1038/nbt.1544
20 sg:pub.10.1038/nbt0893-905
21 sg:pub.10.1186/1471-2105-7-512
22 sg:pub.10.1186/1471-2105-9-199
23 sg:pub.10.1186/1475-2859-11-140
24 sg:pub.10.1186/1475-2859-11-57
25 sg:pub.10.1186/1475-2859-5-17
26 sg:pub.10.1186/1475-2859-5-39
27 sg:pub.10.1186/1475-2859-8-29
28 sg:pub.10.1186/1475-2859-8-46
29 sg:pub.10.1186/1475-2859-8-65
30 sg:pub.10.1186/1475-2859-9-24
31 sg:pub.10.1186/1475-2859-9-50
32 sg:pub.10.1186/1752-0509-4-141
33 sg:pub.10.1186/1752-0509-6-24
34 https://doi.org/10.1002/(sici)1097-0290(19960120)49:2<111::aid-bit1>3.0.co;2-t
35 https://doi.org/10.1002/biot.201000078
36 https://doi.org/10.1002/bit.10048
37 https://doi.org/10.1002/bit.10907
38 https://doi.org/10.1002/bit.10909
39 https://doi.org/10.1002/bit.20036
40 https://doi.org/10.1002/bit.20803
41 https://doi.org/10.1002/bit.20842
42 https://doi.org/10.1002/bit.21763
43 https://doi.org/10.1002/bit.21813
44 https://doi.org/10.1002/bit.22786
45 https://doi.org/10.1002/bit.22836
46 https://doi.org/10.1002/bit.260250906
47 https://doi.org/10.1002/bit.260430103
48 https://doi.org/10.1006/mben.1999.0114
49 https://doi.org/10.1016/j.ab.2004.09.001
50 https://doi.org/10.1016/j.bbagen.2011.03.011
51 https://doi.org/10.1016/j.enzmictec.2010.01.005
52 https://doi.org/10.1016/j.femsyr.2004.09.008
53 https://doi.org/10.1016/j.jbiotec.2007.02.025
54 https://doi.org/10.1016/j.jbiotec.2007.05.019
55 https://doi.org/10.1016/j.jbiotec.2010.07.008
56 https://doi.org/10.1016/j.ymben.2006.05.006
57 https://doi.org/10.1016/j.ymben.2009.08.006
58 https://doi.org/10.1016/j.ymben.2010.08.003
59 https://doi.org/10.1016/j.ymben.2011.02.005
60 https://doi.org/10.1016/j.ymben.2011.11.002
61 https://doi.org/10.1016/s0025-5564(00)00059-6
62 https://doi.org/10.1016/s0141-0229(98)00012-x
63 https://doi.org/10.1016/s1389-1723(01)80321-2
64 https://doi.org/10.1021/ac900999t
65 https://doi.org/10.1021/pr8007623
66 https://doi.org/10.1038/msb4100074
67 https://doi.org/10.1038/msb4100109
68 https://doi.org/10.1042/bj2800475
69 https://doi.org/10.1046/j.1432-1033.2003.03448.x
70 https://doi.org/10.1096/fj.08-127985
71 https://doi.org/10.1099/mic.0.29263-0
72 https://doi.org/10.1111/j.1432-1033.1995.433zz.x
73 https://doi.org/10.1111/j.1432-1033.2004.04176.x
74 https://doi.org/10.1111/j.1567-1364.2008.00465.x
75 https://doi.org/10.1111/j.1574-6976.2001.tb00570.x
76 https://doi.org/10.1111/j.1742-4658.2005.04907.x
77 https://doi.org/10.1128/aem.01787-10
78 https://doi.org/10.1201/9781439802977.ch8
79 https://doi.org/10.2174/187220809789389126
80 schema:datePublished 2013-12
81 schema:datePublishedReg 2013-12-01
82 schema:description BACKGROUND: Several studies have shown that the utilization of mixed carbon feeds instead of methanol as sole carbon source is beneficial for protein production with the methylotrophic yeast Pichia pastoris. In particular, growth under mixed feed conditions appears to alleviate the metabolic burden related to stress responses triggered by protein overproduction and secretion. Yet, detailed analysis of the metabolome and fluxome under mixed carbon source metabolizing conditions are missing. To obtain a detailed flux distribution of central carbon metabolism, including the pentose phosphate pathway under methanol-glucose conditions, we have applied metabolomics and instationary ¹³C flux analysis in chemostat cultivations. RESULTS: Instationary ¹³C-based metabolic flux analysis using GC-MS and LC-MS measurements in time allowed for an accurate mapping of metabolic fluxes of glycolysis, pentose phosphate and methanol assimilation pathways. Compared to previous results from NMR-derived stationary state labelling data (proteinogenic amino acids, METAFoR) more fluxes could be determined with higher accuracy. Furthermore, using a thermodynamic metabolic network analysis the metabolite measurements and metabolic flux directions were validated. Notably, the concentration of several metabolites of the upper glycolysis and pentose phosphate pathway increased under glucose-methanol feeding compared to the reference glucose conditions, indicating a shift in the thermodynamic driving forces. Conversely, the extracellular concentrations of all measured metabolites were lower compared with the corresponding exometabolome of glucose-grown P. pastoris cells.The instationary ¹³C flux analysis resulted in fluxes comparable to previously obtained from NMR datasets of proteinogenic amino acids, but allowed several additional insights. Specifically, i) in vivo metabolic flux estimations were expanded to a larger metabolic network e.g. by including trehalose recycling, which accounted for about 1.5% of the glucose uptake rate; ii) the reversibility of glycolytic/gluconeogenesis, TCA cycle and pentose phosphate pathways reactions was estimated, revealing a significant gluconeogenic flux from the dihydroxyacetone phosphate/glyceraldehydes phosphate pool to glucose-6P. The origin of this finding could be carbon recycling from the methanol assimilatory pathway to the pentose phosphate pool. Additionally, high exchange fluxes of oxaloacetate with aspartate as well as malate indicated amino acid pool buffering and the activity of the malate/Asp shuttle; iii) the ratio of methanol oxidation vs utilization appeared to be lower (54 vs 79% assimilated methanol directly oxidized to CO₂). CONCLUSIONS: In summary, the application of instationary ¹³C-based metabolic flux analysis to P. pastoris provides an experimental framework with improved capabilities to explore the regulation of the carbon and energy metabolism of this yeast, particularly for the case of methanol and multicarbon source metabolism.
83 schema:genre research_article
84 schema:inLanguage en
85 schema:isAccessibleForFree true
86 schema:isPartOf N629ab0c2746c43b0a92170c4b6025bdc
87 N9da6dad0b82b4a3f8206dbe0063e39d7
88 sg:journal.1327442
89 schema:name Glucose-methanol co-utilization in Pichia pastoris studied by metabolomics and instationary 13C flux analysis
90 schema:pagination 17
91 schema:productId N4c3876fc9c884b2a8120da44001cce9b
92 N89d119b50e7a4f77a5cf221e5311e01f
93 Nad51c5cfdfd74bc4a4ce1c7ec9d2aa9b
94 Nd57e8b06f2e9480d8f2d4b69d54b7b81
95 Nd6a2de3f25c34841aacb364eeabb2720
96 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016167808
97 https://doi.org/10.1186/1752-0509-7-17
98 schema:sdDatePublished 2019-04-10T18:26
99 schema:sdLicense https://scigraph.springernature.com/explorer/license/
100 schema:sdPublisher N51d7e21a4d92419fb78999d689abcc40
101 schema:url http://link.springer.com/10.1186%2F1752-0509-7-17
102 sgo:license sg:explorer/license/
103 sgo:sdDataset articles
104 rdf:type schema:ScholarlyArticle
105 N0f22c56ea2144a12a84665e39546ab5f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
106 schema:name Carbon
107 rdf:type schema:DefinedTerm
108 N138559d16f604c34aa192a7e20e97c22 rdf:first sg:person.01344243236.08
109 rdf:rest Ne1a549bddf8a4ab69514d569ea547038
110 N1bcc6753a8d545afbb5618aac7e7adaf schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
111 schema:name Carbon Isotopes
112 rdf:type schema:DefinedTerm
113 N33cad38f628a4b85ba5f8546cbcb67f6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
114 schema:name Metabolomics
115 rdf:type schema:DefinedTerm
116 N425d9c8c6beb4ca7b36f47cef106ba37 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
117 schema:name Glucose
118 rdf:type schema:DefinedTerm
119 N4548ca3364974cbfb62396d7065193cb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
120 schema:name Pichia
121 rdf:type schema:DefinedTerm
122 N4c3876fc9c884b2a8120da44001cce9b schema:name readcube_id
123 schema:value 4d092fc3041201e39eaaa57f28ca0dfe65306817a502f8deb9ac06742687d59a
124 rdf:type schema:PropertyValue
125 N51d7e21a4d92419fb78999d689abcc40 schema:name Springer Nature - SN SciGraph project
126 rdf:type schema:Organization
127 N629ab0c2746c43b0a92170c4b6025bdc schema:volumeNumber 7
128 rdf:type schema:PublicationVolume
129 N6c09c496b7a646aaa5fed619923029f9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
130 schema:name Thermodynamics
131 rdf:type schema:DefinedTerm
132 N6c51bb78196e437da219552a71e25c81 rdf:first sg:person.01256611612.24
133 rdf:rest Nff82d4cebb794101975b480e110c76b7
134 N6ced0316f26d43e0a6514300643884f3 rdf:first sg:person.0615715153.53
135 rdf:rest Na7605c3d3d45493abc169d2bf559dcf2
136 N7ff03da9b6264c589a758eaa6cf701d4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
137 schema:name Gas Chromatography-Mass Spectrometry
138 rdf:type schema:DefinedTerm
139 N89d119b50e7a4f77a5cf221e5311e01f schema:name doi
140 schema:value 10.1186/1752-0509-7-17
141 rdf:type schema:PropertyValue
142 N9da6dad0b82b4a3f8206dbe0063e39d7 schema:issueNumber 1
143 rdf:type schema:PublicationIssue
144 Na7605c3d3d45493abc169d2bf559dcf2 rdf:first sg:person.0740255046.01
145 rdf:rest N6c51bb78196e437da219552a71e25c81
146 Na7f8ba97a64641e592771838f1a0587c rdf:first Nf008ddbc53e04648b09e8454096770f4
147 rdf:rest N138559d16f604c34aa192a7e20e97c22
148 Nad51c5cfdfd74bc4a4ce1c7ec9d2aa9b schema:name dimensions_id
149 schema:value pub.1016167808
150 rdf:type schema:PropertyValue
151 Nb1e1926cb0ae49a990ce6adc100e3750 rdf:first sg:person.01026476151.36
152 rdf:rest N6ced0316f26d43e0a6514300643884f3
153 Nb21b7c8cc0da4c02b47b48eb7e8902bc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
154 schema:name Methanol
155 rdf:type schema:DefinedTerm
156 Nba692ddf2c9b46bebf41172a376508d1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
157 schema:name Chromatography, Liquid
158 rdf:type schema:DefinedTerm
159 Nd57e8b06f2e9480d8f2d4b69d54b7b81 schema:name pubmed_id
160 schema:value 23448228
161 rdf:type schema:PropertyValue
162 Nd6a2de3f25c34841aacb364eeabb2720 schema:name nlm_unique_id
163 schema:value 101301827
164 rdf:type schema:PropertyValue
165 Ne1a549bddf8a4ab69514d569ea547038 rdf:first sg:person.014365307521.67
166 rdf:rest Nb1e1926cb0ae49a990ce6adc100e3750
167 Ne8300eec917242ac8d3330360d68a1e4 rdf:first sg:person.0722327155.41
168 rdf:rest Na7f8ba97a64641e592771838f1a0587c
169 Nf008ddbc53e04648b09e8454096770f4 schema:affiliation https://www.grid.ac/institutes/grid.5292.c
170 schema:familyName Suarez
171 schema:givenName Camilo
172 rdf:type schema:Person
173 Nf996a8729456403cbe4b7d8a8a29cd0c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
174 schema:name Pentose Phosphate Pathway
175 rdf:type schema:DefinedTerm
176 Nff82d4cebb794101975b480e110c76b7 rdf:first sg:person.01117427336.79
177 rdf:rest rdf:nil
178 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
179 schema:name Biological Sciences
180 rdf:type schema:DefinedTerm
181 anzsrc-for:0601 schema:inDefinedTermSet anzsrc-for:
182 schema:name Biochemistry and Cell Biology
183 rdf:type schema:DefinedTerm
184 sg:journal.1327442 schema:issn 1752-0509
185 schema:name BMC Systems Biology
186 rdf:type schema:Periodical
187 sg:person.01026476151.36 schema:affiliation https://www.grid.ac/institutes/grid.5292.c
188 schema:familyName Heijnen
189 schema:givenName Joseph J
190 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01026476151.36
191 rdf:type schema:Person
192 sg:person.01117427336.79 schema:affiliation https://www.grid.ac/institutes/grid.5292.c
193 schema:familyName Wahl
194 schema:givenName Aljoscha
195 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01117427336.79
196 rdf:type schema:Person
197 sg:person.01256611612.24 schema:affiliation https://www.grid.ac/institutes/grid.7080.f
198 schema:familyName Albiol
199 schema:givenName Joan
200 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01256611612.24
201 rdf:type schema:Person
202 sg:person.01344243236.08 schema:affiliation https://www.grid.ac/institutes/grid.7080.f
203 schema:familyName Carnicer
204 schema:givenName Marc
205 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01344243236.08
206 rdf:type schema:Person
207 sg:person.014365307521.67 schema:affiliation https://www.grid.ac/institutes/grid.5292.c
208 schema:familyName ten Pierick
209 schema:givenName Angela
210 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014365307521.67
211 rdf:type schema:Person
212 sg:person.0615715153.53 schema:affiliation https://www.grid.ac/institutes/grid.5292.c
213 schema:familyName van Gulik
214 schema:givenName Walter
215 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0615715153.53
216 rdf:type schema:Person
217 sg:person.0722327155.41 schema:affiliation https://www.grid.ac/institutes/grid.7080.f
218 schema:familyName Jordà
219 schema:givenName Joel
220 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0722327155.41
221 rdf:type schema:Person
222 sg:person.0740255046.01 schema:affiliation https://www.grid.ac/institutes/grid.7080.f
223 schema:familyName Ferrer
224 schema:givenName Pau
225 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0740255046.01
226 rdf:type schema:Person
227 sg:pub.10.1007/978-1-61779-433-9_17 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035562873
228 https://doi.org/10.1007/978-1-61779-433-9_17
229 rdf:type schema:CreativeWork
230 sg:pub.10.1007/bf00430373 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000377191
231 https://doi.org/10.1007/bf00430373
232 rdf:type schema:CreativeWork
233 sg:pub.10.1007/bfb0102334 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052639924
234 https://doi.org/10.1007/bfb0102334
235 rdf:type schema:CreativeWork
236 sg:pub.10.1007/s00253-011-3654-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1023426312
237 https://doi.org/10.1007/s00253-011-3654-z
238 rdf:type schema:CreativeWork
239 sg:pub.10.1007/s11306-011-0308-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051260607
240 https://doi.org/10.1007/s11306-011-0308-1
241 rdf:type schema:CreativeWork
242 sg:pub.10.1038/nbt.1544 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003542206
243 https://doi.org/10.1038/nbt.1544
244 rdf:type schema:CreativeWork
245 sg:pub.10.1038/nbt0893-905 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053426631
246 https://doi.org/10.1038/nbt0893-905
247 rdf:type schema:CreativeWork
248 sg:pub.10.1186/1471-2105-7-512 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044047301
249 https://doi.org/10.1186/1471-2105-7-512
250 rdf:type schema:CreativeWork
251 sg:pub.10.1186/1471-2105-9-199 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014852472
252 https://doi.org/10.1186/1471-2105-9-199
253 rdf:type schema:CreativeWork
254 sg:pub.10.1186/1475-2859-11-140 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044604587
255 https://doi.org/10.1186/1475-2859-11-140
256 rdf:type schema:CreativeWork
257 sg:pub.10.1186/1475-2859-11-57 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024936685
258 https://doi.org/10.1186/1475-2859-11-57
259 rdf:type schema:CreativeWork
260 sg:pub.10.1186/1475-2859-5-17 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044493152
261 https://doi.org/10.1186/1475-2859-5-17
262 rdf:type schema:CreativeWork
263 sg:pub.10.1186/1475-2859-5-39 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039458422
264 https://doi.org/10.1186/1475-2859-5-39
265 rdf:type schema:CreativeWork
266 sg:pub.10.1186/1475-2859-8-29 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053728217
267 https://doi.org/10.1186/1475-2859-8-29
268 rdf:type schema:CreativeWork
269 sg:pub.10.1186/1475-2859-8-46 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012156614
270 https://doi.org/10.1186/1475-2859-8-46
271 rdf:type schema:CreativeWork
272 sg:pub.10.1186/1475-2859-8-65 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032480689
273 https://doi.org/10.1186/1475-2859-8-65
274 rdf:type schema:CreativeWork
275 sg:pub.10.1186/1475-2859-9-24 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032708701
276 https://doi.org/10.1186/1475-2859-9-24
277 rdf:type schema:CreativeWork
278 sg:pub.10.1186/1475-2859-9-50 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029971124
279 https://doi.org/10.1186/1475-2859-9-50
280 rdf:type schema:CreativeWork
281 sg:pub.10.1186/1752-0509-4-141 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038160348
282 https://doi.org/10.1186/1752-0509-4-141
283 rdf:type schema:CreativeWork
284 sg:pub.10.1186/1752-0509-6-24 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023810904
285 https://doi.org/10.1186/1752-0509-6-24
286 rdf:type schema:CreativeWork
287 https://doi.org/10.1002/(sici)1097-0290(19960120)49:2<111::aid-bit1>3.0.co;2-t schema:sameAs https://app.dimensions.ai/details/publication/pub.1005937734
288 rdf:type schema:CreativeWork
289 https://doi.org/10.1002/biot.201000078 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004201090
290 rdf:type schema:CreativeWork
291 https://doi.org/10.1002/bit.10048 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041691954
292 rdf:type schema:CreativeWork
293 https://doi.org/10.1002/bit.10907 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025419337
294 rdf:type schema:CreativeWork
295 https://doi.org/10.1002/bit.10909 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004942481
296 rdf:type schema:CreativeWork
297 https://doi.org/10.1002/bit.20036 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020868710
298 rdf:type schema:CreativeWork
299 https://doi.org/10.1002/bit.20803 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052746461
300 rdf:type schema:CreativeWork
301 https://doi.org/10.1002/bit.20842 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005802271
302 rdf:type schema:CreativeWork
303 https://doi.org/10.1002/bit.21763 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009441055
304 rdf:type schema:CreativeWork
305 https://doi.org/10.1002/bit.21813 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024911140
306 rdf:type schema:CreativeWork
307 https://doi.org/10.1002/bit.22786 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012451433
308 rdf:type schema:CreativeWork
309 https://doi.org/10.1002/bit.22836 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036342061
310 rdf:type schema:CreativeWork
311 https://doi.org/10.1002/bit.260250906 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015035643
312 rdf:type schema:CreativeWork
313 https://doi.org/10.1002/bit.260430103 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025145521
314 rdf:type schema:CreativeWork
315 https://doi.org/10.1006/mben.1999.0114 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046454392
316 rdf:type schema:CreativeWork
317 https://doi.org/10.1016/j.ab.2004.09.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014791307
318 rdf:type schema:CreativeWork
319 https://doi.org/10.1016/j.bbagen.2011.03.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017234837
320 rdf:type schema:CreativeWork
321 https://doi.org/10.1016/j.enzmictec.2010.01.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015843360
322 rdf:type schema:CreativeWork
323 https://doi.org/10.1016/j.femsyr.2004.09.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034668930
324 rdf:type schema:CreativeWork
325 https://doi.org/10.1016/j.jbiotec.2007.02.025 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051200435
326 rdf:type schema:CreativeWork
327 https://doi.org/10.1016/j.jbiotec.2007.05.019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031265305
328 rdf:type schema:CreativeWork
329 https://doi.org/10.1016/j.jbiotec.2010.07.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027977639
330 rdf:type schema:CreativeWork
331 https://doi.org/10.1016/j.ymben.2006.05.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003545522
332 rdf:type schema:CreativeWork
333 https://doi.org/10.1016/j.ymben.2009.08.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011731898
334 rdf:type schema:CreativeWork
335 https://doi.org/10.1016/j.ymben.2010.08.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017246944
336 rdf:type schema:CreativeWork
337 https://doi.org/10.1016/j.ymben.2011.02.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028145282
338 rdf:type schema:CreativeWork
339 https://doi.org/10.1016/j.ymben.2011.11.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038792250
340 rdf:type schema:CreativeWork
341 https://doi.org/10.1016/s0025-5564(00)00059-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030062425
342 rdf:type schema:CreativeWork
343 https://doi.org/10.1016/s0141-0229(98)00012-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1008246000
344 rdf:type schema:CreativeWork
345 https://doi.org/10.1016/s1389-1723(01)80321-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008352343
346 rdf:type schema:CreativeWork
347 https://doi.org/10.1021/ac900999t schema:sameAs https://app.dimensions.ai/details/publication/pub.1022299191
348 rdf:type schema:CreativeWork
349 https://doi.org/10.1021/pr8007623 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056294620
350 rdf:type schema:CreativeWork
351 https://doi.org/10.1038/msb4100074 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013781431
352 rdf:type schema:CreativeWork
353 https://doi.org/10.1038/msb4100109 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021019547
354 rdf:type schema:CreativeWork
355 https://doi.org/10.1042/bj2800475 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047352464
356 rdf:type schema:CreativeWork
357 https://doi.org/10.1046/j.1432-1033.2003.03448.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1035855874
358 rdf:type schema:CreativeWork
359 https://doi.org/10.1096/fj.08-127985 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007225667
360 rdf:type schema:CreativeWork
361 https://doi.org/10.1099/mic.0.29263-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060397886
362 rdf:type schema:CreativeWork
363 https://doi.org/10.1111/j.1432-1033.1995.433zz.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1022043062
364 rdf:type schema:CreativeWork
365 https://doi.org/10.1111/j.1432-1033.2004.04176.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1045211412
366 rdf:type schema:CreativeWork
367 https://doi.org/10.1111/j.1567-1364.2008.00465.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1047057721
368 rdf:type schema:CreativeWork
369 https://doi.org/10.1111/j.1574-6976.2001.tb00570.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1051808400
370 rdf:type schema:CreativeWork
371 https://doi.org/10.1111/j.1742-4658.2005.04907.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1028762427
372 rdf:type schema:CreativeWork
373 https://doi.org/10.1128/aem.01787-10 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025092785
374 rdf:type schema:CreativeWork
375 https://doi.org/10.1201/9781439802977.ch8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022615628
376 rdf:type schema:CreativeWork
377 https://doi.org/10.2174/187220809789389126 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069223738
378 rdf:type schema:CreativeWork
379 https://www.grid.ac/institutes/grid.5292.c schema:alternateName Delft University of Technology
380 schema:name Department of Biotechnology, Kluyver Centre for Genomics of Industrial Fermentation, Delft University of Technology, Delft, The Netherlands
381 rdf:type schema:Organization
382 https://www.grid.ac/institutes/grid.7080.f schema:alternateName Autonomous University of Barcelona
383 schema:name Department of Chemical Engineering, Escola d’Enginyeria, Universitat Autònoma de Barcelona, Bellaterra, Cerdanyola del Vallès, Spain
384 Laboratoire Ingénierie des Systèmes Biologiques et des procédés, INSA, Toulouse, France
385 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...