A micron-scale surface topography design reducing cell adhesion to implanted materials View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Francesco Robotti, Simone Bottan, Federica Fraschetti, Anna Mallone, Giovanni Pellegrini, Nicole Lindenblatt, Christoph Starck, Volkmar Falk, Dimos Poulikakos, Aldo Ferrari

ABSTRACT

The micron-scale surface topography of implanted materials represents a complementary pathway, independent of the material biochemical properties, regulating the process of biological recognition by cells which mediate the inflammatory response to foreign bodies. Here we explore a rational design of surface modifications in micron range to optimize a topography comprised of a symmetrical array of hexagonal pits interfering with focal adhesion establishment and maturation. When implemented on silicones and hydrogels in vitro, the anti-adhesive topography significantly reduces the adhesion of macrophages and fibroblasts and their activation toward effectors of fibrosis. In addition, long-term interaction of the cells with anti-adhesive topographies markedly hampers cell proliferation, correlating the physical inhibition of adhesion and complete spreading with the natural progress of the cell cycle. This solution for reduction in cell adhesion can be directly integrated on the outer surface of silicone implants, as well as an additive protective conformal microstructured biocellulose layer for materials that cannot be directly microstructured. Moreover, the original geometry imposed during manufacturing of the microstructured biocellulose membranes are fully retained upon in vivo exposure, suggesting a long lasting performance of these topographical features after implantation. More... »

PAGES

10887

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41598-018-29167-2

DOI

http://dx.doi.org/10.1038/s41598-018-29167-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1105573345

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30022037


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/2008/0912", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Materials Engineering", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/09", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Engineering", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Swiss Federal Institute of Technology in Zurich", 
          "id": "https://www.grid.ac/institutes/grid.5801.c", 
          "name": [
            "Laboratory of Thermodynamics in Emerging Technologies, Department of Mechanical and Process Engineering, ETH Zurich, Sonneggstrasse 3, CH-8092, Zurich, Switzerland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Robotti", 
        "givenName": "Francesco", 
        "id": "sg:person.01346374424.51", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01346374424.51"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Zurich", 
          "id": "https://www.grid.ac/institutes/grid.7400.3", 
          "name": [
            "Wyss Zurich, ETH Zurich/University of Zurich, Zurich, Switzerland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bottan", 
        "givenName": "Simone", 
        "id": "sg:person.0640705471.58", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0640705471.58"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Swiss Federal Institute of Technology in Zurich", 
          "id": "https://www.grid.ac/institutes/grid.5801.c", 
          "name": [
            "Laboratory of Thermodynamics in Emerging Technologies, Department of Mechanical and Process Engineering, ETH Zurich, Sonneggstrasse 3, CH-8092, Zurich, Switzerland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fraschetti", 
        "givenName": "Federica", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Zurich", 
          "id": "https://www.grid.ac/institutes/grid.7400.3", 
          "name": [
            "Institute for Regenerative Medicine, University of Zurich, Zurich, Switzerland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mallone", 
        "givenName": "Anna", 
        "id": "sg:person.016522154361.58", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016522154361.58"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Zurich", 
          "id": "https://www.grid.ac/institutes/grid.7400.3", 
          "name": [
            "Laboratory for Animal Model Pathology, Institute of Veterinary Pathology, Vetsuisse Faculty, University of Zurich, Zurich, Switzerland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pellegrini", 
        "givenName": "Giovanni", 
        "id": "sg:person.01106114713.36", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01106114713.36"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University Hospital of Zurich", 
          "id": "https://www.grid.ac/institutes/grid.412004.3", 
          "name": [
            "Department of Plastic and Hand Surgery, University Hospital Zurich, Zurich, Switzerland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lindenblatt", 
        "givenName": "Nicole", 
        "id": "sg:person.0662146330.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0662146330.40"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Deutsches Herzzentrum Berlin", 
          "id": "https://www.grid.ac/institutes/grid.418209.6", 
          "name": [
            "Department of Cardiothoracic and Vascular Surgery, German Heart Institute Berlin, Berlin, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Starck", 
        "givenName": "Christoph", 
        "id": "sg:person.0703115035.71", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0703115035.71"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Deutsches Herzzentrum Berlin", 
          "id": "https://www.grid.ac/institutes/grid.418209.6", 
          "name": [
            "Department of Cardiothoracic and Vascular Surgery, German Heart Institute Berlin, Berlin, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Falk", 
        "givenName": "Volkmar", 
        "id": "sg:person.0747301606.13", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0747301606.13"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Swiss Federal Institute of Technology in Zurich", 
          "id": "https://www.grid.ac/institutes/grid.5801.c", 
          "name": [
            "Laboratory of Thermodynamics in Emerging Technologies, Department of Mechanical and Process Engineering, ETH Zurich, Sonneggstrasse 3, CH-8092, Zurich, Switzerland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Poulikakos", 
        "givenName": "Dimos", 
        "id": "sg:person.01034756675.69", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01034756675.69"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Swiss Federal Institute of Technology in Zurich", 
          "id": "https://www.grid.ac/institutes/grid.5801.c", 
          "name": [
            "Laboratory of Thermodynamics in Emerging Technologies, Department of Mechanical and Process Engineering, ETH Zurich, Sonneggstrasse 3, CH-8092, Zurich, Switzerland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ferrari", 
        "givenName": "Aldo", 
        "id": "sg:person.01251377132.15", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01251377132.15"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/1054-8807(93)90045-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000642761"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature02388", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005911953", 
          "https://doi.org/10.1038/nature02388"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature02388", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005911953", 
          "https://doi.org/10.1038/nature02388"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature02388", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005911953", 
          "https://doi.org/10.1038/nature02388"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c6bm00425c", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009033635"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/smll.201000193", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009482846"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/smll.201000193", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009482846"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/pace.12184", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009596043"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/term.334", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011997959"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmat2013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012162596", 
          "https://doi.org/10.1038/nmat2013"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0960-8524(02)00176-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012179797"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0960-8524(02)00176-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012179797"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00253-014-5819-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012266595", 
          "https://doi.org/10.1007/s00253-014-5819-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c1sm05191a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013717620"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nprot.2009.234", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018932644", 
          "https://doi.org/10.1038/nprot.2009.234"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nprot.2009.234", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018932644", 
          "https://doi.org/10.1038/nprot.2009.234"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jss.2014.02.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022148803"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/adma.200306613", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022935171"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmat3777", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023032474", 
          "https://doi.org/10.1038/nmat3777"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/acs.biomac.5b00727", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024091312"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.nantod.2010.01.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024681770"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s000180050498", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024872680", 
          "https://doi.org/10.1007/s000180050498"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jbm.a.30570", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024995091"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jbm.a.30570", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024995091"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nbt.2600", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025274160", 
          "https://doi.org/10.1038/nbt.2600"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bit.21314", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028071347"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.pmatsci.2012.09.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028160470"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.93.9.4219", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030029217"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ncomms12814", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030237062", 
          "https://doi.org/10.1038/ncomms12814"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c2sm00030j", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031152325"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1098/rsta.2010.0001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032475274"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00011-007-6115-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032970736", 
          "https://doi.org/10.1007/s00011-007-6115-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4049/jimmunol.177.10.7303", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036773180"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.smim.2007.11.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041601862"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1106587", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045265288"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejpb.2013.08.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049020779"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0091-679x(07)83005-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049620296"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.272.23.15036", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052714625"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0142-9612(99)00008-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053263361"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0008-6363(98)00065-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054580032"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl103349s", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056218272"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl103349s", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056218272"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl4047398", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056220604"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nn5036125", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056226223"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1089/ten.tea.2010.0273", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059315652"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4049/jimmunol.173.1.50", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1076855483"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12541-017-0031-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083543325", 
          "https://doi.org/10.1007/s12541-017-0031-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12541-017-0031-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083543325", 
          "https://doi.org/10.1007/s12541-017-0031-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.polymertesting.2017.03.018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084102869"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/acsbiomaterials.7b00104", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085305224"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-12", 
    "datePublishedReg": "2018-12-01", 
    "description": "The micron-scale surface topography of implanted materials represents a complementary pathway, independent of the material biochemical properties, regulating the process of biological recognition by cells which mediate the inflammatory response to foreign bodies. Here we explore a rational design of surface modifications in micron range to optimize a topography comprised of a symmetrical array of hexagonal pits interfering with focal adhesion establishment and maturation. When implemented on silicones and hydrogels in vitro, the anti-adhesive topography significantly reduces the adhesion of macrophages and fibroblasts and their activation toward effectors of fibrosis. In addition, long-term interaction of the cells with anti-adhesive topographies markedly hampers cell proliferation, correlating the physical inhibition of adhesion and complete spreading with the natural progress of the cell cycle. This solution for reduction in cell adhesion can be directly integrated on the outer surface of silicone implants, as well as an additive protective conformal microstructured biocellulose layer for materials that cannot be directly microstructured. Moreover, the original geometry imposed during manufacturing of the microstructured biocellulose membranes are fully retained upon in vivo exposure, suggesting a long lasting performance of these topographical features after implantation.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/s41598-018-29167-2", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1045337", 
        "issn": [
          "2045-2322"
        ], 
        "name": "Scientific Reports", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "8"
      }
    ], 
    "name": "A micron-scale surface topography design reducing cell adhesion to implanted materials", 
    "pagination": "10887", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "2331d527f7a6429a5733489a6e611ff01b52f8746d6d0adf9b9144af1be086d3"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30022037"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101563288"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/s41598-018-29167-2"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1105573345"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/s41598-018-29167-2", 
      "https://app.dimensions.ai/details/publication/pub.1105573345"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T15:10", 
    "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_8663_00000571.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/s41598-018-29167-2"
  }
]
 

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/s41598-018-29167-2'

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/s41598-018-29167-2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-29167-2'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-29167-2'


 

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

277 TRIPLES      21 PREDICATES      71 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/s41598-018-29167-2 schema:about anzsrc-for:09
2 anzsrc-for:0912
3 schema:author N7f4bd48d75f94315aa5c2edca4d6acce
4 schema:citation sg:pub.10.1007/s00011-007-6115-5
5 sg:pub.10.1007/s000180050498
6 sg:pub.10.1007/s00253-014-5819-z
7 sg:pub.10.1007/s12541-017-0031-6
8 sg:pub.10.1038/nature02388
9 sg:pub.10.1038/nbt.2600
10 sg:pub.10.1038/ncomms12814
11 sg:pub.10.1038/nmat2013
12 sg:pub.10.1038/nmat3777
13 sg:pub.10.1038/nprot.2009.234
14 https://doi.org/10.1002/adma.200306613
15 https://doi.org/10.1002/bit.21314
16 https://doi.org/10.1002/jbm.a.30570
17 https://doi.org/10.1002/smll.201000193
18 https://doi.org/10.1002/term.334
19 https://doi.org/10.1016/1054-8807(93)90045-4
20 https://doi.org/10.1016/j.ejpb.2013.08.008
21 https://doi.org/10.1016/j.jss.2014.02.011
22 https://doi.org/10.1016/j.nantod.2010.01.001
23 https://doi.org/10.1016/j.pmatsci.2012.09.001
24 https://doi.org/10.1016/j.polymertesting.2017.03.018
25 https://doi.org/10.1016/j.smim.2007.11.004
26 https://doi.org/10.1016/s0008-6363(98)00065-0
27 https://doi.org/10.1016/s0091-679x(07)83005-6
28 https://doi.org/10.1016/s0142-9612(99)00008-3
29 https://doi.org/10.1016/s0960-8524(02)00176-1
30 https://doi.org/10.1021/acs.biomac.5b00727
31 https://doi.org/10.1021/acsbiomaterials.7b00104
32 https://doi.org/10.1021/nl103349s
33 https://doi.org/10.1021/nl4047398
34 https://doi.org/10.1021/nn5036125
35 https://doi.org/10.1039/c1sm05191a
36 https://doi.org/10.1039/c2sm00030j
37 https://doi.org/10.1039/c6bm00425c
38 https://doi.org/10.1073/pnas.93.9.4219
39 https://doi.org/10.1074/jbc.272.23.15036
40 https://doi.org/10.1089/ten.tea.2010.0273
41 https://doi.org/10.1098/rsta.2010.0001
42 https://doi.org/10.1111/pace.12184
43 https://doi.org/10.1126/science.1106587
44 https://doi.org/10.4049/jimmunol.173.1.50
45 https://doi.org/10.4049/jimmunol.177.10.7303
46 schema:datePublished 2018-12
47 schema:datePublishedReg 2018-12-01
48 schema:description The micron-scale surface topography of implanted materials represents a complementary pathway, independent of the material biochemical properties, regulating the process of biological recognition by cells which mediate the inflammatory response to foreign bodies. Here we explore a rational design of surface modifications in micron range to optimize a topography comprised of a symmetrical array of hexagonal pits interfering with focal adhesion establishment and maturation. When implemented on silicones and hydrogels in vitro, the anti-adhesive topography significantly reduces the adhesion of macrophages and fibroblasts and their activation toward effectors of fibrosis. In addition, long-term interaction of the cells with anti-adhesive topographies markedly hampers cell proliferation, correlating the physical inhibition of adhesion and complete spreading with the natural progress of the cell cycle. This solution for reduction in cell adhesion can be directly integrated on the outer surface of silicone implants, as well as an additive protective conformal microstructured biocellulose layer for materials that cannot be directly microstructured. Moreover, the original geometry imposed during manufacturing of the microstructured biocellulose membranes are fully retained upon in vivo exposure, suggesting a long lasting performance of these topographical features after implantation.
49 schema:genre research_article
50 schema:inLanguage en
51 schema:isAccessibleForFree true
52 schema:isPartOf N1ad3938712d84028beb953ba4bd36870
53 N6d56d789345d4e18a525b6d37e85268b
54 sg:journal.1045337
55 schema:name A micron-scale surface topography design reducing cell adhesion to implanted materials
56 schema:pagination 10887
57 schema:productId N20ae830e8a6a410daaa122e8558fbb49
58 N34e4046955764e8093a35c6dc84a5c84
59 N38bb844c5545426c921513d7f746a440
60 N748fefbe432041da9616cc7a4f4a8b68
61 Na407a327b86147a5809adbf79a4dd72e
62 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105573345
63 https://doi.org/10.1038/s41598-018-29167-2
64 schema:sdDatePublished 2019-04-10T15:10
65 schema:sdLicense https://scigraph.springernature.com/explorer/license/
66 schema:sdPublisher Nbcededc6e71b4be48d19226ab1cd447b
67 schema:url https://www.nature.com/articles/s41598-018-29167-2
68 sgo:license sg:explorer/license/
69 sgo:sdDataset articles
70 rdf:type schema:ScholarlyArticle
71 N16cc4edee6084b79a009f78fdcf35d8d rdf:first sg:person.0662146330.40
72 rdf:rest Naf06e034009d481ba2f4f7bdc026d2da
73 N1ad3938712d84028beb953ba4bd36870 schema:issueNumber 1
74 rdf:type schema:PublicationIssue
75 N1b61a91c8fc1449d9c17c82cf9f0b7b2 rdf:first sg:person.0747301606.13
76 rdf:rest N234e48666fee405e91579a7a02d047b4
77 N20ae830e8a6a410daaa122e8558fbb49 schema:name readcube_id
78 schema:value 2331d527f7a6429a5733489a6e611ff01b52f8746d6d0adf9b9144af1be086d3
79 rdf:type schema:PropertyValue
80 N234e48666fee405e91579a7a02d047b4 rdf:first sg:person.01034756675.69
81 rdf:rest N7f634b49a1c94a09a0afca1923e7e96a
82 N34e4046955764e8093a35c6dc84a5c84 schema:name dimensions_id
83 schema:value pub.1105573345
84 rdf:type schema:PropertyValue
85 N38bb844c5545426c921513d7f746a440 schema:name nlm_unique_id
86 schema:value 101563288
87 rdf:type schema:PropertyValue
88 N58cff981b4cf4fddb15bce60192c10e2 rdf:first sg:person.016522154361.58
89 rdf:rest Nf802cc6fa0244a33a94fb2dbdbd3ac5a
90 N5daa53db1c1f4d4682faccab81097771 rdf:first N6253d11ebed44d20b3e385195c16d2bc
91 rdf:rest N58cff981b4cf4fddb15bce60192c10e2
92 N6253d11ebed44d20b3e385195c16d2bc schema:affiliation https://www.grid.ac/institutes/grid.5801.c
93 schema:familyName Fraschetti
94 schema:givenName Federica
95 rdf:type schema:Person
96 N6d56d789345d4e18a525b6d37e85268b schema:volumeNumber 8
97 rdf:type schema:PublicationVolume
98 N748fefbe432041da9616cc7a4f4a8b68 schema:name pubmed_id
99 schema:value 30022037
100 rdf:type schema:PropertyValue
101 N7f4bd48d75f94315aa5c2edca4d6acce rdf:first sg:person.01346374424.51
102 rdf:rest N98b2aab1e7014d61b1bced1333c62e20
103 N7f634b49a1c94a09a0afca1923e7e96a rdf:first sg:person.01251377132.15
104 rdf:rest rdf:nil
105 N98b2aab1e7014d61b1bced1333c62e20 rdf:first sg:person.0640705471.58
106 rdf:rest N5daa53db1c1f4d4682faccab81097771
107 Na407a327b86147a5809adbf79a4dd72e schema:name doi
108 schema:value 10.1038/s41598-018-29167-2
109 rdf:type schema:PropertyValue
110 Naf06e034009d481ba2f4f7bdc026d2da rdf:first sg:person.0703115035.71
111 rdf:rest N1b61a91c8fc1449d9c17c82cf9f0b7b2
112 Nbcededc6e71b4be48d19226ab1cd447b schema:name Springer Nature - SN SciGraph project
113 rdf:type schema:Organization
114 Nf802cc6fa0244a33a94fb2dbdbd3ac5a rdf:first sg:person.01106114713.36
115 rdf:rest N16cc4edee6084b79a009f78fdcf35d8d
116 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
117 schema:name Engineering
118 rdf:type schema:DefinedTerm
119 anzsrc-for:0912 schema:inDefinedTermSet anzsrc-for:
120 schema:name Materials Engineering
121 rdf:type schema:DefinedTerm
122 sg:journal.1045337 schema:issn 2045-2322
123 schema:name Scientific Reports
124 rdf:type schema:Periodical
125 sg:person.01034756675.69 schema:affiliation https://www.grid.ac/institutes/grid.5801.c
126 schema:familyName Poulikakos
127 schema:givenName Dimos
128 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01034756675.69
129 rdf:type schema:Person
130 sg:person.01106114713.36 schema:affiliation https://www.grid.ac/institutes/grid.7400.3
131 schema:familyName Pellegrini
132 schema:givenName Giovanni
133 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01106114713.36
134 rdf:type schema:Person
135 sg:person.01251377132.15 schema:affiliation https://www.grid.ac/institutes/grid.5801.c
136 schema:familyName Ferrari
137 schema:givenName Aldo
138 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01251377132.15
139 rdf:type schema:Person
140 sg:person.01346374424.51 schema:affiliation https://www.grid.ac/institutes/grid.5801.c
141 schema:familyName Robotti
142 schema:givenName Francesco
143 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01346374424.51
144 rdf:type schema:Person
145 sg:person.016522154361.58 schema:affiliation https://www.grid.ac/institutes/grid.7400.3
146 schema:familyName Mallone
147 schema:givenName Anna
148 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016522154361.58
149 rdf:type schema:Person
150 sg:person.0640705471.58 schema:affiliation https://www.grid.ac/institutes/grid.7400.3
151 schema:familyName Bottan
152 schema:givenName Simone
153 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0640705471.58
154 rdf:type schema:Person
155 sg:person.0662146330.40 schema:affiliation https://www.grid.ac/institutes/grid.412004.3
156 schema:familyName Lindenblatt
157 schema:givenName Nicole
158 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0662146330.40
159 rdf:type schema:Person
160 sg:person.0703115035.71 schema:affiliation https://www.grid.ac/institutes/grid.418209.6
161 schema:familyName Starck
162 schema:givenName Christoph
163 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0703115035.71
164 rdf:type schema:Person
165 sg:person.0747301606.13 schema:affiliation https://www.grid.ac/institutes/grid.418209.6
166 schema:familyName Falk
167 schema:givenName Volkmar
168 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0747301606.13
169 rdf:type schema:Person
170 sg:pub.10.1007/s00011-007-6115-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032970736
171 https://doi.org/10.1007/s00011-007-6115-5
172 rdf:type schema:CreativeWork
173 sg:pub.10.1007/s000180050498 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024872680
174 https://doi.org/10.1007/s000180050498
175 rdf:type schema:CreativeWork
176 sg:pub.10.1007/s00253-014-5819-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1012266595
177 https://doi.org/10.1007/s00253-014-5819-z
178 rdf:type schema:CreativeWork
179 sg:pub.10.1007/s12541-017-0031-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083543325
180 https://doi.org/10.1007/s12541-017-0031-6
181 rdf:type schema:CreativeWork
182 sg:pub.10.1038/nature02388 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005911953
183 https://doi.org/10.1038/nature02388
184 rdf:type schema:CreativeWork
185 sg:pub.10.1038/nbt.2600 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025274160
186 https://doi.org/10.1038/nbt.2600
187 rdf:type schema:CreativeWork
188 sg:pub.10.1038/ncomms12814 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030237062
189 https://doi.org/10.1038/ncomms12814
190 rdf:type schema:CreativeWork
191 sg:pub.10.1038/nmat2013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012162596
192 https://doi.org/10.1038/nmat2013
193 rdf:type schema:CreativeWork
194 sg:pub.10.1038/nmat3777 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023032474
195 https://doi.org/10.1038/nmat3777
196 rdf:type schema:CreativeWork
197 sg:pub.10.1038/nprot.2009.234 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018932644
198 https://doi.org/10.1038/nprot.2009.234
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1002/adma.200306613 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022935171
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1002/bit.21314 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028071347
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1002/jbm.a.30570 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024995091
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1002/smll.201000193 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009482846
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1002/term.334 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011997959
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1016/1054-8807(93)90045-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000642761
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1016/j.ejpb.2013.08.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049020779
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1016/j.jss.2014.02.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022148803
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1016/j.nantod.2010.01.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024681770
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1016/j.pmatsci.2012.09.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028160470
219 rdf:type schema:CreativeWork
220 https://doi.org/10.1016/j.polymertesting.2017.03.018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084102869
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1016/j.smim.2007.11.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041601862
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1016/s0008-6363(98)00065-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054580032
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1016/s0091-679x(07)83005-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049620296
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1016/s0142-9612(99)00008-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053263361
229 rdf:type schema:CreativeWork
230 https://doi.org/10.1016/s0960-8524(02)00176-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012179797
231 rdf:type schema:CreativeWork
232 https://doi.org/10.1021/acs.biomac.5b00727 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024091312
233 rdf:type schema:CreativeWork
234 https://doi.org/10.1021/acsbiomaterials.7b00104 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085305224
235 rdf:type schema:CreativeWork
236 https://doi.org/10.1021/nl103349s schema:sameAs https://app.dimensions.ai/details/publication/pub.1056218272
237 rdf:type schema:CreativeWork
238 https://doi.org/10.1021/nl4047398 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056220604
239 rdf:type schema:CreativeWork
240 https://doi.org/10.1021/nn5036125 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056226223
241 rdf:type schema:CreativeWork
242 https://doi.org/10.1039/c1sm05191a schema:sameAs https://app.dimensions.ai/details/publication/pub.1013717620
243 rdf:type schema:CreativeWork
244 https://doi.org/10.1039/c2sm00030j schema:sameAs https://app.dimensions.ai/details/publication/pub.1031152325
245 rdf:type schema:CreativeWork
246 https://doi.org/10.1039/c6bm00425c schema:sameAs https://app.dimensions.ai/details/publication/pub.1009033635
247 rdf:type schema:CreativeWork
248 https://doi.org/10.1073/pnas.93.9.4219 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030029217
249 rdf:type schema:CreativeWork
250 https://doi.org/10.1074/jbc.272.23.15036 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052714625
251 rdf:type schema:CreativeWork
252 https://doi.org/10.1089/ten.tea.2010.0273 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059315652
253 rdf:type schema:CreativeWork
254 https://doi.org/10.1098/rsta.2010.0001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032475274
255 rdf:type schema:CreativeWork
256 https://doi.org/10.1111/pace.12184 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009596043
257 rdf:type schema:CreativeWork
258 https://doi.org/10.1126/science.1106587 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045265288
259 rdf:type schema:CreativeWork
260 https://doi.org/10.4049/jimmunol.173.1.50 schema:sameAs https://app.dimensions.ai/details/publication/pub.1076855483
261 rdf:type schema:CreativeWork
262 https://doi.org/10.4049/jimmunol.177.10.7303 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036773180
263 rdf:type schema:CreativeWork
264 https://www.grid.ac/institutes/grid.412004.3 schema:alternateName University Hospital of Zurich
265 schema:name Department of Plastic and Hand Surgery, University Hospital Zurich, Zurich, Switzerland
266 rdf:type schema:Organization
267 https://www.grid.ac/institutes/grid.418209.6 schema:alternateName Deutsches Herzzentrum Berlin
268 schema:name Department of Cardiothoracic and Vascular Surgery, German Heart Institute Berlin, Berlin, Germany
269 rdf:type schema:Organization
270 https://www.grid.ac/institutes/grid.5801.c schema:alternateName Swiss Federal Institute of Technology in Zurich
271 schema:name Laboratory of Thermodynamics in Emerging Technologies, Department of Mechanical and Process Engineering, ETH Zurich, Sonneggstrasse 3, CH-8092, Zurich, Switzerland
272 rdf:type schema:Organization
273 https://www.grid.ac/institutes/grid.7400.3 schema:alternateName University of Zurich
274 schema:name Institute for Regenerative Medicine, University of Zurich, Zurich, Switzerland
275 Laboratory for Animal Model Pathology, Institute of Veterinary Pathology, Vetsuisse Faculty, University of Zurich, Zurich, Switzerland
276 Wyss Zurich, ETH Zurich/University of Zurich, Zurich, Switzerland
277 rdf:type schema:Organization
 




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


...