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 N00a2e54c791840a4b663379d3ae142b0
    2 N0922ad0b7b7a4d12b3c2af445cc03907
    3 N0b5dbb6926d145b39f0e7598e42783f0
    4 N214a9c3e54c54dc0b91f5d1da885ae20
    5 N329d4c3f29f8420cbd65de3541df84df
    6 N37f78dbab49a44a794ce7d026292a681
    7 N3f1cd2d5057642849621cab2b747f03c
    8 N4571b4feafbd4cbaaf4d26a9e09f817b
    9 N4cca6c2f73e54e9eb933bd12a24ecc92
    10 N584b8bf9f04a40b48dcbd15ecca38e7a
    11 N636a5a10f0ba4b7f9a3c091b8256ffa6
    12 N85278abe7c58452cbf60807fcd38f5b1
    13 N8eaf3c65450244979b5feee4341d8840
    14 N964795a475a049329f6d7b5958125f36
    15 N97f8ca961b044792bdf051fe883b09cb
    16 Nd33d03c11f994d65a105c52526cee273
    17 Ndd45a55dbae941a19f437a1f32ab5088
    18 Ne879901531c1462caefc8a06bd93f9df
    19 Nf3a15b22ad764b1bacdc734bea7d6b71
    20 anzsrc-for:06
    21 anzsrc-for:0601
    22 schema:author Nfe8bcbb9f7f0454e9124da89ae345c05
    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 N464c8d25e0e349bca2f89969ff65a618
    46 Ne5eddd1bba3540498aa6590f88ea48c4
    47 sg:journal.1018957
    48 schema:name A synthetic oscillatory network of transcriptional regulators
    49 schema:pagination 335
    50 schema:productId N5f2b1c4fd396429ba70c2395aab3b0bd
    51 N833d573630e64158813237c74e1fb6af
    52 N898b6dcc58004ed3b1f1433c18de2822
    53 Nc1e90509f3ee47f2b406e95e87d1b392
    54 Neec27a05ad434461b1161cbe1ef14867
    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 N17056a1f7f3e4186818e49905e548941
    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 N00a2e54c791840a4b663379d3ae142b0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    65 schema:name DNA-Binding Proteins
    66 rdf:type schema:DefinedTerm
    67 N0922ad0b7b7a4d12b3c2af445cc03907 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    68 schema:name Promoter Regions, Genetic
    69 rdf:type schema:DefinedTerm
    70 N0b5dbb6926d145b39f0e7598e42783f0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    71 schema:name Bacterial Proteins
    72 rdf:type schema:DefinedTerm
    73 N17056a1f7f3e4186818e49905e548941 schema:name Springer Nature - SN SciGraph project
    74 rdf:type schema:Organization
    75 N214a9c3e54c54dc0b91f5d1da885ae20 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    76 schema:name Viral Regulatory and Accessory Proteins
    77 rdf:type schema:DefinedTerm
    78 N329d4c3f29f8420cbd65de3541df84df schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    79 schema:name Stochastic Processes
    80 rdf:type schema:DefinedTerm
    81 N37f78dbab49a44a794ce7d026292a681 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    82 schema:name Models, Genetic
    83 rdf:type schema:DefinedTerm
    84 N3f1cd2d5057642849621cab2b747f03c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    85 schema:name Viral Proteins
    86 rdf:type schema:DefinedTerm
    87 N4571b4feafbd4cbaaf4d26a9e09f817b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    88 schema:name Lac Repressors
    89 rdf:type schema:DefinedTerm
    90 N464c8d25e0e349bca2f89969ff65a618 schema:volumeNumber 403
    91 rdf:type schema:PublicationVolume
    92 N4cca6c2f73e54e9eb933bd12a24ecc92 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    93 schema:name Repressor Proteins
    94 rdf:type schema:DefinedTerm
    95 N584b8bf9f04a40b48dcbd15ecca38e7a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    96 schema:name RNA, Messenger
    97 rdf:type schema:DefinedTerm
    98 N5f2b1c4fd396429ba70c2395aab3b0bd schema:name doi
    99 schema:value 10.1038/35002125
    100 rdf:type schema:PropertyValue
    101 N636a5a10f0ba4b7f9a3c091b8256ffa6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    102 schema:name Escherichia coli Proteins
    103 rdf:type schema:DefinedTerm
    104 N833d573630e64158813237c74e1fb6af schema:name dimensions_id
    105 schema:value pub.1016534270
    106 rdf:type schema:PropertyValue
    107 N85278abe7c58452cbf60807fcd38f5b1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    108 schema:name Luminescent Proteins
    109 rdf:type schema:DefinedTerm
    110 N898b6dcc58004ed3b1f1433c18de2822 schema:name nlm_unique_id
    111 schema:value 0410462
    112 rdf:type schema:PropertyValue
    113 N8eaf3c65450244979b5feee4341d8840 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    114 schema:name Green Fluorescent Proteins
    115 rdf:type schema:DefinedTerm
    116 N964795a475a049329f6d7b5958125f36 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    117 schema:name Plasmids
    118 rdf:type schema:DefinedTerm
    119 N97f8ca961b044792bdf051fe883b09cb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    120 schema:name Genes, Bacterial
    121 rdf:type schema:DefinedTerm
    122 Nc1e90509f3ee47f2b406e95e87d1b392 schema:name readcube_id
    123 schema:value 4ec7e90cff8475d004371a6f78c6ad51a91b0b9d26e8193ea6ca5da73728ae85
    124 rdf:type schema:PropertyValue
    125 Nd33d03c11f994d65a105c52526cee273 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    126 schema:name Fourier Analysis
    127 rdf:type schema:DefinedTerm
    128 Ndd45a55dbae941a19f437a1f32ab5088 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    129 schema:name Transcription, Genetic
    130 rdf:type schema:DefinedTerm
    131 Ne5eddd1bba3540498aa6590f88ea48c4 schema:issueNumber 6767
    132 rdf:type schema:PublicationIssue
    133 Ne7da8fe3fd2e4847a219d766c987c4c3 rdf:first sg:person.01331174612.29
    134 rdf:rest rdf:nil
    135 Ne879901531c1462caefc8a06bd93f9df schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    136 schema:name Biological Clocks
    137 rdf:type schema:DefinedTerm
    138 Neec27a05ad434461b1161cbe1ef14867 schema:name pubmed_id
    139 schema:value 10659856
    140 rdf:type schema:PropertyValue
    141 Nf3a15b22ad764b1bacdc734bea7d6b71 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    142 schema:name Escherichia coli
    143 rdf:type schema:DefinedTerm
    144 Nfe8bcbb9f7f0454e9124da89ae345c05 rdf:first sg:person.0756735570.26
    145 rdf:rest Ne7da8fe3fd2e4847a219d766c987c4c3
    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)


    ...