Cervical cancer subtypes harbouring integrated and/or episomal HPV16 portray distinct molecular phenotypes based on transcriptome profiling of mRNAs and miRNAs View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-12

AUTHORS

Paramita Mandal, Sweta Sharma Saha, Shrinka Sen, Amrapali Bhattacharya, Nitai P. Bhattacharya, Sudha Bucha, Mithun Sinha, Rahul Roy Chowdhury, Nidhu Ranjan Mondal, Biman Chakravarty, Tanmay Chatterjee, Sudipta Roy, Ansuman Chattapadhyay, Sharmila Sengupta

ABSTRACT

Heterogeneity in cervical cancers (CaCx) in terms of HPV16 physical status prompted us to investigate the mRNA and miRNA signatures among the different categories of CaCx samples. We performed microarray-based mRNA expression profiling and quantitative real-time PCR-based expression analysis of some prioritised miRNAs implicated in cancer-related pathways among various categories of cervical samples. Such samples included HPV16-positive CaCx cases that harboured either purely integrated HPV16 genomes (integrated) and those that harboured episomal viral genomes, either pure or concomitant with integrated viral genomes (episomal), which were compared with normal cervical samples that were either HPV negative or positive for HPV16. The mRNA expression profile differed characteristically between integrated and episomal CaCx cases for enriched biological pathways. miRNA expression profiles also differed among CaCx cases compared with controls (upregulation-miR-21, miR-16, miR-205, miR-323; downregulation-miR-143, miR-196b, miR-203, miR-34a; progressive upregulation-miR-21 and progressive downregulation-miR-143, miR-34a, miR-196b and miR-203) in the order of HPV-negative controls, HPV16-positive non-malignant samples and HPV16-positive CaCx cases. miR-200a was upregulated in HPV16-positive cervical tissues irrespective of histopathological status. Expression of majority of the predicted target genes was negatively correlated with their corresponding miRNAs, irrespective of the CaCx subtypes. E7 mRNA expression correlated positively with miR-323 expression among episomal cases and miR-203, among integrated cases. miR-181c expression was downregulated only among the episomal CaCx cases and negatively correlated with protein coding transcript of the proliferative target gene, CKS1B of the significantly enriched "G2/M DNA Damage Checkpoint Regulation" pathway among CaCx cases. Thus, the two CaCx subtypes are distinct entities at the molecular level, which could be differentially targeted for therapy. In fact, availability of a small molecule inhibitor of CKS1B, suggests that drugging CKS1B could be a potential avenue of treating the large majority of CaCx cases harbouring episomal HPV16. More... »

PAGES

81

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41420-019-0154-x

DOI

http://dx.doi.org/10.1038/s41420-019-0154-x

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112967783

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30937183


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0604", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Genetics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biological Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Burdwan", 
          "id": "https://www.grid.ac/institutes/grid.411826.8", 
          "name": [
            "National Institute of Biomedical Genomics, Kalyani, West Bengal, India", 
            "Department of Zoology, The University of Burdwan, Burdwan, West Bengal, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mandal", 
        "givenName": "Paramita", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institute of Biomedical Genomics", 
          "id": "https://www.grid.ac/institutes/grid.410872.8", 
          "name": [
            "National Institute of Biomedical Genomics, Kalyani, West Bengal, India", 
            "Section of Haematology/Oncology, Department of Medicine, university of Chicago, 5841 S Maryland Ave MC 2115, 60637, Chicago, IL, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Saha", 
        "givenName": "Sweta Sharma", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Jawaharlal Nehru Centre for Advanced Scientific Research", 
          "id": "https://www.grid.ac/institutes/grid.419636.f", 
          "name": [
            "National Institute of Biomedical Genomics, Kalyani, West Bengal, India", 
            "Molecular Biology and Genetics Unit, Jawaharlal Nehru Centre for Advanced Scientific Research, Jakkur, 560064, Bengaluru, Karnataka, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sen", 
        "givenName": "Shrinka", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institute of Biomedical Genomics", 
          "id": "https://www.grid.ac/institutes/grid.410872.8", 
          "name": [
            "National Institute of Biomedical Genomics, Kalyani, West Bengal, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bhattacharya", 
        "givenName": "Amrapali", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Saha Institute of Nuclear Physics", 
          "id": "https://www.grid.ac/institutes/grid.473481.d", 
          "name": [
            "Crystallography & Molecular Biology Division, Saha Institute of Nuclear Physics, 1/AF Bidhannagar, 700064, Kolkata, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bhattacharya", 
        "givenName": "Nitai P.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Saha Institute of Nuclear Physics", 
          "id": "https://www.grid.ac/institutes/grid.473481.d", 
          "name": [
            "Crystallography & Molecular Biology Division, Saha Institute of Nuclear Physics, 1/AF Bidhannagar, 700064, Kolkata, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bucha", 
        "givenName": "Sudha", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "The Ohio State University", 
          "id": "https://www.grid.ac/institutes/grid.261331.4", 
          "name": [
            "Crystallography & Molecular Biology Division, Saha Institute of Nuclear Physics, 1/AF Bidhannagar, 700064, Kolkata, India", 
            "Comprehensive Wound Center, Center for Regenerative Medicine and Cell Based Therapies, The Ohio State University, Columbus, OH, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sinha", 
        "givenName": "Mithun", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Saroj Gupta Cancer Centre & Research Institute", 
          "id": "https://www.grid.ac/institutes/grid.489176.5", 
          "name": [
            "Department of Gynecology, Saroj Gupta Cancer Centre and Research Institute, Kolkata, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chowdhury", 
        "givenName": "Rahul Roy", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Saroj Gupta Cancer Centre & Research Institute", 
          "id": "https://www.grid.ac/institutes/grid.489176.5", 
          "name": [
            "Department of Gynecology, Saroj Gupta Cancer Centre and Research Institute, Kolkata, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mondal", 
        "givenName": "Nidhu Ranjan", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Saroj Gupta Cancer Centre & Research Institute", 
          "id": "https://www.grid.ac/institutes/grid.489176.5", 
          "name": [
            "Department of Gynecology, Saroj Gupta Cancer Centre and Research Institute, Kolkata, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chakravarty", 
        "givenName": "Biman", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Saroj Gupta Cancer Centre & Research Institute", 
          "id": "https://www.grid.ac/institutes/grid.489176.5", 
          "name": [
            "Department of Gynecology, Saroj Gupta Cancer Centre and Research Institute, Kolkata, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chatterjee", 
        "givenName": "Tanmay", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Sri Aurobindo Seva Kendra, 1H, Gariahat Road (S) Jodhpur Park, 700068, Kolkata, West Bengal, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Roy", 
        "givenName": "Sudipta", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Pittsburgh", 
          "id": "https://www.grid.ac/institutes/grid.21925.3d", 
          "name": [
            "Health Science Library System, University of Pittsburgh, Pittsburgh, PA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chattapadhyay", 
        "givenName": "Ansuman", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institute of Biomedical Genomics", 
          "id": "https://www.grid.ac/institutes/grid.410872.8", 
          "name": [
            "National Institute of Biomedical Genomics, Kalyani, West Bengal, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sengupta", 
        "givenName": "Sharmila", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1074/mcp.m113.035600", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000153846"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1756-8722-7-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000673825", 
          "https://doi.org/10.1186/1756-8722-7-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev.micro.112408.134243", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001445751"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1399-0039.2007.00894.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003261790"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.virol.2010.03.030", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004341483"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/0008-5472.can-06-0800", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011881597"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ygyno.2005.09.016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012077691"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ygyno.2005.09.016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012077691"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.onc.1210700", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015506949", 
          "https://doi.org/10.1038/sj.onc.1210700"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1102434108", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018216074"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/0008-5472.can-09-4227", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018425043"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3892/ol.2015.2917", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018894116"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3892/ol.2015.2917", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018894116"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0097842", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019869802"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.89.7.3159", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022256626"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.onc.1208272", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022496849", 
          "https://doi.org/10.1038/sj.onc.1208272"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.onc.1208272", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022496849", 
          "https://doi.org/10.1038/sj.onc.1208272"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.18632/oncotarget.14533", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023136244"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cell.2009.01.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023682432"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0065647", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027543995"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ygyno.2003.11.031", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029779814"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jvi.00703-10", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029903165"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12885-016-2430-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031463572", 
          "https://doi.org/10.1186/s12885-016-2430-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12885-016-2430-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031463572", 
          "https://doi.org/10.1186/s12885-016-2430-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1159/000430313", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035378678"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/srep11724", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035933706", 
          "https://doi.org/10.1038/srep11724"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7314/apjcp.2014.15.4.1675", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036328904"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3390/molecules200713226", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037004970"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3390/molecules200713226", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037004970"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.onc.1208757", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037595058", 
          "https://doi.org/10.1038/sj.onc.1208757"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.onc.1208757", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037595058", 
          "https://doi.org/10.1038/sj.onc.1208757"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.virol.2008.04.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037883996"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.virol.2008.04.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037883996"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s13402-016-0298-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039641007", 
          "https://doi.org/10.1007/s13402-016-0298-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s13402-016-0298-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039641007", 
          "https://doi.org/10.1007/s13402-016-0298-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/mcb.00871-14", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040203813"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature07103", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041890378", 
          "https://doi.org/10.1038/nature07103"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-94-007-5590-1_1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042649523", 
          "https://doi.org/10.1007/978-94-007-5590-1_1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1525-1438.2007.00827.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046249780"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1525-1438.2007.00827.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046249780"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0010615", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048642225"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/apm.12136", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049019864"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/apm.12136", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049019864"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.0307323101", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049808985"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m114.624056", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050695263"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7314/apjcp.2013.14.5.3041", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052516936"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.virol.2006.06.018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053434089"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0044678", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053561297"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2174/1389202915666140528003249", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069178728"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3892/or.2016.4583", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071534291"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3892/or.2016.4583", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071534291"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4149/neo_2015_066", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072262726"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4267/2042/44803", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072418616"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature21386", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074205537", 
          "https://doi.org/10.1038/nature21386"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biopha.2017.10.040", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092479581"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "Heterogeneity in cervical cancers (CaCx) in terms of HPV16 physical status prompted us to investigate the mRNA and miRNA signatures among the different categories of CaCx samples. We performed microarray-based mRNA expression profiling and quantitative real-time PCR-based expression analysis of some prioritised miRNAs implicated in cancer-related pathways among various categories of cervical samples. Such samples included HPV16-positive CaCx cases that harboured either purely integrated HPV16 genomes (integrated) and those that harboured episomal viral genomes, either pure or concomitant with integrated viral genomes (episomal), which were compared with normal cervical samples that were either HPV negative or positive for HPV16. The mRNA expression profile differed characteristically between integrated and episomal CaCx cases for enriched biological pathways. miRNA expression profiles also differed among CaCx cases compared with controls (upregulation-miR-21, miR-16, miR-205, miR-323; downregulation-miR-143, miR-196b, miR-203, miR-34a; progressive upregulation-miR-21 and progressive downregulation-miR-143, miR-34a, miR-196b and miR-203) in the order of HPV-negative controls, HPV16-positive non-malignant samples and HPV16-positive CaCx cases. miR-200a was upregulated in HPV16-positive cervical tissues irrespective of histopathological status. Expression of majority of the predicted target genes was negatively correlated with their corresponding miRNAs, irrespective of the CaCx subtypes. E7 mRNA expression correlated positively with miR-323 expression among episomal cases and miR-203, among integrated cases. miR-181c expression was downregulated only among the episomal CaCx cases and negatively correlated with protein coding transcript of the proliferative target gene, CKS1B of the significantly enriched \"G2/M DNA Damage Checkpoint Regulation\" pathway among CaCx cases. Thus, the two CaCx subtypes are distinct entities at the molecular level, which could be differentially targeted for therapy. In fact, availability of a small molecule inhibitor of CKS1B, suggests that drugging CKS1B could be a potential avenue of treating the large majority of CaCx cases harbouring episomal HPV16.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/s41420-019-0154-x", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1052270", 
        "issn": [
          "2058-7716"
        ], 
        "name": "Cell Death Discovery", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "5"
      }
    ], 
    "name": "Cervical cancer subtypes harbouring integrated and/or episomal HPV16 portray distinct molecular phenotypes based on transcriptome profiling of mRNAs and miRNAs", 
    "pagination": "81", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/s41420-019-0154-x"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "3efd31d65dd68ac2665cab506d2df2c38b75ffb3dd7c5fbf497c12bda96f4e02"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1112967783"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101665035"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30937183"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/s41420-019-0154-x", 
      "https://app.dimensions.ai/details/publication/pub.1112967783"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-15T09:00", 
    "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/v90/0000000375_0000000375/records_91433_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/s41420-019-0154-x"
  }
]
 

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/s41420-019-0154-x'

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/s41420-019-0154-x'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41420-019-0154-x'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41420-019-0154-x'


 

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

311 TRIPLES      21 PREDICATES      73 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/s41420-019-0154-x schema:about anzsrc-for:06
2 anzsrc-for:0604
3 schema:author N41315b7fdcc043688fcd3a38a44ff759
4 schema:citation sg:pub.10.1007/978-94-007-5590-1_1
5 sg:pub.10.1007/s13402-016-0298-0
6 sg:pub.10.1038/nature07103
7 sg:pub.10.1038/nature21386
8 sg:pub.10.1038/sj.onc.1208272
9 sg:pub.10.1038/sj.onc.1208757
10 sg:pub.10.1038/sj.onc.1210700
11 sg:pub.10.1038/srep11724
12 sg:pub.10.1186/1756-8722-7-6
13 sg:pub.10.1186/s12885-016-2430-y
14 https://doi.org/10.1016/j.biopha.2017.10.040
15 https://doi.org/10.1016/j.cell.2009.01.002
16 https://doi.org/10.1016/j.virol.2006.06.018
17 https://doi.org/10.1016/j.virol.2008.04.007
18 https://doi.org/10.1016/j.virol.2010.03.030
19 https://doi.org/10.1016/j.ygyno.2003.11.031
20 https://doi.org/10.1016/j.ygyno.2005.09.016
21 https://doi.org/10.1073/pnas.0307323101
22 https://doi.org/10.1073/pnas.1102434108
23 https://doi.org/10.1073/pnas.89.7.3159
24 https://doi.org/10.1074/jbc.m114.624056
25 https://doi.org/10.1074/mcp.m113.035600
26 https://doi.org/10.1111/apm.12136
27 https://doi.org/10.1111/j.1399-0039.2007.00894.x
28 https://doi.org/10.1111/j.1525-1438.2007.00827.x
29 https://doi.org/10.1128/jvi.00703-10
30 https://doi.org/10.1128/mcb.00871-14
31 https://doi.org/10.1146/annurev.micro.112408.134243
32 https://doi.org/10.1158/0008-5472.can-06-0800
33 https://doi.org/10.1158/0008-5472.can-09-4227
34 https://doi.org/10.1159/000430313
35 https://doi.org/10.1371/journal.pone.0010615
36 https://doi.org/10.1371/journal.pone.0044678
37 https://doi.org/10.1371/journal.pone.0065647
38 https://doi.org/10.1371/journal.pone.0097842
39 https://doi.org/10.18632/oncotarget.14533
40 https://doi.org/10.2174/1389202915666140528003249
41 https://doi.org/10.3390/molecules200713226
42 https://doi.org/10.3892/ol.2015.2917
43 https://doi.org/10.3892/or.2016.4583
44 https://doi.org/10.4149/neo_2015_066
45 https://doi.org/10.4267/2042/44803
46 https://doi.org/10.7314/apjcp.2013.14.5.3041
47 https://doi.org/10.7314/apjcp.2014.15.4.1675
48 schema:datePublished 2019-12
49 schema:datePublishedReg 2019-12-01
50 schema:description Heterogeneity in cervical cancers (CaCx) in terms of HPV16 physical status prompted us to investigate the mRNA and miRNA signatures among the different categories of CaCx samples. We performed microarray-based mRNA expression profiling and quantitative real-time PCR-based expression analysis of some prioritised miRNAs implicated in cancer-related pathways among various categories of cervical samples. Such samples included HPV16-positive CaCx cases that harboured either purely integrated HPV16 genomes (integrated) and those that harboured episomal viral genomes, either pure or concomitant with integrated viral genomes (episomal), which were compared with normal cervical samples that were either HPV negative or positive for HPV16. The mRNA expression profile differed characteristically between integrated and episomal CaCx cases for enriched biological pathways. miRNA expression profiles also differed among CaCx cases compared with controls (upregulation-miR-21, miR-16, miR-205, miR-323; downregulation-miR-143, miR-196b, miR-203, miR-34a; progressive upregulation-miR-21 and progressive downregulation-miR-143, miR-34a, miR-196b and miR-203) in the order of HPV-negative controls, HPV16-positive non-malignant samples and HPV16-positive CaCx cases. miR-200a was upregulated in HPV16-positive cervical tissues irrespective of histopathological status. Expression of majority of the predicted target genes was negatively correlated with their corresponding miRNAs, irrespective of the CaCx subtypes. E7 mRNA expression correlated positively with miR-323 expression among episomal cases and miR-203, among integrated cases. miR-181c expression was downregulated only among the episomal CaCx cases and negatively correlated with protein coding transcript of the proliferative target gene, <i>CKS1B</i> of the significantly enriched "G2/M DNA Damage Checkpoint Regulation" pathway among CaCx cases. Thus, the two CaCx subtypes are distinct entities at the molecular level, which could be differentially targeted for therapy. In fact, availability of a small molecule inhibitor of <i>CKS1B</i>, suggests that drugging <i>CKS1B</i> could be a potential avenue of treating the large majority of CaCx cases harbouring episomal HPV16.
51 schema:genre research_article
52 schema:inLanguage en
53 schema:isAccessibleForFree false
54 schema:isPartOf N7b0ba20d46aa43618965141fd4742d1e
55 Nad005c61688f4c07b2ea3320d38cb88a
56 sg:journal.1052270
57 schema:name Cervical cancer subtypes harbouring integrated and/or episomal HPV16 portray distinct molecular phenotypes based on transcriptome profiling of mRNAs and miRNAs
58 schema:pagination 81
59 schema:productId N2e98dce299cf4ae29407ff433307af92
60 N400ea50da1864523abc58dba26cc254b
61 N678dec900d664bd08342e29abe533e5b
62 N87ce428492704a219376aa948f07b414
63 Nf4c73613642f40108fe3ca1fc6fa3071
64 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112967783
65 https://doi.org/10.1038/s41420-019-0154-x
66 schema:sdDatePublished 2019-04-15T09:00
67 schema:sdLicense https://scigraph.springernature.com/explorer/license/
68 schema:sdPublisher N7d67129014334d35ade1bbbdc57060fa
69 schema:url https://www.nature.com/articles/s41420-019-0154-x
70 sgo:license sg:explorer/license/
71 sgo:sdDataset articles
72 rdf:type schema:ScholarlyArticle
73 N03cb8364293146f0a9d9885067500a7d rdf:first Nfbe41e80f85e4d11af99d34826356e8c
74 rdf:rest Nbdb1d9cd4c6e4330b6f2e09a2a9cbbaa
75 N0451127f9b4e429ca6a728e589bae2a0 schema:affiliation https://www.grid.ac/institutes/grid.489176.5
76 schema:familyName Mondal
77 schema:givenName Nidhu Ranjan
78 rdf:type schema:Person
79 N08a344d99a1344f68a1066e4525fff53 schema:affiliation https://www.grid.ac/institutes/grid.21925.3d
80 schema:familyName Chattapadhyay
81 schema:givenName Ansuman
82 rdf:type schema:Person
83 N0bc4353cbdba43a39f3c296e8bacfbf5 rdf:first Ne5513daec1b443d38eec305c930851bc
84 rdf:rest N3b62d8c9991e41dfb12138bb58f76a81
85 N13c1f4d2bd7d4f598784eba56ee33b3f rdf:first N5f3758931982453891f1f7a40aa50e3e
86 rdf:rest rdf:nil
87 N1418d555178248ceaed84e9a0a2c063f schema:affiliation https://www.grid.ac/institutes/grid.489176.5
88 schema:familyName Chatterjee
89 schema:givenName Tanmay
90 rdf:type schema:Person
91 N1d1cd44166a7467eaeba73a05b3c4cef schema:affiliation https://www.grid.ac/institutes/grid.410872.8
92 schema:familyName Saha
93 schema:givenName Sweta Sharma
94 rdf:type schema:Person
95 N2105ad372f4c4d5998f51539681b099d rdf:first N82e06e5de58c4e46bfdfef21f3105889
96 rdf:rest N03cb8364293146f0a9d9885067500a7d
97 N2b56e3060fa54148988757e4a19fe529 schema:affiliation https://www.grid.ac/institutes/grid.261331.4
98 schema:familyName Sinha
99 schema:givenName Mithun
100 rdf:type schema:Person
101 N2e98dce299cf4ae29407ff433307af92 schema:name pubmed_id
102 schema:value 30937183
103 rdf:type schema:PropertyValue
104 N3b62d8c9991e41dfb12138bb58f76a81 rdf:first Nfa74869fabd946cfbcee312151c61589
105 rdf:rest N2105ad372f4c4d5998f51539681b099d
106 N400ea50da1864523abc58dba26cc254b schema:name dimensions_id
107 schema:value pub.1112967783
108 rdf:type schema:PropertyValue
109 N41315b7fdcc043688fcd3a38a44ff759 rdf:first Nb75d4048c064446fb64b9c3f885cd56c
110 rdf:rest N939b4b2506f14c26920b460a53cef65c
111 N4452078dd419499786e73a25c62d931a schema:affiliation https://www.grid.ac/institutes/grid.489176.5
112 schema:familyName Chowdhury
113 schema:givenName Rahul Roy
114 rdf:type schema:Person
115 N4fc07adacced431789f02db358f55f9d schema:affiliation https://www.grid.ac/institutes/grid.489176.5
116 schema:familyName Chakravarty
117 schema:givenName Biman
118 rdf:type schema:Person
119 N5171a4ff7fd140578635f6d97d4d9cb2 rdf:first N4fc07adacced431789f02db358f55f9d
120 rdf:rest N549ccce23aad4b6bb5e8d44ee74ea5fc
121 N549ccce23aad4b6bb5e8d44ee74ea5fc rdf:first N1418d555178248ceaed84e9a0a2c063f
122 rdf:rest N765a5ba172384f859bffea40428cba0c
123 N5f3758931982453891f1f7a40aa50e3e schema:affiliation https://www.grid.ac/institutes/grid.410872.8
124 schema:familyName Sengupta
125 schema:givenName Sharmila
126 rdf:type schema:Person
127 N678dec900d664bd08342e29abe533e5b schema:name readcube_id
128 schema:value 3efd31d65dd68ac2665cab506d2df2c38b75ffb3dd7c5fbf497c12bda96f4e02
129 rdf:type schema:PropertyValue
130 N6e9c43666d994c2694763e7c76a5b500 schema:name Sri Aurobindo Seva Kendra, 1H, Gariahat Road (S) Jodhpur Park, 700068, Kolkata, West Bengal, India
131 rdf:type schema:Organization
132 N765a5ba172384f859bffea40428cba0c rdf:first Na7c53428090b45beac6e9eb49b2c8295
133 rdf:rest N76fa308cc97a4bf69385bccf54cf77bc
134 N76fa308cc97a4bf69385bccf54cf77bc rdf:first N08a344d99a1344f68a1066e4525fff53
135 rdf:rest N13c1f4d2bd7d4f598784eba56ee33b3f
136 N7b0ba20d46aa43618965141fd4742d1e schema:issueNumber 1
137 rdf:type schema:PublicationIssue
138 N7d67129014334d35ade1bbbdc57060fa schema:name Springer Nature - SN SciGraph project
139 rdf:type schema:Organization
140 N82e06e5de58c4e46bfdfef21f3105889 schema:affiliation https://www.grid.ac/institutes/grid.473481.d
141 schema:familyName Bhattacharya
142 schema:givenName Nitai P.
143 rdf:type schema:Person
144 N87ce428492704a219376aa948f07b414 schema:name doi
145 schema:value 10.1038/s41420-019-0154-x
146 rdf:type schema:PropertyValue
147 N939b4b2506f14c26920b460a53cef65c rdf:first N1d1cd44166a7467eaeba73a05b3c4cef
148 rdf:rest N0bc4353cbdba43a39f3c296e8bacfbf5
149 Na441d419c47f45b4b46aa58f886a600d rdf:first N4452078dd419499786e73a25c62d931a
150 rdf:rest Nbdf4c24d73fa47ec84c014f165ca9db6
151 Na7c53428090b45beac6e9eb49b2c8295 schema:affiliation N6e9c43666d994c2694763e7c76a5b500
152 schema:familyName Roy
153 schema:givenName Sudipta
154 rdf:type schema:Person
155 Nad005c61688f4c07b2ea3320d38cb88a schema:volumeNumber 5
156 rdf:type schema:PublicationVolume
157 Nb75d4048c064446fb64b9c3f885cd56c schema:affiliation https://www.grid.ac/institutes/grid.411826.8
158 schema:familyName Mandal
159 schema:givenName Paramita
160 rdf:type schema:Person
161 Nbdb1d9cd4c6e4330b6f2e09a2a9cbbaa rdf:first N2b56e3060fa54148988757e4a19fe529
162 rdf:rest Na441d419c47f45b4b46aa58f886a600d
163 Nbdf4c24d73fa47ec84c014f165ca9db6 rdf:first N0451127f9b4e429ca6a728e589bae2a0
164 rdf:rest N5171a4ff7fd140578635f6d97d4d9cb2
165 Ne5513daec1b443d38eec305c930851bc schema:affiliation https://www.grid.ac/institutes/grid.419636.f
166 schema:familyName Sen
167 schema:givenName Shrinka
168 rdf:type schema:Person
169 Nf4c73613642f40108fe3ca1fc6fa3071 schema:name nlm_unique_id
170 schema:value 101665035
171 rdf:type schema:PropertyValue
172 Nfa74869fabd946cfbcee312151c61589 schema:affiliation https://www.grid.ac/institutes/grid.410872.8
173 schema:familyName Bhattacharya
174 schema:givenName Amrapali
175 rdf:type schema:Person
176 Nfbe41e80f85e4d11af99d34826356e8c schema:affiliation https://www.grid.ac/institutes/grid.473481.d
177 schema:familyName Bucha
178 schema:givenName Sudha
179 rdf:type schema:Person
180 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
181 schema:name Biological Sciences
182 rdf:type schema:DefinedTerm
183 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
184 schema:name Genetics
185 rdf:type schema:DefinedTerm
186 sg:journal.1052270 schema:issn 2058-7716
187 schema:name Cell Death Discovery
188 rdf:type schema:Periodical
189 sg:pub.10.1007/978-94-007-5590-1_1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042649523
190 https://doi.org/10.1007/978-94-007-5590-1_1
191 rdf:type schema:CreativeWork
192 sg:pub.10.1007/s13402-016-0298-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039641007
193 https://doi.org/10.1007/s13402-016-0298-0
194 rdf:type schema:CreativeWork
195 sg:pub.10.1038/nature07103 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041890378
196 https://doi.org/10.1038/nature07103
197 rdf:type schema:CreativeWork
198 sg:pub.10.1038/nature21386 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074205537
199 https://doi.org/10.1038/nature21386
200 rdf:type schema:CreativeWork
201 sg:pub.10.1038/sj.onc.1208272 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022496849
202 https://doi.org/10.1038/sj.onc.1208272
203 rdf:type schema:CreativeWork
204 sg:pub.10.1038/sj.onc.1208757 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037595058
205 https://doi.org/10.1038/sj.onc.1208757
206 rdf:type schema:CreativeWork
207 sg:pub.10.1038/sj.onc.1210700 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015506949
208 https://doi.org/10.1038/sj.onc.1210700
209 rdf:type schema:CreativeWork
210 sg:pub.10.1038/srep11724 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035933706
211 https://doi.org/10.1038/srep11724
212 rdf:type schema:CreativeWork
213 sg:pub.10.1186/1756-8722-7-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000673825
214 https://doi.org/10.1186/1756-8722-7-6
215 rdf:type schema:CreativeWork
216 sg:pub.10.1186/s12885-016-2430-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1031463572
217 https://doi.org/10.1186/s12885-016-2430-y
218 rdf:type schema:CreativeWork
219 https://doi.org/10.1016/j.biopha.2017.10.040 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092479581
220 rdf:type schema:CreativeWork
221 https://doi.org/10.1016/j.cell.2009.01.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023682432
222 rdf:type schema:CreativeWork
223 https://doi.org/10.1016/j.virol.2006.06.018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053434089
224 rdf:type schema:CreativeWork
225 https://doi.org/10.1016/j.virol.2008.04.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037883996
226 rdf:type schema:CreativeWork
227 https://doi.org/10.1016/j.virol.2010.03.030 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004341483
228 rdf:type schema:CreativeWork
229 https://doi.org/10.1016/j.ygyno.2003.11.031 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029779814
230 rdf:type schema:CreativeWork
231 https://doi.org/10.1016/j.ygyno.2005.09.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012077691
232 rdf:type schema:CreativeWork
233 https://doi.org/10.1073/pnas.0307323101 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049808985
234 rdf:type schema:CreativeWork
235 https://doi.org/10.1073/pnas.1102434108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018216074
236 rdf:type schema:CreativeWork
237 https://doi.org/10.1073/pnas.89.7.3159 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022256626
238 rdf:type schema:CreativeWork
239 https://doi.org/10.1074/jbc.m114.624056 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050695263
240 rdf:type schema:CreativeWork
241 https://doi.org/10.1074/mcp.m113.035600 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000153846
242 rdf:type schema:CreativeWork
243 https://doi.org/10.1111/apm.12136 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049019864
244 rdf:type schema:CreativeWork
245 https://doi.org/10.1111/j.1399-0039.2007.00894.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1003261790
246 rdf:type schema:CreativeWork
247 https://doi.org/10.1111/j.1525-1438.2007.00827.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1046249780
248 rdf:type schema:CreativeWork
249 https://doi.org/10.1128/jvi.00703-10 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029903165
250 rdf:type schema:CreativeWork
251 https://doi.org/10.1128/mcb.00871-14 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040203813
252 rdf:type schema:CreativeWork
253 https://doi.org/10.1146/annurev.micro.112408.134243 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001445751
254 rdf:type schema:CreativeWork
255 https://doi.org/10.1158/0008-5472.can-06-0800 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011881597
256 rdf:type schema:CreativeWork
257 https://doi.org/10.1158/0008-5472.can-09-4227 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018425043
258 rdf:type schema:CreativeWork
259 https://doi.org/10.1159/000430313 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035378678
260 rdf:type schema:CreativeWork
261 https://doi.org/10.1371/journal.pone.0010615 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048642225
262 rdf:type schema:CreativeWork
263 https://doi.org/10.1371/journal.pone.0044678 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053561297
264 rdf:type schema:CreativeWork
265 https://doi.org/10.1371/journal.pone.0065647 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027543995
266 rdf:type schema:CreativeWork
267 https://doi.org/10.1371/journal.pone.0097842 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019869802
268 rdf:type schema:CreativeWork
269 https://doi.org/10.18632/oncotarget.14533 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023136244
270 rdf:type schema:CreativeWork
271 https://doi.org/10.2174/1389202915666140528003249 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069178728
272 rdf:type schema:CreativeWork
273 https://doi.org/10.3390/molecules200713226 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037004970
274 rdf:type schema:CreativeWork
275 https://doi.org/10.3892/ol.2015.2917 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018894116
276 rdf:type schema:CreativeWork
277 https://doi.org/10.3892/or.2016.4583 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071534291
278 rdf:type schema:CreativeWork
279 https://doi.org/10.4149/neo_2015_066 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072262726
280 rdf:type schema:CreativeWork
281 https://doi.org/10.4267/2042/44803 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072418616
282 rdf:type schema:CreativeWork
283 https://doi.org/10.7314/apjcp.2013.14.5.3041 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052516936
284 rdf:type schema:CreativeWork
285 https://doi.org/10.7314/apjcp.2014.15.4.1675 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036328904
286 rdf:type schema:CreativeWork
287 https://www.grid.ac/institutes/grid.21925.3d schema:alternateName University of Pittsburgh
288 schema:name Health Science Library System, University of Pittsburgh, Pittsburgh, PA, USA
289 rdf:type schema:Organization
290 https://www.grid.ac/institutes/grid.261331.4 schema:alternateName The Ohio State University
291 schema:name Comprehensive Wound Center, Center for Regenerative Medicine and Cell Based Therapies, The Ohio State University, Columbus, OH, USA
292 Crystallography & Molecular Biology Division, Saha Institute of Nuclear Physics, 1/AF Bidhannagar, 700064, Kolkata, India
293 rdf:type schema:Organization
294 https://www.grid.ac/institutes/grid.410872.8 schema:alternateName National Institute of Biomedical Genomics
295 schema:name National Institute of Biomedical Genomics, Kalyani, West Bengal, India
296 Section of Haematology/Oncology, Department of Medicine, university of Chicago, 5841 S Maryland Ave MC 2115, 60637, Chicago, IL, USA
297 rdf:type schema:Organization
298 https://www.grid.ac/institutes/grid.411826.8 schema:alternateName University of Burdwan
299 schema:name Department of Zoology, The University of Burdwan, Burdwan, West Bengal, India
300 National Institute of Biomedical Genomics, Kalyani, West Bengal, India
301 rdf:type schema:Organization
302 https://www.grid.ac/institutes/grid.419636.f schema:alternateName Jawaharlal Nehru Centre for Advanced Scientific Research
303 schema:name Molecular Biology and Genetics Unit, Jawaharlal Nehru Centre for Advanced Scientific Research, Jakkur, 560064, Bengaluru, Karnataka, India
304 National Institute of Biomedical Genomics, Kalyani, West Bengal, India
305 rdf:type schema:Organization
306 https://www.grid.ac/institutes/grid.473481.d schema:alternateName Saha Institute of Nuclear Physics
307 schema:name Crystallography & Molecular Biology Division, Saha Institute of Nuclear Physics, 1/AF Bidhannagar, 700064, Kolkata, India
308 rdf:type schema:Organization
309 https://www.grid.ac/institutes/grid.489176.5 schema:alternateName Saroj Gupta Cancer Centre & Research Institute
310 schema:name Department of Gynecology, Saroj Gupta Cancer Centre and Research Institute, Kolkata, India
311 rdf:type schema:Organization
 




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


...