Efficient Dielectrophoretic Patterning of Embryonic Stem Cells in Energy Landscapes Defined by Hydrogel Geometries View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2010-12

AUTHORS

Hideaki Tsutsui, Edmond Yu, Sabrina Marquina, Bahram Valamehr, Ieong Wong, Hong Wu, Chih-Ming Ho

ABSTRACT

In this study, we have developed an integrated microfluidic platform for actively patterning mammalian cells, where poly(ethylene glycol) (PEG) hydrogels play two important roles as a non-fouling layer and a dielectric structure. The developed system has an embedded array of PEG microwells fabricated on a planar indium tin oxide (ITO) electrode. Due to its dielectric properties, the PEG microwells define electrical energy landscapes, effectively forming positive dielectrophoresis (DEP) traps in a low-conductivity environment. Distribution of DEP forces on a model cell was first estimated by computationally solving quasi-electrostatic Maxwell's equations, followed by an experimental demonstration of cell and particle patterning without an external flow. Furthermore, efficient patterning of mouse embryonic stem (mES) cells was successfully achieved in combination with an external flow. With a seeding density of 10⁷ cells/mL and a flow rate of 3 μL/min, trapping of cells in the microwells was completed in tens of seconds after initiation of the DEP operation. Captured cells subsequently formed viable and homogeneous monolayer patterns. This simple approach could provide an efficient strategy for fabricating various cell microarrays for applications such as cell-based biosensors, drug discovery, and cell microenvironment studies. More... »

PAGES

3777-3788

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10439-010-0108-1

DOI

http://dx.doi.org/10.1007/s10439-010-0108-1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1032098539

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/20614250


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/2008/0903", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biomedical 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"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Animals", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Biomedical Engineering", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cell Movement", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cell Separation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cell Survival", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Electrophoresis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Embryonic Stem Cells", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Finite Element Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Hydrogels", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Mice", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Microfluidic Analytical Techniques", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Polyethylene Glycols", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Static Electricity", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of California Los Angeles", 
          "id": "https://www.grid.ac/institutes/grid.19006.3e", 
          "name": [
            "Department of Mechanical and Aerospace Engineering, University of California, Los Angeles, 90095, Los Angeles, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tsutsui", 
        "givenName": "Hideaki", 
        "id": "sg:person.0665721545.00", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0665721545.00"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of California Los Angeles", 
          "id": "https://www.grid.ac/institutes/grid.19006.3e", 
          "name": [
            "Department of Mechanical and Aerospace Engineering, University of California, Los Angeles, 90095, Los Angeles, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yu", 
        "givenName": "Edmond", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of California Los Angeles", 
          "id": "https://www.grid.ac/institutes/grid.19006.3e", 
          "name": [
            "Department of Mechanical and Aerospace Engineering, University of California, Los Angeles, 90095, Los Angeles, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Marquina", 
        "givenName": "Sabrina", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of California Los Angeles", 
          "id": "https://www.grid.ac/institutes/grid.19006.3e", 
          "name": [
            "Department of Molecular and Medical Pharmacology, University of California, Los Angeles, 90095, Los Angeles, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Valamehr", 
        "givenName": "Bahram", 
        "id": "sg:person.01037540615.11", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01037540615.11"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of California Los Angeles", 
          "id": "https://www.grid.ac/institutes/grid.19006.3e", 
          "name": [
            "Department of Mechanical and Aerospace Engineering, University of California, Los Angeles, 90095, Los Angeles, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wong", 
        "givenName": "Ieong", 
        "id": "sg:person.01350276343.30", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01350276343.30"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of California Los Angeles", 
          "id": "https://www.grid.ac/institutes/grid.19006.3e", 
          "name": [
            "Department of Molecular and Medical Pharmacology, University of California, Los Angeles, 90095, Los Angeles, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wu", 
        "givenName": "Hong", 
        "id": "sg:person.07507607517.56", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07507607517.56"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of California Los Angeles", 
          "id": "https://www.grid.ac/institutes/grid.19006.3e", 
          "name": [
            "Department of Mechanical and Aerospace Engineering, University of California, Los Angeles, 90095, Los Angeles, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ho", 
        "givenName": "Chih-Ming", 
        "id": "sg:person.013634353067.12", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013634353067.12"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1146/annurev.bioeng.3.1.335", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002076643"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev.bioeng.2.1.227", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002306421"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/b810329a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003502017"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0142-9612(03)00543-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003536420"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0142-9612(03)00543-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003536420"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0022-3727/27/7/036", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003680429"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10544-006-9013-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004682143", 
          "https://doi.org/10.1007/s10544-006-9013-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10544-006-9013-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004682143", 
          "https://doi.org/10.1007/s10544-006-9013-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.96.10.5545", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004720306"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/b701306j", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008803888"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/b701306j", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008803888"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1097-4636(199702)34:2<189::aid-jbm8>3.0.co;2-m", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009679679"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/b712784g", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011890714"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0142-9612(00)00258-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013315196"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jneumeth.2004.01.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014375472"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.mechrescom.2008.08.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015623150"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmeth873", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015862697", 
          "https://doi.org/10.1038/nmeth873"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmeth873", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015862697", 
          "https://doi.org/10.1038/nmeth873"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.tibtech.2008.11.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016374916"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/gene.10036", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019918068"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biomaterials.2005.12.024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026776872"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature03831", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028096673", 
          "https://doi.org/10.1038/nature03831"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature03831", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028096673", 
          "https://doi.org/10.1038/nature03831"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature03831", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028096673", 
          "https://doi.org/10.1038/nature03831"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.0807235105", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029747368"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00357817", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030525573", 
          "https://doi.org/10.1007/bf00357817"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cbpa.2007.05.036", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032941848"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1517/17460441.2.12.1653", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033923062"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0302-4598(98)00146-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036259345"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0304-3886(02)00069-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036843443"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bios.2003.08.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038349805"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1025752007665", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039669821", 
          "https://doi.org/10.1023/a:1025752007665"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biomaterials.2003.10.052", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042653202"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.polymer.2005.12.026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044561435"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biomaterials.2007.10.030", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048122684"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/b406953f", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048578956"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bit.260430814", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049201146"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/1097-4636(200011)52:2<346::aid-jbm14>3.0.co;2-h", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051316604"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/adma.200400594", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051839804"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/adma.200305433", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052070850"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac0340612", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054994924"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac0340612", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054994924"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/la026178b", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056144641"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/la026178b", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056144641"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/la0267948", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056145003"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/la0267948", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056145003"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/la035129b", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056146011"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/la035129b", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056146011"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ma001576b", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056180574"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ma001576b", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056180574"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.276.5317.1425", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062556863"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.8171320", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062652998"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/cbo9780511574498", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1098664396"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2010-12", 
    "datePublishedReg": "2010-12-01", 
    "description": "In this study, we have developed an integrated microfluidic platform for actively patterning mammalian cells, where poly(ethylene glycol) (PEG) hydrogels play two important roles as a non-fouling layer and a dielectric structure. The developed system has an embedded array of PEG microwells fabricated on a planar indium tin oxide (ITO) electrode. Due to its dielectric properties, the PEG microwells define electrical energy landscapes, effectively forming positive dielectrophoresis (DEP) traps in a low-conductivity environment. Distribution of DEP forces on a model cell was first estimated by computationally solving quasi-electrostatic Maxwell's equations, followed by an experimental demonstration of cell and particle patterning without an external flow. Furthermore, efficient patterning of mouse embryonic stem (mES) cells was successfully achieved in combination with an external flow. With a seeding density of 10\u2077 cells/mL and a flow rate of 3 \u03bcL/min, trapping of cells in the microwells was completed in tens of seconds after initiation of the DEP operation. Captured cells subsequently formed viable and homogeneous monolayer patterns. This simple approach could provide an efficient strategy for fabricating various cell microarrays for applications such as cell-based biosensors, drug discovery, and cell microenvironment studies.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10439-010-0108-1", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.3085835", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2441343", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1087247", 
        "issn": [
          "0145-3068", 
          "1573-9686"
        ], 
        "name": "Annals of Biomedical Engineering", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "12", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "38"
      }
    ], 
    "name": "Efficient Dielectrophoretic Patterning of Embryonic Stem Cells in Energy Landscapes Defined by Hydrogel Geometries", 
    "pagination": "3777-3788", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "98e947c6be84665e68b5374c2f0379797e10f81582b66084270ef0100f74e051"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "20614250"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "0361512"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10439-010-0108-1"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1032098539"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10439-010-0108-1", 
      "https://app.dimensions.ai/details/publication/pub.1032098539"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T10:27", 
    "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/v90/0000000349_0000000349/records_113639_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs10439-010-0108-1"
  }
]
 

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/s10439-010-0108-1'

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/s10439-010-0108-1'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10439-010-0108-1'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10439-010-0108-1'


 

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

297 TRIPLES      21 PREDICATES      84 URIs      34 LITERALS      22 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10439-010-0108-1 schema:about N117211d99dfc43b7b8f905f5ef1e62d0
2 N1a0ae7932c074074bd0358ce87918aaa
3 N387bd5b3b7284d199d8489f996e23ff6
4 N3d83ad72270d4aecab5a2bc6b0a512aa
5 N49bedad95ee94c1ebadfcc858e91ef9d
6 N51c8fce99b3c4e14ab817243eab322d3
7 N5223515723ff4cb3b481a36309aea4c5
8 N671bf032b168472ea64cfaff49af751b
9 N7e9d34f400744dd7aaf52f1da653bed7
10 N897f5a363fd14a938345eeb729a3594d
11 N942373c6cc494ef59c1e2fb03d0491ea
12 Na0438e0a144843bbb0357d5b34158238
13 Na33ded50679e495aa0b65f998431f94c
14 anzsrc-for:09
15 anzsrc-for:0903
16 schema:author Neb8393c5eca64c89ae39ec023106e1aa
17 schema:citation sg:pub.10.1007/bf00357817
18 sg:pub.10.1007/s10544-006-9013-7
19 sg:pub.10.1023/a:1025752007665
20 sg:pub.10.1038/nature03831
21 sg:pub.10.1038/nmeth873
22 https://doi.org/10.1002/(sici)1097-4636(199702)34:2<189::aid-jbm8>3.0.co;2-m
23 https://doi.org/10.1002/1097-4636(200011)52:2<346::aid-jbm14>3.0.co;2-h
24 https://doi.org/10.1002/adma.200305433
25 https://doi.org/10.1002/adma.200400594
26 https://doi.org/10.1002/bit.260430814
27 https://doi.org/10.1002/gene.10036
28 https://doi.org/10.1016/j.biomaterials.2003.10.052
29 https://doi.org/10.1016/j.biomaterials.2005.12.024
30 https://doi.org/10.1016/j.biomaterials.2007.10.030
31 https://doi.org/10.1016/j.bios.2003.08.013
32 https://doi.org/10.1016/j.cbpa.2007.05.036
33 https://doi.org/10.1016/j.jneumeth.2004.01.011
34 https://doi.org/10.1016/j.mechrescom.2008.08.006
35 https://doi.org/10.1016/j.polymer.2005.12.026
36 https://doi.org/10.1016/j.tibtech.2008.11.006
37 https://doi.org/10.1016/s0142-9612(00)00258-1
38 https://doi.org/10.1016/s0142-9612(03)00543-x
39 https://doi.org/10.1016/s0302-4598(98)00146-9
40 https://doi.org/10.1016/s0304-3886(02)00069-4
41 https://doi.org/10.1017/cbo9780511574498
42 https://doi.org/10.1021/ac0340612
43 https://doi.org/10.1021/la026178b
44 https://doi.org/10.1021/la0267948
45 https://doi.org/10.1021/la035129b
46 https://doi.org/10.1021/ma001576b
47 https://doi.org/10.1039/b406953f
48 https://doi.org/10.1039/b701306j
49 https://doi.org/10.1039/b712784g
50 https://doi.org/10.1039/b810329a
51 https://doi.org/10.1073/pnas.0807235105
52 https://doi.org/10.1073/pnas.96.10.5545
53 https://doi.org/10.1088/0022-3727/27/7/036
54 https://doi.org/10.1126/science.276.5317.1425
55 https://doi.org/10.1126/science.8171320
56 https://doi.org/10.1146/annurev.bioeng.2.1.227
57 https://doi.org/10.1146/annurev.bioeng.3.1.335
58 https://doi.org/10.1517/17460441.2.12.1653
59 schema:datePublished 2010-12
60 schema:datePublishedReg 2010-12-01
61 schema:description In this study, we have developed an integrated microfluidic platform for actively patterning mammalian cells, where poly(ethylene glycol) (PEG) hydrogels play two important roles as a non-fouling layer and a dielectric structure. The developed system has an embedded array of PEG microwells fabricated on a planar indium tin oxide (ITO) electrode. Due to its dielectric properties, the PEG microwells define electrical energy landscapes, effectively forming positive dielectrophoresis (DEP) traps in a low-conductivity environment. Distribution of DEP forces on a model cell was first estimated by computationally solving quasi-electrostatic Maxwell's equations, followed by an experimental demonstration of cell and particle patterning without an external flow. Furthermore, efficient patterning of mouse embryonic stem (mES) cells was successfully achieved in combination with an external flow. With a seeding density of 10⁷ cells/mL and a flow rate of 3 μL/min, trapping of cells in the microwells was completed in tens of seconds after initiation of the DEP operation. Captured cells subsequently formed viable and homogeneous monolayer patterns. This simple approach could provide an efficient strategy for fabricating various cell microarrays for applications such as cell-based biosensors, drug discovery, and cell microenvironment studies.
62 schema:genre research_article
63 schema:inLanguage en
64 schema:isAccessibleForFree true
65 schema:isPartOf N72a392d920044924805a00d7015be219
66 Ndddcad7ea375486483514ca136409289
67 sg:journal.1087247
68 schema:name Efficient Dielectrophoretic Patterning of Embryonic Stem Cells in Energy Landscapes Defined by Hydrogel Geometries
69 schema:pagination 3777-3788
70 schema:productId N1787e3321de64cbca72373eb6ec3f7b0
71 N1d55b73989e4495bb696f060df140533
72 N4f27ea90bfa94494a16b134734f11feb
73 N5f1def2b6e32426c8de9f86d9e826bdf
74 N7cd4fe58ff6d43b2b75430fcb4253774
75 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032098539
76 https://doi.org/10.1007/s10439-010-0108-1
77 schema:sdDatePublished 2019-04-11T10:27
78 schema:sdLicense https://scigraph.springernature.com/explorer/license/
79 schema:sdPublisher N1b28de898ae348fdb95072db14c23cd2
80 schema:url http://link.springer.com/10.1007%2Fs10439-010-0108-1
81 sgo:license sg:explorer/license/
82 sgo:sdDataset articles
83 rdf:type schema:ScholarlyArticle
84 N117211d99dfc43b7b8f905f5ef1e62d0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
85 schema:name Cell Separation
86 rdf:type schema:DefinedTerm
87 N1787e3321de64cbca72373eb6ec3f7b0 schema:name nlm_unique_id
88 schema:value 0361512
89 rdf:type schema:PropertyValue
90 N1a0ae7932c074074bd0358ce87918aaa schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
91 schema:name Embryonic Stem Cells
92 rdf:type schema:DefinedTerm
93 N1b28de898ae348fdb95072db14c23cd2 schema:name Springer Nature - SN SciGraph project
94 rdf:type schema:Organization
95 N1d55b73989e4495bb696f060df140533 schema:name doi
96 schema:value 10.1007/s10439-010-0108-1
97 rdf:type schema:PropertyValue
98 N21ede30be71d495a9923aa5b61db54f0 rdf:first sg:person.07507607517.56
99 rdf:rest N74419adf9b8c4425970ab8f0972a58dd
100 N387bd5b3b7284d199d8489f996e23ff6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
101 schema:name Polyethylene Glycols
102 rdf:type schema:DefinedTerm
103 N3d83ad72270d4aecab5a2bc6b0a512aa schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
104 schema:name Cell Survival
105 rdf:type schema:DefinedTerm
106 N49bedad95ee94c1ebadfcc858e91ef9d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
107 schema:name Cell Movement
108 rdf:type schema:DefinedTerm
109 N4f27ea90bfa94494a16b134734f11feb schema:name pubmed_id
110 schema:value 20614250
111 rdf:type schema:PropertyValue
112 N51c8fce99b3c4e14ab817243eab322d3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
113 schema:name Microfluidic Analytical Techniques
114 rdf:type schema:DefinedTerm
115 N5223515723ff4cb3b481a36309aea4c5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
116 schema:name Animals
117 rdf:type schema:DefinedTerm
118 N5f1def2b6e32426c8de9f86d9e826bdf schema:name readcube_id
119 schema:value 98e947c6be84665e68b5374c2f0379797e10f81582b66084270ef0100f74e051
120 rdf:type schema:PropertyValue
121 N66c09b11177d4fb1b81d7abff0fb7265 schema:affiliation https://www.grid.ac/institutes/grid.19006.3e
122 schema:familyName Marquina
123 schema:givenName Sabrina
124 rdf:type schema:Person
125 N671bf032b168472ea64cfaff49af751b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
126 schema:name Biomedical Engineering
127 rdf:type schema:DefinedTerm
128 N72a392d920044924805a00d7015be219 schema:issueNumber 12
129 rdf:type schema:PublicationIssue
130 N74419adf9b8c4425970ab8f0972a58dd rdf:first sg:person.013634353067.12
131 rdf:rest rdf:nil
132 N781623cafbb142cabc004fc91cd67469 rdf:first sg:person.01037540615.11
133 rdf:rest Nbff105c529044693b9f1b5267a7554a7
134 N7cd4fe58ff6d43b2b75430fcb4253774 schema:name dimensions_id
135 schema:value pub.1032098539
136 rdf:type schema:PropertyValue
137 N7e9d34f400744dd7aaf52f1da653bed7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
138 schema:name Mice
139 rdf:type schema:DefinedTerm
140 N7e9d42b52a394f099a5bff624f38595b schema:affiliation https://www.grid.ac/institutes/grid.19006.3e
141 schema:familyName Yu
142 schema:givenName Edmond
143 rdf:type schema:Person
144 N897f5a363fd14a938345eeb729a3594d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
145 schema:name Static Electricity
146 rdf:type schema:DefinedTerm
147 N942373c6cc494ef59c1e2fb03d0491ea schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
148 schema:name Finite Element Analysis
149 rdf:type schema:DefinedTerm
150 Na0438e0a144843bbb0357d5b34158238 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
151 schema:name Electrophoresis
152 rdf:type schema:DefinedTerm
153 Na33ded50679e495aa0b65f998431f94c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
154 schema:name Hydrogels
155 rdf:type schema:DefinedTerm
156 Nb3e23790fbce4c1e8276425a0a1270a5 rdf:first N66c09b11177d4fb1b81d7abff0fb7265
157 rdf:rest N781623cafbb142cabc004fc91cd67469
158 Nb6624d2ae8a04e3380d59a37a5feb321 rdf:first N7e9d42b52a394f099a5bff624f38595b
159 rdf:rest Nb3e23790fbce4c1e8276425a0a1270a5
160 Nbff105c529044693b9f1b5267a7554a7 rdf:first sg:person.01350276343.30
161 rdf:rest N21ede30be71d495a9923aa5b61db54f0
162 Ndddcad7ea375486483514ca136409289 schema:volumeNumber 38
163 rdf:type schema:PublicationVolume
164 Neb8393c5eca64c89ae39ec023106e1aa rdf:first sg:person.0665721545.00
165 rdf:rest Nb6624d2ae8a04e3380d59a37a5feb321
166 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
167 schema:name Engineering
168 rdf:type schema:DefinedTerm
169 anzsrc-for:0903 schema:inDefinedTermSet anzsrc-for:
170 schema:name Biomedical Engineering
171 rdf:type schema:DefinedTerm
172 sg:grant.2441343 http://pending.schema.org/fundedItem sg:pub.10.1007/s10439-010-0108-1
173 rdf:type schema:MonetaryGrant
174 sg:grant.3085835 http://pending.schema.org/fundedItem sg:pub.10.1007/s10439-010-0108-1
175 rdf:type schema:MonetaryGrant
176 sg:journal.1087247 schema:issn 0145-3068
177 1573-9686
178 schema:name Annals of Biomedical Engineering
179 rdf:type schema:Periodical
180 sg:person.01037540615.11 schema:affiliation https://www.grid.ac/institutes/grid.19006.3e
181 schema:familyName Valamehr
182 schema:givenName Bahram
183 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01037540615.11
184 rdf:type schema:Person
185 sg:person.01350276343.30 schema:affiliation https://www.grid.ac/institutes/grid.19006.3e
186 schema:familyName Wong
187 schema:givenName Ieong
188 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01350276343.30
189 rdf:type schema:Person
190 sg:person.013634353067.12 schema:affiliation https://www.grid.ac/institutes/grid.19006.3e
191 schema:familyName Ho
192 schema:givenName Chih-Ming
193 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013634353067.12
194 rdf:type schema:Person
195 sg:person.0665721545.00 schema:affiliation https://www.grid.ac/institutes/grid.19006.3e
196 schema:familyName Tsutsui
197 schema:givenName Hideaki
198 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0665721545.00
199 rdf:type schema:Person
200 sg:person.07507607517.56 schema:affiliation https://www.grid.ac/institutes/grid.19006.3e
201 schema:familyName Wu
202 schema:givenName Hong
203 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07507607517.56
204 rdf:type schema:Person
205 sg:pub.10.1007/bf00357817 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030525573
206 https://doi.org/10.1007/bf00357817
207 rdf:type schema:CreativeWork
208 sg:pub.10.1007/s10544-006-9013-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004682143
209 https://doi.org/10.1007/s10544-006-9013-7
210 rdf:type schema:CreativeWork
211 sg:pub.10.1023/a:1025752007665 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039669821
212 https://doi.org/10.1023/a:1025752007665
213 rdf:type schema:CreativeWork
214 sg:pub.10.1038/nature03831 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028096673
215 https://doi.org/10.1038/nature03831
216 rdf:type schema:CreativeWork
217 sg:pub.10.1038/nmeth873 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015862697
218 https://doi.org/10.1038/nmeth873
219 rdf:type schema:CreativeWork
220 https://doi.org/10.1002/(sici)1097-4636(199702)34:2<189::aid-jbm8>3.0.co;2-m schema:sameAs https://app.dimensions.ai/details/publication/pub.1009679679
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1002/1097-4636(200011)52:2<346::aid-jbm14>3.0.co;2-h schema:sameAs https://app.dimensions.ai/details/publication/pub.1051316604
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1002/adma.200305433 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052070850
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1002/adma.200400594 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051839804
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1002/bit.260430814 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049201146
229 rdf:type schema:CreativeWork
230 https://doi.org/10.1002/gene.10036 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019918068
231 rdf:type schema:CreativeWork
232 https://doi.org/10.1016/j.biomaterials.2003.10.052 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042653202
233 rdf:type schema:CreativeWork
234 https://doi.org/10.1016/j.biomaterials.2005.12.024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026776872
235 rdf:type schema:CreativeWork
236 https://doi.org/10.1016/j.biomaterials.2007.10.030 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048122684
237 rdf:type schema:CreativeWork
238 https://doi.org/10.1016/j.bios.2003.08.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038349805
239 rdf:type schema:CreativeWork
240 https://doi.org/10.1016/j.cbpa.2007.05.036 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032941848
241 rdf:type schema:CreativeWork
242 https://doi.org/10.1016/j.jneumeth.2004.01.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014375472
243 rdf:type schema:CreativeWork
244 https://doi.org/10.1016/j.mechrescom.2008.08.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015623150
245 rdf:type schema:CreativeWork
246 https://doi.org/10.1016/j.polymer.2005.12.026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044561435
247 rdf:type schema:CreativeWork
248 https://doi.org/10.1016/j.tibtech.2008.11.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016374916
249 rdf:type schema:CreativeWork
250 https://doi.org/10.1016/s0142-9612(00)00258-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013315196
251 rdf:type schema:CreativeWork
252 https://doi.org/10.1016/s0142-9612(03)00543-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1003536420
253 rdf:type schema:CreativeWork
254 https://doi.org/10.1016/s0302-4598(98)00146-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036259345
255 rdf:type schema:CreativeWork
256 https://doi.org/10.1016/s0304-3886(02)00069-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036843443
257 rdf:type schema:CreativeWork
258 https://doi.org/10.1017/cbo9780511574498 schema:sameAs https://app.dimensions.ai/details/publication/pub.1098664396
259 rdf:type schema:CreativeWork
260 https://doi.org/10.1021/ac0340612 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054994924
261 rdf:type schema:CreativeWork
262 https://doi.org/10.1021/la026178b schema:sameAs https://app.dimensions.ai/details/publication/pub.1056144641
263 rdf:type schema:CreativeWork
264 https://doi.org/10.1021/la0267948 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056145003
265 rdf:type schema:CreativeWork
266 https://doi.org/10.1021/la035129b schema:sameAs https://app.dimensions.ai/details/publication/pub.1056146011
267 rdf:type schema:CreativeWork
268 https://doi.org/10.1021/ma001576b schema:sameAs https://app.dimensions.ai/details/publication/pub.1056180574
269 rdf:type schema:CreativeWork
270 https://doi.org/10.1039/b406953f schema:sameAs https://app.dimensions.ai/details/publication/pub.1048578956
271 rdf:type schema:CreativeWork
272 https://doi.org/10.1039/b701306j schema:sameAs https://app.dimensions.ai/details/publication/pub.1008803888
273 rdf:type schema:CreativeWork
274 https://doi.org/10.1039/b712784g schema:sameAs https://app.dimensions.ai/details/publication/pub.1011890714
275 rdf:type schema:CreativeWork
276 https://doi.org/10.1039/b810329a schema:sameAs https://app.dimensions.ai/details/publication/pub.1003502017
277 rdf:type schema:CreativeWork
278 https://doi.org/10.1073/pnas.0807235105 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029747368
279 rdf:type schema:CreativeWork
280 https://doi.org/10.1073/pnas.96.10.5545 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004720306
281 rdf:type schema:CreativeWork
282 https://doi.org/10.1088/0022-3727/27/7/036 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003680429
283 rdf:type schema:CreativeWork
284 https://doi.org/10.1126/science.276.5317.1425 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062556863
285 rdf:type schema:CreativeWork
286 https://doi.org/10.1126/science.8171320 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062652998
287 rdf:type schema:CreativeWork
288 https://doi.org/10.1146/annurev.bioeng.2.1.227 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002306421
289 rdf:type schema:CreativeWork
290 https://doi.org/10.1146/annurev.bioeng.3.1.335 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002076643
291 rdf:type schema:CreativeWork
292 https://doi.org/10.1517/17460441.2.12.1653 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033923062
293 rdf:type schema:CreativeWork
294 https://www.grid.ac/institutes/grid.19006.3e schema:alternateName University of California Los Angeles
295 schema:name Department of Mechanical and Aerospace Engineering, University of California, Los Angeles, 90095, Los Angeles, CA, USA
296 Department of Molecular and Medical Pharmacology, University of California, Los Angeles, 90095, Los Angeles, CA, USA
297 rdf:type schema:Organization
 




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


...