Proteomic insights into metabolic adaptation to deletion of metE in Saccharopolyspora spinosa View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2015-10

AUTHORS

Qi Yang, Yunlong Li, Huijun Yang, Jie Rang, Sijia Tang, Lian He, Li Li, Xuezhi Ding, Liqiu Xia

ABSTRACT

Saccharopolyspora spinosa can produce spinosad as a major secondary metabolite, which is an environmentally friendly agent for insect control. Cobalamin-independent methionine synthase (MetE) is an important enzyme in methionine biosynthesis, and this enzyme is probably closely related to spinosad production. In this study, its corresponding gene metE was inactivated, which resulted in a rapid growth and glucose utilisation rate and almost loss of spinosad production. A label-free quantitative proteomics-based approach was employed to obtain insights into the mechanism by which the metabolic network adapts to the absence of MetE. A total of 1440 proteins were detected from wild-type and ΔmetE mutant strains at three time points: stationary phase of ΔmetE mutant strain (S1ΔmetE , 67 h), first stationary phase of wild-type strain (S1WT, 67 h) and second stationary phase of wild-type strain (S2WT, 100 h). Protein expression patterns were determined using an exponentially modified protein abundance index (emPAI) and analysed by comparing S1ΔmetE /S1WT and S1ΔmetE /S2WT. Results showed that differentially expressed enzymes were mainly involved in primary metabolism and genetic information processing. This study demonstrated that the role of MetE is not restricted to methionine biosynthesis but rather is involved in global metabolic regulation in S. spinosa. More... »

PAGES

8629-8641

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00253-015-6883-8

DOI

http://dx.doi.org/10.1007/s00253-015-6883-8

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1026547007

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/26266753


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": "5-Methyltetrahydrofolate-Homocysteine S-Methyltransferase", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Drug Combinations", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Gene Deletion", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Gene Regulatory Networks", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Glucose", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Macrolides", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Metabolic Networks and Pathways", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Proteome", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Saccharopolyspora", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Hunan Normal University", 
          "id": "https://www.grid.ac/institutes/grid.411427.5", 
          "name": [
            "Hunan Provincial Key Laboratory of Microbial Molecular Biology-State Key Laboratory Breeding Base of Microbial Molecular Biology, College of Life Science, Hunan Normal University, 410081, Changsha, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yang", 
        "givenName": "Qi", 
        "id": "sg:person.0646221737.82", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0646221737.82"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hunan Normal University", 
          "id": "https://www.grid.ac/institutes/grid.411427.5", 
          "name": [
            "Hunan Provincial Key Laboratory of Microbial Molecular Biology-State Key Laboratory Breeding Base of Microbial Molecular Biology, College of Life Science, Hunan Normal University, 410081, Changsha, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Li", 
        "givenName": "Yunlong", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hunan Normal University", 
          "id": "https://www.grid.ac/institutes/grid.411427.5", 
          "name": [
            "Hunan Provincial Key Laboratory of Microbial Molecular Biology-State Key Laboratory Breeding Base of Microbial Molecular Biology, College of Life Science, Hunan Normal University, 410081, Changsha, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yang", 
        "givenName": "Huijun", 
        "id": "sg:person.01310045723.36", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01310045723.36"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hunan Normal University", 
          "id": "https://www.grid.ac/institutes/grid.411427.5", 
          "name": [
            "Hunan Provincial Key Laboratory of Microbial Molecular Biology-State Key Laboratory Breeding Base of Microbial Molecular Biology, College of Life Science, Hunan Normal University, 410081, Changsha, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rang", 
        "givenName": "Jie", 
        "id": "sg:person.01125660676.03", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01125660676.03"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hunan Normal University", 
          "id": "https://www.grid.ac/institutes/grid.411427.5", 
          "name": [
            "Hunan Provincial Key Laboratory of Microbial Molecular Biology-State Key Laboratory Breeding Base of Microbial Molecular Biology, College of Life Science, Hunan Normal University, 410081, Changsha, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tang", 
        "givenName": "Sijia", 
        "id": "sg:person.01315123706.75", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01315123706.75"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hunan Normal University", 
          "id": "https://www.grid.ac/institutes/grid.411427.5", 
          "name": [
            "Hunan Provincial Key Laboratory of Microbial Molecular Biology-State Key Laboratory Breeding Base of Microbial Molecular Biology, College of Life Science, Hunan Normal University, 410081, Changsha, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "He", 
        "givenName": "Lian", 
        "id": "sg:person.01345515642.83", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01345515642.83"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hunan Normal University", 
          "id": "https://www.grid.ac/institutes/grid.411427.5", 
          "name": [
            "Hunan Provincial Key Laboratory of Microbial Molecular Biology-State Key Laboratory Breeding Base of Microbial Molecular Biology, College of Life Science, Hunan Normal University, 410081, Changsha, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Li", 
        "givenName": "Li", 
        "id": "sg:person.0747003423.59", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0747003423.59"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hunan Normal University", 
          "id": "https://www.grid.ac/institutes/grid.411427.5", 
          "name": [
            "Hunan Provincial Key Laboratory of Microbial Molecular Biology-State Key Laboratory Breeding Base of Microbial Molecular Biology, College of Life Science, Hunan Normal University, 410081, Changsha, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ding", 
        "givenName": "Xuezhi", 
        "id": "sg:person.01234456153.65", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01234456153.65"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hunan Normal University", 
          "id": "https://www.grid.ac/institutes/grid.411427.5", 
          "name": [
            "Hunan Provincial Key Laboratory of Microbial Molecular Biology-State Key Laboratory Breeding Base of Microbial Molecular Biology, College of Life Science, Hunan Normal University, 410081, Changsha, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Xia", 
        "givenName": "Liqiu", 
        "id": "sg:person.0724310244.88", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0724310244.88"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1128/jb.185.2.601-609.2003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001164219"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/mcp.m200025-mcp200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003277808"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/mcp.m900449-mcp200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004837910"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btn511", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004933294"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00284-014-0747-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004972000", 
          "https://doi.org/10.1007/s00284-014-0747-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1477-5956-9-40", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005075227", 
          "https://doi.org/10.1186/1477-5956-9-40"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jb.00099-08", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005270570"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/mcp.m113.033951", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010753781"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/aac.47.9.2823-2830.2003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010810786"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jbiotec.2013.08.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012156615"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/1526-4998(200008)56:8<696::aid-ps182>3.0.co;2-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012525379"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00253-007-0894-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012750640", 
          "https://doi.org/10.1007/s00253-007-0894-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00253-007-0894-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012750640", 
          "https://doi.org/10.1007/s00253-007-0894-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/mcp.m111.013797", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013978704"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0378-1119(92)90627-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014129383"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0378-1119(92)90627-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014129383"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1462-2920.2001.00231.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014913506"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pbio.0030031", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015772499"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jprot.2010.05.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016150341"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nbt1183-784", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016340344", 
          "https://doi.org/10.1038/nbt1183-784"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1475-2859-9-95", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016393180", 
          "https://doi.org/10.1186/1475-2859-9-95"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/pmic.200600422", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016947013"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00253-011-3086-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017200142", 
          "https://doi.org/10.1007/s00253-011-3086-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00203-010-0548-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017285774", 
          "https://doi.org/10.1007/s00203-010-0548-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00203-010-0548-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017285774", 
          "https://doi.org/10.1007/s00203-010-0548-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m110.160960", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017628852"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/mcp.m500061-mcp200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019580643"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/mcp.m113.034082", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021234410"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/aem.01794-12", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022321200"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7150/ijbs.10320", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023192093"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/bp050048m", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027669578"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bit.22040", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029409737"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m110809200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029818379"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1751-7915.2010.00194.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029978896"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0087905", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031491515"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/pmic.200700287", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032774963"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/1462-2920.12273", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033067039"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/pmic.201000553", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033107266"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/aem.00424-12", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033283061"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00253-014-6325-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034477987", 
          "https://doi.org/10.1007/s00253-014-6325-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/mcp.m900240-mcp200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036292012"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00253-012-4046-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036308771", 
          "https://doi.org/10.1007/s00253-012-4046-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bit.22005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038600284"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jb.00428-07", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038998700"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1574-6968.2011.02405.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039577164"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1477-5956-9-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039827543", 
          "https://doi.org/10.1186/1477-5956-9-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0092229", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039923180"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/gr.473902", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042166472"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1475-2859-13-27", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042764211", 
          "https://doi.org/10.1186/1475-2859-13-27"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/aem.71.5.2294-2302.2005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042951843"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/pr025556v", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045717219"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0022-2836(83)80284-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046218244"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00253-008-1694-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046282077", 
          "https://doi.org/10.1007/s00253-008-1694-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00253-008-1694-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046282077", 
          "https://doi.org/10.1007/s00253-008-1694-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/pr0703066", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048035325"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/mcp.m600274-mcp200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048132249"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jb.188.2.609-618.2006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049403021"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijmm.2007.03.020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050097017"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1570-9639(03)00066-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050258591"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/aem.01952-13", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052825140"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2015-10", 
    "datePublishedReg": "2015-10-01", 
    "description": "Saccharopolyspora spinosa can produce spinosad as a major secondary metabolite, which is an environmentally friendly agent for insect control. Cobalamin-independent methionine synthase (MetE) is an important enzyme in methionine biosynthesis, and this enzyme is probably closely related to spinosad production. In this study, its corresponding gene metE was inactivated, which resulted in a rapid growth and glucose utilisation rate and almost loss of spinosad production. A label-free quantitative proteomics-based approach was employed to obtain insights into the mechanism by which the metabolic network adapts to the absence of MetE. A total of 1440 proteins were detected from wild-type and \u0394metE mutant strains at three time points: stationary phase of \u0394metE mutant strain (S1\u0394metE , 67 h), first stationary phase of wild-type strain (S1WT, 67 h) and second stationary phase of wild-type strain (S2WT, 100 h). Protein expression patterns were determined using an exponentially modified protein abundance index (emPAI) and analysed by comparing S1\u0394metE /S1WT and S1\u0394metE /S2WT. Results showed that differentially expressed enzymes were mainly involved in primary metabolism and genetic information processing. This study demonstrated that the role of MetE is not restricted to methionine biosynthesis but rather is involved in global metabolic regulation in S. spinosa.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00253-015-6883-8", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1083533", 
        "issn": [
          "0175-7598", 
          "1432-0614"
        ], 
        "name": "Applied Microbiology and Biotechnology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "20", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "99"
      }
    ], 
    "name": "Proteomic insights into metabolic adaptation to deletion of metE in Saccharopolyspora spinosa", 
    "pagination": "8629-8641", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "7e788bb5b6157ee44bf365f44f2b36b60ad7ce86e039f12904a53ce6db1a4e4a"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "26266753"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "8406612"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00253-015-6883-8"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1026547007"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00253-015-6883-8", 
      "https://app.dimensions.ai/details/publication/pub.1026547007"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T15:01", 
    "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_8663_00000513.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs00253-015-6883-8"
  }
]
 

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.10.1007/s00253-015-6883-8'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00253-015-6883-8'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00253-015-6883-8'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00253-015-6883-8'


 

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

340 TRIPLES      21 PREDICATES      94 URIs      30 LITERALS      18 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00253-015-6883-8 schema:about N4045a326df6b49f48ce2970b841d9abc
2 N657e6d6a23004b8395796f47ef0d772a
3 N7367cd72ab8f4061be14e0918cb576e6
4 N7ce5c74eb60d4492a86e1390af65e136
5 Nc8ca8ac4c86c48878d576b0db819775c
6 Ncd0b7e47b4204f4fab6179f00ec64700
7 Ndc9726dabd2a43e9b0036e5a99d015b5
8 Nf50fc9a8aef3424a85c1f87a79ca97f7
9 Nfcc6bf0970a2497da3d539453965d697
10 anzsrc-for:06
11 anzsrc-for:0601
12 schema:author Nba947140df994a6590add0f17badbf78
13 schema:citation sg:pub.10.1007/s00203-010-0548-x
14 sg:pub.10.1007/s00253-007-0894-z
15 sg:pub.10.1007/s00253-008-1694-9
16 sg:pub.10.1007/s00253-011-3086-9
17 sg:pub.10.1007/s00253-012-4046-8
18 sg:pub.10.1007/s00253-014-6325-z
19 sg:pub.10.1007/s00284-014-0747-9
20 sg:pub.10.1038/nbt1183-784
21 sg:pub.10.1186/1475-2859-13-27
22 sg:pub.10.1186/1475-2859-9-95
23 sg:pub.10.1186/1477-5956-9-1
24 sg:pub.10.1186/1477-5956-9-40
25 https://doi.org/10.1002/1526-4998(200008)56:8<696::aid-ps182>3.0.co;2-5
26 https://doi.org/10.1002/bit.22005
27 https://doi.org/10.1002/bit.22040
28 https://doi.org/10.1002/pmic.200600422
29 https://doi.org/10.1002/pmic.200700287
30 https://doi.org/10.1002/pmic.201000553
31 https://doi.org/10.1016/0378-1119(92)90627-2
32 https://doi.org/10.1016/j.ijmm.2007.03.020
33 https://doi.org/10.1016/j.jbiotec.2013.08.003
34 https://doi.org/10.1016/j.jprot.2010.05.011
35 https://doi.org/10.1016/s0022-2836(83)80284-8
36 https://doi.org/10.1016/s1570-9639(03)00066-9
37 https://doi.org/10.1021/bp050048m
38 https://doi.org/10.1021/pr025556v
39 https://doi.org/10.1021/pr0703066
40 https://doi.org/10.1046/j.1462-2920.2001.00231.x
41 https://doi.org/10.1074/jbc.m110.160960
42 https://doi.org/10.1074/jbc.m110809200
43 https://doi.org/10.1074/mcp.m111.013797
44 https://doi.org/10.1074/mcp.m113.033951
45 https://doi.org/10.1074/mcp.m113.034082
46 https://doi.org/10.1074/mcp.m200025-mcp200
47 https://doi.org/10.1074/mcp.m500061-mcp200
48 https://doi.org/10.1074/mcp.m600274-mcp200
49 https://doi.org/10.1074/mcp.m900240-mcp200
50 https://doi.org/10.1074/mcp.m900449-mcp200
51 https://doi.org/10.1093/bioinformatics/btn511
52 https://doi.org/10.1101/gr.473902
53 https://doi.org/10.1111/1462-2920.12273
54 https://doi.org/10.1111/j.1574-6968.2011.02405.x
55 https://doi.org/10.1111/j.1751-7915.2010.00194.x
56 https://doi.org/10.1128/aac.47.9.2823-2830.2003
57 https://doi.org/10.1128/aem.00424-12
58 https://doi.org/10.1128/aem.01794-12
59 https://doi.org/10.1128/aem.01952-13
60 https://doi.org/10.1128/aem.71.5.2294-2302.2005
61 https://doi.org/10.1128/jb.00099-08
62 https://doi.org/10.1128/jb.00428-07
63 https://doi.org/10.1128/jb.185.2.601-609.2003
64 https://doi.org/10.1128/jb.188.2.609-618.2006
65 https://doi.org/10.1371/journal.pbio.0030031
66 https://doi.org/10.1371/journal.pone.0087905
67 https://doi.org/10.1371/journal.pone.0092229
68 https://doi.org/10.7150/ijbs.10320
69 schema:datePublished 2015-10
70 schema:datePublishedReg 2015-10-01
71 schema:description Saccharopolyspora spinosa can produce spinosad as a major secondary metabolite, which is an environmentally friendly agent for insect control. Cobalamin-independent methionine synthase (MetE) is an important enzyme in methionine biosynthesis, and this enzyme is probably closely related to spinosad production. In this study, its corresponding gene metE was inactivated, which resulted in a rapid growth and glucose utilisation rate and almost loss of spinosad production. A label-free quantitative proteomics-based approach was employed to obtain insights into the mechanism by which the metabolic network adapts to the absence of MetE. A total of 1440 proteins were detected from wild-type and ΔmetE mutant strains at three time points: stationary phase of ΔmetE mutant strain (S1ΔmetE , 67 h), first stationary phase of wild-type strain (S1WT, 67 h) and second stationary phase of wild-type strain (S2WT, 100 h). Protein expression patterns were determined using an exponentially modified protein abundance index (emPAI) and analysed by comparing S1ΔmetE /S1WT and S1ΔmetE /S2WT. Results showed that differentially expressed enzymes were mainly involved in primary metabolism and genetic information processing. This study demonstrated that the role of MetE is not restricted to methionine biosynthesis but rather is involved in global metabolic regulation in S. spinosa.
72 schema:genre research_article
73 schema:inLanguage en
74 schema:isAccessibleForFree false
75 schema:isPartOf N885e5b40aa394ec486d808ea754c456b
76 Ncf32c6d561624072b8fee9beb3623ede
77 sg:journal.1083533
78 schema:name Proteomic insights into metabolic adaptation to deletion of metE in Saccharopolyspora spinosa
79 schema:pagination 8629-8641
80 schema:productId N0b2c4275601840c5b2887ecd83082f60
81 N49237ec340fb496083b1776016cf4ebc
82 N4caaaa38034d400585c63ac145a539e5
83 Nc20f0b290d8b4647996e5f42d1eb9d6c
84 Nf107504131eb4401b2257b2230e82319
85 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026547007
86 https://doi.org/10.1007/s00253-015-6883-8
87 schema:sdDatePublished 2019-04-10T15:01
88 schema:sdLicense https://scigraph.springernature.com/explorer/license/
89 schema:sdPublisher N5c3e3e060e8c4792a5fe4374f241589d
90 schema:url http://link.springer.com/10.1007%2Fs00253-015-6883-8
91 sgo:license sg:explorer/license/
92 sgo:sdDataset articles
93 rdf:type schema:ScholarlyArticle
94 N0b2c4275601840c5b2887ecd83082f60 schema:name doi
95 schema:value 10.1007/s00253-015-6883-8
96 rdf:type schema:PropertyValue
97 N4045a326df6b49f48ce2970b841d9abc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
98 schema:name Metabolic Networks and Pathways
99 rdf:type schema:DefinedTerm
100 N49237ec340fb496083b1776016cf4ebc schema:name dimensions_id
101 schema:value pub.1026547007
102 rdf:type schema:PropertyValue
103 N4caaaa38034d400585c63ac145a539e5 schema:name nlm_unique_id
104 schema:value 8406612
105 rdf:type schema:PropertyValue
106 N58ca0950c8b7483299b6ada6fe472ec6 rdf:first sg:person.01125660676.03
107 rdf:rest N6d400221c1694d30a3c46f903e8c5f72
108 N5c3e3e060e8c4792a5fe4374f241589d schema:name Springer Nature - SN SciGraph project
109 rdf:type schema:Organization
110 N5ebaaeda748b4595b5b9091b6a63f5ef rdf:first sg:person.0724310244.88
111 rdf:rest rdf:nil
112 N657e6d6a23004b8395796f47ef0d772a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
113 schema:name Gene Regulatory Networks
114 rdf:type schema:DefinedTerm
115 N65caf848283e4da3bc978b8e5d57e129 rdf:first sg:person.01234456153.65
116 rdf:rest N5ebaaeda748b4595b5b9091b6a63f5ef
117 N6d400221c1694d30a3c46f903e8c5f72 rdf:first sg:person.01315123706.75
118 rdf:rest Nf5f9f95e43034b4280d0c51a2f8751ef
119 N7367cd72ab8f4061be14e0918cb576e6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
120 schema:name Saccharopolyspora
121 rdf:type schema:DefinedTerm
122 N7ce5c74eb60d4492a86e1390af65e136 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
123 schema:name Glucose
124 rdf:type schema:DefinedTerm
125 N7eb82175fe36404eb820ac47a24b03f5 rdf:first sg:person.0747003423.59
126 rdf:rest N65caf848283e4da3bc978b8e5d57e129
127 N885e5b40aa394ec486d808ea754c456b schema:issueNumber 20
128 rdf:type schema:PublicationIssue
129 Na4c097c2de374242884e7be7d7b0a074 rdf:first sg:person.01310045723.36
130 rdf:rest N58ca0950c8b7483299b6ada6fe472ec6
131 Nba947140df994a6590add0f17badbf78 rdf:first sg:person.0646221737.82
132 rdf:rest Nc90c5be7a70a46babe94a4c5b9699422
133 Nc20f0b290d8b4647996e5f42d1eb9d6c schema:name pubmed_id
134 schema:value 26266753
135 rdf:type schema:PropertyValue
136 Nc8ca8ac4c86c48878d576b0db819775c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
137 schema:name Macrolides
138 rdf:type schema:DefinedTerm
139 Nc90c5be7a70a46babe94a4c5b9699422 rdf:first Ne0f252e5b0ea466bb686057bfd5ea6c5
140 rdf:rest Na4c097c2de374242884e7be7d7b0a074
141 Ncd0b7e47b4204f4fab6179f00ec64700 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
142 schema:name Drug Combinations
143 rdf:type schema:DefinedTerm
144 Ncf32c6d561624072b8fee9beb3623ede schema:volumeNumber 99
145 rdf:type schema:PublicationVolume
146 Ndc9726dabd2a43e9b0036e5a99d015b5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
147 schema:name Proteome
148 rdf:type schema:DefinedTerm
149 Ne0f252e5b0ea466bb686057bfd5ea6c5 schema:affiliation https://www.grid.ac/institutes/grid.411427.5
150 schema:familyName Li
151 schema:givenName Yunlong
152 rdf:type schema:Person
153 Nf107504131eb4401b2257b2230e82319 schema:name readcube_id
154 schema:value 7e788bb5b6157ee44bf365f44f2b36b60ad7ce86e039f12904a53ce6db1a4e4a
155 rdf:type schema:PropertyValue
156 Nf50fc9a8aef3424a85c1f87a79ca97f7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
157 schema:name Gene Deletion
158 rdf:type schema:DefinedTerm
159 Nf5f9f95e43034b4280d0c51a2f8751ef rdf:first sg:person.01345515642.83
160 rdf:rest N7eb82175fe36404eb820ac47a24b03f5
161 Nfcc6bf0970a2497da3d539453965d697 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
162 schema:name 5-Methyltetrahydrofolate-Homocysteine S-Methyltransferase
163 rdf:type schema:DefinedTerm
164 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
165 schema:name Biological Sciences
166 rdf:type schema:DefinedTerm
167 anzsrc-for:0601 schema:inDefinedTermSet anzsrc-for:
168 schema:name Biochemistry and Cell Biology
169 rdf:type schema:DefinedTerm
170 sg:journal.1083533 schema:issn 0175-7598
171 1432-0614
172 schema:name Applied Microbiology and Biotechnology
173 rdf:type schema:Periodical
174 sg:person.01125660676.03 schema:affiliation https://www.grid.ac/institutes/grid.411427.5
175 schema:familyName Rang
176 schema:givenName Jie
177 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01125660676.03
178 rdf:type schema:Person
179 sg:person.01234456153.65 schema:affiliation https://www.grid.ac/institutes/grid.411427.5
180 schema:familyName Ding
181 schema:givenName Xuezhi
182 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01234456153.65
183 rdf:type schema:Person
184 sg:person.01310045723.36 schema:affiliation https://www.grid.ac/institutes/grid.411427.5
185 schema:familyName Yang
186 schema:givenName Huijun
187 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01310045723.36
188 rdf:type schema:Person
189 sg:person.01315123706.75 schema:affiliation https://www.grid.ac/institutes/grid.411427.5
190 schema:familyName Tang
191 schema:givenName Sijia
192 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01315123706.75
193 rdf:type schema:Person
194 sg:person.01345515642.83 schema:affiliation https://www.grid.ac/institutes/grid.411427.5
195 schema:familyName He
196 schema:givenName Lian
197 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01345515642.83
198 rdf:type schema:Person
199 sg:person.0646221737.82 schema:affiliation https://www.grid.ac/institutes/grid.411427.5
200 schema:familyName Yang
201 schema:givenName Qi
202 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0646221737.82
203 rdf:type schema:Person
204 sg:person.0724310244.88 schema:affiliation https://www.grid.ac/institutes/grid.411427.5
205 schema:familyName Xia
206 schema:givenName Liqiu
207 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0724310244.88
208 rdf:type schema:Person
209 sg:person.0747003423.59 schema:affiliation https://www.grid.ac/institutes/grid.411427.5
210 schema:familyName Li
211 schema:givenName Li
212 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0747003423.59
213 rdf:type schema:Person
214 sg:pub.10.1007/s00203-010-0548-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1017285774
215 https://doi.org/10.1007/s00203-010-0548-x
216 rdf:type schema:CreativeWork
217 sg:pub.10.1007/s00253-007-0894-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1012750640
218 https://doi.org/10.1007/s00253-007-0894-z
219 rdf:type schema:CreativeWork
220 sg:pub.10.1007/s00253-008-1694-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046282077
221 https://doi.org/10.1007/s00253-008-1694-9
222 rdf:type schema:CreativeWork
223 sg:pub.10.1007/s00253-011-3086-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017200142
224 https://doi.org/10.1007/s00253-011-3086-9
225 rdf:type schema:CreativeWork
226 sg:pub.10.1007/s00253-012-4046-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036308771
227 https://doi.org/10.1007/s00253-012-4046-8
228 rdf:type schema:CreativeWork
229 sg:pub.10.1007/s00253-014-6325-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1034477987
230 https://doi.org/10.1007/s00253-014-6325-z
231 rdf:type schema:CreativeWork
232 sg:pub.10.1007/s00284-014-0747-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004972000
233 https://doi.org/10.1007/s00284-014-0747-9
234 rdf:type schema:CreativeWork
235 sg:pub.10.1038/nbt1183-784 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016340344
236 https://doi.org/10.1038/nbt1183-784
237 rdf:type schema:CreativeWork
238 sg:pub.10.1186/1475-2859-13-27 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042764211
239 https://doi.org/10.1186/1475-2859-13-27
240 rdf:type schema:CreativeWork
241 sg:pub.10.1186/1475-2859-9-95 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016393180
242 https://doi.org/10.1186/1475-2859-9-95
243 rdf:type schema:CreativeWork
244 sg:pub.10.1186/1477-5956-9-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039827543
245 https://doi.org/10.1186/1477-5956-9-1
246 rdf:type schema:CreativeWork
247 sg:pub.10.1186/1477-5956-9-40 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005075227
248 https://doi.org/10.1186/1477-5956-9-40
249 rdf:type schema:CreativeWork
250 https://doi.org/10.1002/1526-4998(200008)56:8<696::aid-ps182>3.0.co;2-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012525379
251 rdf:type schema:CreativeWork
252 https://doi.org/10.1002/bit.22005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038600284
253 rdf:type schema:CreativeWork
254 https://doi.org/10.1002/bit.22040 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029409737
255 rdf:type schema:CreativeWork
256 https://doi.org/10.1002/pmic.200600422 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016947013
257 rdf:type schema:CreativeWork
258 https://doi.org/10.1002/pmic.200700287 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032774963
259 rdf:type schema:CreativeWork
260 https://doi.org/10.1002/pmic.201000553 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033107266
261 rdf:type schema:CreativeWork
262 https://doi.org/10.1016/0378-1119(92)90627-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014129383
263 rdf:type schema:CreativeWork
264 https://doi.org/10.1016/j.ijmm.2007.03.020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050097017
265 rdf:type schema:CreativeWork
266 https://doi.org/10.1016/j.jbiotec.2013.08.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012156615
267 rdf:type schema:CreativeWork
268 https://doi.org/10.1016/j.jprot.2010.05.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016150341
269 rdf:type schema:CreativeWork
270 https://doi.org/10.1016/s0022-2836(83)80284-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046218244
271 rdf:type schema:CreativeWork
272 https://doi.org/10.1016/s1570-9639(03)00066-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050258591
273 rdf:type schema:CreativeWork
274 https://doi.org/10.1021/bp050048m schema:sameAs https://app.dimensions.ai/details/publication/pub.1027669578
275 rdf:type schema:CreativeWork
276 https://doi.org/10.1021/pr025556v schema:sameAs https://app.dimensions.ai/details/publication/pub.1045717219
277 rdf:type schema:CreativeWork
278 https://doi.org/10.1021/pr0703066 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048035325
279 rdf:type schema:CreativeWork
280 https://doi.org/10.1046/j.1462-2920.2001.00231.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1014913506
281 rdf:type schema:CreativeWork
282 https://doi.org/10.1074/jbc.m110.160960 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017628852
283 rdf:type schema:CreativeWork
284 https://doi.org/10.1074/jbc.m110809200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029818379
285 rdf:type schema:CreativeWork
286 https://doi.org/10.1074/mcp.m111.013797 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013978704
287 rdf:type schema:CreativeWork
288 https://doi.org/10.1074/mcp.m113.033951 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010753781
289 rdf:type schema:CreativeWork
290 https://doi.org/10.1074/mcp.m113.034082 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021234410
291 rdf:type schema:CreativeWork
292 https://doi.org/10.1074/mcp.m200025-mcp200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003277808
293 rdf:type schema:CreativeWork
294 https://doi.org/10.1074/mcp.m500061-mcp200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019580643
295 rdf:type schema:CreativeWork
296 https://doi.org/10.1074/mcp.m600274-mcp200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048132249
297 rdf:type schema:CreativeWork
298 https://doi.org/10.1074/mcp.m900240-mcp200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036292012
299 rdf:type schema:CreativeWork
300 https://doi.org/10.1074/mcp.m900449-mcp200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004837910
301 rdf:type schema:CreativeWork
302 https://doi.org/10.1093/bioinformatics/btn511 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004933294
303 rdf:type schema:CreativeWork
304 https://doi.org/10.1101/gr.473902 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042166472
305 rdf:type schema:CreativeWork
306 https://doi.org/10.1111/1462-2920.12273 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033067039
307 rdf:type schema:CreativeWork
308 https://doi.org/10.1111/j.1574-6968.2011.02405.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1039577164
309 rdf:type schema:CreativeWork
310 https://doi.org/10.1111/j.1751-7915.2010.00194.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1029978896
311 rdf:type schema:CreativeWork
312 https://doi.org/10.1128/aac.47.9.2823-2830.2003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010810786
313 rdf:type schema:CreativeWork
314 https://doi.org/10.1128/aem.00424-12 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033283061
315 rdf:type schema:CreativeWork
316 https://doi.org/10.1128/aem.01794-12 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022321200
317 rdf:type schema:CreativeWork
318 https://doi.org/10.1128/aem.01952-13 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052825140
319 rdf:type schema:CreativeWork
320 https://doi.org/10.1128/aem.71.5.2294-2302.2005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042951843
321 rdf:type schema:CreativeWork
322 https://doi.org/10.1128/jb.00099-08 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005270570
323 rdf:type schema:CreativeWork
324 https://doi.org/10.1128/jb.00428-07 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038998700
325 rdf:type schema:CreativeWork
326 https://doi.org/10.1128/jb.185.2.601-609.2003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001164219
327 rdf:type schema:CreativeWork
328 https://doi.org/10.1128/jb.188.2.609-618.2006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049403021
329 rdf:type schema:CreativeWork
330 https://doi.org/10.1371/journal.pbio.0030031 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015772499
331 rdf:type schema:CreativeWork
332 https://doi.org/10.1371/journal.pone.0087905 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031491515
333 rdf:type schema:CreativeWork
334 https://doi.org/10.1371/journal.pone.0092229 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039923180
335 rdf:type schema:CreativeWork
336 https://doi.org/10.7150/ijbs.10320 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023192093
337 rdf:type schema:CreativeWork
338 https://www.grid.ac/institutes/grid.411427.5 schema:alternateName Hunan Normal University
339 schema:name Hunan Provincial Key Laboratory of Microbial Molecular Biology-State Key Laboratory Breeding Base of Microbial Molecular Biology, College of Life Science, Hunan Normal University, 410081, Changsha, China
340 rdf:type schema:Organization
 




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


...