A synthetic oscillatory network of transcriptional regulators View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2000-01

AUTHORS

Michael B. Elowitz, Stanislas Leibler

ABSTRACT

Networks of interacting biomolecules carry out many essential functions in living cells, but the 'design principles' underlying the functioning of such intracellular networks remain poorly understood, despite intensive efforts including quantitative analysis of relatively simple systems. Here we present a complementary approach to this problem: the design and construction of a synthetic network to implement a particular function. We used three transcriptional repressor systems that are not part of any natural biological clock to build an oscillating network, termed the repressilator, in Escherichia coli. The network periodically induces the synthesis of green fluorescent protein as a readout of its state in individual cells. The resulting oscillations, with typical periods of hours, are slower than the cell-division cycle, so the state of the oscillator has to be transmitted from generation to generation. This artificial clock displays noisy behaviour, possibly because of stochastic fluctuations of its components. Such 'rational network design may lead both to the engineering of new cellular behaviours and to an improved understanding of naturally occurring networks. More... »

PAGES

335

References to SciGraph publications

Journal

TITLE

Nature

ISSUE

6767

VOLUME

403

Author Affiliations

Related Patents

  • Cell-Directed Synthesis Of Multifunctional Nanopatterns And Nanomaterials
  • Recombinase-Based Logic And Memory Systems
  • Recombinase-Based Logic And Memory Systems
  • Compositions And Methods Relating To Orthogonal Ribosome Mrna Pairs
  • Nucleic Acid-Based Logic Circuits
  • Signal Activated Rna Interference
  • Use Of Prokaryotic Transcriptional Activators As Metabolite Biosensors In Eukaryotic Cells
  • Novel Recombinases And Target Sequences
  • Modular Nucleic Acid-Based Circuits For Counters, Binary Operations, Memory, And Logic
  • Data Logging Device
  • Biological Analog-To-Digital And Digital-To-Analog Converters
  • Aptamer Regulated Nucleic Acids And Uses Thereof
  • Biological Circuit Chemotactic Converters
  • Method And Apparatus For Sustaining Viability Of Biological Cells On A Substrate
  • Modular Aptamer-Regulated Ribozymes
  • Reprogrammable Multicellular Synthetic Circuits
  • Medium Scale Integration Of Molecular Logic Gates In An Automaton
  • Modular Nucleic Acid-Based Circuits For Counters, Binary Operations, Memory And Logic
  • Analog And Mixed-Signal Computation And Circuits In Living Cells
  • Riboregulator Compositions And Methods Of Use
  • Method And Apparatus For Sustaining Viability Of Biological Cells On A Substrate
  • Bistable Genetic Toggle Switch Comprising A Pair Of Reciprocal Repressors And A Positive Feedback Loop Based On Dna-Binding Proteins
  • Analog And Mixed-Signal Computation And Circuits In Living Cells
  • Modular Polynucleotides For Ligand-Controlled Regulatory Systems
  • Methods For Sorting Nucleic Acids And Multiplexed Preparative In Vitro Cloning
  • Higher-Order Cellular Information Processing Devices
  • Parallel Macromolecular Delivery And Biochemical/Electrochemical Interface To Cells Employing Nanostructures
  • Tunable Genetic Switch For Regulating Gene Expression
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/35002125

    DOI

    http://dx.doi.org/10.1038/35002125

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1016534270

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/10659856


    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/2008/0601", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Biochemistry and Cell Biology", 
            "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"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Bacterial Proteins", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Biological Clocks", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "DNA-Binding Proteins", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Escherichia coli", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Escherichia coli Proteins", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Fourier Analysis", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Genes, Bacterial", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Green Fluorescent Proteins", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Lac Repressors", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Luminescent Proteins", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Models, Genetic", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Plasmids", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Promoter Regions, Genetic", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "RNA, Messenger", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Repressor Proteins", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Stochastic Processes", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Transcription, Genetic", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Viral Proteins", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Viral Regulatory and Accessory Proteins", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Princeton University", 
              "id": "https://www.grid.ac/institutes/grid.16750.35", 
              "name": [
                "Departments of Molecular Biology and Physics, Princeton University , Princeton, New Jersey 08544, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Elowitz", 
            "givenName": "Michael B.", 
            "id": "sg:person.0756735570.26", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0756735570.26"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Princeton University", 
              "id": "https://www.grid.ac/institutes/grid.16750.35", 
              "name": [
                "Departments of Molecular Biology and Physics, Princeton University , Princeton, New Jersey 08544, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Leibler", 
            "givenName": "Stanislas", 
            "id": "sg:person.01331174612.29", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01331174612.29"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1016/s0378-1119(98)00240-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003180866"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0168-9525(98)01659-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022962026"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.275.5297.224", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025993786"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-662-22492-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026413919", 
              "https://doi.org/10.1007/978-3-662-22492-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-662-22492-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026413919", 
              "https://doi.org/10.1007/978-3-662-22492-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gad.12.9.1338", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035727518"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/25.6.1203", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043602121"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/376307a0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044112594", 
              "https://doi.org/10.1038/376307a0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gad.12.9.1348", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044332124"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0092-8674(00)80566-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047627332"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1146/annurev.biochem.67.1.509", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050836823"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/j100540a008", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055672411"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.270.5238.935", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062551583"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.271.5251.990", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062552262"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.280.5365.852", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062561016"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1083268334", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1017/cbo9780511608193", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1098672753"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2000-01", 
        "datePublishedReg": "2000-01-01", 
        "description": "Networks of interacting biomolecules carry out many essential functions in living cells, but the 'design principles' underlying the functioning of such intracellular networks remain poorly understood, despite intensive efforts including quantitative analysis of relatively simple systems. Here we present a complementary approach to this problem: the design and construction of a synthetic network to implement a particular function. We used three transcriptional repressor systems that are not part of any natural biological clock to build an oscillating network, termed the repressilator, in Escherichia coli. The network periodically induces the synthesis of green fluorescent protein as a readout of its state in individual cells. The resulting oscillations, with typical periods of hours, are slower than the cell-division cycle, so the state of the oscillator has to be transmitted from generation to generation. This artificial clock displays noisy behaviour, possibly because of stochastic fluctuations of its components. Such 'rational network design may lead both to the engineering of new cellular behaviours and to an improved understanding of naturally occurring networks.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1038/35002125", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1018957", 
            "issn": [
              "0090-0028", 
              "1476-4687"
            ], 
            "name": "Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "6767", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "403"
          }
        ], 
        "name": "A synthetic oscillatory network of transcriptional regulators", 
        "pagination": "335", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "4ec7e90cff8475d004371a6f78c6ad51a91b0b9d26e8193ea6ca5da73728ae85"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "10659856"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "0410462"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1038/35002125"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1016534270"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1038/35002125", 
          "https://app.dimensions.ai/details/publication/pub.1016534270"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T12:27", 
        "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/v90/0000000362_0000000362/records_87119_00000000.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://www.nature.com/articles/35002125"
      }
    ]
     

    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.10.1038/35002125'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/35002125'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/35002125'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/35002125'


     

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

    201 TRIPLES      21 PREDICATES      64 URIs      40 LITERALS      28 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1038/35002125 schema:about N05f9a5ef48824864b8d0a21d97102542
    2 N14d7e4dce3884e3e8c2c02500069b54f
    3 N20b06656e7e740539034a9f254acb044
    4 N269cc49d65e14c0eb8387cd49e8683a0
    5 N3c0851234d7a43cfb3e31a6e65d12135
    6 N3c12c77a71c44043b331f248d428761c
    7 N4397814292ab4c07b35ddb1b309440ec
    8 N6904f7ea39084f96a64eda938f305809
    9 N739346a14e4747acb8bd461e44efca00
    10 N75a9cd68effa4c198ecf123907a0d522
    11 N860334969d2a42ee9c4362db1bd40071
    12 N8f9aee466f2c423f8befb44bd78a0a8a
    13 N90527d90e0cb4787afee0225d2b48ba0
    14 N9d31f201a20d49feb9c6d1b4984b46a4
    15 Na809186e8728455d90b9c36970cadcad
    16 Nb1e42a9ff7a247b4947175c02f177d2e
    17 Ne9a036ede21f449e9aebf2beded66cac
    18 Nf234ff2a721f4156a3c30d41e8749c5b
    19 Nfe592ba202b1497ba6719ae4d0bc8729
    20 anzsrc-for:06
    21 anzsrc-for:0601
    22 schema:author N18ac4f59d32448b89f5d18faf3485703
    23 schema:citation sg:pub.10.1007/978-3-662-22492-2
    24 sg:pub.10.1038/376307a0
    25 https://app.dimensions.ai/details/publication/pub.1083268334
    26 https://doi.org/10.1016/s0092-8674(00)80566-8
    27 https://doi.org/10.1016/s0168-9525(98)01659-x
    28 https://doi.org/10.1016/s0378-1119(98)00240-6
    29 https://doi.org/10.1017/cbo9780511608193
    30 https://doi.org/10.1021/j100540a008
    31 https://doi.org/10.1093/nar/25.6.1203
    32 https://doi.org/10.1101/gad.12.9.1338
    33 https://doi.org/10.1101/gad.12.9.1348
    34 https://doi.org/10.1126/science.270.5238.935
    35 https://doi.org/10.1126/science.271.5251.990
    36 https://doi.org/10.1126/science.275.5297.224
    37 https://doi.org/10.1126/science.280.5365.852
    38 https://doi.org/10.1146/annurev.biochem.67.1.509
    39 schema:datePublished 2000-01
    40 schema:datePublishedReg 2000-01-01
    41 schema:description Networks of interacting biomolecules carry out many essential functions in living cells, but the 'design principles' underlying the functioning of such intracellular networks remain poorly understood, despite intensive efforts including quantitative analysis of relatively simple systems. Here we present a complementary approach to this problem: the design and construction of a synthetic network to implement a particular function. We used three transcriptional repressor systems that are not part of any natural biological clock to build an oscillating network, termed the repressilator, in Escherichia coli. The network periodically induces the synthesis of green fluorescent protein as a readout of its state in individual cells. The resulting oscillations, with typical periods of hours, are slower than the cell-division cycle, so the state of the oscillator has to be transmitted from generation to generation. This artificial clock displays noisy behaviour, possibly because of stochastic fluctuations of its components. Such 'rational network design may lead both to the engineering of new cellular behaviours and to an improved understanding of naturally occurring networks.
    42 schema:genre research_article
    43 schema:inLanguage en
    44 schema:isAccessibleForFree false
    45 schema:isPartOf Ne9748621b3854cc3a9b1f7a37251fcb5
    46 Nf5e44c6d76f84b25b4543f5f71377f00
    47 sg:journal.1018957
    48 schema:name A synthetic oscillatory network of transcriptional regulators
    49 schema:pagination 335
    50 schema:productId N6c64151ac0c44014b4860942cd8c3eca
    51 N78aa4ff424014e05aef710fe1890841b
    52 N831d829440ac453d9b7964a34b754b6c
    53 N8aa1ada5eb1e4b21b9f72dc35c3a7125
    54 Nddb35cf576c84e29940290e939fa3c7e
    55 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016534270
    56 https://doi.org/10.1038/35002125
    57 schema:sdDatePublished 2019-04-11T12:27
    58 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    59 schema:sdPublisher Nf212965d913946b38d8d83830ff22181
    60 schema:url https://www.nature.com/articles/35002125
    61 sgo:license sg:explorer/license/
    62 sgo:sdDataset articles
    63 rdf:type schema:ScholarlyArticle
    64 N05f9a5ef48824864b8d0a21d97102542 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    65 schema:name Viral Proteins
    66 rdf:type schema:DefinedTerm
    67 N14d7e4dce3884e3e8c2c02500069b54f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    68 schema:name Escherichia coli
    69 rdf:type schema:DefinedTerm
    70 N18ac4f59d32448b89f5d18faf3485703 rdf:first sg:person.0756735570.26
    71 rdf:rest N9bb28c80e9ba4b28a89689e8c76367e3
    72 N20b06656e7e740539034a9f254acb044 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    73 schema:name Plasmids
    74 rdf:type schema:DefinedTerm
    75 N269cc49d65e14c0eb8387cd49e8683a0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    76 schema:name Promoter Regions, Genetic
    77 rdf:type schema:DefinedTerm
    78 N3c0851234d7a43cfb3e31a6e65d12135 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    79 schema:name Fourier Analysis
    80 rdf:type schema:DefinedTerm
    81 N3c12c77a71c44043b331f248d428761c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    82 schema:name Models, Genetic
    83 rdf:type schema:DefinedTerm
    84 N4397814292ab4c07b35ddb1b309440ec schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    85 schema:name Green Fluorescent Proteins
    86 rdf:type schema:DefinedTerm
    87 N6904f7ea39084f96a64eda938f305809 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    88 schema:name Transcription, Genetic
    89 rdf:type schema:DefinedTerm
    90 N6c64151ac0c44014b4860942cd8c3eca schema:name doi
    91 schema:value 10.1038/35002125
    92 rdf:type schema:PropertyValue
    93 N739346a14e4747acb8bd461e44efca00 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    94 schema:name Repressor Proteins
    95 rdf:type schema:DefinedTerm
    96 N75a9cd68effa4c198ecf123907a0d522 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    97 schema:name DNA-Binding Proteins
    98 rdf:type schema:DefinedTerm
    99 N78aa4ff424014e05aef710fe1890841b schema:name readcube_id
    100 schema:value 4ec7e90cff8475d004371a6f78c6ad51a91b0b9d26e8193ea6ca5da73728ae85
    101 rdf:type schema:PropertyValue
    102 N831d829440ac453d9b7964a34b754b6c schema:name pubmed_id
    103 schema:value 10659856
    104 rdf:type schema:PropertyValue
    105 N860334969d2a42ee9c4362db1bd40071 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    106 schema:name Biological Clocks
    107 rdf:type schema:DefinedTerm
    108 N8aa1ada5eb1e4b21b9f72dc35c3a7125 schema:name nlm_unique_id
    109 schema:value 0410462
    110 rdf:type schema:PropertyValue
    111 N8f9aee466f2c423f8befb44bd78a0a8a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    112 schema:name Luminescent Proteins
    113 rdf:type schema:DefinedTerm
    114 N90527d90e0cb4787afee0225d2b48ba0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    115 schema:name Stochastic Processes
    116 rdf:type schema:DefinedTerm
    117 N9bb28c80e9ba4b28a89689e8c76367e3 rdf:first sg:person.01331174612.29
    118 rdf:rest rdf:nil
    119 N9d31f201a20d49feb9c6d1b4984b46a4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    120 schema:name RNA, Messenger
    121 rdf:type schema:DefinedTerm
    122 Na809186e8728455d90b9c36970cadcad schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    123 schema:name Escherichia coli Proteins
    124 rdf:type schema:DefinedTerm
    125 Nb1e42a9ff7a247b4947175c02f177d2e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    126 schema:name Viral Regulatory and Accessory Proteins
    127 rdf:type schema:DefinedTerm
    128 Nddb35cf576c84e29940290e939fa3c7e schema:name dimensions_id
    129 schema:value pub.1016534270
    130 rdf:type schema:PropertyValue
    131 Ne9748621b3854cc3a9b1f7a37251fcb5 schema:volumeNumber 403
    132 rdf:type schema:PublicationVolume
    133 Ne9a036ede21f449e9aebf2beded66cac schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    134 schema:name Lac Repressors
    135 rdf:type schema:DefinedTerm
    136 Nf212965d913946b38d8d83830ff22181 schema:name Springer Nature - SN SciGraph project
    137 rdf:type schema:Organization
    138 Nf234ff2a721f4156a3c30d41e8749c5b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    139 schema:name Genes, Bacterial
    140 rdf:type schema:DefinedTerm
    141 Nf5e44c6d76f84b25b4543f5f71377f00 schema:issueNumber 6767
    142 rdf:type schema:PublicationIssue
    143 Nfe592ba202b1497ba6719ae4d0bc8729 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    144 schema:name Bacterial Proteins
    145 rdf:type schema:DefinedTerm
    146 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    147 schema:name Biological Sciences
    148 rdf:type schema:DefinedTerm
    149 anzsrc-for:0601 schema:inDefinedTermSet anzsrc-for:
    150 schema:name Biochemistry and Cell Biology
    151 rdf:type schema:DefinedTerm
    152 sg:journal.1018957 schema:issn 0090-0028
    153 1476-4687
    154 schema:name Nature
    155 rdf:type schema:Periodical
    156 sg:person.01331174612.29 schema:affiliation https://www.grid.ac/institutes/grid.16750.35
    157 schema:familyName Leibler
    158 schema:givenName Stanislas
    159 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01331174612.29
    160 rdf:type schema:Person
    161 sg:person.0756735570.26 schema:affiliation https://www.grid.ac/institutes/grid.16750.35
    162 schema:familyName Elowitz
    163 schema:givenName Michael B.
    164 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0756735570.26
    165 rdf:type schema:Person
    166 sg:pub.10.1007/978-3-662-22492-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026413919
    167 https://doi.org/10.1007/978-3-662-22492-2
    168 rdf:type schema:CreativeWork
    169 sg:pub.10.1038/376307a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044112594
    170 https://doi.org/10.1038/376307a0
    171 rdf:type schema:CreativeWork
    172 https://app.dimensions.ai/details/publication/pub.1083268334 schema:CreativeWork
    173 https://doi.org/10.1016/s0092-8674(00)80566-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047627332
    174 rdf:type schema:CreativeWork
    175 https://doi.org/10.1016/s0168-9525(98)01659-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1022962026
    176 rdf:type schema:CreativeWork
    177 https://doi.org/10.1016/s0378-1119(98)00240-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003180866
    178 rdf:type schema:CreativeWork
    179 https://doi.org/10.1017/cbo9780511608193 schema:sameAs https://app.dimensions.ai/details/publication/pub.1098672753
    180 rdf:type schema:CreativeWork
    181 https://doi.org/10.1021/j100540a008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055672411
    182 rdf:type schema:CreativeWork
    183 https://doi.org/10.1093/nar/25.6.1203 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043602121
    184 rdf:type schema:CreativeWork
    185 https://doi.org/10.1101/gad.12.9.1338 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035727518
    186 rdf:type schema:CreativeWork
    187 https://doi.org/10.1101/gad.12.9.1348 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044332124
    188 rdf:type schema:CreativeWork
    189 https://doi.org/10.1126/science.270.5238.935 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062551583
    190 rdf:type schema:CreativeWork
    191 https://doi.org/10.1126/science.271.5251.990 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062552262
    192 rdf:type schema:CreativeWork
    193 https://doi.org/10.1126/science.275.5297.224 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025993786
    194 rdf:type schema:CreativeWork
    195 https://doi.org/10.1126/science.280.5365.852 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062561016
    196 rdf:type schema:CreativeWork
    197 https://doi.org/10.1146/annurev.biochem.67.1.509 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050836823
    198 rdf:type schema:CreativeWork
    199 https://www.grid.ac/institutes/grid.16750.35 schema:alternateName Princeton University
    200 schema:name Departments of Molecular Biology and Physics, Princeton University , Princeton, New Jersey 08544, USA
    201 rdf:type schema:Organization
     




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


    ...