Biofilm development of an opportunistic model bacterium analysed at high spatiotemporal resolution in the framework of a precise flow cell View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-11

AUTHORS

Chun Ping Lim, Phuong Nguyen Quoc Mai, Dan Roizman Sade, Yee Cheong Lam, Yehuda Cohen

ABSTRACT

Life of bacteria is governed by the physical dimensions of life in microscales, which is dominated by fast diffusion and flow at low Reynolds numbers. Microbial biofilms are structurally and functionally heterogeneous and their development is suggested to be interactively related to their microenvironments. In this study, we were guided by the challenging requirements of precise tools and engineered procedures to achieve reproducible experiments at high spatial and temporal resolutions. Here, we developed a robust precise engineering approach allowing for the quantification of real-time, high-content imaging of biofilm behaviour under well-controlled flow conditions. Through the merging of engineering and microbial ecology, we present a rigorous methodology to quantify biofilm development at resolutions of single micrometre and single minute, using a newly developed flow cell. We designed and fabricated a high-precision flow cell to create defined and reproducible flow conditions. We applied high-content confocal laser scanning microscopy and developed image quantification using a model biofilm of a defined opportunistic strain, Pseudomonas putida OUS82. We observed complex patterns in the early events of biofilm formation, which were followed by total dispersal. These patterns were closely related to the flow conditions. These biofilm behavioural phenomena were found to be highly reproducible, despite the heterogeneous nature of biofilm. More... »

PAGES

16023

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/npjbiofilms.2016.23

DOI

http://dx.doi.org/10.1038/npjbiofilms.2016.23

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1032808137

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/28721252


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/2008/0605", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Microbiology", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biological Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Nanyang Technological University", 
          "id": "https://www.grid.ac/institutes/grid.59025.3b", 
          "name": [
            "Singapore Centre for Environmental Life Sciences Engineering (SCELSE), Nanyang Technological University, Singapore", 
            "The School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lim", 
        "givenName": "Chun Ping", 
        "id": "sg:person.01074750207.59", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01074750207.59"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Nanyang Technological University", 
          "id": "https://www.grid.ac/institutes/grid.59025.3b", 
          "name": [
            "Singapore Centre for Environmental Life Sciences Engineering (SCELSE), Nanyang Technological University, Singapore", 
            "The School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mai", 
        "givenName": "Phuong Nguyen Quoc", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Nanyang Technological University", 
          "id": "https://www.grid.ac/institutes/grid.59025.3b", 
          "name": [
            "Singapore Centre for Environmental Life Sciences Engineering (SCELSE), Nanyang Technological University, Singapore"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sade", 
        "givenName": "Dan Roizman", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Nanyang Technological University", 
          "id": "https://www.grid.ac/institutes/grid.59025.3b", 
          "name": [
            "The School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lam", 
        "givenName": "Yee Cheong", 
        "id": "sg:person.0615123022.57", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0615123022.57"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Nanyang Technological University", 
          "id": "https://www.grid.ac/institutes/grid.59025.3b", 
          "name": [
            "Singapore Centre for Environmental Life Sciences Engineering (SCELSE), Nanyang Technological University, Singapore", 
            "The School of Biological Science, Nanyang Technological University, Singapore"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cohen", 
        "givenName": "Yehuda", 
        "id": "sg:person.0704316717.78", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0704316717.78"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.bios.2013.03.031", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005597949"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4319/lom.2008.6.477", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008113089"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ismej.2013.194", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010955186", 
          "https://doi.org/10.1038/ismej.2013.194"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jb.185.5.1485-1491.2003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011667731"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ismej.2013.185", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019918138", 
          "https://doi.org/10.1038/ismej.2013.185"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.4771407", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019933712"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.280.5361.295", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027817107"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-70137-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030545584", 
          "https://doi.org/10.1007/978-3-642-70137-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-70137-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030545584", 
          "https://doi.org/10.1007/978-3-642-70137-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bit.23234", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032385500"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/aem.03065-09", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032771465"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev.micro.54.1.49", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033574185"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bpj.2011.01.065", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035268811"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature15709", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036855508", 
          "https://doi.org/10.1038/nature15709"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrmicro2259", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036917778", 
          "https://doi.org/10.1038/nrmicro2259"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrmicro2259", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036917778", 
          "https://doi.org/10.1038/nrmicro2259"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1109173", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037643136"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0012-1606(84)90295-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039148929"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/35101627", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040700744", 
          "https://doi.org/10.1038/35101627"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/35101627", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040700744", 
          "https://doi.org/10.1038/35101627"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmicrobiol.2015.12", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042644777", 
          "https://doi.org/10.1038/nmicrobiol.2015.12"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jb.182.22.6482-6489.2000", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044234481"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ab.2013.10.027", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044680684"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jb.184.4.1140-1154.2002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048465176"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrmicro1556", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053128946", 
          "https://doi.org/10.1038/nrmicro1556"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrmicro1556", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053128946", 
          "https://doi.org/10.1038/nrmicro1556"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c003558k", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053273400"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c003558k", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053273400"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/npjbiofilms.2015.6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053712501", 
          "https://doi.org/10.1038/npjbiofilms.2015.6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac901420u", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055071538"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac901420u", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055071538"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.235.4789.689", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062533718"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/microbiolspec.mb-0003-2014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062731140"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5860/choice.46-6867", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1073432996"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077159245", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2016-11", 
    "datePublishedReg": "2016-11-01", 
    "description": "Life of bacteria is governed by the physical dimensions of life in microscales, which is dominated by fast diffusion and flow at low Reynolds numbers. Microbial biofilms are structurally and functionally heterogeneous and their development is suggested to be interactively related to their microenvironments. In this study, we were guided by the challenging requirements of precise tools and engineered procedures to achieve reproducible experiments at high spatial and temporal resolutions. Here, we developed a robust precise engineering approach allowing for the quantification of real-time, high-content imaging of biofilm behaviour under well-controlled flow conditions. Through the merging of engineering and microbial ecology, we present a rigorous methodology to quantify biofilm development at resolutions of single micrometre and single minute, using a newly developed flow cell. We designed and fabricated a high-precision flow cell to create defined and reproducible flow conditions. We applied high-content confocal laser scanning microscopy and developed image quantification using a model biofilm of a defined opportunistic strain, Pseudomonas putida OUS82. We observed complex patterns in the early events of biofilm formation, which were followed by total dispersal. These patterns were closely related to the flow conditions. These biofilm behavioural phenomena were found to be highly reproducible, despite the heterogeneous nature of biofilm.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/npjbiofilms.2016.23", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1052387", 
        "issn": [
          "2055-5008"
        ], 
        "name": "npj Biofilms and Microbiomes", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "2"
      }
    ], 
    "name": "Biofilm development of an opportunistic model bacterium analysed at high spatiotemporal resolution in the framework of a precise flow cell", 
    "pagination": "16023", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "9c4af4388c8ef8c3b1395bc20bcb6ee1401923249300a027f0ea6f7413f11ac8"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "28721252"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101666944"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/npjbiofilms.2016.23"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1032808137"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/npjbiofilms.2016.23", 
      "https://app.dimensions.ai/details/publication/pub.1032808137"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T00:55", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8697_00000427.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/npjbiofilms201623"
  }
]
 

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/npjbiofilms.2016.23'

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/npjbiofilms.2016.23'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/npjbiofilms.2016.23'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/npjbiofilms.2016.23'


 

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

191 TRIPLES      21 PREDICATES      58 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/npjbiofilms.2016.23 schema:about anzsrc-for:06
2 anzsrc-for:0605
3 schema:author N3a0658690f1b4a759253b5e365679b3b
4 schema:citation sg:pub.10.1007/978-3-642-70137-5
5 sg:pub.10.1038/35101627
6 sg:pub.10.1038/ismej.2013.185
7 sg:pub.10.1038/ismej.2013.194
8 sg:pub.10.1038/nature15709
9 sg:pub.10.1038/nmicrobiol.2015.12
10 sg:pub.10.1038/npjbiofilms.2015.6
11 sg:pub.10.1038/nrmicro1556
12 sg:pub.10.1038/nrmicro2259
13 https://app.dimensions.ai/details/publication/pub.1077159245
14 https://doi.org/10.1002/bit.23234
15 https://doi.org/10.1016/0012-1606(84)90295-1
16 https://doi.org/10.1016/j.ab.2013.10.027
17 https://doi.org/10.1016/j.bios.2013.03.031
18 https://doi.org/10.1016/j.bpj.2011.01.065
19 https://doi.org/10.1021/ac901420u
20 https://doi.org/10.1039/c003558k
21 https://doi.org/10.1063/1.4771407
22 https://doi.org/10.1126/science.1109173
23 https://doi.org/10.1126/science.235.4789.689
24 https://doi.org/10.1126/science.280.5361.295
25 https://doi.org/10.1128/aem.03065-09
26 https://doi.org/10.1128/jb.182.22.6482-6489.2000
27 https://doi.org/10.1128/jb.184.4.1140-1154.2002
28 https://doi.org/10.1128/jb.185.5.1485-1491.2003
29 https://doi.org/10.1128/microbiolspec.mb-0003-2014
30 https://doi.org/10.1146/annurev.micro.54.1.49
31 https://doi.org/10.4319/lom.2008.6.477
32 https://doi.org/10.5860/choice.46-6867
33 schema:datePublished 2016-11
34 schema:datePublishedReg 2016-11-01
35 schema:description Life of bacteria is governed by the physical dimensions of life in microscales, which is dominated by fast diffusion and flow at low Reynolds numbers. Microbial biofilms are structurally and functionally heterogeneous and their development is suggested to be interactively related to their microenvironments. In this study, we were guided by the challenging requirements of precise tools and engineered procedures to achieve reproducible experiments at high spatial and temporal resolutions. Here, we developed a robust precise engineering approach allowing for the quantification of real-time, high-content imaging of biofilm behaviour under well-controlled flow conditions. Through the merging of engineering and microbial ecology, we present a rigorous methodology to quantify biofilm development at resolutions of single micrometre and single minute, using a newly developed flow cell. We designed and fabricated a high-precision flow cell to create defined and reproducible flow conditions. We applied high-content confocal laser scanning microscopy and developed image quantification using a model biofilm of a defined opportunistic strain, <i>Pseudomonas putida</i> OUS82. We observed complex patterns in the early events of biofilm formation, which were followed by total dispersal. These patterns were closely related to the flow conditions. These biofilm behavioural phenomena were found to be highly reproducible, despite the heterogeneous nature of biofilm.
36 schema:genre research_article
37 schema:inLanguage en
38 schema:isAccessibleForFree true
39 schema:isPartOf N7d9ececc0b7743a6a6b972b01fd139b3
40 N8e52aa9da9774204865f58c9324f6fa9
41 sg:journal.1052387
42 schema:name Biofilm development of an opportunistic model bacterium analysed at high spatiotemporal resolution in the framework of a precise flow cell
43 schema:pagination 16023
44 schema:productId N20817ca8afa64d268f5d3f8914b8d033
45 N3ac8fcfb287a49308fe027f13b67bb6e
46 N85cee356e43547ed9e357c430e53704e
47 N91bdd6c0fc864953acf678724ab07713
48 Nb32b4d1dafb74b6b80bffdf16e442b03
49 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032808137
50 https://doi.org/10.1038/npjbiofilms.2016.23
51 schema:sdDatePublished 2019-04-11T00:55
52 schema:sdLicense https://scigraph.springernature.com/explorer/license/
53 schema:sdPublisher N1134046fee594bae837518bb1c90ac64
54 schema:url https://www.nature.com/articles/npjbiofilms201623
55 sgo:license sg:explorer/license/
56 sgo:sdDataset articles
57 rdf:type schema:ScholarlyArticle
58 N02e32a7631d8431f9caf1775b0d18256 schema:affiliation https://www.grid.ac/institutes/grid.59025.3b
59 schema:familyName Mai
60 schema:givenName Phuong Nguyen Quoc
61 rdf:type schema:Person
62 N092df030926846e0b10ea594208adeed schema:affiliation https://www.grid.ac/institutes/grid.59025.3b
63 schema:familyName Sade
64 schema:givenName Dan Roizman
65 rdf:type schema:Person
66 N1134046fee594bae837518bb1c90ac64 schema:name Springer Nature - SN SciGraph project
67 rdf:type schema:Organization
68 N1c73981fcfd146edb05f7f3f2e317749 rdf:first N02e32a7631d8431f9caf1775b0d18256
69 rdf:rest N22a4f1396af04650ae79b325d50751f2
70 N20817ca8afa64d268f5d3f8914b8d033 schema:name dimensions_id
71 schema:value pub.1032808137
72 rdf:type schema:PropertyValue
73 N22a4f1396af04650ae79b325d50751f2 rdf:first N092df030926846e0b10ea594208adeed
74 rdf:rest N3abb171dc58e44ae9d932d1514bac90c
75 N3a0658690f1b4a759253b5e365679b3b rdf:first sg:person.01074750207.59
76 rdf:rest N1c73981fcfd146edb05f7f3f2e317749
77 N3abb171dc58e44ae9d932d1514bac90c rdf:first sg:person.0615123022.57
78 rdf:rest N903997afc17b400ebe24c55da8065d51
79 N3ac8fcfb287a49308fe027f13b67bb6e schema:name readcube_id
80 schema:value 9c4af4388c8ef8c3b1395bc20bcb6ee1401923249300a027f0ea6f7413f11ac8
81 rdf:type schema:PropertyValue
82 N7d9ececc0b7743a6a6b972b01fd139b3 schema:issueNumber 1
83 rdf:type schema:PublicationIssue
84 N85cee356e43547ed9e357c430e53704e schema:name nlm_unique_id
85 schema:value 101666944
86 rdf:type schema:PropertyValue
87 N8e52aa9da9774204865f58c9324f6fa9 schema:volumeNumber 2
88 rdf:type schema:PublicationVolume
89 N903997afc17b400ebe24c55da8065d51 rdf:first sg:person.0704316717.78
90 rdf:rest rdf:nil
91 N91bdd6c0fc864953acf678724ab07713 schema:name pubmed_id
92 schema:value 28721252
93 rdf:type schema:PropertyValue
94 Nb32b4d1dafb74b6b80bffdf16e442b03 schema:name doi
95 schema:value 10.1038/npjbiofilms.2016.23
96 rdf:type schema:PropertyValue
97 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
98 schema:name Biological Sciences
99 rdf:type schema:DefinedTerm
100 anzsrc-for:0605 schema:inDefinedTermSet anzsrc-for:
101 schema:name Microbiology
102 rdf:type schema:DefinedTerm
103 sg:journal.1052387 schema:issn 2055-5008
104 schema:name npj Biofilms and Microbiomes
105 rdf:type schema:Periodical
106 sg:person.01074750207.59 schema:affiliation https://www.grid.ac/institutes/grid.59025.3b
107 schema:familyName Lim
108 schema:givenName Chun Ping
109 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01074750207.59
110 rdf:type schema:Person
111 sg:person.0615123022.57 schema:affiliation https://www.grid.ac/institutes/grid.59025.3b
112 schema:familyName Lam
113 schema:givenName Yee Cheong
114 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0615123022.57
115 rdf:type schema:Person
116 sg:person.0704316717.78 schema:affiliation https://www.grid.ac/institutes/grid.59025.3b
117 schema:familyName Cohen
118 schema:givenName Yehuda
119 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0704316717.78
120 rdf:type schema:Person
121 sg:pub.10.1007/978-3-642-70137-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030545584
122 https://doi.org/10.1007/978-3-642-70137-5
123 rdf:type schema:CreativeWork
124 sg:pub.10.1038/35101627 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040700744
125 https://doi.org/10.1038/35101627
126 rdf:type schema:CreativeWork
127 sg:pub.10.1038/ismej.2013.185 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019918138
128 https://doi.org/10.1038/ismej.2013.185
129 rdf:type schema:CreativeWork
130 sg:pub.10.1038/ismej.2013.194 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010955186
131 https://doi.org/10.1038/ismej.2013.194
132 rdf:type schema:CreativeWork
133 sg:pub.10.1038/nature15709 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036855508
134 https://doi.org/10.1038/nature15709
135 rdf:type schema:CreativeWork
136 sg:pub.10.1038/nmicrobiol.2015.12 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042644777
137 https://doi.org/10.1038/nmicrobiol.2015.12
138 rdf:type schema:CreativeWork
139 sg:pub.10.1038/npjbiofilms.2015.6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053712501
140 https://doi.org/10.1038/npjbiofilms.2015.6
141 rdf:type schema:CreativeWork
142 sg:pub.10.1038/nrmicro1556 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053128946
143 https://doi.org/10.1038/nrmicro1556
144 rdf:type schema:CreativeWork
145 sg:pub.10.1038/nrmicro2259 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036917778
146 https://doi.org/10.1038/nrmicro2259
147 rdf:type schema:CreativeWork
148 https://app.dimensions.ai/details/publication/pub.1077159245 schema:CreativeWork
149 https://doi.org/10.1002/bit.23234 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032385500
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1016/0012-1606(84)90295-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039148929
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1016/j.ab.2013.10.027 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044680684
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1016/j.bios.2013.03.031 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005597949
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1016/j.bpj.2011.01.065 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035268811
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1021/ac901420u schema:sameAs https://app.dimensions.ai/details/publication/pub.1055071538
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1039/c003558k schema:sameAs https://app.dimensions.ai/details/publication/pub.1053273400
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1063/1.4771407 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019933712
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1126/science.1109173 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037643136
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1126/science.235.4789.689 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062533718
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1126/science.280.5361.295 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027817107
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1128/aem.03065-09 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032771465
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1128/jb.182.22.6482-6489.2000 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044234481
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1128/jb.184.4.1140-1154.2002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048465176
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1128/jb.185.5.1485-1491.2003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011667731
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1128/microbiolspec.mb-0003-2014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062731140
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1146/annurev.micro.54.1.49 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033574185
182 rdf:type schema:CreativeWork
183 https://doi.org/10.4319/lom.2008.6.477 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008113089
184 rdf:type schema:CreativeWork
185 https://doi.org/10.5860/choice.46-6867 schema:sameAs https://app.dimensions.ai/details/publication/pub.1073432996
186 rdf:type schema:CreativeWork
187 https://www.grid.ac/institutes/grid.59025.3b schema:alternateName Nanyang Technological University
188 schema:name Singapore Centre for Environmental Life Sciences Engineering (SCELSE), Nanyang Technological University, Singapore
189 The School of Biological Science, Nanyang Technological University, Singapore
190 The School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore
191 rdf:type schema:Organization
 




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


...