Multiplexed tracking of combinatorial genomic mutations in engineered cell populations View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2015-06

AUTHORS

Ramsey I Zeitoun, Andrew D Garst, George D Degen, Gur Pines, Thomas J Mansell, Tirzah Y Glebes, Nanette R Boyle, Ryan T Gill

ABSTRACT

Multiplexed genome engineering approaches can be used to generate targeted genetic diversity in cell populations on laboratory timescales, but methods to track mutations and link them to phenotypes have been lacking. We present an approach for tracking combinatorial engineered libraries (TRACE) through the simultaneous mapping of millions of combinatorially engineered genomes at single-cell resolution. Distal genomic sites are assembled into individual DNA constructs that are compatible with next-generation sequencing strategies. We used TRACE to map growth selection dynamics for Escherichia coli combinatorial libraries created by recursive multiplex recombineering at a depth 10(4)-fold greater than before. TRACE was used to identify genotype-to-phenotype correlations and to map the evolutionary trajectory of two individual combinatorial mutants in E. coli. Combinatorial mutations in the human ES2 ovarian carcinoma cell line were also assessed with TRACE. TRACE completes the combinatorial engineering cycle and enables more sophisticated approaches to genome engineering in both bacteria and eukaryotic cells than are currently possible. More... »

PAGES

631-637

References to SciGraph publications

  • 2014-05. Microfluidic high-throughput culturing of single cells for selection based on extracellular metabolite production or consumption in NATURE BIOTECHNOLOGY
  • 2012-06. Systems metabolic engineering of microorganisms for natural and non-natural chemicals in NATURE CHEMICAL BIOLOGY
  • 2013-03. RNA-guided editing of bacterial genomes using CRISPR-Cas systems in NATURE BIOTECHNOLOGY
  • 2011-04. Tumour evolution inferred by single-cell sequencing in NATURE
  • 2010-01. Sequencing technologies — the next generation in NATURE REVIEWS GENETICS
  • 2013-02. Metabolic engineering of Escherichia coli using synthetic small regulatory RNAs in NATURE BIOTECHNOLOGY
  • 2006-07. Amplification of complex gene libraries by emulsion PCR in NATURE METHODS
  • 2012-06. Genome-scale promoter engineering by coselection MAGE in NATURE METHODS
  • 2010-02. Target-enrichment strategies for next-generation sequencing in NATURE METHODS
  • 2014-07. The dawn of evolutionary genome engineering in NATURE REVIEWS GENETICS
  • 2009-12. Exploring protein fitness landscapes by directed evolution in NATURE REVIEWS MOLECULAR CELL BIOLOGY
  • 2010-08. Rapid profiling of a microbial genome using mixtures of barcoded oligonucleotides in NATURE BIOTECHNOLOGY
  • 2013-09. Design and use of synthetic regulatory small RNAs to control gene expression in Escherichia coli in NATURE PROTOCOLS
  • 2011-12. Evolution combined with genomic study elucidates genetic bases of isobutanol tolerance in Escherichia coli in MICROBIAL CELL FACTORIES
  • 2013-12. Genome dynamics during experimental evolution in NATURE REVIEWS GENETICS
  • 2008-11. Epistasis — the essential role of gene interactions in the structure and evolution of genetic systems in NATURE REVIEWS GENETICS
  • 2014-05. Large-scale de novo DNA synthesis: technologies and applications in NATURE METHODS
  • 2008-10. Identification of genetic variants using bar-coded multiplexed sequencing in NATURE METHODS
  • 2009-11. Microdroplet-based PCR enrichment for large-scale targeted sequencing in NATURE BIOTECHNOLOGY
  • 2009-08. Programming cells by multiplex genome engineering and accelerated evolution in NATURE
  • 2005-05. Construction of lycopene-overproducing E. coli strains by combining systematic and combinatorial gene knockout targets in NATURE BIOTECHNOLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/nbt.3177

    DOI

    http://dx.doi.org/10.1038/nbt.3177

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1041733464

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/25798935


    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/2008/0604", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Genetics", 
            "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": "Escherichia coli", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Genetic Association Studies", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Genetic Engineering", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Genetic Variation", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Genome, Bacterial", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Genomics", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "High-Throughput Nucleotide Sequencing", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Humans", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Mutation", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Single-Cell Analysis", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "University of Colorado Boulder", 
              "id": "https://www.grid.ac/institutes/grid.266190.a", 
              "name": [
                "Department of Chemical and Biological Engineering, University of Colorado Boulder, Boulder, Colorado, USA."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Zeitoun", 
            "givenName": "Ramsey I", 
            "id": "sg:person.01037233146.07", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01037233146.07"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Colorado Boulder", 
              "id": "https://www.grid.ac/institutes/grid.266190.a", 
              "name": [
                "Department of Chemical and Biological Engineering, University of Colorado Boulder, Boulder, Colorado, USA."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Garst", 
            "givenName": "Andrew D", 
            "id": "sg:person.01272005335.42", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01272005335.42"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Carnegie Mellon University", 
              "id": "https://www.grid.ac/institutes/grid.147455.6", 
              "name": [
                "Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Degen", 
            "givenName": "George D", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Colorado Boulder", 
              "id": "https://www.grid.ac/institutes/grid.266190.a", 
              "name": [
                "Department of Chemical and Biological Engineering, University of Colorado Boulder, Boulder, Colorado, USA."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Pines", 
            "givenName": "Gur", 
            "id": "sg:person.01177300015.36", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01177300015.36"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Colorado Boulder", 
              "id": "https://www.grid.ac/institutes/grid.266190.a", 
              "name": [
                "Department of Chemical and Biological Engineering, University of Colorado Boulder, Boulder, Colorado, USA."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Mansell", 
            "givenName": "Thomas J", 
            "id": "sg:person.01200370115.49", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01200370115.49"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Colorado Boulder", 
              "id": "https://www.grid.ac/institutes/grid.266190.a", 
              "name": [
                "Department of Chemical and Biological Engineering, University of Colorado Boulder, Boulder, Colorado, USA."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Glebes", 
            "givenName": "Tirzah Y", 
            "id": "sg:person.01261364477.39", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01261364477.39"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Colorado School of Mines", 
              "id": "https://www.grid.ac/institutes/grid.254549.b", 
              "name": [
                "Department of Chemical and Biological Engineering, Colorado School of Mines, Golden, Colorado, USA."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Boyle", 
            "givenName": "Nanette R", 
            "id": "sg:person.0653111245.32", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0653111245.32"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Colorado Boulder", 
              "id": "https://www.grid.ac/institutes/grid.266190.a", 
              "name": [
                "Department of Chemical and Biological Engineering, University of Colorado Boulder, Boulder, Colorado, USA."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Gill", 
            "givenName": "Ryan T", 
            "id": "sg:person.0630347705.68", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0630347705.68"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1016/b978-0-12-385120-8.00018-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001605129"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ymben.2012.10.007", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002784583"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth.1251", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003153857", 
              "https://doi.org/10.1038/nmeth.1251"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature08187", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004117037", 
              "https://doi.org/10.1038/nature08187"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature08187", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004117037", 
              "https://doi.org/10.1038/nature08187"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s1389-1723(03)90130-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006089919"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg3564", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010661749", 
              "https://doi.org/10.1038/nrg3564"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg2452", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017234177", 
              "https://doi.org/10.1038/nrg2452"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkp1116", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017642262"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1038/msb.2010.33", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019183478"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1038/msb.2010.33", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019183478"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.1000080107", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019627885"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nprot.2013.105", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019874975", 
              "https://doi.org/10.1038/nprot.2013.105"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt.2508", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019888616", 
              "https://doi.org/10.1038/nbt.2508"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.092759.109", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020163602"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature09807", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020406938", 
              "https://doi.org/10.1038/nature09807"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0023126", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020994107"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth.2918", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022164954", 
              "https://doi.org/10.1038/nmeth.2918"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt.1583", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022555745", 
              "https://doi.org/10.1038/nbt.1583"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt.1583", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022555745", 
              "https://doi.org/10.1038/nbt.1583"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg2626", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023911485", 
              "https://doi.org/10.1038/nrg2626"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg2626", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023911485", 
              "https://doi.org/10.1038/nrg2626"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nchembio.970", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025152074", 
              "https://doi.org/10.1038/nchembio.970"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt.2857", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025447294", 
              "https://doi.org/10.1038/nbt.2857"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.1217958110", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028235039"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt1083", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030303005", 
              "https://doi.org/10.1038/nbt1083"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt1083", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030303005", 
              "https://doi.org/10.1038/nbt1083"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.15252/msb.20134955", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032202316"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg3746", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036830514", 
              "https://doi.org/10.1038/nrg3746"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1475-2859-10-18", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039195586", 
              "https://doi.org/10.1186/1475-2859-10-18"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.0709089105", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039318416"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/bti716", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041164574"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth.1419", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042265948", 
              "https://doi.org/10.1038/nmeth.1419"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth.1419", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042265948", 
              "https://doi.org/10.1038/nmeth.1419"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth.1971", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043926621", 
              "https://doi.org/10.1038/nmeth.1971"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrm2805", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044846333", 
              "https://doi.org/10.1038/nrm2805"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrm2805", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044846333", 
              "https://doi.org/10.1038/nrm2805"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jmb.2011.01.030", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045492942"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth896", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046539255", 
              "https://doi.org/10.1038/nmeth896"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth896", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046539255", 
              "https://doi.org/10.1038/nmeth896"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.1206299109", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046945783"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt.1653", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050549966", 
              "https://doi.org/10.1038/nbt.1653"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt.2461", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050873149", 
              "https://doi.org/10.1038/nbt.2461"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkt915", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051074257"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/bit.20617", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051774451"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/bit.20617", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051774451"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0001279", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052160202"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gki556", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052206564"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1203801", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062464589"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1078635978", 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2015-06", 
        "datePublishedReg": "2015-06-01", 
        "description": "Multiplexed genome engineering approaches can be used to generate targeted genetic diversity in cell populations on laboratory timescales, but methods to track mutations and link them to phenotypes have been lacking. We present an approach for tracking combinatorial engineered libraries (TRACE) through the simultaneous mapping of millions of combinatorially engineered genomes at single-cell resolution. Distal genomic sites are assembled into individual DNA constructs that are compatible with next-generation sequencing strategies. We used TRACE to map growth selection dynamics for Escherichia coli combinatorial libraries created by recursive multiplex recombineering at a depth 10(4)-fold greater than before. TRACE was used to identify genotype-to-phenotype correlations and to map the evolutionary trajectory of two individual combinatorial mutants in E. coli. Combinatorial mutations in the human ES2 ovarian carcinoma cell line were also assessed with TRACE. TRACE completes the combinatorial engineering cycle and enables more sophisticated approaches to genome engineering in both bacteria and eukaryotic cells than are currently possible. ", 
        "genre": "research_article", 
        "id": "sg:pub.10.1038/nbt.3177", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.3482434", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": [
          {
            "id": "sg:journal.1115214", 
            "issn": [
              "1087-0156", 
              "1546-1696"
            ], 
            "name": "Nature Biotechnology", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "6", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "33"
          }
        ], 
        "name": "Multiplexed tracking of combinatorial genomic mutations in engineered cell populations", 
        "pagination": "631-637", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "c6ccd5f820f0e96e7f5ae1303641965a9b988fe7bb432827679b776c5554c94c"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "25798935"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "9604648"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1038/nbt.3177"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1041733464"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1038/nbt.3177", 
          "https://app.dimensions.ai/details/publication/pub.1041733464"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-10T20:35", 
        "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_8684_00000426.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://www.nature.com/nbt/journal/v33/n6/full/nbt.3177.html"
      }
    ]
     

    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/nbt.3177'

    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/nbt.3177'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/nbt.3177'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/nbt.3177'


     

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

    308 TRIPLES      21 PREDICATES      80 URIs      31 LITERALS      19 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1038/nbt.3177 schema:about N112180c5f2984739838711e2cc39b454
    2 N21df98ac9f55438197faf59baa896f60
    3 N2c9172f0029a4412839e5d8ca3a66f8c
    4 N3bac5a0d34c043e48fb89b0a7c35107c
    5 N71fdda30e3b044ae8b89926476d758ce
    6 Nb0be9c8e1771418c9e7dcc535f216a49
    7 Nd607a4e911be44ca9ff2ce0586da31bb
    8 Nded068f9f2db43e2bf93bd0bcc3df747
    9 Ne34a0599ec3d4f06ab47d1f6177ca41f
    10 Nfd320deb61534baabeaac3e4cb817d6f
    11 anzsrc-for:06
    12 anzsrc-for:0604
    13 schema:author N1d3966120212490189014a638605556b
    14 schema:citation sg:pub.10.1038/nature08187
    15 sg:pub.10.1038/nature09807
    16 sg:pub.10.1038/nbt.1583
    17 sg:pub.10.1038/nbt.1653
    18 sg:pub.10.1038/nbt.2461
    19 sg:pub.10.1038/nbt.2508
    20 sg:pub.10.1038/nbt.2857
    21 sg:pub.10.1038/nbt1083
    22 sg:pub.10.1038/nchembio.970
    23 sg:pub.10.1038/nmeth.1251
    24 sg:pub.10.1038/nmeth.1419
    25 sg:pub.10.1038/nmeth.1971
    26 sg:pub.10.1038/nmeth.2918
    27 sg:pub.10.1038/nmeth896
    28 sg:pub.10.1038/nprot.2013.105
    29 sg:pub.10.1038/nrg2452
    30 sg:pub.10.1038/nrg2626
    31 sg:pub.10.1038/nrg3564
    32 sg:pub.10.1038/nrg3746
    33 sg:pub.10.1038/nrm2805
    34 sg:pub.10.1186/1475-2859-10-18
    35 https://app.dimensions.ai/details/publication/pub.1078635978
    36 https://doi.org/10.1002/bit.20617
    37 https://doi.org/10.1016/b978-0-12-385120-8.00018-8
    38 https://doi.org/10.1016/j.jmb.2011.01.030
    39 https://doi.org/10.1016/j.ymben.2012.10.007
    40 https://doi.org/10.1016/s1389-1723(03)90130-7
    41 https://doi.org/10.1038/msb.2010.33
    42 https://doi.org/10.1073/pnas.0709089105
    43 https://doi.org/10.1073/pnas.1000080107
    44 https://doi.org/10.1073/pnas.1206299109
    45 https://doi.org/10.1073/pnas.1217958110
    46 https://doi.org/10.1093/bioinformatics/bti716
    47 https://doi.org/10.1093/nar/gki556
    48 https://doi.org/10.1093/nar/gkp1116
    49 https://doi.org/10.1093/nar/gkt915
    50 https://doi.org/10.1101/gr.092759.109
    51 https://doi.org/10.1126/science.1203801
    52 https://doi.org/10.1371/journal.pone.0001279
    53 https://doi.org/10.1371/journal.pone.0023126
    54 https://doi.org/10.15252/msb.20134955
    55 schema:datePublished 2015-06
    56 schema:datePublishedReg 2015-06-01
    57 schema:description Multiplexed genome engineering approaches can be used to generate targeted genetic diversity in cell populations on laboratory timescales, but methods to track mutations and link them to phenotypes have been lacking. We present an approach for tracking combinatorial engineered libraries (TRACE) through the simultaneous mapping of millions of combinatorially engineered genomes at single-cell resolution. Distal genomic sites are assembled into individual DNA constructs that are compatible with next-generation sequencing strategies. We used TRACE to map growth selection dynamics for Escherichia coli combinatorial libraries created by recursive multiplex recombineering at a depth 10(4)-fold greater than before. TRACE was used to identify genotype-to-phenotype correlations and to map the evolutionary trajectory of two individual combinatorial mutants in E. coli. Combinatorial mutations in the human ES2 ovarian carcinoma cell line were also assessed with TRACE. TRACE completes the combinatorial engineering cycle and enables more sophisticated approaches to genome engineering in both bacteria and eukaryotic cells than are currently possible.
    58 schema:genre research_article
    59 schema:inLanguage en
    60 schema:isAccessibleForFree false
    61 schema:isPartOf Nc38db0a30b7743bb96b1c5db0b23ddc0
    62 Nc46d66fc12954867a73d1d436fe6337d
    63 sg:journal.1115214
    64 schema:name Multiplexed tracking of combinatorial genomic mutations in engineered cell populations
    65 schema:pagination 631-637
    66 schema:productId N5449876d6bf34024a6f22683a5e2e752
    67 N9be2afc0695b4f4796d9891052daf105
    68 Nd54c2c6c76664f91b1f13c0665455b2e
    69 Ndf4171286a0441d7b0b68ef7a6e05307
    70 Ne614b44bcedc4644a0d69f06da34748d
    71 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041733464
    72 https://doi.org/10.1038/nbt.3177
    73 schema:sdDatePublished 2019-04-10T20:35
    74 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    75 schema:sdPublisher N93d4906035ea4e9f8e1686bfc5afe271
    76 schema:url http://www.nature.com/nbt/journal/v33/n6/full/nbt.3177.html
    77 sgo:license sg:explorer/license/
    78 sgo:sdDataset articles
    79 rdf:type schema:ScholarlyArticle
    80 N112180c5f2984739838711e2cc39b454 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    81 schema:name High-Throughput Nucleotide Sequencing
    82 rdf:type schema:DefinedTerm
    83 N1d3966120212490189014a638605556b rdf:first sg:person.01037233146.07
    84 rdf:rest Ne87d81cff7444419816aede353adb26c
    85 N21df98ac9f55438197faf59baa896f60 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    86 schema:name Genetic Association Studies
    87 rdf:type schema:DefinedTerm
    88 N2c9172f0029a4412839e5d8ca3a66f8c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    89 schema:name Escherichia coli
    90 rdf:type schema:DefinedTerm
    91 N3703487c2b4745d7a88015a5519d9d0b rdf:first sg:person.01177300015.36
    92 rdf:rest N3a77dc47f11749df9e97f89b7d219f40
    93 N3a77dc47f11749df9e97f89b7d219f40 rdf:first sg:person.01200370115.49
    94 rdf:rest Nf3627f2fb18646518f4837e537d369fe
    95 N3b0b5191ec124a69a2ac2db1b5deb963 rdf:first sg:person.0653111245.32
    96 rdf:rest N9e41e2b32297496586c4c3198b1e1cb4
    97 N3bac5a0d34c043e48fb89b0a7c35107c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    98 schema:name Humans
    99 rdf:type schema:DefinedTerm
    100 N5449876d6bf34024a6f22683a5e2e752 schema:name dimensions_id
    101 schema:value pub.1041733464
    102 rdf:type schema:PropertyValue
    103 N71fdda30e3b044ae8b89926476d758ce schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    104 schema:name Genetic Variation
    105 rdf:type schema:DefinedTerm
    106 N93d4906035ea4e9f8e1686bfc5afe271 schema:name Springer Nature - SN SciGraph project
    107 rdf:type schema:Organization
    108 N9be2afc0695b4f4796d9891052daf105 schema:name doi
    109 schema:value 10.1038/nbt.3177
    110 rdf:type schema:PropertyValue
    111 N9e41e2b32297496586c4c3198b1e1cb4 rdf:first sg:person.0630347705.68
    112 rdf:rest rdf:nil
    113 Nb0be9c8e1771418c9e7dcc535f216a49 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    114 schema:name Single-Cell Analysis
    115 rdf:type schema:DefinedTerm
    116 Nb813ec61a9b5449081dd4b3d08f31930 schema:affiliation https://www.grid.ac/institutes/grid.147455.6
    117 schema:familyName Degen
    118 schema:givenName George D
    119 rdf:type schema:Person
    120 Nc38db0a30b7743bb96b1c5db0b23ddc0 schema:issueNumber 6
    121 rdf:type schema:PublicationIssue
    122 Nc46d66fc12954867a73d1d436fe6337d schema:volumeNumber 33
    123 rdf:type schema:PublicationVolume
    124 Nd54c2c6c76664f91b1f13c0665455b2e schema:name pubmed_id
    125 schema:value 25798935
    126 rdf:type schema:PropertyValue
    127 Nd607a4e911be44ca9ff2ce0586da31bb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    128 schema:name Mutation
    129 rdf:type schema:DefinedTerm
    130 Nded068f9f2db43e2bf93bd0bcc3df747 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    131 schema:name Genomics
    132 rdf:type schema:DefinedTerm
    133 Ndf4171286a0441d7b0b68ef7a6e05307 schema:name readcube_id
    134 schema:value c6ccd5f820f0e96e7f5ae1303641965a9b988fe7bb432827679b776c5554c94c
    135 rdf:type schema:PropertyValue
    136 Ne34a0599ec3d4f06ab47d1f6177ca41f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    137 schema:name Genetic Engineering
    138 rdf:type schema:DefinedTerm
    139 Ne614b44bcedc4644a0d69f06da34748d schema:name nlm_unique_id
    140 schema:value 9604648
    141 rdf:type schema:PropertyValue
    142 Ne87d81cff7444419816aede353adb26c rdf:first sg:person.01272005335.42
    143 rdf:rest Nf84931bf28fd4819a59878c1190b5b25
    144 Nf3627f2fb18646518f4837e537d369fe rdf:first sg:person.01261364477.39
    145 rdf:rest N3b0b5191ec124a69a2ac2db1b5deb963
    146 Nf84931bf28fd4819a59878c1190b5b25 rdf:first Nb813ec61a9b5449081dd4b3d08f31930
    147 rdf:rest N3703487c2b4745d7a88015a5519d9d0b
    148 Nfd320deb61534baabeaac3e4cb817d6f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    149 schema:name Genome, Bacterial
    150 rdf:type schema:DefinedTerm
    151 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    152 schema:name Biological Sciences
    153 rdf:type schema:DefinedTerm
    154 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
    155 schema:name Genetics
    156 rdf:type schema:DefinedTerm
    157 sg:grant.3482434 http://pending.schema.org/fundedItem sg:pub.10.1038/nbt.3177
    158 rdf:type schema:MonetaryGrant
    159 sg:journal.1115214 schema:issn 1087-0156
    160 1546-1696
    161 schema:name Nature Biotechnology
    162 rdf:type schema:Periodical
    163 sg:person.01037233146.07 schema:affiliation https://www.grid.ac/institutes/grid.266190.a
    164 schema:familyName Zeitoun
    165 schema:givenName Ramsey I
    166 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01037233146.07
    167 rdf:type schema:Person
    168 sg:person.01177300015.36 schema:affiliation https://www.grid.ac/institutes/grid.266190.a
    169 schema:familyName Pines
    170 schema:givenName Gur
    171 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01177300015.36
    172 rdf:type schema:Person
    173 sg:person.01200370115.49 schema:affiliation https://www.grid.ac/institutes/grid.266190.a
    174 schema:familyName Mansell
    175 schema:givenName Thomas J
    176 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01200370115.49
    177 rdf:type schema:Person
    178 sg:person.01261364477.39 schema:affiliation https://www.grid.ac/institutes/grid.266190.a
    179 schema:familyName Glebes
    180 schema:givenName Tirzah Y
    181 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01261364477.39
    182 rdf:type schema:Person
    183 sg:person.01272005335.42 schema:affiliation https://www.grid.ac/institutes/grid.266190.a
    184 schema:familyName Garst
    185 schema:givenName Andrew D
    186 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01272005335.42
    187 rdf:type schema:Person
    188 sg:person.0630347705.68 schema:affiliation https://www.grid.ac/institutes/grid.266190.a
    189 schema:familyName Gill
    190 schema:givenName Ryan T
    191 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0630347705.68
    192 rdf:type schema:Person
    193 sg:person.0653111245.32 schema:affiliation https://www.grid.ac/institutes/grid.254549.b
    194 schema:familyName Boyle
    195 schema:givenName Nanette R
    196 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0653111245.32
    197 rdf:type schema:Person
    198 sg:pub.10.1038/nature08187 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004117037
    199 https://doi.org/10.1038/nature08187
    200 rdf:type schema:CreativeWork
    201 sg:pub.10.1038/nature09807 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020406938
    202 https://doi.org/10.1038/nature09807
    203 rdf:type schema:CreativeWork
    204 sg:pub.10.1038/nbt.1583 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022555745
    205 https://doi.org/10.1038/nbt.1583
    206 rdf:type schema:CreativeWork
    207 sg:pub.10.1038/nbt.1653 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050549966
    208 https://doi.org/10.1038/nbt.1653
    209 rdf:type schema:CreativeWork
    210 sg:pub.10.1038/nbt.2461 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050873149
    211 https://doi.org/10.1038/nbt.2461
    212 rdf:type schema:CreativeWork
    213 sg:pub.10.1038/nbt.2508 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019888616
    214 https://doi.org/10.1038/nbt.2508
    215 rdf:type schema:CreativeWork
    216 sg:pub.10.1038/nbt.2857 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025447294
    217 https://doi.org/10.1038/nbt.2857
    218 rdf:type schema:CreativeWork
    219 sg:pub.10.1038/nbt1083 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030303005
    220 https://doi.org/10.1038/nbt1083
    221 rdf:type schema:CreativeWork
    222 sg:pub.10.1038/nchembio.970 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025152074
    223 https://doi.org/10.1038/nchembio.970
    224 rdf:type schema:CreativeWork
    225 sg:pub.10.1038/nmeth.1251 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003153857
    226 https://doi.org/10.1038/nmeth.1251
    227 rdf:type schema:CreativeWork
    228 sg:pub.10.1038/nmeth.1419 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042265948
    229 https://doi.org/10.1038/nmeth.1419
    230 rdf:type schema:CreativeWork
    231 sg:pub.10.1038/nmeth.1971 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043926621
    232 https://doi.org/10.1038/nmeth.1971
    233 rdf:type schema:CreativeWork
    234 sg:pub.10.1038/nmeth.2918 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022164954
    235 https://doi.org/10.1038/nmeth.2918
    236 rdf:type schema:CreativeWork
    237 sg:pub.10.1038/nmeth896 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046539255
    238 https://doi.org/10.1038/nmeth896
    239 rdf:type schema:CreativeWork
    240 sg:pub.10.1038/nprot.2013.105 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019874975
    241 https://doi.org/10.1038/nprot.2013.105
    242 rdf:type schema:CreativeWork
    243 sg:pub.10.1038/nrg2452 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017234177
    244 https://doi.org/10.1038/nrg2452
    245 rdf:type schema:CreativeWork
    246 sg:pub.10.1038/nrg2626 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023911485
    247 https://doi.org/10.1038/nrg2626
    248 rdf:type schema:CreativeWork
    249 sg:pub.10.1038/nrg3564 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010661749
    250 https://doi.org/10.1038/nrg3564
    251 rdf:type schema:CreativeWork
    252 sg:pub.10.1038/nrg3746 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036830514
    253 https://doi.org/10.1038/nrg3746
    254 rdf:type schema:CreativeWork
    255 sg:pub.10.1038/nrm2805 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044846333
    256 https://doi.org/10.1038/nrm2805
    257 rdf:type schema:CreativeWork
    258 sg:pub.10.1186/1475-2859-10-18 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039195586
    259 https://doi.org/10.1186/1475-2859-10-18
    260 rdf:type schema:CreativeWork
    261 https://app.dimensions.ai/details/publication/pub.1078635978 schema:CreativeWork
    262 https://doi.org/10.1002/bit.20617 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051774451
    263 rdf:type schema:CreativeWork
    264 https://doi.org/10.1016/b978-0-12-385120-8.00018-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001605129
    265 rdf:type schema:CreativeWork
    266 https://doi.org/10.1016/j.jmb.2011.01.030 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045492942
    267 rdf:type schema:CreativeWork
    268 https://doi.org/10.1016/j.ymben.2012.10.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002784583
    269 rdf:type schema:CreativeWork
    270 https://doi.org/10.1016/s1389-1723(03)90130-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006089919
    271 rdf:type schema:CreativeWork
    272 https://doi.org/10.1038/msb.2010.33 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019183478
    273 rdf:type schema:CreativeWork
    274 https://doi.org/10.1073/pnas.0709089105 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039318416
    275 rdf:type schema:CreativeWork
    276 https://doi.org/10.1073/pnas.1000080107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019627885
    277 rdf:type schema:CreativeWork
    278 https://doi.org/10.1073/pnas.1206299109 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046945783
    279 rdf:type schema:CreativeWork
    280 https://doi.org/10.1073/pnas.1217958110 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028235039
    281 rdf:type schema:CreativeWork
    282 https://doi.org/10.1093/bioinformatics/bti716 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041164574
    283 rdf:type schema:CreativeWork
    284 https://doi.org/10.1093/nar/gki556 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052206564
    285 rdf:type schema:CreativeWork
    286 https://doi.org/10.1093/nar/gkp1116 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017642262
    287 rdf:type schema:CreativeWork
    288 https://doi.org/10.1093/nar/gkt915 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051074257
    289 rdf:type schema:CreativeWork
    290 https://doi.org/10.1101/gr.092759.109 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020163602
    291 rdf:type schema:CreativeWork
    292 https://doi.org/10.1126/science.1203801 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062464589
    293 rdf:type schema:CreativeWork
    294 https://doi.org/10.1371/journal.pone.0001279 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052160202
    295 rdf:type schema:CreativeWork
    296 https://doi.org/10.1371/journal.pone.0023126 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020994107
    297 rdf:type schema:CreativeWork
    298 https://doi.org/10.15252/msb.20134955 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032202316
    299 rdf:type schema:CreativeWork
    300 https://www.grid.ac/institutes/grid.147455.6 schema:alternateName Carnegie Mellon University
    301 schema:name Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.
    302 rdf:type schema:Organization
    303 https://www.grid.ac/institutes/grid.254549.b schema:alternateName Colorado School of Mines
    304 schema:name Department of Chemical and Biological Engineering, Colorado School of Mines, Golden, Colorado, USA.
    305 rdf:type schema:Organization
    306 https://www.grid.ac/institutes/grid.266190.a schema:alternateName University of Colorado Boulder
    307 schema:name Department of Chemical and Biological Engineering, University of Colorado Boulder, Boulder, Colorado, USA.
    308 rdf:type schema:Organization
     




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


    ...