Fingerprinting Breast Cancer vs. Normal Mammary Cells by Mass Spectrometric Analysis of Volatiles View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2015-05

AUTHORS

Jingjing He, Pablo Martinez-Lozano Sinues, Maija Hollmén, Xue Li, Michael Detmar, Renato Zenobi

ABSTRACT

There is increasing interest in the development of noninvasive diagnostic methods for early cancer detection, to improve the survival rate and quality of life of cancer patients. Identification of volatile metabolic compounds may provide an approach for noninvasive early diagnosis of malignant diseases. Here we analyzed the volatile metabolic signature of human breast cancer cell lines versus normal human mammary cells. Volatile compounds in the headspace of conditioned culture medium were directly fingerprinted by secondary electrospray ionization-mass spectrometry. The mass spectra were subsequently treated statistically to identify discriminating features between normal vs. cancerous cell types. We were able to classify different samples by using feature selection followed by principal component analysis (PCA). Additionally, high-resolution mass spectrometry allowed us to propose their chemical structures for some of the most discriminating molecules. We conclude that cancerous cells can release a characteristic odor whose constituents may be used as disease markers. More... »

PAGES

5196

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/srep05196

DOI

http://dx.doi.org/10.1038/srep05196

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1040086180

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/24903350


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/2008/1112", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Oncology and Carcinogenesis", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Breast", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Breast Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cells, Cultured", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Principal Component Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Spectrometry, Mass, Electrospray Ionization", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Volatile Organic Compounds", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Swiss Federal Institute of Technology in Zurich", 
          "id": "https://www.grid.ac/institutes/grid.5801.c", 
          "name": [
            "State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100050, P.R. China", 
            "ETH Zurich, Department of Chemistry and Applied Biosciences, CH-8093 Zurich, Switzerland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "He", 
        "givenName": "Jingjing", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Swiss Federal Institute of Technology in Zurich", 
          "id": "https://www.grid.ac/institutes/grid.5801.c", 
          "name": [
            "ETH Zurich, Department of Chemistry and Applied Biosciences, CH-8093 Zurich, Switzerland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sinues", 
        "givenName": "Pablo Martinez-Lozano", 
        "id": "sg:person.0714567756.65", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0714567756.65"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Swiss Federal Institute of Technology in Zurich", 
          "id": "https://www.grid.ac/institutes/grid.5801.c", 
          "name": [
            "ETH Zurich, Institute of Pharmaceutical Sciences, CH-8093 Zurich, Switzerland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hollm\u00e9n", 
        "givenName": "Maija", 
        "id": "sg:person.01334360062.95", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01334360062.95"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Swiss Federal Institute of Technology in Zurich", 
          "id": "https://www.grid.ac/institutes/grid.5801.c", 
          "name": [
            "ETH Zurich, Department of Chemistry and Applied Biosciences, CH-8093 Zurich, Switzerland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Li", 
        "givenName": "Xue", 
        "id": "sg:person.0610753762.93", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0610753762.93"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Swiss Federal Institute of Technology in Zurich", 
          "id": "https://www.grid.ac/institutes/grid.5801.c", 
          "name": [
            "ETH Zurich, Institute of Pharmaceutical Sciences, CH-8093 Zurich, Switzerland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Detmar", 
        "givenName": "Michael", 
        "id": "sg:person.01365006771.39", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01365006771.39"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Swiss Federal Institute of Technology in Zurich", 
          "id": "https://www.grid.ac/institutes/grid.5801.c", 
          "name": [
            "ETH Zurich, Department of Chemistry and Applied Biosciences, CH-8093 Zurich, Switzerland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zenobi", 
        "givenName": "Renato", 
        "id": "sg:person.01140470631.51", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01140470631.51"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1016/j.jasms.2008.10.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002445262", 
          "https://doi.org/10.1016/j.jasms.2008.10.006"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/0008-5472.can-10-1319", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003003427"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3791/2664", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003622428"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2091-8-25", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004362062", 
          "https://doi.org/10.1186/1471-2091-8-25"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/med.21293", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004391040"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1378/chest.13-1106", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005280257"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biocel.2010.05.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005728312"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jcm.00392-10", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008518667"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s13361-012-0369-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008985976", 
          "https://doi.org/10.1007/s13361-012-0369-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/1752-7155/5/1/016002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009466529"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11306-013-0568-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011426015", 
          "https://doi.org/10.1007/s11306-013-0568-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/gm336", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011949674", 
          "https://doi.org/10.1186/gm336"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/cr300174a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014419423"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(01)06065-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015602288"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijms.2010.09.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018720407"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0891-5849(01)00480-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018930552"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5402/2012/137289", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020332523"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(89)92257-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020501615"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijms.2011.12.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022695189"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3322/caac.20006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022825825"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/bbrc.1994.2218", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022902610"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrc1390", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026152303", 
          "https://doi.org/10.1038/nrc1390"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrc1390", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026152303", 
          "https://doi.org/10.1038/nrc1390"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/1752-7155/7/3/037106", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026319660"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/1055-9965.epi-09-0162", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026372632"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijms.2007.05.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027749780"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/mcs.1220060511", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027918024"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/mcs.1220060511", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027918024"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0004-3702(97)00043-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031014012"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/rcm.984", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033404616"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1749-6632.2010.05551.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035622477"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1749-6632.2010.05551.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035622477"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/1752-7155/7/1/016003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036567698"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ijc.20651", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037818979"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1016/j.jasms.2009.01.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038284009", 
          "https://doi.org/10.1016/j.jasms.2009.01.012"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/1534735405285096", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038507090"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/1534735405285096", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038507090"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/b918899a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039784078"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/b918899a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039784078"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.aca.2012.10.018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040629480"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1152/japplphysiol.00099.2013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041955133"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.gene.2004.04.032", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043587272"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cmet.2013.05.017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049833315"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1159/000357785", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049903546"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0059909", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052675460"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijms.2009.02.017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053146763"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac3005378", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055002751"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac3029097", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055003629"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac801185e", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055070249"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac801185e", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055070249"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac9027593", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055072087"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac9027593", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055072087"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac9907235", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055077189"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac9907235", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055077189"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1089/omi.2009.0082", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059303775"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1076844003", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2015-05", 
    "datePublishedReg": "2015-05-01", 
    "description": "There is increasing interest in the development of noninvasive diagnostic methods for early cancer detection, to improve the survival rate and quality of life of cancer patients. Identification of volatile metabolic compounds may provide an approach for noninvasive early diagnosis of malignant diseases. Here we analyzed the volatile metabolic signature of human breast cancer cell lines versus normal human mammary cells. Volatile compounds in the headspace of conditioned culture medium were directly fingerprinted by secondary electrospray ionization-mass spectrometry. The mass spectra were subsequently treated statistically to identify discriminating features between normal vs. cancerous cell types. We were able to classify different samples by using feature selection followed by principal component analysis (PCA). Additionally, high-resolution mass spectrometry allowed us to propose their chemical structures for some of the most discriminating molecules. We conclude that cancerous cells can release a characteristic odor whose constituents may be used as disease markers. ", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/srep05196", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.3787109", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1045337", 
        "issn": [
          "2045-2322"
        ], 
        "name": "Scientific Reports", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "4"
      }
    ], 
    "name": "Fingerprinting Breast Cancer vs. Normal Mammary Cells by Mass Spectrometric Analysis of Volatiles", 
    "pagination": "5196", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "bef4a2ba723c3532d0a3b5d6f9ca50edc21a3b7c579f25cfa4818bc9d5429db7"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "24903350"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101563288"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/srep05196"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1040086180"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/srep05196", 
      "https://app.dimensions.ai/details/publication/pub.1040086180"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T21:25", 
    "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_8687_00000425.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://www.nature.com/srep/2014/140606/srep05196/full/srep05196.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/srep05196'

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/srep05196'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/srep05196'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/srep05196'


 

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

288 TRIPLES      21 PREDICATES      85 URIs      29 LITERALS      17 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/srep05196 schema:about N0797545cbb474bcd8168912e7bf0e3aa
2 N37578206f25a42c59552032966e5a174
3 N6cdb7ac4c64c4ed6a3c72b89a0b0cc5c
4 N92a7b2ee5c0a49f4b05ca0c41bd01bc7
5 Na52627665bc5443c9bb7746eba6a5b58
6 Nba6af1600ab440f3ba5a06f1f8817f63
7 Nc517a4eb28984f6da81e0622ceb1665c
8 Ne809c9a64dd54559b2e89e8cbb56da20
9 anzsrc-for:11
10 anzsrc-for:1112
11 schema:author N49dc0f4a8bd84331b19e4d47247827a8
12 schema:citation sg:pub.10.1007/s11306-013-0568-z
13 sg:pub.10.1007/s13361-012-0369-z
14 sg:pub.10.1016/j.jasms.2008.10.006
15 sg:pub.10.1016/j.jasms.2009.01.012
16 sg:pub.10.1038/nrc1390
17 sg:pub.10.1186/1471-2091-8-25
18 sg:pub.10.1186/gm336
19 https://app.dimensions.ai/details/publication/pub.1076844003
20 https://doi.org/10.1002/ijc.20651
21 https://doi.org/10.1002/mcs.1220060511
22 https://doi.org/10.1002/med.21293
23 https://doi.org/10.1002/rcm.984
24 https://doi.org/10.1006/bbrc.1994.2218
25 https://doi.org/10.1016/j.aca.2012.10.018
26 https://doi.org/10.1016/j.biocel.2010.05.001
27 https://doi.org/10.1016/j.cmet.2013.05.017
28 https://doi.org/10.1016/j.gene.2004.04.032
29 https://doi.org/10.1016/j.ijms.2007.05.008
30 https://doi.org/10.1016/j.ijms.2009.02.017
31 https://doi.org/10.1016/j.ijms.2010.09.009
32 https://doi.org/10.1016/j.ijms.2011.12.010
33 https://doi.org/10.1016/s0004-3702(97)00043-x
34 https://doi.org/10.1016/s0140-6736(01)06065-2
35 https://doi.org/10.1016/s0140-6736(89)92257-5
36 https://doi.org/10.1016/s0891-5849(01)00480-4
37 https://doi.org/10.1021/ac3005378
38 https://doi.org/10.1021/ac3029097
39 https://doi.org/10.1021/ac801185e
40 https://doi.org/10.1021/ac9027593
41 https://doi.org/10.1021/ac9907235
42 https://doi.org/10.1021/cr300174a
43 https://doi.org/10.1039/b918899a
44 https://doi.org/10.1088/1752-7155/5/1/016002
45 https://doi.org/10.1088/1752-7155/7/1/016003
46 https://doi.org/10.1088/1752-7155/7/3/037106
47 https://doi.org/10.1089/omi.2009.0082
48 https://doi.org/10.1111/j.1749-6632.2010.05551.x
49 https://doi.org/10.1128/jcm.00392-10
50 https://doi.org/10.1152/japplphysiol.00099.2013
51 https://doi.org/10.1158/0008-5472.can-10-1319
52 https://doi.org/10.1158/1055-9965.epi-09-0162
53 https://doi.org/10.1159/000357785
54 https://doi.org/10.1177/1534735405285096
55 https://doi.org/10.1371/journal.pone.0059909
56 https://doi.org/10.1378/chest.13-1106
57 https://doi.org/10.3322/caac.20006
58 https://doi.org/10.3791/2664
59 https://doi.org/10.5402/2012/137289
60 schema:datePublished 2015-05
61 schema:datePublishedReg 2015-05-01
62 schema:description There is increasing interest in the development of noninvasive diagnostic methods for early cancer detection, to improve the survival rate and quality of life of cancer patients. Identification of volatile metabolic compounds may provide an approach for noninvasive early diagnosis of malignant diseases. Here we analyzed the volatile metabolic signature of human breast cancer cell lines versus normal human mammary cells. Volatile compounds in the headspace of conditioned culture medium were directly fingerprinted by secondary electrospray ionization-mass spectrometry. The mass spectra were subsequently treated statistically to identify discriminating features between normal vs. cancerous cell types. We were able to classify different samples by using feature selection followed by principal component analysis (PCA). Additionally, high-resolution mass spectrometry allowed us to propose their chemical structures for some of the most discriminating molecules. We conclude that cancerous cells can release a characteristic odor whose constituents may be used as disease markers.
63 schema:genre research_article
64 schema:inLanguage en
65 schema:isAccessibleForFree true
66 schema:isPartOf N07b49a3f8b5248eab972bea8594190a4
67 N718da8c38a134f79badde8fd2ffdc603
68 sg:journal.1045337
69 schema:name Fingerprinting Breast Cancer vs. Normal Mammary Cells by Mass Spectrometric Analysis of Volatiles
70 schema:pagination 5196
71 schema:productId N176b4d3d9d54421b9260162dcda7120e
72 N42154f720d09415a98e56d8e34c59d44
73 Naac8f604b86846c5b70c200fa390fba0
74 Nade370bb047044029b212defea1812d5
75 Nef8e92410e404985b05c039c15bd7c6a
76 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040086180
77 https://doi.org/10.1038/srep05196
78 schema:sdDatePublished 2019-04-10T21:25
79 schema:sdLicense https://scigraph.springernature.com/explorer/license/
80 schema:sdPublisher N4c3e66b0f5fe4b17928a99c04f791397
81 schema:url http://www.nature.com/srep/2014/140606/srep05196/full/srep05196.html
82 sgo:license sg:explorer/license/
83 sgo:sdDataset articles
84 rdf:type schema:ScholarlyArticle
85 N04de58087f174bbf8d6bbe5eed7e987b rdf:first sg:person.01334360062.95
86 rdf:rest Nfd1bd679b5e54790b42f9ac4c13850b0
87 N0797545cbb474bcd8168912e7bf0e3aa schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
88 schema:name Breast Neoplasms
89 rdf:type schema:DefinedTerm
90 N07b49a3f8b5248eab972bea8594190a4 schema:volumeNumber 4
91 rdf:type schema:PublicationVolume
92 N176b4d3d9d54421b9260162dcda7120e schema:name nlm_unique_id
93 schema:value 101563288
94 rdf:type schema:PropertyValue
95 N23efeafc06084ee2a9a952646723b0dd rdf:first sg:person.01140470631.51
96 rdf:rest rdf:nil
97 N37578206f25a42c59552032966e5a174 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
98 schema:name Spectrometry, Mass, Electrospray Ionization
99 rdf:type schema:DefinedTerm
100 N39fe8c78f4db4e7a8c225f0640cfb082 rdf:first sg:person.0714567756.65
101 rdf:rest N04de58087f174bbf8d6bbe5eed7e987b
102 N4018704f0ca84ba695fbc62f9780897f schema:affiliation https://www.grid.ac/institutes/grid.5801.c
103 schema:familyName He
104 schema:givenName Jingjing
105 rdf:type schema:Person
106 N42154f720d09415a98e56d8e34c59d44 schema:name readcube_id
107 schema:value bef4a2ba723c3532d0a3b5d6f9ca50edc21a3b7c579f25cfa4818bc9d5429db7
108 rdf:type schema:PropertyValue
109 N49dc0f4a8bd84331b19e4d47247827a8 rdf:first N4018704f0ca84ba695fbc62f9780897f
110 rdf:rest N39fe8c78f4db4e7a8c225f0640cfb082
111 N4c3e66b0f5fe4b17928a99c04f791397 schema:name Springer Nature - SN SciGraph project
112 rdf:type schema:Organization
113 N6cdb7ac4c64c4ed6a3c72b89a0b0cc5c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
114 schema:name Cells, Cultured
115 rdf:type schema:DefinedTerm
116 N718da8c38a134f79badde8fd2ffdc603 schema:issueNumber 1
117 rdf:type schema:PublicationIssue
118 N92a7b2ee5c0a49f4b05ca0c41bd01bc7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
119 schema:name Humans
120 rdf:type schema:DefinedTerm
121 Na52627665bc5443c9bb7746eba6a5b58 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
122 schema:name Principal Component Analysis
123 rdf:type schema:DefinedTerm
124 Naac8f604b86846c5b70c200fa390fba0 schema:name pubmed_id
125 schema:value 24903350
126 rdf:type schema:PropertyValue
127 Nade370bb047044029b212defea1812d5 schema:name dimensions_id
128 schema:value pub.1040086180
129 rdf:type schema:PropertyValue
130 Nb7bb597e882244589f77c3bf4caefb1e rdf:first sg:person.01365006771.39
131 rdf:rest N23efeafc06084ee2a9a952646723b0dd
132 Nba6af1600ab440f3ba5a06f1f8817f63 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
133 schema:name Female
134 rdf:type schema:DefinedTerm
135 Nc517a4eb28984f6da81e0622ceb1665c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
136 schema:name Breast
137 rdf:type schema:DefinedTerm
138 Ne809c9a64dd54559b2e89e8cbb56da20 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
139 schema:name Volatile Organic Compounds
140 rdf:type schema:DefinedTerm
141 Nef8e92410e404985b05c039c15bd7c6a schema:name doi
142 schema:value 10.1038/srep05196
143 rdf:type schema:PropertyValue
144 Nfd1bd679b5e54790b42f9ac4c13850b0 rdf:first sg:person.0610753762.93
145 rdf:rest Nb7bb597e882244589f77c3bf4caefb1e
146 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
147 schema:name Medical and Health Sciences
148 rdf:type schema:DefinedTerm
149 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
150 schema:name Oncology and Carcinogenesis
151 rdf:type schema:DefinedTerm
152 sg:grant.3787109 http://pending.schema.org/fundedItem sg:pub.10.1038/srep05196
153 rdf:type schema:MonetaryGrant
154 sg:journal.1045337 schema:issn 2045-2322
155 schema:name Scientific Reports
156 rdf:type schema:Periodical
157 sg:person.01140470631.51 schema:affiliation https://www.grid.ac/institutes/grid.5801.c
158 schema:familyName Zenobi
159 schema:givenName Renato
160 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01140470631.51
161 rdf:type schema:Person
162 sg:person.01334360062.95 schema:affiliation https://www.grid.ac/institutes/grid.5801.c
163 schema:familyName Hollmén
164 schema:givenName Maija
165 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01334360062.95
166 rdf:type schema:Person
167 sg:person.01365006771.39 schema:affiliation https://www.grid.ac/institutes/grid.5801.c
168 schema:familyName Detmar
169 schema:givenName Michael
170 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01365006771.39
171 rdf:type schema:Person
172 sg:person.0610753762.93 schema:affiliation https://www.grid.ac/institutes/grid.5801.c
173 schema:familyName Li
174 schema:givenName Xue
175 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0610753762.93
176 rdf:type schema:Person
177 sg:person.0714567756.65 schema:affiliation https://www.grid.ac/institutes/grid.5801.c
178 schema:familyName Sinues
179 schema:givenName Pablo Martinez-Lozano
180 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0714567756.65
181 rdf:type schema:Person
182 sg:pub.10.1007/s11306-013-0568-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1011426015
183 https://doi.org/10.1007/s11306-013-0568-z
184 rdf:type schema:CreativeWork
185 sg:pub.10.1007/s13361-012-0369-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1008985976
186 https://doi.org/10.1007/s13361-012-0369-z
187 rdf:type schema:CreativeWork
188 sg:pub.10.1016/j.jasms.2008.10.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002445262
189 https://doi.org/10.1016/j.jasms.2008.10.006
190 rdf:type schema:CreativeWork
191 sg:pub.10.1016/j.jasms.2009.01.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038284009
192 https://doi.org/10.1016/j.jasms.2009.01.012
193 rdf:type schema:CreativeWork
194 sg:pub.10.1038/nrc1390 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026152303
195 https://doi.org/10.1038/nrc1390
196 rdf:type schema:CreativeWork
197 sg:pub.10.1186/1471-2091-8-25 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004362062
198 https://doi.org/10.1186/1471-2091-8-25
199 rdf:type schema:CreativeWork
200 sg:pub.10.1186/gm336 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011949674
201 https://doi.org/10.1186/gm336
202 rdf:type schema:CreativeWork
203 https://app.dimensions.ai/details/publication/pub.1076844003 schema:CreativeWork
204 https://doi.org/10.1002/ijc.20651 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037818979
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1002/mcs.1220060511 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027918024
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1002/med.21293 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004391040
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1002/rcm.984 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033404616
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1006/bbrc.1994.2218 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022902610
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1016/j.aca.2012.10.018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040629480
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1016/j.biocel.2010.05.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005728312
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1016/j.cmet.2013.05.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049833315
219 rdf:type schema:CreativeWork
220 https://doi.org/10.1016/j.gene.2004.04.032 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043587272
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1016/j.ijms.2007.05.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027749780
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1016/j.ijms.2009.02.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053146763
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1016/j.ijms.2010.09.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018720407
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1016/j.ijms.2011.12.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022695189
229 rdf:type schema:CreativeWork
230 https://doi.org/10.1016/s0004-3702(97)00043-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1031014012
231 rdf:type schema:CreativeWork
232 https://doi.org/10.1016/s0140-6736(01)06065-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015602288
233 rdf:type schema:CreativeWork
234 https://doi.org/10.1016/s0140-6736(89)92257-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020501615
235 rdf:type schema:CreativeWork
236 https://doi.org/10.1016/s0891-5849(01)00480-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018930552
237 rdf:type schema:CreativeWork
238 https://doi.org/10.1021/ac3005378 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055002751
239 rdf:type schema:CreativeWork
240 https://doi.org/10.1021/ac3029097 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055003629
241 rdf:type schema:CreativeWork
242 https://doi.org/10.1021/ac801185e schema:sameAs https://app.dimensions.ai/details/publication/pub.1055070249
243 rdf:type schema:CreativeWork
244 https://doi.org/10.1021/ac9027593 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055072087
245 rdf:type schema:CreativeWork
246 https://doi.org/10.1021/ac9907235 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055077189
247 rdf:type schema:CreativeWork
248 https://doi.org/10.1021/cr300174a schema:sameAs https://app.dimensions.ai/details/publication/pub.1014419423
249 rdf:type schema:CreativeWork
250 https://doi.org/10.1039/b918899a schema:sameAs https://app.dimensions.ai/details/publication/pub.1039784078
251 rdf:type schema:CreativeWork
252 https://doi.org/10.1088/1752-7155/5/1/016002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009466529
253 rdf:type schema:CreativeWork
254 https://doi.org/10.1088/1752-7155/7/1/016003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036567698
255 rdf:type schema:CreativeWork
256 https://doi.org/10.1088/1752-7155/7/3/037106 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026319660
257 rdf:type schema:CreativeWork
258 https://doi.org/10.1089/omi.2009.0082 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059303775
259 rdf:type schema:CreativeWork
260 https://doi.org/10.1111/j.1749-6632.2010.05551.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1035622477
261 rdf:type schema:CreativeWork
262 https://doi.org/10.1128/jcm.00392-10 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008518667
263 rdf:type schema:CreativeWork
264 https://doi.org/10.1152/japplphysiol.00099.2013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041955133
265 rdf:type schema:CreativeWork
266 https://doi.org/10.1158/0008-5472.can-10-1319 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003003427
267 rdf:type schema:CreativeWork
268 https://doi.org/10.1158/1055-9965.epi-09-0162 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026372632
269 rdf:type schema:CreativeWork
270 https://doi.org/10.1159/000357785 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049903546
271 rdf:type schema:CreativeWork
272 https://doi.org/10.1177/1534735405285096 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038507090
273 rdf:type schema:CreativeWork
274 https://doi.org/10.1371/journal.pone.0059909 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052675460
275 rdf:type schema:CreativeWork
276 https://doi.org/10.1378/chest.13-1106 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005280257
277 rdf:type schema:CreativeWork
278 https://doi.org/10.3322/caac.20006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022825825
279 rdf:type schema:CreativeWork
280 https://doi.org/10.3791/2664 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003622428
281 rdf:type schema:CreativeWork
282 https://doi.org/10.5402/2012/137289 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020332523
283 rdf:type schema:CreativeWork
284 https://www.grid.ac/institutes/grid.5801.c schema:alternateName Swiss Federal Institute of Technology in Zurich
285 schema:name ETH Zurich, Department of Chemistry and Applied Biosciences, CH-8093 Zurich, Switzerland
286 ETH Zurich, Institute of Pharmaceutical Sciences, CH-8093 Zurich, Switzerland
287 State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100050, P.R. China
288 rdf:type schema:Organization
 




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


...