Patient-derived conditionally reprogrammed cells maintain intra-tumor genetic heterogeneity View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Bruna R. S. Correa, Joanna Hu, Luiz O. F. Penalva, Richard Schlegel, David L. Rimm, Pedro A. F. Galante, Seema Agarwal

ABSTRACT

Preclinical in vitro models provide an essential tool to study cancer cell biology as well as aid in translational research, including drug target identification and drug discovery efforts. For any model to be clinically relevant, it needs to recapitulate the biology and cell heterogeneity of the primary tumor. We recently developed and described a conditional reprogramming (CR) cell technology that addresses many of these needs and avoids the deficiencies of most current cancer cell lines, which are usually clonal in origin. Here, we used the CR cell method to generate a collection of patient-derived cell cultures from non-small cell lung cancers (NSCLC). Whole exome sequencing and copy number variations are used for the first time to address the capability of CR cells to keep their tumor-derived heterogeneity. Our results indicated that these primary cultures largely maintained the molecular characteristics of the original tumors. Using a mutant-allele tumor heterogeneity (MATH) score, we showed that CR cells are able to keep and maintain most of the intra-tumoral heterogeneity, suggesting oligoclonality of these cultures. CR cultures therefore represent a pre-clinical lung cancer model for future basic and translational studies. More... »

PAGES

4097

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41598-018-22427-1

DOI

http://dx.doi.org/10.1038/s41598-018-22427-1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1101269809

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29511269


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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Centre for Genomic Regulation", 
          "id": "https://www.grid.ac/institutes/grid.11478.3b", 
          "name": [
            "Centro de Oncologia Molecular - Hospital S\u00edrio-Liban\u00eas, 01308-060, S\u00e3o Paulo, SP, Brazil", 
            "Centre for Genomic Regulation (CRG), 08003, Barcelona, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Correa", 
        "givenName": "Bruna R. S.", 
        "id": "sg:person.01303067562.86", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01303067562.86"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Yale University", 
          "id": "https://www.grid.ac/institutes/grid.47100.32", 
          "name": [
            "Department of Pathology, Yale University, 06510, New Haven, CT, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hu", 
        "givenName": "Joanna", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "The University of Texas Health Science Center at San Antonio", 
          "id": "https://www.grid.ac/institutes/grid.267309.9", 
          "name": [
            "Children\u2019s Cancer Research Institute \u2013 UTHSCSA, 78229, San Antonio, TX, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Penalva", 
        "givenName": "Luiz O. F.", 
        "id": "sg:person.012652646027.95", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012652646027.95"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Georgetown University Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.411667.3", 
          "name": [
            "Department of Pathology, Center for Cell Reprogramming, Georgetown University Medical Center, 20007, Washington, DC, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Schlegel", 
        "givenName": "Richard", 
        "id": "sg:person.010436130022.17", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010436130022.17"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Yale University", 
          "id": "https://www.grid.ac/institutes/grid.47100.32", 
          "name": [
            "Department of Pathology, Yale University, 06510, New Haven, CT, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rimm", 
        "givenName": "David L.", 
        "id": "sg:person.0754207153.13", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0754207153.13"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hospital S\u00edrio-Liban\u00eas", 
          "id": "https://www.grid.ac/institutes/grid.413471.4", 
          "name": [
            "Centro de Oncologia Molecular - Hospital S\u00edrio-Liban\u00eas, 01308-060, S\u00e3o Paulo, SP, Brazil"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Galante", 
        "givenName": "Pedro A. F.", 
        "id": "sg:person.013726175027.60", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013726175027.60"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Georgetown University Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.411667.3", 
          "name": [
            "Department of Pathology, Yale University, 06510, New Haven, CT, USA", 
            "Department of Pathology, Center for Cell Reprogramming, Georgetown University Medical Center, 20007, Washington, DC, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Agarwal", 
        "givenName": "Seema", 
        "id": "sg:person.01073522325.43", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01073522325.43"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1002/ijc.28750", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000096391"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.18632/oncotarget.13937", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005312194"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.14348/molcells.2016.2350", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005514857"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ajpath.2011.10.036", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005908259"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa1203055", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009362917"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.oraloncology.2012.09.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009873030"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.molonc.2010.04.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011126774"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/gr.6861907", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016380326"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13059-015-0692-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017242507", 
          "https://doi.org/10.1186/s13059-015-0692-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13059-015-0692-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017242507", 
          "https://doi.org/10.1186/s13059-015-0692-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13059-015-0692-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017242507", 
          "https://doi.org/10.1186/s13059-015-0692-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmeth.2728", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017994115", 
          "https://doi.org/10.1038/nmeth.2728"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btp352", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023014918"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/pdb.top46", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031937591"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1235122", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035954369"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7554/elife.06132", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036263011"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btp324", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038266369"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.3315", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040831902", 
          "https://doi.org/10.1038/ng.3315"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1254721", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043398287"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11684-016-0432-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044054593", 
          "https://doi.org/10.1007/s11684-016-0432-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/0008-5472.can-15-0727", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045145235"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.18632/oncotarget.11875", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048063128"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bcp.2014.06.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048320344"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrc.2016.140", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053863419", 
          "https://doi.org/10.1038/nrc.2016.140"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nprot.2016.174", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074191461", 
          "https://doi.org/10.1038/nprot.2016.174"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cell.2017.01.018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083748139"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12943-017-0600-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083844980", 
          "https://doi.org/10.1186/s12943-017-0600-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12943-017-0600-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083844980", 
          "https://doi.org/10.1186/s12943-017-0600-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ctrv.2017.02.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084068955"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/2159-8290.cd-16-1154", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084232825"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/srep45617", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084514006", 
          "https://doi.org/10.1038/srep45617"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa1616288", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085073130"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/onc.2017.322", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091514230", 
          "https://doi.org/10.1038/onc.2017.322"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-12", 
    "datePublishedReg": "2018-12-01", 
    "description": "Preclinical in vitro models provide an essential tool to study cancer cell biology as well as aid in translational research, including drug target identification and drug discovery efforts. For any model to be clinically relevant, it needs to recapitulate the biology and cell heterogeneity of the primary tumor. We recently developed and described a conditional reprogramming (CR) cell technology that addresses many of these needs and avoids the deficiencies of most current cancer cell lines, which are usually clonal in origin. Here, we used the CR cell method to generate a collection of patient-derived cell cultures from non-small cell lung cancers (NSCLC). Whole exome sequencing and copy number variations are used for the first time to address the capability of CR cells to keep their tumor-derived heterogeneity. Our results indicated that these primary cultures largely maintained the molecular characteristics of the original tumors. Using a mutant-allele tumor heterogeneity (MATH) score, we showed that CR cells are able to keep and maintain most of the intra-tumoral heterogeneity, suggesting oligoclonality of these cultures. CR cultures therefore represent a pre-clinical lung cancer model for future basic and translational studies.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/s41598-018-22427-1", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.5475983", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1045337", 
        "issn": [
          "2045-2322"
        ], 
        "name": "Scientific Reports", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "8"
      }
    ], 
    "name": "Patient-derived conditionally reprogrammed cells maintain intra-tumor genetic heterogeneity", 
    "pagination": "4097", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "e4342114a2c3cefc43c2a0842f25cebfb281d274f705d405c27b4fc5c91f77e8"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "29511269"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101563288"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/s41598-018-22427-1"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1101269809"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/s41598-018-22427-1", 
      "https://app.dimensions.ai/details/publication/pub.1101269809"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T11:04", 
    "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/v90/0000000352_0000000352/records_60366_00000003.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/s41598-018-22427-1"
  }
]
 

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/s41598-018-22427-1'

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/s41598-018-22427-1'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-22427-1'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-22427-1'


 

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

224 TRIPLES      21 PREDICATES      59 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/s41598-018-22427-1 schema:about anzsrc-for:11
2 anzsrc-for:1112
3 schema:author N7ba419694c7f4204a43cee052cfec0c7
4 schema:citation sg:pub.10.1007/s11684-016-0432-4
5 sg:pub.10.1038/ng.3315
6 sg:pub.10.1038/nmeth.2728
7 sg:pub.10.1038/nprot.2016.174
8 sg:pub.10.1038/nrc.2016.140
9 sg:pub.10.1038/onc.2017.322
10 sg:pub.10.1038/srep45617
11 sg:pub.10.1186/s12943-017-0600-4
12 sg:pub.10.1186/s13059-015-0692-3
13 https://doi.org/10.1002/ijc.28750
14 https://doi.org/10.1016/j.ajpath.2011.10.036
15 https://doi.org/10.1016/j.bcp.2014.06.008
16 https://doi.org/10.1016/j.cell.2017.01.018
17 https://doi.org/10.1016/j.ctrv.2017.02.009
18 https://doi.org/10.1016/j.molonc.2010.04.010
19 https://doi.org/10.1016/j.oraloncology.2012.09.007
20 https://doi.org/10.1056/nejmoa1203055
21 https://doi.org/10.1056/nejmoa1616288
22 https://doi.org/10.1093/bioinformatics/btp324
23 https://doi.org/10.1093/bioinformatics/btp352
24 https://doi.org/10.1101/gr.6861907
25 https://doi.org/10.1101/pdb.top46
26 https://doi.org/10.1126/science.1235122
27 https://doi.org/10.1126/science.1254721
28 https://doi.org/10.1158/0008-5472.can-15-0727
29 https://doi.org/10.1158/2159-8290.cd-16-1154
30 https://doi.org/10.14348/molcells.2016.2350
31 https://doi.org/10.18632/oncotarget.11875
32 https://doi.org/10.18632/oncotarget.13937
33 https://doi.org/10.7554/elife.06132
34 schema:datePublished 2018-12
35 schema:datePublishedReg 2018-12-01
36 schema:description Preclinical in vitro models provide an essential tool to study cancer cell biology as well as aid in translational research, including drug target identification and drug discovery efforts. For any model to be clinically relevant, it needs to recapitulate the biology and cell heterogeneity of the primary tumor. We recently developed and described a conditional reprogramming (CR) cell technology that addresses many of these needs and avoids the deficiencies of most current cancer cell lines, which are usually clonal in origin. Here, we used the CR cell method to generate a collection of patient-derived cell cultures from non-small cell lung cancers (NSCLC). Whole exome sequencing and copy number variations are used for the first time to address the capability of CR cells to keep their tumor-derived heterogeneity. Our results indicated that these primary cultures largely maintained the molecular characteristics of the original tumors. Using a mutant-allele tumor heterogeneity (MATH) score, we showed that CR cells are able to keep and maintain most of the intra-tumoral heterogeneity, suggesting oligoclonality of these cultures. CR cultures therefore represent a pre-clinical lung cancer model for future basic and translational studies.
37 schema:genre research_article
38 schema:inLanguage en
39 schema:isAccessibleForFree true
40 schema:isPartOf N09ab87f1eb0644fd8b790e34933597c6
41 N8e421fca9f574a4f8e07ea7e51410100
42 sg:journal.1045337
43 schema:name Patient-derived conditionally reprogrammed cells maintain intra-tumor genetic heterogeneity
44 schema:pagination 4097
45 schema:productId N06f00178bbd74864be36bb053cbeca95
46 N2886e8efa0304169957bc5d9878bb616
47 Nac5b4e72fb45484a9cf5cc17112e5d9b
48 Ncf17ec3ca08b422892508f60027a6f8f
49 Nec5da0494d534b47bb624240ca989d2e
50 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101269809
51 https://doi.org/10.1038/s41598-018-22427-1
52 schema:sdDatePublished 2019-04-11T11:04
53 schema:sdLicense https://scigraph.springernature.com/explorer/license/
54 schema:sdPublisher N718a3aa94fec4fcdb3c698bb70c239e2
55 schema:url https://www.nature.com/articles/s41598-018-22427-1
56 sgo:license sg:explorer/license/
57 sgo:sdDataset articles
58 rdf:type schema:ScholarlyArticle
59 N06f00178bbd74864be36bb053cbeca95 schema:name dimensions_id
60 schema:value pub.1101269809
61 rdf:type schema:PropertyValue
62 N09ab87f1eb0644fd8b790e34933597c6 schema:issueNumber 1
63 rdf:type schema:PublicationIssue
64 N11a4a7c0f0bf4c17b12bc51ca2d7bd1f schema:affiliation https://www.grid.ac/institutes/grid.47100.32
65 schema:familyName Hu
66 schema:givenName Joanna
67 rdf:type schema:Person
68 N2886e8efa0304169957bc5d9878bb616 schema:name nlm_unique_id
69 schema:value 101563288
70 rdf:type schema:PropertyValue
71 N39f805b6741c4a65a6255d8bc45909e5 rdf:first sg:person.013726175027.60
72 rdf:rest N3d058bbcf98e44438f998d0798da0ef9
73 N3d058bbcf98e44438f998d0798da0ef9 rdf:first sg:person.01073522325.43
74 rdf:rest rdf:nil
75 N718a3aa94fec4fcdb3c698bb70c239e2 schema:name Springer Nature - SN SciGraph project
76 rdf:type schema:Organization
77 N7ba419694c7f4204a43cee052cfec0c7 rdf:first sg:person.01303067562.86
78 rdf:rest N975033c02bcc4e7c9de87e30675049d2
79 N7e4da9285ee14848b9569ea554201e9a rdf:first sg:person.012652646027.95
80 rdf:rest N97d69d07bfb346049096cda9f9707968
81 N8e421fca9f574a4f8e07ea7e51410100 schema:volumeNumber 8
82 rdf:type schema:PublicationVolume
83 N975033c02bcc4e7c9de87e30675049d2 rdf:first N11a4a7c0f0bf4c17b12bc51ca2d7bd1f
84 rdf:rest N7e4da9285ee14848b9569ea554201e9a
85 N97d69d07bfb346049096cda9f9707968 rdf:first sg:person.010436130022.17
86 rdf:rest Nbad8c33eedf441e0aecbf885215ec672
87 Nac5b4e72fb45484a9cf5cc17112e5d9b schema:name pubmed_id
88 schema:value 29511269
89 rdf:type schema:PropertyValue
90 Nbad8c33eedf441e0aecbf885215ec672 rdf:first sg:person.0754207153.13
91 rdf:rest N39f805b6741c4a65a6255d8bc45909e5
92 Ncf17ec3ca08b422892508f60027a6f8f schema:name doi
93 schema:value 10.1038/s41598-018-22427-1
94 rdf:type schema:PropertyValue
95 Nec5da0494d534b47bb624240ca989d2e schema:name readcube_id
96 schema:value e4342114a2c3cefc43c2a0842f25cebfb281d274f705d405c27b4fc5c91f77e8
97 rdf:type schema:PropertyValue
98 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
99 schema:name Medical and Health Sciences
100 rdf:type schema:DefinedTerm
101 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
102 schema:name Oncology and Carcinogenesis
103 rdf:type schema:DefinedTerm
104 sg:grant.5475983 http://pending.schema.org/fundedItem sg:pub.10.1038/s41598-018-22427-1
105 rdf:type schema:MonetaryGrant
106 sg:journal.1045337 schema:issn 2045-2322
107 schema:name Scientific Reports
108 rdf:type schema:Periodical
109 sg:person.010436130022.17 schema:affiliation https://www.grid.ac/institutes/grid.411667.3
110 schema:familyName Schlegel
111 schema:givenName Richard
112 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010436130022.17
113 rdf:type schema:Person
114 sg:person.01073522325.43 schema:affiliation https://www.grid.ac/institutes/grid.411667.3
115 schema:familyName Agarwal
116 schema:givenName Seema
117 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01073522325.43
118 rdf:type schema:Person
119 sg:person.012652646027.95 schema:affiliation https://www.grid.ac/institutes/grid.267309.9
120 schema:familyName Penalva
121 schema:givenName Luiz O. F.
122 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012652646027.95
123 rdf:type schema:Person
124 sg:person.01303067562.86 schema:affiliation https://www.grid.ac/institutes/grid.11478.3b
125 schema:familyName Correa
126 schema:givenName Bruna R. S.
127 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01303067562.86
128 rdf:type schema:Person
129 sg:person.013726175027.60 schema:affiliation https://www.grid.ac/institutes/grid.413471.4
130 schema:familyName Galante
131 schema:givenName Pedro A. F.
132 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013726175027.60
133 rdf:type schema:Person
134 sg:person.0754207153.13 schema:affiliation https://www.grid.ac/institutes/grid.47100.32
135 schema:familyName Rimm
136 schema:givenName David L.
137 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0754207153.13
138 rdf:type schema:Person
139 sg:pub.10.1007/s11684-016-0432-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044054593
140 https://doi.org/10.1007/s11684-016-0432-4
141 rdf:type schema:CreativeWork
142 sg:pub.10.1038/ng.3315 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040831902
143 https://doi.org/10.1038/ng.3315
144 rdf:type schema:CreativeWork
145 sg:pub.10.1038/nmeth.2728 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017994115
146 https://doi.org/10.1038/nmeth.2728
147 rdf:type schema:CreativeWork
148 sg:pub.10.1038/nprot.2016.174 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074191461
149 https://doi.org/10.1038/nprot.2016.174
150 rdf:type schema:CreativeWork
151 sg:pub.10.1038/nrc.2016.140 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053863419
152 https://doi.org/10.1038/nrc.2016.140
153 rdf:type schema:CreativeWork
154 sg:pub.10.1038/onc.2017.322 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091514230
155 https://doi.org/10.1038/onc.2017.322
156 rdf:type schema:CreativeWork
157 sg:pub.10.1038/srep45617 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084514006
158 https://doi.org/10.1038/srep45617
159 rdf:type schema:CreativeWork
160 sg:pub.10.1186/s12943-017-0600-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083844980
161 https://doi.org/10.1186/s12943-017-0600-4
162 rdf:type schema:CreativeWork
163 sg:pub.10.1186/s13059-015-0692-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017242507
164 https://doi.org/10.1186/s13059-015-0692-3
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1002/ijc.28750 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000096391
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1016/j.ajpath.2011.10.036 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005908259
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1016/j.bcp.2014.06.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048320344
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1016/j.cell.2017.01.018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083748139
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1016/j.ctrv.2017.02.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084068955
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1016/j.molonc.2010.04.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011126774
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1016/j.oraloncology.2012.09.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009873030
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1056/nejmoa1203055 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009362917
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1056/nejmoa1616288 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085073130
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1093/bioinformatics/btp324 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038266369
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1093/bioinformatics/btp352 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023014918
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1101/gr.6861907 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016380326
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1101/pdb.top46 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031937591
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1126/science.1235122 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035954369
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1126/science.1254721 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043398287
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1158/0008-5472.can-15-0727 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045145235
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1158/2159-8290.cd-16-1154 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084232825
199 rdf:type schema:CreativeWork
200 https://doi.org/10.14348/molcells.2016.2350 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005514857
201 rdf:type schema:CreativeWork
202 https://doi.org/10.18632/oncotarget.11875 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048063128
203 rdf:type schema:CreativeWork
204 https://doi.org/10.18632/oncotarget.13937 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005312194
205 rdf:type schema:CreativeWork
206 https://doi.org/10.7554/elife.06132 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036263011
207 rdf:type schema:CreativeWork
208 https://www.grid.ac/institutes/grid.11478.3b schema:alternateName Centre for Genomic Regulation
209 schema:name Centre for Genomic Regulation (CRG), 08003, Barcelona, Spain
210 Centro de Oncologia Molecular - Hospital Sírio-Libanês, 01308-060, São Paulo, SP, Brazil
211 rdf:type schema:Organization
212 https://www.grid.ac/institutes/grid.267309.9 schema:alternateName The University of Texas Health Science Center at San Antonio
213 schema:name Children’s Cancer Research Institute – UTHSCSA, 78229, San Antonio, TX, USA
214 rdf:type schema:Organization
215 https://www.grid.ac/institutes/grid.411667.3 schema:alternateName Georgetown University Medical Center
216 schema:name Department of Pathology, Center for Cell Reprogramming, Georgetown University Medical Center, 20007, Washington, DC, USA
217 Department of Pathology, Yale University, 06510, New Haven, CT, USA
218 rdf:type schema:Organization
219 https://www.grid.ac/institutes/grid.413471.4 schema:alternateName Hospital Sírio-Libanês
220 schema:name Centro de Oncologia Molecular - Hospital Sírio-Libanês, 01308-060, São Paulo, SP, Brazil
221 rdf:type schema:Organization
222 https://www.grid.ac/institutes/grid.47100.32 schema:alternateName Yale University
223 schema:name Department of Pathology, Yale University, 06510, New Haven, CT, USA
224 rdf:type schema:Organization
 




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


...