Label-free, rapid and quantitative phenotyping of stress response in E. coli via ramanome View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-12

AUTHORS

Lin Teng, Xian Wang, Xiaojun Wang, Honglei Gou, Lihui Ren, Tingting Wang, Yun Wang, Yuetong Ji, Wei E. Huang, Jian Xu

ABSTRACT

Rapid profiling of stress-response at single-cell resolution yet in a label-free, non-disruptive and mechanism-specific manner can lead to many new applications. We propose a single-cell-level biochemical fingerprinting approach named "ramanome", which is the collection of Single-cell Raman Spectra (SCRS) from a number of cells randomly selected from an isogenic population at a given time and condition, to rapidly and quantitatively detect and characterize stress responses of cellular population. SCRS of Escherichia coli cells are sensitive to both exposure time (eight time points) and dosage (six doses) of ethanol, with detection time as early as 5 min and discrimination rate of either factor over 80%. Moreover, the ramanomes upon six chemical compounds from three categories, including antibiotics of ampicillin and kanamycin, alcohols of ethanol and n-butanol and heavy metals of Cu2+ and Cr6+, were analyzed and 31 marker Raman bands were revealed which distinguish stress-responses via cytotoxicity mechanism and variation of inter-cellular heterogeneity. Furthermore, specificity, reproducibility and mechanistic basis of ramanome were validated by tracking stress-induced dynamics of metabolites and by contrasting between cells with and without genes that convey stress resistance. Thus ramanome enables rapid prediction and mechanism-based screening of cytotoxicity and stress-response programs at single-cell resolution. More... »

PAGES

34359

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/srep34359

DOI

http://dx.doi.org/10.1038/srep34359

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1005724313

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/27756907


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": "Alcohols", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Anti-Bacterial Agents", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Escherichia coli", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Metals, Heavy", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Spectrum Analysis, Raman", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Stress, Physiological", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Chinese Academy of Sciences", 
          "id": "https://www.grid.ac/institutes/grid.410726.6", 
          "name": [
            "Single-Cell Center, CAS Key Laboratory of Biofuels and Shandong Key Laboratory of Energy Genetics, Qingdao Institute of BioEnergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, China", 
            "University of Chinese Academy of Sciences, Beijing 100049, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Teng", 
        "givenName": "Lin", 
        "id": "sg:person.01371232672.50", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01371232672.50"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Chinese Academy of Sciences", 
          "id": "https://www.grid.ac/institutes/grid.410726.6", 
          "name": [
            "Single-Cell Center, CAS Key Laboratory of Biofuels and Shandong Key Laboratory of Energy Genetics, Qingdao Institute of BioEnergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, China", 
            "University of Chinese Academy of Sciences, Beijing 100049, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wang", 
        "givenName": "Xian", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Chinese Academy of Sciences", 
          "id": "https://www.grid.ac/institutes/grid.410726.6", 
          "name": [
            "Single-Cell Center, CAS Key Laboratory of Biofuels and Shandong Key Laboratory of Energy Genetics, Qingdao Institute of BioEnergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, China", 
            "University of Chinese Academy of Sciences, Beijing 100049, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wang", 
        "givenName": "Xiaojun", 
        "id": "sg:person.014011747175.23", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014011747175.23"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Qingdao Institute of Bioenergy and Bioprocess Technology", 
          "id": "https://www.grid.ac/institutes/grid.458500.c", 
          "name": [
            "Single-Cell Center, CAS Key Laboratory of Biofuels and Shandong Key Laboratory of Energy Genetics, Qingdao Institute of BioEnergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gou", 
        "givenName": "Honglei", 
        "id": "sg:person.0722263234.70", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0722263234.70"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Qingdao Institute of Bioenergy and Bioprocess Technology", 
          "id": "https://www.grid.ac/institutes/grid.458500.c", 
          "name": [
            "Single-Cell Center, CAS Key Laboratory of Biofuels and Shandong Key Laboratory of Energy Genetics, Qingdao Institute of BioEnergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ren", 
        "givenName": "Lihui", 
        "id": "sg:person.0626002702.15", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0626002702.15"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Qingdao Institute of Bioenergy and Bioprocess Technology", 
          "id": "https://www.grid.ac/institutes/grid.458500.c", 
          "name": [
            "Single-Cell Center, CAS Key Laboratory of Biofuels and Shandong Key Laboratory of Energy Genetics, Qingdao Institute of BioEnergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wang", 
        "givenName": "Tingting", 
        "id": "sg:person.01131627765.27", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01131627765.27"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Qingdao Institute of Bioenergy and Bioprocess Technology", 
          "id": "https://www.grid.ac/institutes/grid.458500.c", 
          "name": [
            "Single-Cell Center, CAS Key Laboratory of Biofuels and Shandong Key Laboratory of Energy Genetics, Qingdao Institute of BioEnergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wang", 
        "givenName": "Yun", 
        "id": "sg:person.0606104076.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0606104076.44"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Qingdao Institute of Bioenergy and Bioprocess Technology", 
          "id": "https://www.grid.ac/institutes/grid.458500.c", 
          "name": [
            "Single-Cell Center, CAS Key Laboratory of Biofuels and Shandong Key Laboratory of Energy Genetics, Qingdao Institute of BioEnergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ji", 
        "givenName": "Yuetong", 
        "id": "sg:person.0742050462.53", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0742050462.53"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Oxford", 
          "id": "https://www.grid.ac/institutes/grid.4991.5", 
          "name": [
            "Department of Engineering, University of Oxford, Oxford, Parks Road, OX1 3PJ, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Huang", 
        "givenName": "Wei E.", 
        "id": "sg:person.011643105400.46", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011643105400.46"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Qingdao Institute of Bioenergy and Bioprocess Technology", 
          "id": "https://www.grid.ac/institutes/grid.458500.c", 
          "name": [
            "Single-Cell Center, CAS Key Laboratory of Biofuels and Shandong Key Laboratory of Energy Genetics, Qingdao Institute of BioEnergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Xu", 
        "givenName": "Jian", 
        "id": "sg:person.01320335040.67", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01320335040.67"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1128/aac.48.8.3213.2004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001254641"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1009043108", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001967538"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jb.01590-14", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002510596"
        ], 
        "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": "https://doi.org/10.1021/pr400640u", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003579735"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nchembio.436", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003940702", 
          "https://doi.org/10.1038/nchembio.436"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/aem.00694-11", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004514943"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1754-6834-7-58", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010497314", 
          "https://doi.org/10.1186/1754-6834-7-58"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3389/fmicb.2015.00103", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013440755"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00216-011-4819-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015021838", 
          "https://doi.org/10.1007/s00216-011-4819-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pgen.1000053", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016275263"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2164-11-311", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016582190", 
          "https://doi.org/10.1186/1471-2164-11-311"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/aac.48.3.890-896.2004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018079032"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cell.2007.06.049", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021664271"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/gr.110882.110", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024095958"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.copbio.2012.09.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024578568"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cyto.a.20682", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025395776"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/aem.03050-09", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027061094"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac403107p", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029454775"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jb.187.24.8437-8449.2005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030998374"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac049753k", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032167069"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac049753k", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032167069"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c5an01074h", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033012288"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1209302110", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034433666"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.addr.2015.06.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036062489"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.addr.2015.06.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036062489"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.addr.2015.06.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036062489"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.addr.2015.06.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036062489"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/05704920701551530", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038188385"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jrs.2261", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039241400"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jrs.2261", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039241400"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0110215", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040220049"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cell.2008.09.038", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041251573"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.mimet.2004.10.016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041372739"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0169-7439(01)00155-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041387192"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biortech.2009.11.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042116056"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/biot.201400165", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042317599"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0065-2164(10)70005-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043295400"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2958.2005.04532.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045587485"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1213060110", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045803749"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.addr.2015.04.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050177021"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1258367", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050431392"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/aem.07068-11", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050485957"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.copbio.2011.11.019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052396493"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2164-11-579", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052642882", 
          "https://doi.org/10.1186/1471-2164-11-579"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/aac.02098-13", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053688705"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac048359j", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054996071"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac048359j", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054996071"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac302250t", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055003366"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac4040218", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055005286"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac503974e", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055019938"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac902351a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055071928"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac902351a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055071928"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/scitranslmed.3009650", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062688471"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2016-12", 
    "datePublishedReg": "2016-12-01", 
    "description": "Rapid profiling of stress-response at single-cell resolution yet in a label-free, non-disruptive and mechanism-specific manner can lead to many new applications. We propose a single-cell-level biochemical fingerprinting approach named \"ramanome\", which is the collection of Single-cell Raman Spectra (SCRS) from a number of cells randomly selected from an isogenic population at a given time and condition, to rapidly and quantitatively detect and characterize stress responses of cellular population. SCRS of Escherichia coli cells are sensitive to both exposure time (eight time points) and dosage (six doses) of ethanol, with detection time as early as 5\u2009min and discrimination rate of either factor over 80%. Moreover, the ramanomes upon six chemical compounds from three categories, including antibiotics of ampicillin and kanamycin, alcohols of ethanol and n-butanol and heavy metals of Cu2+ and Cr6+, were analyzed and 31 marker Raman bands were revealed which distinguish stress-responses via cytotoxicity mechanism and variation of inter-cellular heterogeneity. Furthermore, specificity, reproducibility and mechanistic basis of ramanome were validated by tracking stress-induced dynamics of metabolites and by contrasting between cells with and without genes that convey stress resistance. Thus ramanome enables rapid prediction and mechanism-based screening of cytotoxicity and stress-response programs at single-cell resolution.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/srep34359", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.3862436", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2761253", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.4575459", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.3958961", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.3956823", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.3959198", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.7200559", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1045337", 
        "issn": [
          "2045-2322"
        ], 
        "name": "Scientific Reports", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "6"
      }
    ], 
    "name": "Label-free, rapid and quantitative phenotyping of stress response in E. coli via ramanome", 
    "pagination": "34359", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "1b4609a6440c20fec684e539684fbea3d96b7776f81b363d8a83d2771e0f7cdd"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "27756907"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101563288"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/srep34359"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1005724313"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/srep34359", 
      "https://app.dimensions.ai/details/publication/pub.1005724313"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T01:14", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8697_00000549.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://www.nature.com/articles/srep34359"
  }
]
 

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/srep34359'

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/srep34359'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/srep34359'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/srep34359'


 

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

321 TRIPLES      21 PREDICATES      82 URIs      27 LITERALS      15 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/srep34359 schema:about N16ea1e2761b04bdf8f69e0dd16bf66f3
2 N270bec59d4d8453b96a1951cbf0f10cd
3 N4e39d5c093944e7e9f34582b9063464f
4 N617b70a321fe4d53ba718072e085fcf1
5 Nfcd1dbab18f34d76995058a83cee3219
6 Nff4c0667cf3b4ea3826425c347522b84
7 anzsrc-for:06
8 anzsrc-for:0601
9 schema:author Na5d243f3c17444a4aa4542f682094097
10 schema:citation sg:pub.10.1007/s00216-011-4819-4
11 sg:pub.10.1038/nchembio.436
12 sg:pub.10.1186/1471-2164-11-311
13 sg:pub.10.1186/1471-2164-11-579
14 sg:pub.10.1186/1754-6834-7-58
15 https://doi.org/10.1002/biot.201400165
16 https://doi.org/10.1002/cyto.a.20682
17 https://doi.org/10.1002/jrs.2261
18 https://doi.org/10.1016/j.addr.2015.04.006
19 https://doi.org/10.1016/j.addr.2015.06.011
20 https://doi.org/10.1016/j.biortech.2009.11.008
21 https://doi.org/10.1016/j.cell.2007.06.049
22 https://doi.org/10.1016/j.cell.2008.09.038
23 https://doi.org/10.1016/j.copbio.2011.11.019
24 https://doi.org/10.1016/j.copbio.2012.09.002
25 https://doi.org/10.1016/j.mimet.2004.10.016
26 https://doi.org/10.1016/j.ymben.2012.10.007
27 https://doi.org/10.1016/s0065-2164(10)70005-8
28 https://doi.org/10.1016/s0169-7439(01)00155-1
29 https://doi.org/10.1021/ac048359j
30 https://doi.org/10.1021/ac049753k
31 https://doi.org/10.1021/ac302250t
32 https://doi.org/10.1021/ac403107p
33 https://doi.org/10.1021/ac4040218
34 https://doi.org/10.1021/ac503974e
35 https://doi.org/10.1021/ac902351a
36 https://doi.org/10.1021/pr400640u
37 https://doi.org/10.1039/c5an01074h
38 https://doi.org/10.1073/pnas.1009043108
39 https://doi.org/10.1073/pnas.1209302110
40 https://doi.org/10.1073/pnas.1213060110
41 https://doi.org/10.1080/05704920701551530
42 https://doi.org/10.1101/gr.110882.110
43 https://doi.org/10.1111/j.1365-2958.2005.04532.x
44 https://doi.org/10.1126/science.1258367
45 https://doi.org/10.1126/scitranslmed.3009650
46 https://doi.org/10.1128/aac.02098-13
47 https://doi.org/10.1128/aac.48.3.890-896.2004
48 https://doi.org/10.1128/aac.48.8.3213.2004
49 https://doi.org/10.1128/aem.00694-11
50 https://doi.org/10.1128/aem.03050-09
51 https://doi.org/10.1128/aem.07068-11
52 https://doi.org/10.1128/jb.01590-14
53 https://doi.org/10.1128/jb.187.24.8437-8449.2005
54 https://doi.org/10.1371/journal.pgen.1000053
55 https://doi.org/10.1371/journal.pone.0110215
56 https://doi.org/10.3389/fmicb.2015.00103
57 schema:datePublished 2016-12
58 schema:datePublishedReg 2016-12-01
59 schema:description Rapid profiling of stress-response at single-cell resolution yet in a label-free, non-disruptive and mechanism-specific manner can lead to many new applications. We propose a single-cell-level biochemical fingerprinting approach named "ramanome", which is the collection of Single-cell Raman Spectra (SCRS) from a number of cells randomly selected from an isogenic population at a given time and condition, to rapidly and quantitatively detect and characterize stress responses of cellular population. SCRS of Escherichia coli cells are sensitive to both exposure time (eight time points) and dosage (six doses) of ethanol, with detection time as early as 5 min and discrimination rate of either factor over 80%. Moreover, the ramanomes upon six chemical compounds from three categories, including antibiotics of ampicillin and kanamycin, alcohols of ethanol and n-butanol and heavy metals of Cu<sup>2+</sup> and Cr<sup>6+</sup>, were analyzed and 31 marker Raman bands were revealed which distinguish stress-responses via cytotoxicity mechanism and variation of inter-cellular heterogeneity. Furthermore, specificity, reproducibility and mechanistic basis of ramanome were validated by tracking stress-induced dynamics of metabolites and by contrasting between cells with and without genes that convey stress resistance. Thus ramanome enables rapid prediction and mechanism-based screening of cytotoxicity and stress-response programs at single-cell resolution.
60 schema:genre research_article
61 schema:inLanguage en
62 schema:isAccessibleForFree true
63 schema:isPartOf N110d99b8118a427fa71a3af42e9641e9
64 Nea648c30730047b49d90f91cca8ed89a
65 sg:journal.1045337
66 schema:name Label-free, rapid and quantitative phenotyping of stress response in E. coli via ramanome
67 schema:pagination 34359
68 schema:productId N4eee4139083c4656a302055f42b4a52c
69 Na3f5cef2f6dd4ad9a1c6466159bf4c5f
70 Ne1202b2a8e1b4665bc14644d36fdc8b6
71 Ne61d0125b8c144fdb028f0af59576fa3
72 Nfa05ae5c2fed4157925e1485090e3302
73 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005724313
74 https://doi.org/10.1038/srep34359
75 schema:sdDatePublished 2019-04-11T01:14
76 schema:sdLicense https://scigraph.springernature.com/explorer/license/
77 schema:sdPublisher Ne46266b95ed54dc29e98c5301bfbac1c
78 schema:url http://www.nature.com/articles/srep34359
79 sgo:license sg:explorer/license/
80 sgo:sdDataset articles
81 rdf:type schema:ScholarlyArticle
82 N110d99b8118a427fa71a3af42e9641e9 schema:volumeNumber 6
83 rdf:type schema:PublicationVolume
84 N15f784eba96f40b8b7830003c075e4ca rdf:first sg:person.0606104076.44
85 rdf:rest Na67f89580f35493b9a8924ef48d31fd0
86 N16ea1e2761b04bdf8f69e0dd16bf66f3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
87 schema:name Escherichia coli
88 rdf:type schema:DefinedTerm
89 N19a130eecd7a4053b21dec5a61adb480 rdf:first sg:person.014011747175.23
90 rdf:rest N29a16779d72f4d499c1d0099472b45dc
91 N270bec59d4d8453b96a1951cbf0f10cd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
92 schema:name Stress, Physiological
93 rdf:type schema:DefinedTerm
94 N29a16779d72f4d499c1d0099472b45dc rdf:first sg:person.0722263234.70
95 rdf:rest Ne9bec259a8304943ba0b1dc1277dcd12
96 N344bf00e1190475eac528ea58c828ad1 rdf:first sg:person.01131627765.27
97 rdf:rest N15f784eba96f40b8b7830003c075e4ca
98 N3bbca156ac4d42659eb4431eb020baad rdf:first sg:person.011643105400.46
99 rdf:rest N4d05a874a56e4ce1a12cda04e2d946c6
100 N4d05a874a56e4ce1a12cda04e2d946c6 rdf:first sg:person.01320335040.67
101 rdf:rest rdf:nil
102 N4e39d5c093944e7e9f34582b9063464f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
103 schema:name Spectrum Analysis, Raman
104 rdf:type schema:DefinedTerm
105 N4eee4139083c4656a302055f42b4a52c schema:name nlm_unique_id
106 schema:value 101563288
107 rdf:type schema:PropertyValue
108 N617b70a321fe4d53ba718072e085fcf1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
109 schema:name Alcohols
110 rdf:type schema:DefinedTerm
111 Na0c17776d8eb46028f037a8a0eae38fc schema:affiliation https://www.grid.ac/institutes/grid.410726.6
112 schema:familyName Wang
113 schema:givenName Xian
114 rdf:type schema:Person
115 Na3f5cef2f6dd4ad9a1c6466159bf4c5f schema:name dimensions_id
116 schema:value pub.1005724313
117 rdf:type schema:PropertyValue
118 Na5d243f3c17444a4aa4542f682094097 rdf:first sg:person.01371232672.50
119 rdf:rest Ndd7c40f6815a473b8ebd3f76ab7318e0
120 Na67f89580f35493b9a8924ef48d31fd0 rdf:first sg:person.0742050462.53
121 rdf:rest N3bbca156ac4d42659eb4431eb020baad
122 Ndd7c40f6815a473b8ebd3f76ab7318e0 rdf:first Na0c17776d8eb46028f037a8a0eae38fc
123 rdf:rest N19a130eecd7a4053b21dec5a61adb480
124 Ne1202b2a8e1b4665bc14644d36fdc8b6 schema:name readcube_id
125 schema:value 1b4609a6440c20fec684e539684fbea3d96b7776f81b363d8a83d2771e0f7cdd
126 rdf:type schema:PropertyValue
127 Ne46266b95ed54dc29e98c5301bfbac1c schema:name Springer Nature - SN SciGraph project
128 rdf:type schema:Organization
129 Ne61d0125b8c144fdb028f0af59576fa3 schema:name doi
130 schema:value 10.1038/srep34359
131 rdf:type schema:PropertyValue
132 Ne9bec259a8304943ba0b1dc1277dcd12 rdf:first sg:person.0626002702.15
133 rdf:rest N344bf00e1190475eac528ea58c828ad1
134 Nea648c30730047b49d90f91cca8ed89a schema:issueNumber 1
135 rdf:type schema:PublicationIssue
136 Nfa05ae5c2fed4157925e1485090e3302 schema:name pubmed_id
137 schema:value 27756907
138 rdf:type schema:PropertyValue
139 Nfcd1dbab18f34d76995058a83cee3219 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
140 schema:name Metals, Heavy
141 rdf:type schema:DefinedTerm
142 Nff4c0667cf3b4ea3826425c347522b84 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
143 schema:name Anti-Bacterial Agents
144 rdf:type schema:DefinedTerm
145 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
146 schema:name Biological Sciences
147 rdf:type schema:DefinedTerm
148 anzsrc-for:0601 schema:inDefinedTermSet anzsrc-for:
149 schema:name Biochemistry and Cell Biology
150 rdf:type schema:DefinedTerm
151 sg:grant.2761253 http://pending.schema.org/fundedItem sg:pub.10.1038/srep34359
152 rdf:type schema:MonetaryGrant
153 sg:grant.3862436 http://pending.schema.org/fundedItem sg:pub.10.1038/srep34359
154 rdf:type schema:MonetaryGrant
155 sg:grant.3956823 http://pending.schema.org/fundedItem sg:pub.10.1038/srep34359
156 rdf:type schema:MonetaryGrant
157 sg:grant.3958961 http://pending.schema.org/fundedItem sg:pub.10.1038/srep34359
158 rdf:type schema:MonetaryGrant
159 sg:grant.3959198 http://pending.schema.org/fundedItem sg:pub.10.1038/srep34359
160 rdf:type schema:MonetaryGrant
161 sg:grant.4575459 http://pending.schema.org/fundedItem sg:pub.10.1038/srep34359
162 rdf:type schema:MonetaryGrant
163 sg:grant.7200559 http://pending.schema.org/fundedItem sg:pub.10.1038/srep34359
164 rdf:type schema:MonetaryGrant
165 sg:journal.1045337 schema:issn 2045-2322
166 schema:name Scientific Reports
167 rdf:type schema:Periodical
168 sg:person.01131627765.27 schema:affiliation https://www.grid.ac/institutes/grid.458500.c
169 schema:familyName Wang
170 schema:givenName Tingting
171 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01131627765.27
172 rdf:type schema:Person
173 sg:person.011643105400.46 schema:affiliation https://www.grid.ac/institutes/grid.4991.5
174 schema:familyName Huang
175 schema:givenName Wei E.
176 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011643105400.46
177 rdf:type schema:Person
178 sg:person.01320335040.67 schema:affiliation https://www.grid.ac/institutes/grid.458500.c
179 schema:familyName Xu
180 schema:givenName Jian
181 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01320335040.67
182 rdf:type schema:Person
183 sg:person.01371232672.50 schema:affiliation https://www.grid.ac/institutes/grid.410726.6
184 schema:familyName Teng
185 schema:givenName Lin
186 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01371232672.50
187 rdf:type schema:Person
188 sg:person.014011747175.23 schema:affiliation https://www.grid.ac/institutes/grid.410726.6
189 schema:familyName Wang
190 schema:givenName Xiaojun
191 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014011747175.23
192 rdf:type schema:Person
193 sg:person.0606104076.44 schema:affiliation https://www.grid.ac/institutes/grid.458500.c
194 schema:familyName Wang
195 schema:givenName Yun
196 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0606104076.44
197 rdf:type schema:Person
198 sg:person.0626002702.15 schema:affiliation https://www.grid.ac/institutes/grid.458500.c
199 schema:familyName Ren
200 schema:givenName Lihui
201 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0626002702.15
202 rdf:type schema:Person
203 sg:person.0722263234.70 schema:affiliation https://www.grid.ac/institutes/grid.458500.c
204 schema:familyName Gou
205 schema:givenName Honglei
206 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0722263234.70
207 rdf:type schema:Person
208 sg:person.0742050462.53 schema:affiliation https://www.grid.ac/institutes/grid.458500.c
209 schema:familyName Ji
210 schema:givenName Yuetong
211 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0742050462.53
212 rdf:type schema:Person
213 sg:pub.10.1007/s00216-011-4819-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015021838
214 https://doi.org/10.1007/s00216-011-4819-4
215 rdf:type schema:CreativeWork
216 sg:pub.10.1038/nchembio.436 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003940702
217 https://doi.org/10.1038/nchembio.436
218 rdf:type schema:CreativeWork
219 sg:pub.10.1186/1471-2164-11-311 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016582190
220 https://doi.org/10.1186/1471-2164-11-311
221 rdf:type schema:CreativeWork
222 sg:pub.10.1186/1471-2164-11-579 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052642882
223 https://doi.org/10.1186/1471-2164-11-579
224 rdf:type schema:CreativeWork
225 sg:pub.10.1186/1754-6834-7-58 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010497314
226 https://doi.org/10.1186/1754-6834-7-58
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1002/biot.201400165 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042317599
229 rdf:type schema:CreativeWork
230 https://doi.org/10.1002/cyto.a.20682 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025395776
231 rdf:type schema:CreativeWork
232 https://doi.org/10.1002/jrs.2261 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039241400
233 rdf:type schema:CreativeWork
234 https://doi.org/10.1016/j.addr.2015.04.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050177021
235 rdf:type schema:CreativeWork
236 https://doi.org/10.1016/j.addr.2015.06.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036062489
237 rdf:type schema:CreativeWork
238 https://doi.org/10.1016/j.biortech.2009.11.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042116056
239 rdf:type schema:CreativeWork
240 https://doi.org/10.1016/j.cell.2007.06.049 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021664271
241 rdf:type schema:CreativeWork
242 https://doi.org/10.1016/j.cell.2008.09.038 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041251573
243 rdf:type schema:CreativeWork
244 https://doi.org/10.1016/j.copbio.2011.11.019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052396493
245 rdf:type schema:CreativeWork
246 https://doi.org/10.1016/j.copbio.2012.09.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024578568
247 rdf:type schema:CreativeWork
248 https://doi.org/10.1016/j.mimet.2004.10.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041372739
249 rdf:type schema:CreativeWork
250 https://doi.org/10.1016/j.ymben.2012.10.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002784583
251 rdf:type schema:CreativeWork
252 https://doi.org/10.1016/s0065-2164(10)70005-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043295400
253 rdf:type schema:CreativeWork
254 https://doi.org/10.1016/s0169-7439(01)00155-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041387192
255 rdf:type schema:CreativeWork
256 https://doi.org/10.1021/ac048359j schema:sameAs https://app.dimensions.ai/details/publication/pub.1054996071
257 rdf:type schema:CreativeWork
258 https://doi.org/10.1021/ac049753k schema:sameAs https://app.dimensions.ai/details/publication/pub.1032167069
259 rdf:type schema:CreativeWork
260 https://doi.org/10.1021/ac302250t schema:sameAs https://app.dimensions.ai/details/publication/pub.1055003366
261 rdf:type schema:CreativeWork
262 https://doi.org/10.1021/ac403107p schema:sameAs https://app.dimensions.ai/details/publication/pub.1029454775
263 rdf:type schema:CreativeWork
264 https://doi.org/10.1021/ac4040218 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055005286
265 rdf:type schema:CreativeWork
266 https://doi.org/10.1021/ac503974e schema:sameAs https://app.dimensions.ai/details/publication/pub.1055019938
267 rdf:type schema:CreativeWork
268 https://doi.org/10.1021/ac902351a schema:sameAs https://app.dimensions.ai/details/publication/pub.1055071928
269 rdf:type schema:CreativeWork
270 https://doi.org/10.1021/pr400640u schema:sameAs https://app.dimensions.ai/details/publication/pub.1003579735
271 rdf:type schema:CreativeWork
272 https://doi.org/10.1039/c5an01074h schema:sameAs https://app.dimensions.ai/details/publication/pub.1033012288
273 rdf:type schema:CreativeWork
274 https://doi.org/10.1073/pnas.1009043108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001967538
275 rdf:type schema:CreativeWork
276 https://doi.org/10.1073/pnas.1209302110 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034433666
277 rdf:type schema:CreativeWork
278 https://doi.org/10.1073/pnas.1213060110 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045803749
279 rdf:type schema:CreativeWork
280 https://doi.org/10.1080/05704920701551530 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038188385
281 rdf:type schema:CreativeWork
282 https://doi.org/10.1101/gr.110882.110 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024095958
283 rdf:type schema:CreativeWork
284 https://doi.org/10.1111/j.1365-2958.2005.04532.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1045587485
285 rdf:type schema:CreativeWork
286 https://doi.org/10.1126/science.1258367 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050431392
287 rdf:type schema:CreativeWork
288 https://doi.org/10.1126/scitranslmed.3009650 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062688471
289 rdf:type schema:CreativeWork
290 https://doi.org/10.1128/aac.02098-13 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053688705
291 rdf:type schema:CreativeWork
292 https://doi.org/10.1128/aac.48.3.890-896.2004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018079032
293 rdf:type schema:CreativeWork
294 https://doi.org/10.1128/aac.48.8.3213.2004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001254641
295 rdf:type schema:CreativeWork
296 https://doi.org/10.1128/aem.00694-11 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004514943
297 rdf:type schema:CreativeWork
298 https://doi.org/10.1128/aem.03050-09 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027061094
299 rdf:type schema:CreativeWork
300 https://doi.org/10.1128/aem.07068-11 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050485957
301 rdf:type schema:CreativeWork
302 https://doi.org/10.1128/jb.01590-14 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002510596
303 rdf:type schema:CreativeWork
304 https://doi.org/10.1128/jb.187.24.8437-8449.2005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030998374
305 rdf:type schema:CreativeWork
306 https://doi.org/10.1371/journal.pgen.1000053 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016275263
307 rdf:type schema:CreativeWork
308 https://doi.org/10.1371/journal.pone.0110215 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040220049
309 rdf:type schema:CreativeWork
310 https://doi.org/10.3389/fmicb.2015.00103 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013440755
311 rdf:type schema:CreativeWork
312 https://www.grid.ac/institutes/grid.410726.6 schema:alternateName University of Chinese Academy of Sciences
313 schema:name Single-Cell Center, CAS Key Laboratory of Biofuels and Shandong Key Laboratory of Energy Genetics, Qingdao Institute of BioEnergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, China
314 University of Chinese Academy of Sciences, Beijing 100049, China
315 rdf:type schema:Organization
316 https://www.grid.ac/institutes/grid.458500.c schema:alternateName Qingdao Institute of Bioenergy and Bioprocess Technology
317 schema:name Single-Cell Center, CAS Key Laboratory of Biofuels and Shandong Key Laboratory of Energy Genetics, Qingdao Institute of BioEnergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, China
318 rdf:type schema:Organization
319 https://www.grid.ac/institutes/grid.4991.5 schema:alternateName University of Oxford
320 schema:name Department of Engineering, University of Oxford, Oxford, Parks Road, OX1 3PJ, UK
321 rdf:type schema:Organization
 




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


...