Growth of endothelial cells on microfabricated silicon nitride membranes for anin vitro model of the blood-brain barrier View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2003-08

AUTHORS

Sarina G. Harris, Michael L. Shuler

ABSTRACT

The blood-brain barrier (BBB) is composed of the brain capillaries, which are lined by endothelial cells displaying extremely tight intercellular junctions. Several attempts at creating anin vitro model of the BBB have been met with moderate success as brain capillary endothelial cells lose their barrier properties when isolated in cell culture. This may be due to a lack of recreation of thein vivo endothelial cellular environment in these models, including nearly constant contact with astrocyte foot processes. This work is motivated by the hypothesis that growing endothelial cells on one side of an ultra-thin, highly porous membrane and differentiating astrocyte or astrogliomal cells on the opposite side will lead to a higher degree of interaction between the two cell types and therefore to an improved model. Here we describe our initial efforts towards testing this hypothesis including a procedure for membrane fabrication and methods for culturing endothelial cells on these membranes. We have fabricated a 1 μm thick, 2.0 μm pore size, and ∼55% porous membrane with a very narrow pore size distribution from low-stress silicon nitride (SiN) utilizing techniques from the microelectronics industry. We have developed a base, acid, autoclave routine that prepares the membranes for cell culture both by cleaning residual fabrication chemicals from the surface and by increasing the hydrophilicity of the membranes (confirmed by contact angle measurements). Gelatin, fibronectin, and a 50/50 mixture of the two proteins were evaluated as potential basement membrane protein treatments prior to membrane cell seeding. All three treatments support adequate attachment and growth on the membranes compared to the control. More... »

PAGES

246-251

References to SciGraph publications

  • 2000-02. Neural Induction of the Blood–Brain Barrier: Still an Enigma in CELLULAR AND MOLECULAR NEUROBIOLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/bf02942273

    DOI

    http://dx.doi.org/10.1007/bf02942273

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1020098183


    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/2008/09", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Engineering", 
            "type": "DefinedTerm"
          }, 
          {
            "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"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Department of Chemical and Biomolecular Engineering, Cornell University, 14853, Ithaca, NY, USA", 
              "id": "http://www.grid.ac/institutes/grid.5386.8", 
              "name": [
                "Department of Chemical and Biomolecular Engineering, Cornell University, 14853, Ithaca, NY, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Harris", 
            "givenName": "Sarina G.", 
            "id": "sg:person.016331565473.64", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016331565473.64"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Chemical and Biomolecular Engineering, Cornell University, 14853, Ithaca, NY, USA", 
              "id": "http://www.grid.ac/institutes/grid.5386.8", 
              "name": [
                "Department of Chemical and Biomolecular Engineering, Cornell University, 14853, Ithaca, NY, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Shuler", 
            "givenName": "Michael L.", 
            "id": "sg:person.01301467002.81", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01301467002.81"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1023/a:1006939825857", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018318802", 
              "https://doi.org/10.1023/a:1006939825857"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2003-08", 
        "datePublishedReg": "2003-08-01", 
        "description": "The blood-brain barrier (BBB) is composed of the brain capillaries, which are lined by endothelial cells displaying extremely tight intercellular junctions. Several attempts at creating anin vitro model of the BBB have been met with moderate success as brain capillary endothelial cells lose their barrier properties when isolated in cell culture. This may be due to a lack of recreation of thein vivo endothelial cellular environment in these models, including nearly constant contact with astrocyte foot processes. This work is motivated by the hypothesis that growing endothelial cells on one side of an ultra-thin, highly porous membrane and differentiating astrocyte or astrogliomal cells on the opposite side will lead to a higher degree of interaction between the two cell types and therefore to an improved model. Here we describe our initial efforts towards testing this hypothesis including a procedure for membrane fabrication and methods for culturing endothelial cells on these membranes. We have fabricated a 1 \u03bcm thick, 2.0 \u03bcm pore size, and \u223c55% porous membrane with a very narrow pore size distribution from low-stress silicon nitride (SiN) utilizing techniques from the microelectronics industry. We have developed a base, acid, autoclave routine that prepares the membranes for cell culture both by cleaning residual fabrication chemicals from the surface and by increasing the hydrophilicity of the membranes (confirmed by contact angle measurements). Gelatin, fibronectin, and a 50/50 mixture of the two proteins were evaluated as potential basement membrane protein treatments prior to membrane cell seeding. All three treatments support adequate attachment and growth on the membranes compared to the control.", 
        "genre": "article", 
        "id": "sg:pub.10.1007/bf02942273", 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1036335", 
            "issn": [
              "1226-8372", 
              "1976-3816"
            ], 
            "name": "Biotechnology and Bioprocess Engineering", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "4", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "8"
          }
        ], 
        "keywords": [
          "low-stress silicon nitride", 
          "porous membranes", 
          "narrow pore size distribution", 
          "silicon nitride membrane", 
          "pore size distribution", 
          "silicon nitride", 
          "membrane fabrication", 
          "nitride membrane", 
          "microelectronics industry", 
          "barrier properties", 
          "pore size", 
          "adequate attachment", 
          "size distribution", 
          "improved model", 
          "cell seeding", 
          "fabrication", 
          "cell cultures", 
          "cellular environment", 
          "nitride", 
          "hydrophilicity", 
          "brain capillary endothelial cells", 
          "blood-brain barrier", 
          "surface", 
          "model", 
          "lack of recreation", 
          "opposite side", 
          "properties", 
          "gelatin", 
          "side", 
          "membrane", 
          "mixture", 
          "industry", 
          "contact", 
          "high degree", 
          "cells", 
          "constant contact", 
          "chemicals", 
          "technique", 
          "process", 
          "size", 
          "work", 
          "method", 
          "endothelial cells", 
          "distribution", 
          "protein treatment", 
          "attachment", 
          "junction", 
          "initial efforts", 
          "cell types", 
          "barriers", 
          "growth", 
          "tight intercellular junctions", 
          "capillaries", 
          "environment", 
          "control", 
          "capillary endothelial cells", 
          "moderate success", 
          "acid", 
          "seeding", 
          "base", 
          "procedure", 
          "types", 
          "degree", 
          "interaction", 
          "routines", 
          "culture", 
          "protein", 
          "efforts", 
          "thein", 
          "attempt", 
          "treatment", 
          "anin", 
          "fibronectin", 
          "lack", 
          "success", 
          "astrocyte foot processes", 
          "recreation", 
          "foot processes", 
          "brain capillaries", 
          "hypothesis", 
          "intercellular junctions", 
          "astrocytes"
        ], 
        "name": "Growth of endothelial cells on microfabricated silicon nitride membranes for anin vitro model of the blood-brain barrier", 
        "pagination": "246-251", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1020098183"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/bf02942273"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/bf02942273", 
          "https://app.dimensions.ai/details/publication/pub.1020098183"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-08-04T16:54", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20220804/entities/gbq_results/article/article_374.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1007/bf02942273"
      }
    ]
     

    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.10.1007/bf02942273'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/bf02942273'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf02942273'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf02942273'


     

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

    150 TRIPLES      21 PREDICATES      108 URIs      99 LITERALS      6 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/bf02942273 schema:about anzsrc-for:09
    2 anzsrc-for:0912
    3 schema:author Ne5167371b84e40e2acde47dcafaf6267
    4 schema:citation sg:pub.10.1023/a:1006939825857
    5 schema:datePublished 2003-08
    6 schema:datePublishedReg 2003-08-01
    7 schema:description The blood-brain barrier (BBB) is composed of the brain capillaries, which are lined by endothelial cells displaying extremely tight intercellular junctions. Several attempts at creating anin vitro model of the BBB have been met with moderate success as brain capillary endothelial cells lose their barrier properties when isolated in cell culture. This may be due to a lack of recreation of thein vivo endothelial cellular environment in these models, including nearly constant contact with astrocyte foot processes. This work is motivated by the hypothesis that growing endothelial cells on one side of an ultra-thin, highly porous membrane and differentiating astrocyte or astrogliomal cells on the opposite side will lead to a higher degree of interaction between the two cell types and therefore to an improved model. Here we describe our initial efforts towards testing this hypothesis including a procedure for membrane fabrication and methods for culturing endothelial cells on these membranes. We have fabricated a 1 μm thick, 2.0 μm pore size, and ∼55% porous membrane with a very narrow pore size distribution from low-stress silicon nitride (SiN) utilizing techniques from the microelectronics industry. We have developed a base, acid, autoclave routine that prepares the membranes for cell culture both by cleaning residual fabrication chemicals from the surface and by increasing the hydrophilicity of the membranes (confirmed by contact angle measurements). Gelatin, fibronectin, and a 50/50 mixture of the two proteins were evaluated as potential basement membrane protein treatments prior to membrane cell seeding. All three treatments support adequate attachment and growth on the membranes compared to the control.
    8 schema:genre article
    9 schema:isAccessibleForFree false
    10 schema:isPartOf N5f5d02b0feeb4ff2a898d6c66af8630a
    11 Nf41547ba259546e89c7207cdde9ddedb
    12 sg:journal.1036335
    13 schema:keywords acid
    14 adequate attachment
    15 anin
    16 astrocyte foot processes
    17 astrocytes
    18 attachment
    19 attempt
    20 barrier properties
    21 barriers
    22 base
    23 blood-brain barrier
    24 brain capillaries
    25 brain capillary endothelial cells
    26 capillaries
    27 capillary endothelial cells
    28 cell cultures
    29 cell seeding
    30 cell types
    31 cells
    32 cellular environment
    33 chemicals
    34 constant contact
    35 contact
    36 control
    37 culture
    38 degree
    39 distribution
    40 efforts
    41 endothelial cells
    42 environment
    43 fabrication
    44 fibronectin
    45 foot processes
    46 gelatin
    47 growth
    48 high degree
    49 hydrophilicity
    50 hypothesis
    51 improved model
    52 industry
    53 initial efforts
    54 interaction
    55 intercellular junctions
    56 junction
    57 lack
    58 lack of recreation
    59 low-stress silicon nitride
    60 membrane
    61 membrane fabrication
    62 method
    63 microelectronics industry
    64 mixture
    65 model
    66 moderate success
    67 narrow pore size distribution
    68 nitride
    69 nitride membrane
    70 opposite side
    71 pore size
    72 pore size distribution
    73 porous membranes
    74 procedure
    75 process
    76 properties
    77 protein
    78 protein treatment
    79 recreation
    80 routines
    81 seeding
    82 side
    83 silicon nitride
    84 silicon nitride membrane
    85 size
    86 size distribution
    87 success
    88 surface
    89 technique
    90 thein
    91 tight intercellular junctions
    92 treatment
    93 types
    94 work
    95 schema:name Growth of endothelial cells on microfabricated silicon nitride membranes for anin vitro model of the blood-brain barrier
    96 schema:pagination 246-251
    97 schema:productId N996fbd9229d04983906bd74725c8d418
    98 Ne99d7f0dfacb42fe8d1e2f9c712606e5
    99 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020098183
    100 https://doi.org/10.1007/bf02942273
    101 schema:sdDatePublished 2022-08-04T16:54
    102 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    103 schema:sdPublisher N645f3ae542e14c7789ecd2c7b365b220
    104 schema:url https://doi.org/10.1007/bf02942273
    105 sgo:license sg:explorer/license/
    106 sgo:sdDataset articles
    107 rdf:type schema:ScholarlyArticle
    108 N5f5d02b0feeb4ff2a898d6c66af8630a schema:volumeNumber 8
    109 rdf:type schema:PublicationVolume
    110 N645f3ae542e14c7789ecd2c7b365b220 schema:name Springer Nature - SN SciGraph project
    111 rdf:type schema:Organization
    112 N83e3a6692389450cae0c9fa93a879284 rdf:first sg:person.01301467002.81
    113 rdf:rest rdf:nil
    114 N996fbd9229d04983906bd74725c8d418 schema:name doi
    115 schema:value 10.1007/bf02942273
    116 rdf:type schema:PropertyValue
    117 Ne5167371b84e40e2acde47dcafaf6267 rdf:first sg:person.016331565473.64
    118 rdf:rest N83e3a6692389450cae0c9fa93a879284
    119 Ne99d7f0dfacb42fe8d1e2f9c712606e5 schema:name dimensions_id
    120 schema:value pub.1020098183
    121 rdf:type schema:PropertyValue
    122 Nf41547ba259546e89c7207cdde9ddedb schema:issueNumber 4
    123 rdf:type schema:PublicationIssue
    124 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
    125 schema:name Engineering
    126 rdf:type schema:DefinedTerm
    127 anzsrc-for:0912 schema:inDefinedTermSet anzsrc-for:
    128 schema:name Materials Engineering
    129 rdf:type schema:DefinedTerm
    130 sg:journal.1036335 schema:issn 1226-8372
    131 1976-3816
    132 schema:name Biotechnology and Bioprocess Engineering
    133 schema:publisher Springer Nature
    134 rdf:type schema:Periodical
    135 sg:person.01301467002.81 schema:affiliation grid-institutes:grid.5386.8
    136 schema:familyName Shuler
    137 schema:givenName Michael L.
    138 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01301467002.81
    139 rdf:type schema:Person
    140 sg:person.016331565473.64 schema:affiliation grid-institutes:grid.5386.8
    141 schema:familyName Harris
    142 schema:givenName Sarina G.
    143 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016331565473.64
    144 rdf:type schema:Person
    145 sg:pub.10.1023/a:1006939825857 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018318802
    146 https://doi.org/10.1023/a:1006939825857
    147 rdf:type schema:CreativeWork
    148 grid-institutes:grid.5386.8 schema:alternateName Department of Chemical and Biomolecular Engineering, Cornell University, 14853, Ithaca, NY, USA
    149 schema:name Department of Chemical and Biomolecular Engineering, Cornell University, 14853, Ithaca, NY, USA
    150 rdf:type schema:Organization
     




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


    ...