The venus kinase receptor (VKR) family: structure and evolution View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2013-12

AUTHORS

Mathieu Vanderstraete, Nadège Gouignard, Arnaud Ahier, Marion Morel, Jérôme Vicogne, Colette Dissous

ABSTRACT

BACKGROUND: Receptor tyrosine kinases (RTK) form a family of transmembrane proteins widely conserved in Metazoa, with key functions in cell-to-cell communication and control of multiple cellular processes. A new family of RTK named Venus Kinase Receptor (VKR) has been described in invertebrates. The VKR receptor possesses a Venus Fly Trap (VFT) extracellular module, a bilobate structure that binds small ligands to induce receptor kinase activity. VKR was shown to be highly expressed in the larval stages and gonads of several invertebrates, suggesting that it could have functions in development and/or reproduction. RESULTS: Analysis of recent genomic data has allowed us to extend the presence of VKR to five bilaterian phyla (Platyhelminthes, Arthropoda, Annelida, Mollusca, Echinodermata) as well as to the Cnidaria phylum. The presence of NveVKR in the early-branching metazoan Nematostella vectensis suggested that VKR arose before the bilaterian radiation. Phylogenetic and gene structure analyses showed that the 40 receptors identified in 36 animal species grouped monophyletically, and likely evolved from a common ancestor. Multiple alignments of tyrosine kinase (TK) and VFT domains indicated their important level of conservation in all VKRs identified up to date. We showed that VKRs had inducible activity upon binding of extracellular amino-acids and molecular modeling of the VFT domain confirmed the structure of the conserved amino-acid binding site. CONCLUSIONS: This study highlights the presence of VKR in a large number of invertebrates, including primitive metazoans like cnidarians, but also its absence from nematodes and chordates. This little-known RTK family deserves to be further explored in order to determine its evolutionary origin, its possible interest for the emergence and specialization of Metazoa, and to understand its function in invertebrate development and/or reproductive biology. More... »

PAGES

361

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1471-2164-14-361

DOI

http://dx.doi.org/10.1186/1471-2164-14-361

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1034789268

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/23721482


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": "Amino Acid Sequence", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Animals", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Computer Simulation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Conserved Sequence", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Evolution, Molecular", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genetic Variation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genomics", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Ligands", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Models, Molecular", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Molecular Sequence Data", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Protein Structure, Tertiary", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Receptor Protein-Tyrosine Kinases", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sequence Homology, Nucleic Acid", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Center for Infection and Immunity of Lille", 
          "id": "https://www.grid.ac/institutes/grid.463727.3", 
          "name": [
            "Center for Infection and Immunity of Lille (CIIL), Inserm U1019, CNRS-UMR 8204, Institut Pasteur de Lille, 59019, Lille, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Vanderstraete", 
        "givenName": "Mathieu", 
        "id": "sg:person.0631245772.65", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0631245772.65"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Center for Infection and Immunity of Lille", 
          "id": "https://www.grid.ac/institutes/grid.463727.3", 
          "name": [
            "Center for Infection and Immunity of Lille (CIIL), Inserm U1019, CNRS-UMR 8204, Institut Pasteur de Lille, 59019, Lille, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gouignard", 
        "givenName": "Nad\u00e8ge", 
        "id": "sg:person.01300452171.79", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01300452171.79"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Genetics and Molecular and Cellular Biology", 
          "id": "https://www.grid.ac/institutes/grid.420255.4", 
          "name": [
            "Institut de G\u00e9n\u00e9tique et de Biologie Mol\u00e9culaire et Cellulaire (IGBMC), Inserm U964, CNRS-UMR 7104, Universit\u00e9 de Strasbourg, 67404, Illkirch, CU Strasbourg, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ahier", 
        "givenName": "Arnaud", 
        "id": "sg:person.01203446720.01", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01203446720.01"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Center for Infection and Immunity of Lille", 
          "id": "https://www.grid.ac/institutes/grid.463727.3", 
          "name": [
            "Center for Infection and Immunity of Lille (CIIL), Inserm U1019, CNRS-UMR 8204, Institut Pasteur de Lille, 59019, Lille, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Morel", 
        "givenName": "Marion", 
        "id": "sg:person.01176106063.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01176106063.16"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institut de Biologie de Lille", 
          "id": "https://www.grid.ac/institutes/grid.418183.7", 
          "name": [
            "UMR8161 \u2013 CNRS, Institut de Biologie de Lille, 1, rue du Pr, Calmette BP 467, 59021, Lille Cedex, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Vicogne", 
        "givenName": "J\u00e9r\u00f4me", 
        "id": "sg:person.0703116532.73", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0703116532.73"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Center for Infection and Immunity of Lille", 
          "id": "https://www.grid.ac/institutes/grid.463727.3", 
          "name": [
            "Center for Infection and Immunity of Lille (CIIL), Inserm U1019, CNRS-UMR 8204, Institut Pasteur de Lille, 59019, Lille, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dissous", 
        "givenName": "Colette", 
        "id": "sg:person.0745474372.05", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0745474372.05"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1126/science.1139158", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002644769"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0163-7258(03)00038-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004232436"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0163-7258(03)00038-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004232436"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3109/09687689409162227", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006616700"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1075762", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006952665"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/gb-2013-14-2-r15", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006984004", 
          "https://doi.org/10.1186/gb-2013-14-2-r15"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.0801314105", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008257789"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.exppara.2011.05.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021905731"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bip.20229", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023838759"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0005651", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024903333"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.tibs.2010.09.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027782604"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/mcb.13.11.7133", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029250734"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12038-011-9065-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029357638", 
          "https://doi.org/10.1007/s12038-011-9065-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.275.14.10323", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030687111"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cell.2010.06.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036327574"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2105-7-62", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041353582", 
          "https://doi.org/10.1186/1471-2105-7-62"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0166-6851(02)00249-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041689309"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0166-6851(02)00249-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041689309"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.261477698", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042693200"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0959-440x(98)80069-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045577553"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/molbev/msr121", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049273973"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.onc.1203957", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051846624", 
          "https://doi.org/10.1038/sj.onc.1203957"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.onc.1203957", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051846624", 
          "https://doi.org/10.1038/sj.onc.1203957"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.3291115", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062604905"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/scisignal.2002733", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062682469"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1895/wormbook.1.60.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068724217"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077418356", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077645402", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2013-12", 
    "datePublishedReg": "2013-12-01", 
    "description": "BACKGROUND: Receptor tyrosine kinases (RTK) form a family of transmembrane proteins widely conserved in Metazoa, with key functions in cell-to-cell communication and control of multiple cellular processes. A new family of RTK named Venus Kinase Receptor (VKR) has been described in invertebrates. The VKR receptor possesses a Venus Fly Trap (VFT) extracellular module, a bilobate structure that binds small ligands to induce receptor kinase activity. VKR was shown to be highly expressed in the larval stages and gonads of several invertebrates, suggesting that it could have functions in development and/or reproduction.\nRESULTS: Analysis of recent genomic data has allowed us to extend the presence of VKR to five bilaterian phyla (Platyhelminthes, Arthropoda, Annelida, Mollusca, Echinodermata) as well as to the Cnidaria phylum. The presence of NveVKR in the early-branching metazoan Nematostella vectensis suggested that VKR arose before the bilaterian radiation. Phylogenetic and gene structure analyses showed that the 40 receptors identified in 36 animal species grouped monophyletically, and likely evolved from a common ancestor. Multiple alignments of tyrosine kinase (TK) and VFT domains indicated their important level of conservation in all VKRs identified up to date. We showed that VKRs had inducible activity upon binding of extracellular amino-acids and molecular modeling of the VFT domain confirmed the structure of the conserved amino-acid binding site.\nCONCLUSIONS: This study highlights the presence of VKR in a large number of invertebrates, including primitive metazoans like cnidarians, but also its absence from nematodes and chordates. This little-known RTK family deserves to be further explored in order to determine its evolutionary origin, its possible interest for the emergence and specialization of Metazoa, and to understand its function in invertebrate development and/or reproductive biology.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/1471-2164-14-361", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1023790", 
        "issn": [
          "1471-2164"
        ], 
        "name": "BMC Genomics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "14"
      }
    ], 
    "name": "The venus kinase receptor (VKR) family: structure and evolution", 
    "pagination": "361", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "a5b91cad1c834753ec8cda46568868e110c4d557ae2f17f31dc54ad842bf8abc"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "23721482"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "100965258"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/1471-2164-14-361"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1034789268"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/1471-2164-14-361", 
      "https://app.dimensions.ai/details/publication/pub.1034789268"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T17:30", 
    "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_8672_00000506.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1186%2F1471-2164-14-361"
  }
]
 

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.10.1186/1471-2164-14-361'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1471-2164-14-361'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1471-2164-14-361'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1471-2164-14-361'


 

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

242 TRIPLES      21 PREDICATES      68 URIs      35 LITERALS      23 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/1471-2164-14-361 schema:about N120ffbc9fd7b4acda7b18f3a475bc0ba
2 N4b7626945a964035890addce1ff277fa
3 N630e04ab8c2241bb84a63d97093b73fe
4 N6361156ef2d743c2a40c44e9da37dd45
5 N6ea732adefb448e199bc2390a23a67a5
6 N7031b029db88424b9d0470d5a511c279
7 N8d16063bf3e54d91929b39da2a5b26ca
8 N9ccb07289c8d45808d51662b4ddfd5f9
9 Naa98b829e12e470786b4a8a786e13111
10 Nabe3f83b31e14fe5aa23915c2304188f
11 Nc091e7146c3846a394ceb35cb7caa0e9
12 Ne0ca8786b0af4243aa9e935fbea42e8b
13 Ned008fbc14514ca19b3eceb10c4551e7
14 Nfde7b6aa0ac34d31baf9d85768c32318
15 anzsrc-for:06
16 anzsrc-for:0601
17 schema:author Ndd29367375b94aa3a8ef7ec1bf9a36ff
18 schema:citation sg:pub.10.1007/s12038-011-9065-6
19 sg:pub.10.1038/sj.onc.1203957
20 sg:pub.10.1186/1471-2105-7-62
21 sg:pub.10.1186/gb-2013-14-2-r15
22 https://app.dimensions.ai/details/publication/pub.1077418356
23 https://app.dimensions.ai/details/publication/pub.1077645402
24 https://doi.org/10.1002/bip.20229
25 https://doi.org/10.1016/j.cell.2010.06.011
26 https://doi.org/10.1016/j.exppara.2011.05.007
27 https://doi.org/10.1016/j.tibs.2010.09.006
28 https://doi.org/10.1016/s0163-7258(03)00038-x
29 https://doi.org/10.1016/s0166-6851(02)00249-9
30 https://doi.org/10.1016/s0959-440x(98)80069-9
31 https://doi.org/10.1073/pnas.0801314105
32 https://doi.org/10.1073/pnas.261477698
33 https://doi.org/10.1074/jbc.275.14.10323
34 https://doi.org/10.1093/molbev/msr121
35 https://doi.org/10.1126/science.1075762
36 https://doi.org/10.1126/science.1139158
37 https://doi.org/10.1126/science.3291115
38 https://doi.org/10.1126/scisignal.2002733
39 https://doi.org/10.1128/mcb.13.11.7133
40 https://doi.org/10.1371/journal.pone.0005651
41 https://doi.org/10.1895/wormbook.1.60.1
42 https://doi.org/10.3109/09687689409162227
43 schema:datePublished 2013-12
44 schema:datePublishedReg 2013-12-01
45 schema:description BACKGROUND: Receptor tyrosine kinases (RTK) form a family of transmembrane proteins widely conserved in Metazoa, with key functions in cell-to-cell communication and control of multiple cellular processes. A new family of RTK named Venus Kinase Receptor (VKR) has been described in invertebrates. The VKR receptor possesses a Venus Fly Trap (VFT) extracellular module, a bilobate structure that binds small ligands to induce receptor kinase activity. VKR was shown to be highly expressed in the larval stages and gonads of several invertebrates, suggesting that it could have functions in development and/or reproduction. RESULTS: Analysis of recent genomic data has allowed us to extend the presence of VKR to five bilaterian phyla (Platyhelminthes, Arthropoda, Annelida, Mollusca, Echinodermata) as well as to the Cnidaria phylum. The presence of NveVKR in the early-branching metazoan Nematostella vectensis suggested that VKR arose before the bilaterian radiation. Phylogenetic and gene structure analyses showed that the 40 receptors identified in 36 animal species grouped monophyletically, and likely evolved from a common ancestor. Multiple alignments of tyrosine kinase (TK) and VFT domains indicated their important level of conservation in all VKRs identified up to date. We showed that VKRs had inducible activity upon binding of extracellular amino-acids and molecular modeling of the VFT domain confirmed the structure of the conserved amino-acid binding site. CONCLUSIONS: This study highlights the presence of VKR in a large number of invertebrates, including primitive metazoans like cnidarians, but also its absence from nematodes and chordates. This little-known RTK family deserves to be further explored in order to determine its evolutionary origin, its possible interest for the emergence and specialization of Metazoa, and to understand its function in invertebrate development and/or reproductive biology.
46 schema:genre research_article
47 schema:inLanguage en
48 schema:isAccessibleForFree true
49 schema:isPartOf N0227c31a786e4e6fb5aab80fef039339
50 Nfd78eba1d0dd4372a6402c9c4b974d4f
51 sg:journal.1023790
52 schema:name The venus kinase receptor (VKR) family: structure and evolution
53 schema:pagination 361
54 schema:productId N38ec23322ff841cba7d52bc583233ffd
55 N45b927c4eba3499e929aec74a568feb6
56 N87c2389ec0994586b53e822f05b1db73
57 N8a6a1cdd719c4cc3bd2d485302aa208b
58 Na9ebfa7571a24410b70b52251b589178
59 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034789268
60 https://doi.org/10.1186/1471-2164-14-361
61 schema:sdDatePublished 2019-04-10T17:30
62 schema:sdLicense https://scigraph.springernature.com/explorer/license/
63 schema:sdPublisher Nc434131134cf40429c894b45cb0be90d
64 schema:url http://link.springer.com/10.1186%2F1471-2164-14-361
65 sgo:license sg:explorer/license/
66 sgo:sdDataset articles
67 rdf:type schema:ScholarlyArticle
68 N0227c31a786e4e6fb5aab80fef039339 schema:issueNumber 1
69 rdf:type schema:PublicationIssue
70 N120ffbc9fd7b4acda7b18f3a475bc0ba schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
71 schema:name Receptor Protein-Tyrosine Kinases
72 rdf:type schema:DefinedTerm
73 N2401e8a5ef6c454292736541de7cb011 rdf:first sg:person.0703116532.73
74 rdf:rest N6ca3cda305ce45e0966070899518ca5b
75 N38ec23322ff841cba7d52bc583233ffd schema:name dimensions_id
76 schema:value pub.1034789268
77 rdf:type schema:PropertyValue
78 N45b927c4eba3499e929aec74a568feb6 schema:name pubmed_id
79 schema:value 23721482
80 rdf:type schema:PropertyValue
81 N4b7626945a964035890addce1ff277fa schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
82 schema:name Sequence Homology, Nucleic Acid
83 rdf:type schema:DefinedTerm
84 N630e04ab8c2241bb84a63d97093b73fe schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
85 schema:name Molecular Sequence Data
86 rdf:type schema:DefinedTerm
87 N6361156ef2d743c2a40c44e9da37dd45 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
88 schema:name Animals
89 rdf:type schema:DefinedTerm
90 N6ca3cda305ce45e0966070899518ca5b rdf:first sg:person.0745474372.05
91 rdf:rest rdf:nil
92 N6ea732adefb448e199bc2390a23a67a5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
93 schema:name Genomics
94 rdf:type schema:DefinedTerm
95 N7031b029db88424b9d0470d5a511c279 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
96 schema:name Protein Structure, Tertiary
97 rdf:type schema:DefinedTerm
98 N87c2389ec0994586b53e822f05b1db73 schema:name doi
99 schema:value 10.1186/1471-2164-14-361
100 rdf:type schema:PropertyValue
101 N8a6a1cdd719c4cc3bd2d485302aa208b schema:name nlm_unique_id
102 schema:value 100965258
103 rdf:type schema:PropertyValue
104 N8d16063bf3e54d91929b39da2a5b26ca schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
105 schema:name Evolution, Molecular
106 rdf:type schema:DefinedTerm
107 N9545293c700947b7855ad54e08b4a175 rdf:first sg:person.01203446720.01
108 rdf:rest Nf17c904a41e441b0a02c4c2ec968a486
109 N9ccb07289c8d45808d51662b4ddfd5f9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
110 schema:name Ligands
111 rdf:type schema:DefinedTerm
112 Na9ebfa7571a24410b70b52251b589178 schema:name readcube_id
113 schema:value a5b91cad1c834753ec8cda46568868e110c4d557ae2f17f31dc54ad842bf8abc
114 rdf:type schema:PropertyValue
115 Naa98b829e12e470786b4a8a786e13111 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
116 schema:name Models, Molecular
117 rdf:type schema:DefinedTerm
118 Nabe3f83b31e14fe5aa23915c2304188f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
119 schema:name Conserved Sequence
120 rdf:type schema:DefinedTerm
121 Nc091e7146c3846a394ceb35cb7caa0e9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
122 schema:name Humans
123 rdf:type schema:DefinedTerm
124 Nc434131134cf40429c894b45cb0be90d schema:name Springer Nature - SN SciGraph project
125 rdf:type schema:Organization
126 Ndd29367375b94aa3a8ef7ec1bf9a36ff rdf:first sg:person.0631245772.65
127 rdf:rest Nfecd30bfb6b44ef1b450bde3cb1550e3
128 Ne0ca8786b0af4243aa9e935fbea42e8b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
129 schema:name Genetic Variation
130 rdf:type schema:DefinedTerm
131 Ned008fbc14514ca19b3eceb10c4551e7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
132 schema:name Computer Simulation
133 rdf:type schema:DefinedTerm
134 Nf17c904a41e441b0a02c4c2ec968a486 rdf:first sg:person.01176106063.16
135 rdf:rest N2401e8a5ef6c454292736541de7cb011
136 Nfd78eba1d0dd4372a6402c9c4b974d4f schema:volumeNumber 14
137 rdf:type schema:PublicationVolume
138 Nfde7b6aa0ac34d31baf9d85768c32318 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
139 schema:name Amino Acid Sequence
140 rdf:type schema:DefinedTerm
141 Nfecd30bfb6b44ef1b450bde3cb1550e3 rdf:first sg:person.01300452171.79
142 rdf:rest N9545293c700947b7855ad54e08b4a175
143 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
144 schema:name Biological Sciences
145 rdf:type schema:DefinedTerm
146 anzsrc-for:0601 schema:inDefinedTermSet anzsrc-for:
147 schema:name Biochemistry and Cell Biology
148 rdf:type schema:DefinedTerm
149 sg:journal.1023790 schema:issn 1471-2164
150 schema:name BMC Genomics
151 rdf:type schema:Periodical
152 sg:person.01176106063.16 schema:affiliation https://www.grid.ac/institutes/grid.463727.3
153 schema:familyName Morel
154 schema:givenName Marion
155 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01176106063.16
156 rdf:type schema:Person
157 sg:person.01203446720.01 schema:affiliation https://www.grid.ac/institutes/grid.420255.4
158 schema:familyName Ahier
159 schema:givenName Arnaud
160 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01203446720.01
161 rdf:type schema:Person
162 sg:person.01300452171.79 schema:affiliation https://www.grid.ac/institutes/grid.463727.3
163 schema:familyName Gouignard
164 schema:givenName Nadège
165 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01300452171.79
166 rdf:type schema:Person
167 sg:person.0631245772.65 schema:affiliation https://www.grid.ac/institutes/grid.463727.3
168 schema:familyName Vanderstraete
169 schema:givenName Mathieu
170 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0631245772.65
171 rdf:type schema:Person
172 sg:person.0703116532.73 schema:affiliation https://www.grid.ac/institutes/grid.418183.7
173 schema:familyName Vicogne
174 schema:givenName Jérôme
175 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0703116532.73
176 rdf:type schema:Person
177 sg:person.0745474372.05 schema:affiliation https://www.grid.ac/institutes/grid.463727.3
178 schema:familyName Dissous
179 schema:givenName Colette
180 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0745474372.05
181 rdf:type schema:Person
182 sg:pub.10.1007/s12038-011-9065-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029357638
183 https://doi.org/10.1007/s12038-011-9065-6
184 rdf:type schema:CreativeWork
185 sg:pub.10.1038/sj.onc.1203957 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051846624
186 https://doi.org/10.1038/sj.onc.1203957
187 rdf:type schema:CreativeWork
188 sg:pub.10.1186/1471-2105-7-62 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041353582
189 https://doi.org/10.1186/1471-2105-7-62
190 rdf:type schema:CreativeWork
191 sg:pub.10.1186/gb-2013-14-2-r15 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006984004
192 https://doi.org/10.1186/gb-2013-14-2-r15
193 rdf:type schema:CreativeWork
194 https://app.dimensions.ai/details/publication/pub.1077418356 schema:CreativeWork
195 https://app.dimensions.ai/details/publication/pub.1077645402 schema:CreativeWork
196 https://doi.org/10.1002/bip.20229 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023838759
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1016/j.cell.2010.06.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036327574
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1016/j.exppara.2011.05.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021905731
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1016/j.tibs.2010.09.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027782604
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1016/s0163-7258(03)00038-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1004232436
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1016/s0166-6851(02)00249-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041689309
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1016/s0959-440x(98)80069-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045577553
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1073/pnas.0801314105 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008257789
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1073/pnas.261477698 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042693200
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1074/jbc.275.14.10323 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030687111
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1093/molbev/msr121 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049273973
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1126/science.1075762 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006952665
219 rdf:type schema:CreativeWork
220 https://doi.org/10.1126/science.1139158 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002644769
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1126/science.3291115 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062604905
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1126/scisignal.2002733 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062682469
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1128/mcb.13.11.7133 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029250734
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1371/journal.pone.0005651 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024903333
229 rdf:type schema:CreativeWork
230 https://doi.org/10.1895/wormbook.1.60.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068724217
231 rdf:type schema:CreativeWork
232 https://doi.org/10.3109/09687689409162227 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006616700
233 rdf:type schema:CreativeWork
234 https://www.grid.ac/institutes/grid.418183.7 schema:alternateName Institut de Biologie de Lille
235 schema:name UMR8161 – CNRS, Institut de Biologie de Lille, 1, rue du Pr, Calmette BP 467, 59021, Lille Cedex, France
236 rdf:type schema:Organization
237 https://www.grid.ac/institutes/grid.420255.4 schema:alternateName Institute of Genetics and Molecular and Cellular Biology
238 schema:name Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), Inserm U964, CNRS-UMR 7104, Université de Strasbourg, 67404, Illkirch, CU Strasbourg, France
239 rdf:type schema:Organization
240 https://www.grid.ac/institutes/grid.463727.3 schema:alternateName Center for Infection and Immunity of Lille
241 schema:name Center for Infection and Immunity of Lille (CIIL), Inserm U1019, CNRS-UMR 8204, Institut Pasteur de Lille, 59019, Lille, France
242 rdf:type schema:Organization
 




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


...