High–Level Expression, Efficient Secretion and Folding of Human Growth Hormone in Escherichia coli View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1986-11

AUTHORS

Hansen M. Hsiung, Nancy G. Mayne, Gerald W. Becker

ABSTRACT

We have constructed a secretion vector containing genes that code for the Escherichia coli ompA signal peptide and human growth hormone (hGH). The recombinant fusion protein was expressed in E. coli cells harboring the vector and the correctly processed hGH was secreted into the E. coli periplasm, yielding 10–15 μg hGH/A600 cells in the periplasm. Purified hGH was shown to have the correct amino terminus, and also the correct disulfide bonds and the proper secondary structure. The results indicate that the E. coli periplasm can provide an environment to facilitate efficient disulfide bond formation and proper folding of hGH. The purification and isolation of the recombinant protein are greatly simplified and the processes needed to refold recombinant proteins derived from the E. coli cytoplasm are eliminated. More... »

PAGES

991

Journal

TITLE

Nature Biotechnology

ISSUE

11

VOLUME

4

Related Patents

  • Monopegylated Human Growth Hormone
  • Modular Assembly Of Antibody Genes, Antibodies Prepared Thereby And Use
  • Modular Assembly Of Antibody Genes, Antibodies Prepared Thereby And Use
  • Excretion Of Heterologous Proteins From E. Coli
  • Modular Assembly Of Antibody Genes, Antibodies Prepared Thereby And Use
  • Cysteine Variants Of Interferon Gamma
  • Modular Assembly Of Antibody Genes, Antibodies Prepared Thereby And Use
  • Method Of Treatment Using Cysteine Mutants Of Beta Interferon
  • Methods For Making Proteins Containing Free Cysteine Residues
  • Methods Of Treatment Using Cysteine Variants Of Interleukin-11
  • Modular Assembly Of Antibody Genes, Antibodies Prepared Thereby And Use
  • Expression Of Fusion Polypeptides Transported Out Of The Cytoplasm Without Leader Sequences
  • Treatment Of Α-Galactosidase A Deficiency
  • Methods For Making Proteins Containing Free Cysteine Residues
  • Methods Useful In The Treatment Of Bone Resorption Diseases
  • Treatment Of Α-Galactosidase A Deficiency
  • Detection Of Molecules In Samples
  • Nucleic Acid Encoding A Chimeric Polypeptide
  • Nucleic Acid Encoding A Chimeric Polypeptide
  • Methods Useful In The Treatment Of Bone Resorption Diseases
  • Polypeptide Fusions To Polypeptides Of The Beta-Trefoil Fold Structural Family
  • Cysteine Variants Of Interleukin-11
  • Methods Useful In The Treatment Of Bone Resorption Diseases
  • Methods For Making Proteins Containing Free Cysteine Residues
  • Derivatives Of Growth Hormone And Related Proteins
  • Modular Assembly Of Antibody Genes, Antibodies Prepared Thereby And Use
  • Chimeric Human Growth Hormone Derived From The Placenta And Pituitary Isoform And Processes For Obtaining Said Chimera
  • Expression Of Fusion Polypeptides Transported Out Of The Cytoplasm Without Leader Sequences
  • Vectors With Pectate Lyase Signal Sequence
  • Pectate Lyase Signal Sequence
  • Methods Of Preparing Cysteine Variants Of Human Recombinant Il-11
  • Methods Useful In The Treatment Of Bone Resorption Diseases
  • Methods Of Use For Cysteine Variants Of Human G-Csf
  • Treatment Of Α-Galactosidase A Deficiency
  • Fusion Polypeptides And Proteins
  • Orally Bioavailable Peptide Drug Compositions And Methods Thereof
  • Method Of Preparing Cysteine Mutants Of Human Recombinant Gm-Csf
  • Methods Useful In The Treatment Of Bone Resorption Diseases
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/nbt1186-991

    DOI

    http://dx.doi.org/10.1038/nbt1186-991

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1019022620


    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": [
          {
            "familyName": "Hsiung", 
            "givenName": "Hansen M.", 
            "id": "sg:person.01252224157.54", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01252224157.54"
            ], 
            "type": "Person"
          }, 
          {
            "familyName": "Mayne", 
            "givenName": "Nancy G.", 
            "id": "sg:person.01370454362.99", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01370454362.99"
            ], 
            "type": "Person"
          }, 
          {
            "familyName": "Becker", 
            "givenName": "Gerald W.", 
            "id": "sg:person.01146132251.44", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01146132251.44"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1073/pnas.82.21.7212", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000867620"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0076-6879(80)65059-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008420927"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0378-1119(85)90319-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009888127"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0378-1119(85)90319-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009888127"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/227680a0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010419937", 
              "https://doi.org/10.1038/227680a0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt0284-165", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012678702", 
              "https://doi.org/10.1038/nbt0284-165"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0003-2697(81)90281-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015688070"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0076-6879(79)68008-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016635098"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.77.7.3988", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034973592"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt0285-151", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044629278", 
              "https://doi.org/10.1038/nbt0285-151"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.77.6.3369", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046373200"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0092-8674(80)90321-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048325973"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0003-2697(80)90100-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050866407"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt0186-51", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051889302", 
              "https://doi.org/10.1038/nbt0186-51"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt0784-636", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052368869", 
              "https://doi.org/10.1038/nbt0784-636"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1001/jama.255.5.581", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1054146547"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/bi00840a007", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055190393"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.377496", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062621416"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1079492639", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/j.1460-2075.1984.tb02151.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1081563803"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1081660158", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1082123604", 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "1986-11", 
        "datePublishedReg": "1986-11-01", 
        "description": "We have constructed a secretion vector containing genes that code for the Escherichia coli ompA signal peptide and human growth hormone (hGH). The recombinant fusion protein was expressed in E. coli cells harboring the vector and the correctly processed hGH was secreted into the E. coli periplasm, yielding 10\u201315 \u03bcg hGH/A600 cells in the periplasm. Purified hGH was shown to have the correct amino terminus, and also the correct disulfide bonds and the proper secondary structure. The results indicate that the E. coli periplasm can provide an environment to facilitate efficient disulfide bond formation and proper folding of hGH. The purification and isolation of the recombinant protein are greatly simplified and the processes needed to refold recombinant proteins derived from the E. coli cytoplasm are eliminated.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1038/nbt1186-991", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1115214", 
            "issn": [
              "1087-0156", 
              "1546-1696"
            ], 
            "name": "Nature Biotechnology", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "11", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "4"
          }
        ], 
        "name": "High\u2013Level Expression, Efficient Secretion and Folding of Human Growth Hormone in Escherichia coli", 
        "pagination": "991", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "5aa2ecc12601fb618363939ba99fc94f31f19923eb4db9d242a453d7192b1b88"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1038/nbt1186-991"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1019022620"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1038/nbt1186-991", 
          "https://app.dimensions.ai/details/publication/pub.1019022620"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-10T18:10", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8675_00000442.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://www.nature.com/articles/nbt1186-991"
      }
    ]
     

    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.10.1038/nbt1186-991'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/nbt1186-991'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/nbt1186-991'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/nbt1186-991'


     

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

    134 TRIPLES      21 PREDICATES      48 URIs      19 LITERALS      7 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1038/nbt1186-991 schema:about anzsrc-for:06
    2 anzsrc-for:0601
    3 schema:author Nc1b06fa1166141aebd71944f9da1c53a
    4 schema:citation sg:pub.10.1038/227680a0
    5 sg:pub.10.1038/nbt0186-51
    6 sg:pub.10.1038/nbt0284-165
    7 sg:pub.10.1038/nbt0285-151
    8 sg:pub.10.1038/nbt0784-636
    9 https://app.dimensions.ai/details/publication/pub.1079492639
    10 https://app.dimensions.ai/details/publication/pub.1081660158
    11 https://app.dimensions.ai/details/publication/pub.1082123604
    12 https://doi.org/10.1001/jama.255.5.581
    13 https://doi.org/10.1002/j.1460-2075.1984.tb02151.x
    14 https://doi.org/10.1016/0003-2697(80)90100-1
    15 https://doi.org/10.1016/0003-2697(81)90281-5
    16 https://doi.org/10.1016/0076-6879(79)68008-4
    17 https://doi.org/10.1016/0092-8674(80)90321-9
    18 https://doi.org/10.1016/0378-1119(85)90319-1
    19 https://doi.org/10.1016/s0076-6879(80)65059-9
    20 https://doi.org/10.1021/bi00840a007
    21 https://doi.org/10.1073/pnas.77.6.3369
    22 https://doi.org/10.1073/pnas.77.7.3988
    23 https://doi.org/10.1073/pnas.82.21.7212
    24 https://doi.org/10.1126/science.377496
    25 schema:datePublished 1986-11
    26 schema:datePublishedReg 1986-11-01
    27 schema:description We have constructed a secretion vector containing genes that code for the Escherichia coli ompA signal peptide and human growth hormone (hGH). The recombinant fusion protein was expressed in E. coli cells harboring the vector and the correctly processed hGH was secreted into the E. coli periplasm, yielding 10–15 μg hGH/A600 cells in the periplasm. Purified hGH was shown to have the correct amino terminus, and also the correct disulfide bonds and the proper secondary structure. The results indicate that the E. coli periplasm can provide an environment to facilitate efficient disulfide bond formation and proper folding of hGH. The purification and isolation of the recombinant protein are greatly simplified and the processes needed to refold recombinant proteins derived from the E. coli cytoplasm are eliminated.
    28 schema:genre research_article
    29 schema:inLanguage en
    30 schema:isAccessibleForFree false
    31 schema:isPartOf N367a22a06799470b8833d07bb0286839
    32 N8919f9d90cad4a21a3cbef71db720d84
    33 sg:journal.1115214
    34 schema:name High–Level Expression, Efficient Secretion and Folding of Human Growth Hormone in Escherichia coli
    35 schema:pagination 991
    36 schema:productId N8899c70e266748acb07906d71a3581bd
    37 N8b60139535e7443d9806625ff09debc3
    38 N96a95d3d1ccd4424847a6f705e17e0bd
    39 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019022620
    40 https://doi.org/10.1038/nbt1186-991
    41 schema:sdDatePublished 2019-04-10T18:10
    42 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    43 schema:sdPublisher N56686de3306b40e983351d501104b077
    44 schema:url https://www.nature.com/articles/nbt1186-991
    45 sgo:license sg:explorer/license/
    46 sgo:sdDataset articles
    47 rdf:type schema:ScholarlyArticle
    48 N367a22a06799470b8833d07bb0286839 schema:volumeNumber 4
    49 rdf:type schema:PublicationVolume
    50 N56686de3306b40e983351d501104b077 schema:name Springer Nature - SN SciGraph project
    51 rdf:type schema:Organization
    52 N69c446242f6940b5928bcfcc1bd50cd5 rdf:first sg:person.01146132251.44
    53 rdf:rest rdf:nil
    54 N8899c70e266748acb07906d71a3581bd schema:name dimensions_id
    55 schema:value pub.1019022620
    56 rdf:type schema:PropertyValue
    57 N8919f9d90cad4a21a3cbef71db720d84 schema:issueNumber 11
    58 rdf:type schema:PublicationIssue
    59 N8b60139535e7443d9806625ff09debc3 schema:name doi
    60 schema:value 10.1038/nbt1186-991
    61 rdf:type schema:PropertyValue
    62 N96a95d3d1ccd4424847a6f705e17e0bd schema:name readcube_id
    63 schema:value 5aa2ecc12601fb618363939ba99fc94f31f19923eb4db9d242a453d7192b1b88
    64 rdf:type schema:PropertyValue
    65 Nc1b06fa1166141aebd71944f9da1c53a rdf:first sg:person.01252224157.54
    66 rdf:rest Ne6e92b4330434d8d8110ce84f3215c67
    67 Ne6e92b4330434d8d8110ce84f3215c67 rdf:first sg:person.01370454362.99
    68 rdf:rest N69c446242f6940b5928bcfcc1bd50cd5
    69 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    70 schema:name Biological Sciences
    71 rdf:type schema:DefinedTerm
    72 anzsrc-for:0601 schema:inDefinedTermSet anzsrc-for:
    73 schema:name Biochemistry and Cell Biology
    74 rdf:type schema:DefinedTerm
    75 sg:journal.1115214 schema:issn 1087-0156
    76 1546-1696
    77 schema:name Nature Biotechnology
    78 rdf:type schema:Periodical
    79 sg:person.01146132251.44 schema:familyName Becker
    80 schema:givenName Gerald W.
    81 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01146132251.44
    82 rdf:type schema:Person
    83 sg:person.01252224157.54 schema:familyName Hsiung
    84 schema:givenName Hansen M.
    85 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01252224157.54
    86 rdf:type schema:Person
    87 sg:person.01370454362.99 schema:familyName Mayne
    88 schema:givenName Nancy G.
    89 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01370454362.99
    90 rdf:type schema:Person
    91 sg:pub.10.1038/227680a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010419937
    92 https://doi.org/10.1038/227680a0
    93 rdf:type schema:CreativeWork
    94 sg:pub.10.1038/nbt0186-51 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051889302
    95 https://doi.org/10.1038/nbt0186-51
    96 rdf:type schema:CreativeWork
    97 sg:pub.10.1038/nbt0284-165 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012678702
    98 https://doi.org/10.1038/nbt0284-165
    99 rdf:type schema:CreativeWork
    100 sg:pub.10.1038/nbt0285-151 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044629278
    101 https://doi.org/10.1038/nbt0285-151
    102 rdf:type schema:CreativeWork
    103 sg:pub.10.1038/nbt0784-636 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052368869
    104 https://doi.org/10.1038/nbt0784-636
    105 rdf:type schema:CreativeWork
    106 https://app.dimensions.ai/details/publication/pub.1079492639 schema:CreativeWork
    107 https://app.dimensions.ai/details/publication/pub.1081660158 schema:CreativeWork
    108 https://app.dimensions.ai/details/publication/pub.1082123604 schema:CreativeWork
    109 https://doi.org/10.1001/jama.255.5.581 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054146547
    110 rdf:type schema:CreativeWork
    111 https://doi.org/10.1002/j.1460-2075.1984.tb02151.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1081563803
    112 rdf:type schema:CreativeWork
    113 https://doi.org/10.1016/0003-2697(80)90100-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050866407
    114 rdf:type schema:CreativeWork
    115 https://doi.org/10.1016/0003-2697(81)90281-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015688070
    116 rdf:type schema:CreativeWork
    117 https://doi.org/10.1016/0076-6879(79)68008-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016635098
    118 rdf:type schema:CreativeWork
    119 https://doi.org/10.1016/0092-8674(80)90321-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048325973
    120 rdf:type schema:CreativeWork
    121 https://doi.org/10.1016/0378-1119(85)90319-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009888127
    122 rdf:type schema:CreativeWork
    123 https://doi.org/10.1016/s0076-6879(80)65059-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008420927
    124 rdf:type schema:CreativeWork
    125 https://doi.org/10.1021/bi00840a007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055190393
    126 rdf:type schema:CreativeWork
    127 https://doi.org/10.1073/pnas.77.6.3369 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046373200
    128 rdf:type schema:CreativeWork
    129 https://doi.org/10.1073/pnas.77.7.3988 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034973592
    130 rdf:type schema:CreativeWork
    131 https://doi.org/10.1073/pnas.82.21.7212 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000867620
    132 rdf:type schema:CreativeWork
    133 https://doi.org/10.1126/science.377496 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062621416
    134 rdf:type schema:CreativeWork
     




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


    ...