Cancer cell migration on elongate protrusions of fibroblasts in collagen matrix View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Kaoru Miyazaki, Jun Oyanagi, Daisuke Hoshino, Shinsaku Togo, Hiromichi Kumagai, Yohei Miyagi

ABSTRACT

Cancer-associated fibroblasts (CAFs) play critical roles in the tumor progression. However, it remains unclear how cancer cells migrate in the three-dimensional (3D) matrix of cancer tissues and how CAFs support the cancer invasion. Here we propose a novel mechanism of fibroblast-dependent cancer cell invasion in the 3D collagen matrix. Human cancer cell lines from the pancreas (Panc-1), lung (A549) and some other organs actively adhered to normal fibroblasts and primary lung CAFs in cultures. To show its significance in tumor invasion, we designed a new invasion assay in which homogeneous microspheroids consisting of cancer cells and fibroblasts were embedded into collagen gel. Time-lapse experiments showed that cancer cells adhered to and quickly migrated on the long protrusions of fibroblasts in the 3D collagen matrix. Fibroblast-free cancer cells poorly invaded the matrix. Experiments with function-blocking antibodies, siRNAs, and immunocytochemistry demonstrated that cancer cells adhered to fibroblasts through integrin α5β1-mediated binding to fibronectin on the surface of fibroblasts. Immunochemical analyses of the co-cultures and lung cancers suggested that cancer cells could acquire the migratory force by the fibronectin/integrin signaling. Our results also revealed that the fibroblast-bound fibronectin was a preferential substrate for cancer cells to migrate in the collagen matrix. More... »

PAGES

292

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41598-018-36646-z

DOI

http://dx.doi.org/10.1038/s41598-018-36646-z

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111603390

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30670761


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/2008/1112", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Oncology and Carcinogenesis", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Yokohama City University", 
          "id": "https://www.grid.ac/institutes/grid.268441.d", 
          "name": [
            "Molecular Pathology and Genetics Division, Kanagawa Cancer Center Research Institute, 2-3-2 Nakao, Asahi-ku, 241-8515, Yokohama, Japan", 
            "Division of Cell Biology, Kihara Institute for Biological Research, Yokohama City University, 641-12 Maioka-cho, Totsuka-ku, 244-0813, Yokohama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Miyazaki", 
        "givenName": "Kaoru", 
        "id": "sg:person.0664021054.00", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0664021054.00"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Wakayama Medical University", 
          "id": "https://www.grid.ac/institutes/grid.412857.d", 
          "name": [
            "Division of Cell Biology, Kihara Institute for Biological Research, Yokohama City University, 641-12 Maioka-cho, Totsuka-ku, 244-0813, Yokohama, Japan", 
            "Internal Medicine III, Wakayama Medical University, 811-1 Kimiidera, 641-8509, Wakayama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Oyanagi", 
        "givenName": "Jun", 
        "id": "sg:person.01257503016.45", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01257503016.45"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Kanagawa Prefectural Hospital", 
          "id": "https://www.grid.ac/institutes/grid.414944.8", 
          "name": [
            "Cancer Cell Biology Division, Kanagawa Cancer Center Research Institute, 2-3-2 Nakao, Asahi-ku, 241-8515, Yokohama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hoshino", 
        "givenName": "Daisuke", 
        "id": "sg:person.0721646643.33", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0721646643.33"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Juntendo University", 
          "id": "https://www.grid.ac/institutes/grid.258269.2", 
          "name": [
            "Division of Respiratory Medicine, Juntendo University of Medicine, 3-1-3 Hongo, Bunkyo-Ku, 113-8431, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Togo", 
        "givenName": "Shinsaku", 
        "id": "sg:person.01216151317.37", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01216151317.37"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Kumagai Fellow laboratory, Innovative Technology Research Center, Technology General Division, AGC Inc, 1150 Hazawa-cho, Kanagawa-ku, 221-8515, Yokohama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kumagai", 
        "givenName": "Hiromichi", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Kanagawa Prefectural Hospital", 
          "id": "https://www.grid.ac/institutes/grid.414944.8", 
          "name": [
            "Molecular Pathology and Genetics Division, Kanagawa Cancer Center Research Institute, 2-3-2 Nakao, Asahi-ku, 241-8515, Yokohama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Miyagi", 
        "givenName": "Yohei", 
        "id": "sg:person.01346741003.05", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01346741003.05"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/ncb1658", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000085767", 
          "https://doi.org/10.1038/ncb1658"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/32433", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002914091", 
          "https://doi.org/10.1038/32433"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/32433", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002914091", 
          "https://doi.org/10.1038/32433"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ncomms14105", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004529539", 
          "https://doi.org/10.1038/ncomms14105"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ncomms14105", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004529539", 
          "https://doi.org/10.1038/ncomms14105"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1083/jcb.201106023", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006099902"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrc3603", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007099448", 
          "https://doi.org/10.1038/nrc3603"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1183/09031936.04.00143703", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008780657"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1349-7006.2006.00150.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011563868"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1349-7006.2006.00150.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011563868"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0085485", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013304007"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m201100200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014016926"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.yexcr.2014.04.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015313361"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1242/jcs.071985", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017020543"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/excr.2000.5133", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017438163"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.bjc.6601611", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017708276", 
          "https://doi.org/10.1038/sj.bjc.6601611"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.bjc.6601611", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017708276", 
          "https://doi.org/10.1038/sj.bjc.6601611"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/0008-5472.can-09-2319", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019143379"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jcp.21029", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021824421"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3390/cancers5010149", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023370398"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrm2457", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024216072", 
          "https://doi.org/10.1038/nrm2457"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1476-4598-9-152", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026320931", 
          "https://doi.org/10.1186/1476-4598-9-152"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrc2067", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026986001", 
          "https://doi.org/10.1038/nrc2067"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/0008-5472.can-06-2768", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027594889"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/367193a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029630298", 
          "https://doi.org/10.1038/367193a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.bjc.6605309", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032110575", 
          "https://doi.org/10.1038/sj.bjc.6605309"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrm1261", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036162157", 
          "https://doi.org/10.1038/nrm1261"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrm1261", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036162157", 
          "https://doi.org/10.1038/nrm1261"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/srep31063", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037848267", 
          "https://doi.org/10.1038/srep31063"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/35077241", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037985715", 
          "https://doi.org/10.1038/35077241"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/35077241", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037985715", 
          "https://doi.org/10.1038/35077241"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.matbio.2005.06.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039622839"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.matbio.2005.06.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039622839"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1349-7006.2012.02203.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044427499"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1083/jcb.148.5.1075", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045479444"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.90.24.11767", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046820917"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrc.2016.73", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047362535", 
          "https://doi.org/10.1038/nrc.2016.73"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cell.2005.02.034", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047850175"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cell.2005.02.034", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047850175"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cell.2009.10.027", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048663939"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1196/annals.1294.016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050919415"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ijc.23925", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050970619"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0053209", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052043729"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0033289", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052451352"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.2821619", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062563620"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/0008-5472.can-15-2351", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063215970"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074533865", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074953870", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1079909295", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082749157", 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ncb3478", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083850893", 
          "https://doi.org/10.1038/ncb3478"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ncb3478", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083850893", 
          "https://doi.org/10.1038/ncb3478"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7150/jca.16901", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084480881"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1091/mbc.e17-02-0126", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091614513"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0184439", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091887339"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1083/jcb.201702033", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091899578"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1083/jcb.201704053", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092171666"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "Cancer-associated fibroblasts (CAFs) play critical roles in the tumor progression. However, it remains unclear how cancer cells migrate in the three-dimensional (3D) matrix of cancer tissues and how CAFs support the cancer invasion. Here we propose a novel mechanism of fibroblast-dependent cancer cell invasion in the 3D collagen matrix. Human cancer cell lines from the pancreas (Panc-1), lung (A549) and some other organs actively adhered to normal fibroblasts and primary lung CAFs in cultures. To show its significance in tumor invasion, we designed a new invasion assay in which homogeneous microspheroids consisting of cancer cells and fibroblasts were embedded into collagen gel. Time-lapse experiments showed that cancer cells adhered to and quickly migrated on the long protrusions of fibroblasts in the 3D collagen matrix. Fibroblast-free cancer cells poorly invaded the matrix. Experiments with function-blocking antibodies, siRNAs, and immunocytochemistry demonstrated that cancer cells adhered to fibroblasts through integrin \u03b15\u03b21-mediated binding to fibronectin on the surface of fibroblasts. Immunochemical analyses of the co-cultures and lung cancers suggested that cancer cells could acquire the migratory force by the fibronectin/integrin signaling. Our results also revealed that the fibroblast-bound fibronectin was a preferential substrate for cancer cells to migrate in the collagen matrix.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/s41598-018-36646-z", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.6139010", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1045337", 
        "issn": [
          "2045-2322"
        ], 
        "name": "Scientific Reports", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "9"
      }
    ], 
    "name": "Cancer cell migration on elongate protrusions of fibroblasts in collagen matrix", 
    "pagination": "292", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "53bf04376370d908ecadaee6731ad7c0d69561b5cf726861095faba2e7292551"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30670761"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101563288"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/s41598-018-36646-z"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1111603390"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/s41598-018-36646-z", 
      "https://app.dimensions.ai/details/publication/pub.1111603390"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T08:55", 
    "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/v90/0000000325_0000000325/records_100779_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/s41598-018-36646-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.10.1038/s41598-018-36646-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.10.1038/s41598-018-36646-z'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-36646-z'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-36646-z'


 

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

273 TRIPLES      21 PREDICATES      77 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/s41598-018-36646-z schema:about anzsrc-for:11
2 anzsrc-for:1112
3 schema:author N8b1bae0d716e49db943f2cbd7756050d
4 schema:citation sg:pub.10.1038/32433
5 sg:pub.10.1038/35077241
6 sg:pub.10.1038/367193a0
7 sg:pub.10.1038/ncb1658
8 sg:pub.10.1038/ncb3478
9 sg:pub.10.1038/ncomms14105
10 sg:pub.10.1038/nrc.2016.73
11 sg:pub.10.1038/nrc2067
12 sg:pub.10.1038/nrc3603
13 sg:pub.10.1038/nrm1261
14 sg:pub.10.1038/nrm2457
15 sg:pub.10.1038/sj.bjc.6601611
16 sg:pub.10.1038/sj.bjc.6605309
17 sg:pub.10.1038/srep31063
18 sg:pub.10.1186/1476-4598-9-152
19 https://app.dimensions.ai/details/publication/pub.1074533865
20 https://app.dimensions.ai/details/publication/pub.1074953870
21 https://app.dimensions.ai/details/publication/pub.1079909295
22 https://app.dimensions.ai/details/publication/pub.1082749157
23 https://doi.org/10.1002/ijc.23925
24 https://doi.org/10.1002/jcp.21029
25 https://doi.org/10.1006/excr.2000.5133
26 https://doi.org/10.1016/j.cell.2005.02.034
27 https://doi.org/10.1016/j.cell.2009.10.027
28 https://doi.org/10.1016/j.matbio.2005.06.008
29 https://doi.org/10.1016/j.yexcr.2014.04.009
30 https://doi.org/10.1073/pnas.90.24.11767
31 https://doi.org/10.1074/jbc.m201100200
32 https://doi.org/10.1083/jcb.148.5.1075
33 https://doi.org/10.1083/jcb.201106023
34 https://doi.org/10.1083/jcb.201702033
35 https://doi.org/10.1083/jcb.201704053
36 https://doi.org/10.1091/mbc.e17-02-0126
37 https://doi.org/10.1111/j.1349-7006.2006.00150.x
38 https://doi.org/10.1111/j.1349-7006.2012.02203.x
39 https://doi.org/10.1126/science.2821619
40 https://doi.org/10.1158/0008-5472.can-06-2768
41 https://doi.org/10.1158/0008-5472.can-09-2319
42 https://doi.org/10.1158/0008-5472.can-15-2351
43 https://doi.org/10.1183/09031936.04.00143703
44 https://doi.org/10.1196/annals.1294.016
45 https://doi.org/10.1242/jcs.071985
46 https://doi.org/10.1371/journal.pone.0033289
47 https://doi.org/10.1371/journal.pone.0053209
48 https://doi.org/10.1371/journal.pone.0085485
49 https://doi.org/10.1371/journal.pone.0184439
50 https://doi.org/10.3390/cancers5010149
51 https://doi.org/10.7150/jca.16901
52 schema:datePublished 2019-12
53 schema:datePublishedReg 2019-12-01
54 schema:description Cancer-associated fibroblasts (CAFs) play critical roles in the tumor progression. However, it remains unclear how cancer cells migrate in the three-dimensional (3D) matrix of cancer tissues and how CAFs support the cancer invasion. Here we propose a novel mechanism of fibroblast-dependent cancer cell invasion in the 3D collagen matrix. Human cancer cell lines from the pancreas (Panc-1), lung (A549) and some other organs actively adhered to normal fibroblasts and primary lung CAFs in cultures. To show its significance in tumor invasion, we designed a new invasion assay in which homogeneous microspheroids consisting of cancer cells and fibroblasts were embedded into collagen gel. Time-lapse experiments showed that cancer cells adhered to and quickly migrated on the long protrusions of fibroblasts in the 3D collagen matrix. Fibroblast-free cancer cells poorly invaded the matrix. Experiments with function-blocking antibodies, siRNAs, and immunocytochemistry demonstrated that cancer cells adhered to fibroblasts through integrin α5β1-mediated binding to fibronectin on the surface of fibroblasts. Immunochemical analyses of the co-cultures and lung cancers suggested that cancer cells could acquire the migratory force by the fibronectin/integrin signaling. Our results also revealed that the fibroblast-bound fibronectin was a preferential substrate for cancer cells to migrate in the collagen matrix.
55 schema:genre research_article
56 schema:inLanguage en
57 schema:isAccessibleForFree true
58 schema:isPartOf N934ca281879b41609de7507c762eb7a4
59 Nff4b3e0242e8452ab6792771a8ac39e0
60 sg:journal.1045337
61 schema:name Cancer cell migration on elongate protrusions of fibroblasts in collagen matrix
62 schema:pagination 292
63 schema:productId N1ed13cf530cf48bcbd1766455f6ab4c4
64 N27a76fe4946c46368d238490e64296fa
65 N47d02727c17d4e62a7f7b3155b78f86d
66 N8341191e088b4f2dbcb78bc3d3d56ddf
67 Nf96c78c5ae5c4047aa3683e36eb0dbd5
68 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111603390
69 https://doi.org/10.1038/s41598-018-36646-z
70 schema:sdDatePublished 2019-04-11T08:55
71 schema:sdLicense https://scigraph.springernature.com/explorer/license/
72 schema:sdPublisher N799628186e894a6b9f2ca15a1a12063d
73 schema:url https://www.nature.com/articles/s41598-018-36646-z
74 sgo:license sg:explorer/license/
75 sgo:sdDataset articles
76 rdf:type schema:ScholarlyArticle
77 N1ed13cf530cf48bcbd1766455f6ab4c4 schema:name nlm_unique_id
78 schema:value 101563288
79 rdf:type schema:PropertyValue
80 N27a76fe4946c46368d238490e64296fa schema:name dimensions_id
81 schema:value pub.1111603390
82 rdf:type schema:PropertyValue
83 N4356367ee1cd4465af548f9065f44916 schema:name Kumagai Fellow laboratory, Innovative Technology Research Center, Technology General Division, AGC Inc, 1150 Hazawa-cho, Kanagawa-ku, 221-8515, Yokohama, Japan
84 rdf:type schema:Organization
85 N47d02727c17d4e62a7f7b3155b78f86d schema:name pubmed_id
86 schema:value 30670761
87 rdf:type schema:PropertyValue
88 N5655b5822a144b5cbba07faa23331710 rdf:first Nc3b14db5e2ec470ebbdf7c8816bd94e3
89 rdf:rest Nea740795b6044d1faf4f700393b0444c
90 N799628186e894a6b9f2ca15a1a12063d schema:name Springer Nature - SN SciGraph project
91 rdf:type schema:Organization
92 N8341191e088b4f2dbcb78bc3d3d56ddf schema:name doi
93 schema:value 10.1038/s41598-018-36646-z
94 rdf:type schema:PropertyValue
95 N8b1bae0d716e49db943f2cbd7756050d rdf:first sg:person.0664021054.00
96 rdf:rest Nf2e6d8124c884410b82ebeae08e29ff4
97 N934ca281879b41609de7507c762eb7a4 schema:issueNumber 1
98 rdf:type schema:PublicationIssue
99 Nacfae35e72524db0bb03e87f69582439 rdf:first sg:person.01216151317.37
100 rdf:rest N5655b5822a144b5cbba07faa23331710
101 Nc3b14db5e2ec470ebbdf7c8816bd94e3 schema:affiliation N4356367ee1cd4465af548f9065f44916
102 schema:familyName Kumagai
103 schema:givenName Hiromichi
104 rdf:type schema:Person
105 Nea740795b6044d1faf4f700393b0444c rdf:first sg:person.01346741003.05
106 rdf:rest rdf:nil
107 Nf2e6d8124c884410b82ebeae08e29ff4 rdf:first sg:person.01257503016.45
108 rdf:rest Nf72d8e0bad764192817490b5e076f55a
109 Nf72d8e0bad764192817490b5e076f55a rdf:first sg:person.0721646643.33
110 rdf:rest Nacfae35e72524db0bb03e87f69582439
111 Nf96c78c5ae5c4047aa3683e36eb0dbd5 schema:name readcube_id
112 schema:value 53bf04376370d908ecadaee6731ad7c0d69561b5cf726861095faba2e7292551
113 rdf:type schema:PropertyValue
114 Nff4b3e0242e8452ab6792771a8ac39e0 schema:volumeNumber 9
115 rdf:type schema:PublicationVolume
116 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
117 schema:name Medical and Health Sciences
118 rdf:type schema:DefinedTerm
119 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
120 schema:name Oncology and Carcinogenesis
121 rdf:type schema:DefinedTerm
122 sg:grant.6139010 http://pending.schema.org/fundedItem sg:pub.10.1038/s41598-018-36646-z
123 rdf:type schema:MonetaryGrant
124 sg:journal.1045337 schema:issn 2045-2322
125 schema:name Scientific Reports
126 rdf:type schema:Periodical
127 sg:person.01216151317.37 schema:affiliation https://www.grid.ac/institutes/grid.258269.2
128 schema:familyName Togo
129 schema:givenName Shinsaku
130 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01216151317.37
131 rdf:type schema:Person
132 sg:person.01257503016.45 schema:affiliation https://www.grid.ac/institutes/grid.412857.d
133 schema:familyName Oyanagi
134 schema:givenName Jun
135 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01257503016.45
136 rdf:type schema:Person
137 sg:person.01346741003.05 schema:affiliation https://www.grid.ac/institutes/grid.414944.8
138 schema:familyName Miyagi
139 schema:givenName Yohei
140 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01346741003.05
141 rdf:type schema:Person
142 sg:person.0664021054.00 schema:affiliation https://www.grid.ac/institutes/grid.268441.d
143 schema:familyName Miyazaki
144 schema:givenName Kaoru
145 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0664021054.00
146 rdf:type schema:Person
147 sg:person.0721646643.33 schema:affiliation https://www.grid.ac/institutes/grid.414944.8
148 schema:familyName Hoshino
149 schema:givenName Daisuke
150 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0721646643.33
151 rdf:type schema:Person
152 sg:pub.10.1038/32433 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002914091
153 https://doi.org/10.1038/32433
154 rdf:type schema:CreativeWork
155 sg:pub.10.1038/35077241 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037985715
156 https://doi.org/10.1038/35077241
157 rdf:type schema:CreativeWork
158 sg:pub.10.1038/367193a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029630298
159 https://doi.org/10.1038/367193a0
160 rdf:type schema:CreativeWork
161 sg:pub.10.1038/ncb1658 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000085767
162 https://doi.org/10.1038/ncb1658
163 rdf:type schema:CreativeWork
164 sg:pub.10.1038/ncb3478 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083850893
165 https://doi.org/10.1038/ncb3478
166 rdf:type schema:CreativeWork
167 sg:pub.10.1038/ncomms14105 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004529539
168 https://doi.org/10.1038/ncomms14105
169 rdf:type schema:CreativeWork
170 sg:pub.10.1038/nrc.2016.73 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047362535
171 https://doi.org/10.1038/nrc.2016.73
172 rdf:type schema:CreativeWork
173 sg:pub.10.1038/nrc2067 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026986001
174 https://doi.org/10.1038/nrc2067
175 rdf:type schema:CreativeWork
176 sg:pub.10.1038/nrc3603 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007099448
177 https://doi.org/10.1038/nrc3603
178 rdf:type schema:CreativeWork
179 sg:pub.10.1038/nrm1261 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036162157
180 https://doi.org/10.1038/nrm1261
181 rdf:type schema:CreativeWork
182 sg:pub.10.1038/nrm2457 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024216072
183 https://doi.org/10.1038/nrm2457
184 rdf:type schema:CreativeWork
185 sg:pub.10.1038/sj.bjc.6601611 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017708276
186 https://doi.org/10.1038/sj.bjc.6601611
187 rdf:type schema:CreativeWork
188 sg:pub.10.1038/sj.bjc.6605309 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032110575
189 https://doi.org/10.1038/sj.bjc.6605309
190 rdf:type schema:CreativeWork
191 sg:pub.10.1038/srep31063 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037848267
192 https://doi.org/10.1038/srep31063
193 rdf:type schema:CreativeWork
194 sg:pub.10.1186/1476-4598-9-152 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026320931
195 https://doi.org/10.1186/1476-4598-9-152
196 rdf:type schema:CreativeWork
197 https://app.dimensions.ai/details/publication/pub.1074533865 schema:CreativeWork
198 https://app.dimensions.ai/details/publication/pub.1074953870 schema:CreativeWork
199 https://app.dimensions.ai/details/publication/pub.1079909295 schema:CreativeWork
200 https://app.dimensions.ai/details/publication/pub.1082749157 schema:CreativeWork
201 https://doi.org/10.1002/ijc.23925 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050970619
202 rdf:type schema:CreativeWork
203 https://doi.org/10.1002/jcp.21029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021824421
204 rdf:type schema:CreativeWork
205 https://doi.org/10.1006/excr.2000.5133 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017438163
206 rdf:type schema:CreativeWork
207 https://doi.org/10.1016/j.cell.2005.02.034 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047850175
208 rdf:type schema:CreativeWork
209 https://doi.org/10.1016/j.cell.2009.10.027 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048663939
210 rdf:type schema:CreativeWork
211 https://doi.org/10.1016/j.matbio.2005.06.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039622839
212 rdf:type schema:CreativeWork
213 https://doi.org/10.1016/j.yexcr.2014.04.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015313361
214 rdf:type schema:CreativeWork
215 https://doi.org/10.1073/pnas.90.24.11767 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046820917
216 rdf:type schema:CreativeWork
217 https://doi.org/10.1074/jbc.m201100200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014016926
218 rdf:type schema:CreativeWork
219 https://doi.org/10.1083/jcb.148.5.1075 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045479444
220 rdf:type schema:CreativeWork
221 https://doi.org/10.1083/jcb.201106023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006099902
222 rdf:type schema:CreativeWork
223 https://doi.org/10.1083/jcb.201702033 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091899578
224 rdf:type schema:CreativeWork
225 https://doi.org/10.1083/jcb.201704053 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092171666
226 rdf:type schema:CreativeWork
227 https://doi.org/10.1091/mbc.e17-02-0126 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091614513
228 rdf:type schema:CreativeWork
229 https://doi.org/10.1111/j.1349-7006.2006.00150.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1011563868
230 rdf:type schema:CreativeWork
231 https://doi.org/10.1111/j.1349-7006.2012.02203.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1044427499
232 rdf:type schema:CreativeWork
233 https://doi.org/10.1126/science.2821619 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062563620
234 rdf:type schema:CreativeWork
235 https://doi.org/10.1158/0008-5472.can-06-2768 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027594889
236 rdf:type schema:CreativeWork
237 https://doi.org/10.1158/0008-5472.can-09-2319 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019143379
238 rdf:type schema:CreativeWork
239 https://doi.org/10.1158/0008-5472.can-15-2351 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063215970
240 rdf:type schema:CreativeWork
241 https://doi.org/10.1183/09031936.04.00143703 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008780657
242 rdf:type schema:CreativeWork
243 https://doi.org/10.1196/annals.1294.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050919415
244 rdf:type schema:CreativeWork
245 https://doi.org/10.1242/jcs.071985 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017020543
246 rdf:type schema:CreativeWork
247 https://doi.org/10.1371/journal.pone.0033289 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052451352
248 rdf:type schema:CreativeWork
249 https://doi.org/10.1371/journal.pone.0053209 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052043729
250 rdf:type schema:CreativeWork
251 https://doi.org/10.1371/journal.pone.0085485 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013304007
252 rdf:type schema:CreativeWork
253 https://doi.org/10.1371/journal.pone.0184439 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091887339
254 rdf:type schema:CreativeWork
255 https://doi.org/10.3390/cancers5010149 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023370398
256 rdf:type schema:CreativeWork
257 https://doi.org/10.7150/jca.16901 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084480881
258 rdf:type schema:CreativeWork
259 https://www.grid.ac/institutes/grid.258269.2 schema:alternateName Juntendo University
260 schema:name Division of Respiratory Medicine, Juntendo University of Medicine, 3-1-3 Hongo, Bunkyo-Ku, 113-8431, Tokyo, Japan
261 rdf:type schema:Organization
262 https://www.grid.ac/institutes/grid.268441.d schema:alternateName Yokohama City University
263 schema:name Division of Cell Biology, Kihara Institute for Biological Research, Yokohama City University, 641-12 Maioka-cho, Totsuka-ku, 244-0813, Yokohama, Japan
264 Molecular Pathology and Genetics Division, Kanagawa Cancer Center Research Institute, 2-3-2 Nakao, Asahi-ku, 241-8515, Yokohama, Japan
265 rdf:type schema:Organization
266 https://www.grid.ac/institutes/grid.412857.d schema:alternateName Wakayama Medical University
267 schema:name Division of Cell Biology, Kihara Institute for Biological Research, Yokohama City University, 641-12 Maioka-cho, Totsuka-ku, 244-0813, Yokohama, Japan
268 Internal Medicine III, Wakayama Medical University, 811-1 Kimiidera, 641-8509, Wakayama, Japan
269 rdf:type schema:Organization
270 https://www.grid.ac/institutes/grid.414944.8 schema:alternateName Kanagawa Prefectural Hospital
271 schema:name Cancer Cell Biology Division, Kanagawa Cancer Center Research Institute, 2-3-2 Nakao, Asahi-ku, 241-8515, Yokohama, Japan
272 Molecular Pathology and Genetics Division, Kanagawa Cancer Center Research Institute, 2-3-2 Nakao, Asahi-ku, 241-8515, Yokohama, Japan
273 rdf:type schema:Organization
 




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


...