Enhancing co-translational folding of heterologous protein by deleting non-essential ribosomal proteins in Pichia pastoris View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Xihao Liao, Jing Zhao, Shuli Liang, Jingjie Jin, Cheng Li, Ruiming Xiao, Lu Li, Meijin Guo, Gong Zhang, Ying Lin

ABSTRACT

Background: Translational regulation played an important role in the correct folding of heterologous proteins to form bioactive conformations during biogenesis. Translational pausing coordinates protein translation and co-translational folding. Decelerating translation elongation speed has been shown to improve the soluble protein yield when expressing heterologous proteins in industrial expression hosts. However, rational redesign of translational pausing via synonymous mutations may not be feasible in many cases. Our goal was to develop a general and convenient strategy to improve heterologous protein synthesis in Pichia pastoris without mutating the expressed genes. Results: Here, a large-scale deletion library of ribosomal protein (RP) genes was constructed for heterologous protein expression in Pichia pastoris, and 59% (16/27) RP deletants have significantly increased heterologous protein yield. This is due to the delay of 60S subunit assembly by deleting non-essential ribosomal protein genes or 60S subunit processing factors, thus globally decreased the translation elongation speed and improved the co-translational folding, without perturbing the relative transcription level and translation initiation. Conclusion: Global decrease in the translation elongation speed by RP deletion enhanced co-translational folding efficiency of nascent chains and decreased protein aggregates to improve heterologous protein yield. A potential expression platform for efficient pharmaceutical proteins and industrial enzymes production was provided without synonymous mutation. More... »

PAGES

38

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s13068-019-1377-z

DOI

http://dx.doi.org/10.1186/s13068-019-1377-z

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112292060

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30828383


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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "South China University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.79703.3a", 
          "name": [
            "Guangdong Key Laboratory of Fermentation and Enzyme Engineering, School of Biology and Biological Engineering, South China University of Technology, 510006, Guangzhou, China", 
            "Guangdong Research Center of Industrial Enzyme and Green Manufacturing Technology, School of Biology and Biological Engineering, South China University of Technology, 510006, Guangzhou, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Liao", 
        "givenName": "Xihao", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Jinan University", 
          "id": "https://www.grid.ac/institutes/grid.258164.c", 
          "name": [
            "Key Laboratory of Functional Protein Research of Guangdong Higher Education Institutes, Institute of Life and Health Engineering, College of Life Science and Technology, Jinan University, 510632, Guangzhou, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhao", 
        "givenName": "Jing", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "South China University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.79703.3a", 
          "name": [
            "Guangdong Key Laboratory of Fermentation and Enzyme Engineering, School of Biology and Biological Engineering, South China University of Technology, 510006, Guangzhou, China", 
            "Guangdong Research Center of Industrial Enzyme and Green Manufacturing Technology, School of Biology and Biological Engineering, South China University of Technology, 510006, Guangzhou, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Liang", 
        "givenName": "Shuli", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Jinan University", 
          "id": "https://www.grid.ac/institutes/grid.258164.c", 
          "name": [
            "Key Laboratory of Functional Protein Research of Guangdong Higher Education Institutes, Institute of Life and Health Engineering, College of Life Science and Technology, Jinan University, 510632, Guangzhou, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jin", 
        "givenName": "Jingjie", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "South China University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.79703.3a", 
          "name": [
            "Guangdong Key Laboratory of Fermentation and Enzyme Engineering, School of Biology and Biological Engineering, South China University of Technology, 510006, Guangzhou, China", 
            "Guangdong Research Center of Industrial Enzyme and Green Manufacturing Technology, School of Biology and Biological Engineering, South China University of Technology, 510006, Guangzhou, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Li", 
        "givenName": "Cheng", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "South China University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.79703.3a", 
          "name": [
            "Guangdong Key Laboratory of Fermentation and Enzyme Engineering, School of Biology and Biological Engineering, South China University of Technology, 510006, Guangzhou, China", 
            "Guangdong Research Center of Industrial Enzyme and Green Manufacturing Technology, School of Biology and Biological Engineering, South China University of Technology, 510006, Guangzhou, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Xiao", 
        "givenName": "Ruiming", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "South China University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.79703.3a", 
          "name": [
            "Guangdong Key Laboratory of Fermentation and Enzyme Engineering, School of Biology and Biological Engineering, South China University of Technology, 510006, Guangzhou, China", 
            "Guangdong Research Center of Industrial Enzyme and Green Manufacturing Technology, School of Biology and Biological Engineering, South China University of Technology, 510006, Guangzhou, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Li", 
        "givenName": "Lu", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "East China University of Science and Technology", 
          "id": "https://www.grid.ac/institutes/grid.28056.39", 
          "name": [
            "State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai Institute of Biomanufacturing Technology & Collaborative Innovation Center, 200237, Shanghai, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Guo", 
        "givenName": "Meijin", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Jinan University", 
          "id": "https://www.grid.ac/institutes/grid.258164.c", 
          "name": [
            "Key Laboratory of Functional Protein Research of Guangdong Higher Education Institutes, Institute of Life and Health Engineering, College of Life Science and Technology, Jinan University, 510632, Guangzhou, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhang", 
        "givenName": "Gong", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "South China University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.79703.3a", 
          "name": [
            "Guangdong Key Laboratory of Fermentation and Enzyme Engineering, School of Biology and Biological Engineering, South China University of Technology, 510006, Guangzhou, China", 
            "Guangdong Research Center of Industrial Enzyme and Green Manufacturing Technology, School of Biology and Biological Engineering, South China University of Technology, 510006, Guangzhou, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lin", 
        "givenName": "Ying", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.bpj.2009.12.4291", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000510023"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/mcp.m300129-mcp200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001348050"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1567-1364.2011.00716.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002323096"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/bp060019r", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002990234"
        ], 
        "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.molcel.2010.09.028", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003941671"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrc2501", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004066379", 
          "https://doi.org/10.1038/nrc2501"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2105-11-172", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004266698", 
          "https://doi.org/10.1186/1471-2105-11-172"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cell.2008.02.037", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005884528"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/mcb.01322-13", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006184916"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkt178", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009758738"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2164-10-221", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010098420", 
          "https://doi.org/10.1186/1471-2164-10-221"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/15.3.1281", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010536976"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btl248", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010643354"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cell.2012.12.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014226603"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2958.2006.05054.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015294865"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2958.2006.05054.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015294865"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/embj.201385651", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017539017"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pgen.1005302", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017638844"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.111.136549", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018413165"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.111.136549", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018413165"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/14032", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018417775", 
          "https://doi.org/10.1038/14032"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/14032", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018417775", 
          "https://doi.org/10.1038/14032"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cell.2005.05.028", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021827336"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ncomms13695", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022879113", 
          "https://doi.org/10.1038/ncomms13695"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pgen.1005901", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022884355"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btp616", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023247882"
        ], 
        "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": "https://doi.org/10.1016/j.biortech.2012.12.020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023426646"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.molcel.2015.07.018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025768790"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00253-015-6470-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026637493", 
          "https://doi.org/10.1007/s00253-015-6470-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/sb400091p", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026668894"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1083/jcb.200510080", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027527929"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00253-014-5732-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027836620", 
          "https://doi.org/10.1007/s00253-014-5732-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00253-014-5732-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027836620", 
          "https://doi.org/10.1007/s00253-014-5732-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1754-6834-7-111", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029697044", 
          "https://doi.org/10.1186/1754-6834-7-111"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1409588111", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029908204"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/btpr.663", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030098701"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/pro.5560050814", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030402927"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/bp9600039", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030647712"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pbio.1000522", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031605327"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.tibs.2008.10.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032141609"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.113.153197", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034042828"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.113.153197", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034042828"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nprot.2007.251", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034682495", 
          "https://doi.org/10.1038/nprot.2007.251"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkq495", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035096934"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/1097-0290(20001020)70:2<217::aid-bit11>3.0.co;2-w", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035355226"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/72371", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038383111", 
          "https://doi.org/10.1038/72371"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nbt1029", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038843880", 
          "https://doi.org/10.1038/nbt1029"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nbt1029", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038843880", 
          "https://doi.org/10.1038/nbt1029"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/mcb.26.10.3718-3727.2006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039064862"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nsmb.1554", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042993759", 
          "https://doi.org/10.1038/nsmb.1554"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.sbi.2010.01.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043400673"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bit.10904", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044169922"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s002530000531", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044527879", 
          "https://doi.org/10.1007/s002530000531"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0005036", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044894142"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmeth.1226", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045381177", 
          "https://doi.org/10.1038/nmeth.1226"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12896-015-0204-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045381261", 
          "https://doi.org/10.1186/s12896-015-0204-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0127039", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048837327"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jbiotec.2014.08.031", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051098825"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jprot.2013.06.031", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052387271"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1475-2859-7-11", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052808565", 
          "https://doi.org/10.1186/1475-2859-7-11"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.febslet.2012.07.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053360806"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/pr501103r", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056294038"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1099/00221287-148-4-1081", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060371058"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/s41467-017-00539-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091456745", 
          "https://doi.org/10.1038/s41467-017-00539-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biotechadv.2017.11.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092636036"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cbic.201700460", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1099658747"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bbrc.2017.12.122", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1099915060"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13068-017-1003-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100241812", 
          "https://doi.org/10.1186/s13068-017-1003-x"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "Background: Translational regulation played an important role in the correct folding of heterologous proteins to form bioactive conformations during biogenesis. Translational pausing coordinates protein translation and co-translational folding. Decelerating translation elongation speed has been shown to improve the soluble protein yield when expressing heterologous proteins in industrial expression hosts. However, rational redesign of translational pausing via synonymous mutations may not be feasible in many cases. Our goal was to develop a general and convenient strategy to improve heterologous protein synthesis in Pichia pastoris without mutating the expressed genes.\nResults: Here, a large-scale deletion library of ribosomal protein (RP) genes was constructed for heterologous protein expression in Pichia pastoris, and 59% (16/27) RP deletants have significantly increased heterologous protein yield. This is due to the delay of 60S subunit assembly by deleting non-essential ribosomal protein genes or 60S subunit processing factors, thus globally decreased the translation elongation speed and improved the co-translational folding, without perturbing the relative transcription level and translation initiation.\nConclusion: Global decrease in the translation elongation speed by RP deletion enhanced co-translational folding efficiency of nascent chains and decreased protein aggregates to improve heterologous protein yield. A potential expression platform for efficient pharmaceutical proteins and industrial enzymes production was provided without synonymous mutation.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s13068-019-1377-z", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1039046", 
        "issn": [
          "1754-6834"
        ], 
        "name": "Biotechnology for Biofuels", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "12"
      }
    ], 
    "name": "Enhancing co-translational folding of heterologous protein by deleting non-essential ribosomal proteins in Pichia pastoris", 
    "pagination": "38", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "9d83cf4fe58e2f24ad8934162e7deaee98d4fd4f0c2d1aa1de9e6742d1e20057"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30828383"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101316935"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s13068-019-1377-z"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1112292060"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s13068-019-1377-z", 
      "https://app.dimensions.ai/details/publication/pub.1112292060"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T11:21", 
    "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/v90/0000000354_0000000354/records_11726_00000002.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs13068-019-1377-z"
  }
]
 

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/s13068-019-1377-z'

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/s13068-019-1377-z'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s13068-019-1377-z'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s13068-019-1377-z'


 

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

340 TRIPLES      21 PREDICATES      93 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s13068-019-1377-z schema:about anzsrc-for:06
2 anzsrc-for:0601
3 schema:author N18e2ad4f2a3243f09ebf8073869a5c4f
4 schema:citation sg:pub.10.1007/s00253-011-3654-z
5 sg:pub.10.1007/s00253-014-5732-5
6 sg:pub.10.1007/s00253-015-6470-z
7 sg:pub.10.1007/s002530000531
8 sg:pub.10.1038/14032
9 sg:pub.10.1038/72371
10 sg:pub.10.1038/nbt.1544
11 sg:pub.10.1038/nbt1029
12 sg:pub.10.1038/ncomms13695
13 sg:pub.10.1038/nmeth.1226
14 sg:pub.10.1038/nprot.2007.251
15 sg:pub.10.1038/nrc2501
16 sg:pub.10.1038/nsmb.1554
17 sg:pub.10.1038/s41467-017-00539-y
18 sg:pub.10.1186/1471-2105-11-172
19 sg:pub.10.1186/1471-2164-10-221
20 sg:pub.10.1186/1475-2859-7-11
21 sg:pub.10.1186/1754-6834-7-111
22 sg:pub.10.1186/s12896-015-0204-2
23 sg:pub.10.1186/s13068-017-1003-x
24 https://doi.org/10.1002/1097-0290(20001020)70:2<217::aid-bit11>3.0.co;2-w
25 https://doi.org/10.1002/bit.10904
26 https://doi.org/10.1002/btpr.663
27 https://doi.org/10.1002/cbic.201700460
28 https://doi.org/10.1002/embj.201385651
29 https://doi.org/10.1002/pro.5560050814
30 https://doi.org/10.1016/j.bbrc.2017.12.122
31 https://doi.org/10.1016/j.biortech.2012.12.020
32 https://doi.org/10.1016/j.biotechadv.2017.11.002
33 https://doi.org/10.1016/j.bpj.2009.12.4291
34 https://doi.org/10.1016/j.cell.2005.05.028
35 https://doi.org/10.1016/j.cell.2008.02.037
36 https://doi.org/10.1016/j.cell.2012.12.001
37 https://doi.org/10.1016/j.febslet.2012.07.012
38 https://doi.org/10.1016/j.jbiotec.2014.08.031
39 https://doi.org/10.1016/j.jprot.2013.06.031
40 https://doi.org/10.1016/j.molcel.2010.09.028
41 https://doi.org/10.1016/j.molcel.2015.07.018
42 https://doi.org/10.1016/j.sbi.2010.01.005
43 https://doi.org/10.1016/j.tibs.2008.10.002
44 https://doi.org/10.1021/bp060019r
45 https://doi.org/10.1021/bp9600039
46 https://doi.org/10.1021/pr501103r
47 https://doi.org/10.1021/sb400091p
48 https://doi.org/10.1073/pnas.1409588111
49 https://doi.org/10.1074/mcp.m300129-mcp200
50 https://doi.org/10.1083/jcb.200510080
51 https://doi.org/10.1093/bioinformatics/btl248
52 https://doi.org/10.1093/bioinformatics/btp616
53 https://doi.org/10.1093/nar/15.3.1281
54 https://doi.org/10.1093/nar/gkq495
55 https://doi.org/10.1093/nar/gkt178
56 https://doi.org/10.1099/00221287-148-4-1081
57 https://doi.org/10.1111/j.1365-2958.2006.05054.x
58 https://doi.org/10.1111/j.1567-1364.2011.00716.x
59 https://doi.org/10.1128/mcb.01322-13
60 https://doi.org/10.1128/mcb.26.10.3718-3727.2006
61 https://doi.org/10.1371/journal.pbio.1000522
62 https://doi.org/10.1371/journal.pgen.1005302
63 https://doi.org/10.1371/journal.pgen.1005901
64 https://doi.org/10.1371/journal.pone.0005036
65 https://doi.org/10.1371/journal.pone.0127039
66 https://doi.org/10.1534/genetics.111.136549
67 https://doi.org/10.1534/genetics.113.153197
68 schema:datePublished 2019-12
69 schema:datePublishedReg 2019-12-01
70 schema:description Background: Translational regulation played an important role in the correct folding of heterologous proteins to form bioactive conformations during biogenesis. Translational pausing coordinates protein translation and co-translational folding. Decelerating translation elongation speed has been shown to improve the soluble protein yield when expressing heterologous proteins in industrial expression hosts. However, rational redesign of translational pausing via synonymous mutations may not be feasible in many cases. Our goal was to develop a general and convenient strategy to improve heterologous protein synthesis in Pichia pastoris without mutating the expressed genes. Results: Here, a large-scale deletion library of ribosomal protein (RP) genes was constructed for heterologous protein expression in Pichia pastoris, and 59% (16/27) RP deletants have significantly increased heterologous protein yield. This is due to the delay of 60S subunit assembly by deleting non-essential ribosomal protein genes or 60S subunit processing factors, thus globally decreased the translation elongation speed and improved the co-translational folding, without perturbing the relative transcription level and translation initiation. Conclusion: Global decrease in the translation elongation speed by RP deletion enhanced co-translational folding efficiency of nascent chains and decreased protein aggregates to improve heterologous protein yield. A potential expression platform for efficient pharmaceutical proteins and industrial enzymes production was provided without synonymous mutation.
71 schema:genre research_article
72 schema:inLanguage en
73 schema:isAccessibleForFree true
74 schema:isPartOf N1b2e4de2c5d345e49e325db54739aaaf
75 N81c65ebc5c3041688225ee5bb6abb82b
76 sg:journal.1039046
77 schema:name Enhancing co-translational folding of heterologous protein by deleting non-essential ribosomal proteins in Pichia pastoris
78 schema:pagination 38
79 schema:productId N19772b865e9345a8ade37fd3bbd403c8
80 N788c68537274467dbe51d7469f843770
81 Na3a0033d2e5545b38b458361db3955ec
82 Nb26b2b4fd46c444e8a3803543dd323cc
83 Nfd9938c1852a4dc7883abb9e21066c15
84 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112292060
85 https://doi.org/10.1186/s13068-019-1377-z
86 schema:sdDatePublished 2019-04-11T11:21
87 schema:sdLicense https://scigraph.springernature.com/explorer/license/
88 schema:sdPublisher N16d8b3f8ab5340b4861fc6d05b1c8f77
89 schema:url https://link.springer.com/10.1186%2Fs13068-019-1377-z
90 sgo:license sg:explorer/license/
91 sgo:sdDataset articles
92 rdf:type schema:ScholarlyArticle
93 N023898eb6b3a43cfbc980406e8b80ec6 schema:affiliation https://www.grid.ac/institutes/grid.258164.c
94 schema:familyName Jin
95 schema:givenName Jingjie
96 rdf:type schema:Person
97 N06daed4fd10b451e87e9ee2a13ec22a2 rdf:first N21f18ca45b864bb4b8708304b1a2b63d
98 rdf:rest Naa3c20e0074e40f5b8b9e38fd165071f
99 N147589ca7d1e42d69459d95ba4116470 schema:affiliation https://www.grid.ac/institutes/grid.79703.3a
100 schema:familyName Liao
101 schema:givenName Xihao
102 rdf:type schema:Person
103 N16d8b3f8ab5340b4861fc6d05b1c8f77 schema:name Springer Nature - SN SciGraph project
104 rdf:type schema:Organization
105 N18e2ad4f2a3243f09ebf8073869a5c4f rdf:first N147589ca7d1e42d69459d95ba4116470
106 rdf:rest N27f987e3545042b1baa77dfc2a737024
107 N19772b865e9345a8ade37fd3bbd403c8 schema:name pubmed_id
108 schema:value 30828383
109 rdf:type schema:PropertyValue
110 N1b2e4de2c5d345e49e325db54739aaaf schema:volumeNumber 12
111 rdf:type schema:PublicationVolume
112 N21f18ca45b864bb4b8708304b1a2b63d schema:affiliation https://www.grid.ac/institutes/grid.79703.3a
113 schema:familyName Liang
114 schema:givenName Shuli
115 rdf:type schema:Person
116 N27f987e3545042b1baa77dfc2a737024 rdf:first N86c7543f1cee4d19b322b0e333556ffd
117 rdf:rest N06daed4fd10b451e87e9ee2a13ec22a2
118 N3b78ba25efef43a9b97f68dfc4e58bb7 rdf:first Nb49ba024878a44ae9c356468bf160c36
119 rdf:rest Ndd5a011199004800a3cba0b55803a49b
120 N4576028b5dbc4cdab4f4938c932c1d2e schema:affiliation https://www.grid.ac/institutes/grid.79703.3a
121 schema:familyName Li
122 schema:givenName Lu
123 rdf:type schema:Person
124 N47b65576128f4d539b66cdf6404dffc5 schema:affiliation https://www.grid.ac/institutes/grid.79703.3a
125 schema:familyName Xiao
126 schema:givenName Ruiming
127 rdf:type schema:Person
128 N4af818b8bca84f1fa91ce97f2c3ac09f schema:affiliation https://www.grid.ac/institutes/grid.258164.c
129 schema:familyName Zhang
130 schema:givenName Gong
131 rdf:type schema:Person
132 N69563d0e203e4b839c8ae098126ef2ab rdf:first N47b65576128f4d539b66cdf6404dffc5
133 rdf:rest Naa08f395d8f64818a35f6b613a3be0c7
134 N788c68537274467dbe51d7469f843770 schema:name readcube_id
135 schema:value 9d83cf4fe58e2f24ad8934162e7deaee98d4fd4f0c2d1aa1de9e6742d1e20057
136 rdf:type schema:PropertyValue
137 N81c65ebc5c3041688225ee5bb6abb82b schema:issueNumber 1
138 rdf:type schema:PublicationIssue
139 N86c7543f1cee4d19b322b0e333556ffd schema:affiliation https://www.grid.ac/institutes/grid.258164.c
140 schema:familyName Zhao
141 schema:givenName Jing
142 rdf:type schema:Person
143 N88d07e74a0804bb9ba23d9b158be184d rdf:first Na3945426230c4047ad0aff158c26a58c
144 rdf:rest rdf:nil
145 Na3945426230c4047ad0aff158c26a58c schema:affiliation https://www.grid.ac/institutes/grid.79703.3a
146 schema:familyName Lin
147 schema:givenName Ying
148 rdf:type schema:Person
149 Na3a0033d2e5545b38b458361db3955ec schema:name nlm_unique_id
150 schema:value 101316935
151 rdf:type schema:PropertyValue
152 Naa08f395d8f64818a35f6b613a3be0c7 rdf:first N4576028b5dbc4cdab4f4938c932c1d2e
153 rdf:rest N3b78ba25efef43a9b97f68dfc4e58bb7
154 Naa3c20e0074e40f5b8b9e38fd165071f rdf:first N023898eb6b3a43cfbc980406e8b80ec6
155 rdf:rest Nd18c01bdf44348db9af28638c59d73ce
156 Nb26b2b4fd46c444e8a3803543dd323cc schema:name doi
157 schema:value 10.1186/s13068-019-1377-z
158 rdf:type schema:PropertyValue
159 Nb49ba024878a44ae9c356468bf160c36 schema:affiliation https://www.grid.ac/institutes/grid.28056.39
160 schema:familyName Guo
161 schema:givenName Meijin
162 rdf:type schema:Person
163 Nd18c01bdf44348db9af28638c59d73ce rdf:first Ne98d3e9344754504aa42326ac38d76e4
164 rdf:rest N69563d0e203e4b839c8ae098126ef2ab
165 Ndd5a011199004800a3cba0b55803a49b rdf:first N4af818b8bca84f1fa91ce97f2c3ac09f
166 rdf:rest N88d07e74a0804bb9ba23d9b158be184d
167 Ne98d3e9344754504aa42326ac38d76e4 schema:affiliation https://www.grid.ac/institutes/grid.79703.3a
168 schema:familyName Li
169 schema:givenName Cheng
170 rdf:type schema:Person
171 Nfd9938c1852a4dc7883abb9e21066c15 schema:name dimensions_id
172 schema:value pub.1112292060
173 rdf:type schema:PropertyValue
174 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
175 schema:name Biological Sciences
176 rdf:type schema:DefinedTerm
177 anzsrc-for:0601 schema:inDefinedTermSet anzsrc-for:
178 schema:name Biochemistry and Cell Biology
179 rdf:type schema:DefinedTerm
180 sg:journal.1039046 schema:issn 1754-6834
181 schema:name Biotechnology for Biofuels
182 rdf:type schema:Periodical
183 sg:pub.10.1007/s00253-011-3654-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1023426312
184 https://doi.org/10.1007/s00253-011-3654-z
185 rdf:type schema:CreativeWork
186 sg:pub.10.1007/s00253-014-5732-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027836620
187 https://doi.org/10.1007/s00253-014-5732-5
188 rdf:type schema:CreativeWork
189 sg:pub.10.1007/s00253-015-6470-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1026637493
190 https://doi.org/10.1007/s00253-015-6470-z
191 rdf:type schema:CreativeWork
192 sg:pub.10.1007/s002530000531 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044527879
193 https://doi.org/10.1007/s002530000531
194 rdf:type schema:CreativeWork
195 sg:pub.10.1038/14032 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018417775
196 https://doi.org/10.1038/14032
197 rdf:type schema:CreativeWork
198 sg:pub.10.1038/72371 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038383111
199 https://doi.org/10.1038/72371
200 rdf:type schema:CreativeWork
201 sg:pub.10.1038/nbt.1544 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003542206
202 https://doi.org/10.1038/nbt.1544
203 rdf:type schema:CreativeWork
204 sg:pub.10.1038/nbt1029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038843880
205 https://doi.org/10.1038/nbt1029
206 rdf:type schema:CreativeWork
207 sg:pub.10.1038/ncomms13695 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022879113
208 https://doi.org/10.1038/ncomms13695
209 rdf:type schema:CreativeWork
210 sg:pub.10.1038/nmeth.1226 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045381177
211 https://doi.org/10.1038/nmeth.1226
212 rdf:type schema:CreativeWork
213 sg:pub.10.1038/nprot.2007.251 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034682495
214 https://doi.org/10.1038/nprot.2007.251
215 rdf:type schema:CreativeWork
216 sg:pub.10.1038/nrc2501 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004066379
217 https://doi.org/10.1038/nrc2501
218 rdf:type schema:CreativeWork
219 sg:pub.10.1038/nsmb.1554 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042993759
220 https://doi.org/10.1038/nsmb.1554
221 rdf:type schema:CreativeWork
222 sg:pub.10.1038/s41467-017-00539-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1091456745
223 https://doi.org/10.1038/s41467-017-00539-y
224 rdf:type schema:CreativeWork
225 sg:pub.10.1186/1471-2105-11-172 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004266698
226 https://doi.org/10.1186/1471-2105-11-172
227 rdf:type schema:CreativeWork
228 sg:pub.10.1186/1471-2164-10-221 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010098420
229 https://doi.org/10.1186/1471-2164-10-221
230 rdf:type schema:CreativeWork
231 sg:pub.10.1186/1475-2859-7-11 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052808565
232 https://doi.org/10.1186/1475-2859-7-11
233 rdf:type schema:CreativeWork
234 sg:pub.10.1186/1754-6834-7-111 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029697044
235 https://doi.org/10.1186/1754-6834-7-111
236 rdf:type schema:CreativeWork
237 sg:pub.10.1186/s12896-015-0204-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045381261
238 https://doi.org/10.1186/s12896-015-0204-2
239 rdf:type schema:CreativeWork
240 sg:pub.10.1186/s13068-017-1003-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1100241812
241 https://doi.org/10.1186/s13068-017-1003-x
242 rdf:type schema:CreativeWork
243 https://doi.org/10.1002/1097-0290(20001020)70:2<217::aid-bit11>3.0.co;2-w schema:sameAs https://app.dimensions.ai/details/publication/pub.1035355226
244 rdf:type schema:CreativeWork
245 https://doi.org/10.1002/bit.10904 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044169922
246 rdf:type schema:CreativeWork
247 https://doi.org/10.1002/btpr.663 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030098701
248 rdf:type schema:CreativeWork
249 https://doi.org/10.1002/cbic.201700460 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099658747
250 rdf:type schema:CreativeWork
251 https://doi.org/10.1002/embj.201385651 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017539017
252 rdf:type schema:CreativeWork
253 https://doi.org/10.1002/pro.5560050814 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030402927
254 rdf:type schema:CreativeWork
255 https://doi.org/10.1016/j.bbrc.2017.12.122 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099915060
256 rdf:type schema:CreativeWork
257 https://doi.org/10.1016/j.biortech.2012.12.020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023426646
258 rdf:type schema:CreativeWork
259 https://doi.org/10.1016/j.biotechadv.2017.11.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092636036
260 rdf:type schema:CreativeWork
261 https://doi.org/10.1016/j.bpj.2009.12.4291 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000510023
262 rdf:type schema:CreativeWork
263 https://doi.org/10.1016/j.cell.2005.05.028 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021827336
264 rdf:type schema:CreativeWork
265 https://doi.org/10.1016/j.cell.2008.02.037 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005884528
266 rdf:type schema:CreativeWork
267 https://doi.org/10.1016/j.cell.2012.12.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014226603
268 rdf:type schema:CreativeWork
269 https://doi.org/10.1016/j.febslet.2012.07.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053360806
270 rdf:type schema:CreativeWork
271 https://doi.org/10.1016/j.jbiotec.2014.08.031 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051098825
272 rdf:type schema:CreativeWork
273 https://doi.org/10.1016/j.jprot.2013.06.031 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052387271
274 rdf:type schema:CreativeWork
275 https://doi.org/10.1016/j.molcel.2010.09.028 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003941671
276 rdf:type schema:CreativeWork
277 https://doi.org/10.1016/j.molcel.2015.07.018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025768790
278 rdf:type schema:CreativeWork
279 https://doi.org/10.1016/j.sbi.2010.01.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043400673
280 rdf:type schema:CreativeWork
281 https://doi.org/10.1016/j.tibs.2008.10.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032141609
282 rdf:type schema:CreativeWork
283 https://doi.org/10.1021/bp060019r schema:sameAs https://app.dimensions.ai/details/publication/pub.1002990234
284 rdf:type schema:CreativeWork
285 https://doi.org/10.1021/bp9600039 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030647712
286 rdf:type schema:CreativeWork
287 https://doi.org/10.1021/pr501103r schema:sameAs https://app.dimensions.ai/details/publication/pub.1056294038
288 rdf:type schema:CreativeWork
289 https://doi.org/10.1021/sb400091p schema:sameAs https://app.dimensions.ai/details/publication/pub.1026668894
290 rdf:type schema:CreativeWork
291 https://doi.org/10.1073/pnas.1409588111 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029908204
292 rdf:type schema:CreativeWork
293 https://doi.org/10.1074/mcp.m300129-mcp200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001348050
294 rdf:type schema:CreativeWork
295 https://doi.org/10.1083/jcb.200510080 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027527929
296 rdf:type schema:CreativeWork
297 https://doi.org/10.1093/bioinformatics/btl248 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010643354
298 rdf:type schema:CreativeWork
299 https://doi.org/10.1093/bioinformatics/btp616 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023247882
300 rdf:type schema:CreativeWork
301 https://doi.org/10.1093/nar/15.3.1281 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010536976
302 rdf:type schema:CreativeWork
303 https://doi.org/10.1093/nar/gkq495 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035096934
304 rdf:type schema:CreativeWork
305 https://doi.org/10.1093/nar/gkt178 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009758738
306 rdf:type schema:CreativeWork
307 https://doi.org/10.1099/00221287-148-4-1081 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060371058
308 rdf:type schema:CreativeWork
309 https://doi.org/10.1111/j.1365-2958.2006.05054.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1015294865
310 rdf:type schema:CreativeWork
311 https://doi.org/10.1111/j.1567-1364.2011.00716.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1002323096
312 rdf:type schema:CreativeWork
313 https://doi.org/10.1128/mcb.01322-13 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006184916
314 rdf:type schema:CreativeWork
315 https://doi.org/10.1128/mcb.26.10.3718-3727.2006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039064862
316 rdf:type schema:CreativeWork
317 https://doi.org/10.1371/journal.pbio.1000522 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031605327
318 rdf:type schema:CreativeWork
319 https://doi.org/10.1371/journal.pgen.1005302 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017638844
320 rdf:type schema:CreativeWork
321 https://doi.org/10.1371/journal.pgen.1005901 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022884355
322 rdf:type schema:CreativeWork
323 https://doi.org/10.1371/journal.pone.0005036 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044894142
324 rdf:type schema:CreativeWork
325 https://doi.org/10.1371/journal.pone.0127039 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048837327
326 rdf:type schema:CreativeWork
327 https://doi.org/10.1534/genetics.111.136549 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018413165
328 rdf:type schema:CreativeWork
329 https://doi.org/10.1534/genetics.113.153197 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034042828
330 rdf:type schema:CreativeWork
331 https://www.grid.ac/institutes/grid.258164.c schema:alternateName Jinan University
332 schema:name Key Laboratory of Functional Protein Research of Guangdong Higher Education Institutes, Institute of Life and Health Engineering, College of Life Science and Technology, Jinan University, 510632, Guangzhou, China
333 rdf:type schema:Organization
334 https://www.grid.ac/institutes/grid.28056.39 schema:alternateName East China University of Science and Technology
335 schema:name State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai Institute of Biomanufacturing Technology & Collaborative Innovation Center, 200237, Shanghai, China
336 rdf:type schema:Organization
337 https://www.grid.ac/institutes/grid.79703.3a schema:alternateName South China University of Technology
338 schema:name Guangdong Key Laboratory of Fermentation and Enzyme Engineering, School of Biology and Biological Engineering, South China University of Technology, 510006, Guangzhou, China
339 Guangdong Research Center of Industrial Enzyme and Green Manufacturing Technology, School of Biology and Biological Engineering, South China University of Technology, 510006, Guangzhou, China
340 rdf:type schema:Organization
 




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


...