Systems Biology Approach to Identify Novel Genomic Determinants for Pancreatic Cancer Pathogenesis View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Indu Khatri, Koelina Ganguly, Sunandini Sharma, Joseph Carmicheal, Sukhwinder Kaur, Surinder K. Batra, Manoj K. Bhasin

ABSTRACT

Pancreatic ductal adenocarcinoma (PDAC) is a lethal malignancy with a 5-year survival rate of <8%. Its dismal prognosis stems from inefficient therapeutic modalities owing to the lack of understanding about pancreatic cancer pathogenesis. Considering the molecular complexity and heterogeneity of PDAC, identification of novel molecular contributors involved in PDAC onset and progression using global "omics" analysis will pave the way to improved strategies for disease prevention and therapeutic targeting. Meta-analysis of multiple miRNA microarray datasets containing healthy controls (HC), chronic pancreatitis (CP) and PDAC cases, identified 13 miRNAs involved in the progression of PDAC. These miRNAs showed dysregulation in both tissue as well as blood samples, along with progressive decrease in expression from HC to CP to PDAC. Gene-miRNA interaction analysis further elucidated 5 miRNAs (29a/b, 27a, 130b and 148a) that are significantly downregulated in conjunction with concomitant upregulation of their target genes throughout PDAC progression. Among these, miRNA-29a/b targeted genes were found to be most significantly altered in comparative profiling of HC, CP and PDAC, indicating its involvement in malignant evolution. Further, pathway analysis suggested direct involvement of miRNA-29a/b in downregulating the key pathways associated with PDAC development and metastasis including focal adhesion signaling and extracellular matrix organization. Our systems biology data analysis, in combination with real-time PCR validation indicates direct functional involvement of miRNA-29a in PDAC progression and is a potential prognostic marker and therapeutic candidate for patients with progressive disease. More... »

PAGES

123

References to SciGraph publications

  • 2017-08-07. Lysine demethylase KDM2A inhibits TET2 to promote DNA methylation and silencing of tumor suppressor genes in breast cancer in ONCOGENESIS
  • 2015-09. Pathophysiological role of microRNA-29 in pancreatic cancer stroma in SCIENTIFIC REPORTS
  • 2016-12. MAP4K4: an emerging therapeutic target in cancer in CELL & BIOSCIENCE
  • 2014-10. Elevation of circulating branched-chain amino acids is an early event in human pancreatic adenocarcinoma development in NATURE MEDICINE
  • 2007-05. A tumor suppressor and oncogene: the WT1 story in LEUKEMIA
  • 2014-06. The immune network in pancreatic cancer development and progression in ONCOGENE
  • 2011-10. Toward the blood-borne miRNome of human diseases in NATURE METHODS
  • 2010-12. MicroRNA, hsa-miR-200c, is an independent prognostic factor in pancreatic cancer and its upregulation inhibits pancreatic cancer invasion but increases cell proliferation in MOLECULAR CANCER
  • 2017-12. HNF4A expression as a potential diagnostic tool to discriminate primary gastric cancer from breast cancer metastasis in a Brazilian cohort in DIAGNOSTIC PATHOLOGY
  • 2015-07. SUZ12 promotes gastric cancer cell proliferation and metastasis by regulating KLF2 and E-cadherin in TUMOR BIOLOGY
  • 2012-12. miR-143 inhibits the metastasis of pancreatic cancer and an associated signaling pathway in TUMOR BIOLOGY
  • 2018-12. Massive mining of publicly available RNA-seq data from human and mouse in NATURE COMMUNICATIONS
  • 2018-08. Sox2 is required for tumor development and cancer cell proliferation in osteosarcoma in ONCOGENE
  • 2006-04. Oncomirs — microRNAs with a role in cancer in NATURE REVIEWS CANCER
  • 2017-03-09. TRIB2 confers resistance to anti-cancer therapy by activating the serine/threonine protein kinase AKT in NATURE COMMUNICATIONS
  • 2015-12. Biological roles of CCAAT/Enhancer-binding protein delta during inflammation in JOURNAL OF BIOMEDICAL SCIENCE
  • 2015-04. The ets transcription factor Fli-1 in development, cancer and disease in ONCOGENE
  • 2014-12. miRNAs can be generally associated with human pathologies as exemplified for miR-144* in BMC MEDICINE
  • 2012-12. Role of p63 in Development, Tumorigenesis and Cancer Progression in CANCER MICROENVIRONMENT
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/s41598-018-36328-w

    DOI

    http://dx.doi.org/10.1038/s41598-018-36328-w

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1111333452

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30644396


    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": "Beth Israel Deaconess Medical Center", 
              "id": "https://www.grid.ac/institutes/grid.239395.7", 
              "name": [
                "BIDMC Genomics, Proteomics, Bioinformatics and Systems Biology Center, Beth Israel Deaconess Medical Center, Boston, MA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Khatri", 
            "givenName": "Indu", 
            "id": "sg:person.01256525332.01", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01256525332.01"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Nebraska Medical Center", 
              "id": "https://www.grid.ac/institutes/grid.266813.8", 
              "name": [
                "Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, Nebraska, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ganguly", 
            "givenName": "Koelina", 
            "id": "sg:person.01020723407.27", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01020723407.27"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Nebraska Medical Center", 
              "id": "https://www.grid.ac/institutes/grid.266813.8", 
              "name": [
                "Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, Nebraska, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Sharma", 
            "givenName": "Sunandini", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Nebraska Medical Center", 
              "id": "https://www.grid.ac/institutes/grid.266813.8", 
              "name": [
                "Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, Nebraska, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Carmicheal", 
            "givenName": "Joseph", 
            "id": "sg:person.015107413201.48", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015107413201.48"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Nebraska Medical Center", 
              "id": "https://www.grid.ac/institutes/grid.266813.8", 
              "name": [
                "Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, Nebraska, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kaur", 
            "givenName": "Sukhwinder", 
            "id": "sg:person.01371564663.04", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01371564663.04"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Nebraska Medical Center", 
              "id": "https://www.grid.ac/institutes/grid.266813.8", 
              "name": [
                "Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, Nebraska, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Batra", 
            "givenName": "Surinder K.", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Beth Israel Deaconess Medical Center", 
              "id": "https://www.grid.ac/institutes/grid.239395.7", 
              "name": [
                "BIDMC Genomics, Proteomics, Bioinformatics and Systems Biology Center, Beth Israel Deaconess Medical Center, Boston, MA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Bhasin", 
            "givenName": "Manoj K.", 
            "id": "sg:person.015664264457.08", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015664264457.08"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.7150/jca.6554", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001599690"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nm.3686", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002902052", 
              "https://doi.org/10.1038/nm.3686"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12307-012-0116-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003607409", 
              "https://doi.org/10.1007/s12307-012-0116-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13578-016-0121-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003728088", 
              "https://doi.org/10.1186/s13578-016-0121-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13578-016-0121-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003728088", 
              "https://doi.org/10.1186/s13578-016-0121-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.trecan.2015.07.001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004056854"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.gpb.2013.05.007", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004571289"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1200/jco.2005.05.5194", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005024785"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1158/0008-5472.can-07-0563", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005084610"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/30.1.207", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005297170"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btt703", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005363149"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/onc.2013.257", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005574341", 
              "https://doi.org/10.1038/onc.2013.257"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/onc.2013.257", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005574341", 
              "https://doi.org/10.1038/onc.2013.257"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/onc.2014.162", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005920822", 
              "https://doi.org/10.1038/onc.2014.162"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1261/rna.2183803", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007438218"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/17.9.763", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007852323"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s13277-015-3195-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008926386", 
              "https://doi.org/10.1007/s13277-015-3195-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.1422749112", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009656023"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3390/cancers6010436", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010083503"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1373/clinchem.2011.172767", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012621233"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btq466", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012712843"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1476-4598-9-169", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012909643", 
              "https://doi.org/10.1186/1476-4598-9-169"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1158/1078-0432.ccr-12-1379", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014840023"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkv007", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016098431"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0034151", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022304662"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s13277-012-0446-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022712735", 
              "https://doi.org/10.1007/s13277-012-0446-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.0705505104", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022728106"
            ], 
            "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": "sg:pub.10.1038/sj.leu.2404624", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023765891", 
              "https://doi.org/10.1038/sj.leu.2404624"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gki056", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024241091"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.cels.2015.12.004", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024709936"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.addr.2014.09.006", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025141802"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/carcin/bgi245", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025848726"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/carcin/bgi245", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025848726"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth.1682", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026260931", 
              "https://doi.org/10.1038/nmeth.1682"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2147/ott.s75899", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027410129"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkp427", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027845966"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkp427", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027845966"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0132474", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028522101"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkw377", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029021006"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrc1840", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030226923", 
              "https://doi.org/10.1038/nrc1840"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrc1840", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030226923", 
              "https://doi.org/10.1038/nrc1840"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12916-014-0224-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033063977", 
              "https://doi.org/10.1186/s12916-014-0224-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12916-014-0224-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033063977", 
              "https://doi.org/10.1186/s12916-014-0224-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/srep11450", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033829391", 
              "https://doi.org/10.1038/srep11450"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.tibs.2010.05.003", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034288104"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0073803", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036379703"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/ijc.26466", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037670144"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.0506580102", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037705714"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.0506580102", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037705714"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/carcin/bgq160", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038082313"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.7150/jca.14616", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039215917"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12929-014-0110-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041149482", 
              "https://doi.org/10.1186/s12929-014-0110-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12929-014-0110-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041149482", 
              "https://doi.org/10.1186/s12929-014-0110-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1172/jci64535", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041499818"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btn647", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043301996"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/jcmm.12868", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044744572"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/28.1.316", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048237436"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.18632/oncotarget.11928", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051394543"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.18632/oncotarget.4160", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052752442"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/01621459.1958.10501452", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1058299418"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.122.3168.501", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062466253"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1136/esmoopen-2015-000009", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062812122"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1136/esmoopen-2015-000009", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062812122"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1177/1756283x13478680", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1064076494"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1177/1756283x13478680", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1064076494"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2202/1544-6115.1027", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1069289261"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1077864754", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1079104435", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/1878-0261.12055", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084006313"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/1878-0261.12055", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084006313"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ncomms14687", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084128915", 
              "https://doi.org/10.1038/ncomms14687"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.18632/oncotarget.15993", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084373111"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.18632/oncotarget.16570", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084373681"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1089/omi.2017.0023", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084601761"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13000-017-0635-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1085864000", 
              "https://doi.org/10.1186/s13000-017-0635-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13000-017-0635-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1085864000", 
              "https://doi.org/10.1186/s13000-017-0635-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.canlet.2017.06.023", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1086125698"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.7150/ijbs.20052", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1091013851"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/oncsis.2017.71", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1091079837", 
              "https://doi.org/10.1038/oncsis.2017.71"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3892/ol.2017.7204", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1092289299"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkx1081", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1092364670"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.4062/biomolther.2017.195", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1099769154"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2147/ott.s149833", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1100239363"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3324/haematol.2017.186528", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101699390"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3324/haematol.2017.186528", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101699390"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.cell.2018.03.035", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1103168477"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.cell.2018.03.035", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1103168477"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.cell.2018.03.035", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1103168477"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41467-018-03751-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1103206889", 
              "https://doi.org/10.1038/s41467-018-03751-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ccell.2018.03.022", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1103795478"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ccell.2018.03.022", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1103795478"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41388-018-0292-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1103877244", 
              "https://doi.org/10.1038/s41388-018-0292-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41388-018-0292-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1103877244", 
              "https://doi.org/10.1038/s41388-018-0292-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.18632/oncotarget.25632", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1105161038"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3892/ijo.2018.4516", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1106025921"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2019-12", 
        "datePublishedReg": "2019-12-01", 
        "description": "Pancreatic ductal adenocarcinoma (PDAC) is a lethal malignancy with a 5-year survival rate of <8%. Its dismal prognosis stems from inefficient therapeutic modalities owing to the lack of understanding about pancreatic cancer pathogenesis. Considering the molecular complexity and heterogeneity of PDAC, identification of novel molecular contributors involved in PDAC onset and progression using global \"omics\" analysis will pave the way to improved strategies for disease prevention and therapeutic targeting. Meta-analysis of multiple miRNA microarray datasets containing healthy controls (HC), chronic pancreatitis (CP) and PDAC cases, identified 13 miRNAs involved in the progression of PDAC. These miRNAs showed dysregulation in both tissue as well as blood samples, along with progressive decrease in expression from HC to CP to PDAC. Gene-miRNA interaction analysis further elucidated 5 miRNAs (29a/b, 27a, 130b and 148a) that are significantly downregulated in conjunction with concomitant upregulation of their target genes throughout PDAC progression. Among these, miRNA-29a/b targeted genes were found to be most significantly altered in comparative profiling of HC, CP and PDAC, indicating its involvement in malignant evolution. Further, pathway analysis suggested direct involvement of miRNA-29a/b in downregulating the key pathways associated with PDAC development and metastasis including focal adhesion signaling and extracellular matrix organization. Our systems biology data analysis, in combination with real-time PCR validation indicates direct functional involvement of miRNA-29a in PDAC progression and is a potential prognostic marker and therapeutic candidate for patients with progressive disease.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1038/s41598-018-36328-w", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": true, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.6803751", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.5124491", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.2440225", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.6617494", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.3806992", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.5124949", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": [
          {
            "id": "sg:journal.1045337", 
            "issn": [
              "2045-2322"
            ], 
            "name": "Scientific Reports", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "9"
          }
        ], 
        "name": "Systems Biology Approach to Identify Novel Genomic Determinants for Pancreatic Cancer Pathogenesis", 
        "pagination": "123", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "c4425cdf6671f53f9d22d91d027cf3574308f9b49ef7a0f41819c24488df5440"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "30644396"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "101563288"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1038/s41598-018-36328-w"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1111333452"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1038/s41598-018-36328-w", 
          "https://app.dimensions.ai/details/publication/pub.1111333452"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T09:09", 
        "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/v90/0000000338_0000000338/records_47966_00000002.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://www.nature.com/articles/s41598-018-36328-w"
      }
    ]
     

    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/s41598-018-36328-w'

    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/s41598-018-36328-w'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-36328-w'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-36328-w'


     

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

    377 TRIPLES      21 PREDICATES      108 URIs      21 LITERALS      9 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1038/s41598-018-36328-w schema:about anzsrc-for:11
    2 anzsrc-for:1112
    3 schema:author N586d489e9f8e413387411d75b319ea5f
    4 schema:citation sg:pub.10.1007/s12307-012-0116-9
    5 sg:pub.10.1007/s13277-012-0446-8
    6 sg:pub.10.1007/s13277-015-3195-7
    7 sg:pub.10.1038/ncomms14687
    8 sg:pub.10.1038/nm.3686
    9 sg:pub.10.1038/nmeth.1682
    10 sg:pub.10.1038/nrc1840
    11 sg:pub.10.1038/onc.2013.257
    12 sg:pub.10.1038/onc.2014.162
    13 sg:pub.10.1038/oncsis.2017.71
    14 sg:pub.10.1038/s41388-018-0292-2
    15 sg:pub.10.1038/s41467-018-03751-6
    16 sg:pub.10.1038/sj.leu.2404624
    17 sg:pub.10.1038/srep11450
    18 sg:pub.10.1186/1476-4598-9-169
    19 sg:pub.10.1186/s12916-014-0224-0
    20 sg:pub.10.1186/s12929-014-0110-2
    21 sg:pub.10.1186/s13000-017-0635-2
    22 sg:pub.10.1186/s13578-016-0121-7
    23 https://app.dimensions.ai/details/publication/pub.1077864754
    24 https://app.dimensions.ai/details/publication/pub.1079104435
    25 https://doi.org/10.1002/1878-0261.12055
    26 https://doi.org/10.1002/ijc.26466
    27 https://doi.org/10.1016/j.addr.2014.09.006
    28 https://doi.org/10.1016/j.canlet.2017.06.023
    29 https://doi.org/10.1016/j.ccell.2018.03.022
    30 https://doi.org/10.1016/j.cell.2009.01.002
    31 https://doi.org/10.1016/j.cell.2018.03.035
    32 https://doi.org/10.1016/j.cels.2015.12.004
    33 https://doi.org/10.1016/j.gpb.2013.05.007
    34 https://doi.org/10.1016/j.tibs.2010.05.003
    35 https://doi.org/10.1016/j.trecan.2015.07.001
    36 https://doi.org/10.1073/pnas.0506580102
    37 https://doi.org/10.1073/pnas.0705505104
    38 https://doi.org/10.1073/pnas.1422749112
    39 https://doi.org/10.1080/01621459.1958.10501452
    40 https://doi.org/10.1089/omi.2017.0023
    41 https://doi.org/10.1093/bioinformatics/17.9.763
    42 https://doi.org/10.1093/bioinformatics/btn647
    43 https://doi.org/10.1093/bioinformatics/btq466
    44 https://doi.org/10.1093/bioinformatics/btt703
    45 https://doi.org/10.1093/carcin/bgi245
    46 https://doi.org/10.1093/carcin/bgq160
    47 https://doi.org/10.1093/nar/28.1.316
    48 https://doi.org/10.1093/nar/30.1.207
    49 https://doi.org/10.1093/nar/gki056
    50 https://doi.org/10.1093/nar/gkp427
    51 https://doi.org/10.1093/nar/gkv007
    52 https://doi.org/10.1093/nar/gkw377
    53 https://doi.org/10.1093/nar/gkx1081
    54 https://doi.org/10.1111/jcmm.12868
    55 https://doi.org/10.1126/science.122.3168.501
    56 https://doi.org/10.1136/esmoopen-2015-000009
    57 https://doi.org/10.1158/0008-5472.can-07-0563
    58 https://doi.org/10.1158/1078-0432.ccr-12-1379
    59 https://doi.org/10.1172/jci64535
    60 https://doi.org/10.1177/1756283x13478680
    61 https://doi.org/10.1200/jco.2005.05.5194
    62 https://doi.org/10.1261/rna.2183803
    63 https://doi.org/10.1371/journal.pone.0034151
    64 https://doi.org/10.1371/journal.pone.0073803
    65 https://doi.org/10.1371/journal.pone.0132474
    66 https://doi.org/10.1373/clinchem.2011.172767
    67 https://doi.org/10.18632/oncotarget.11928
    68 https://doi.org/10.18632/oncotarget.15993
    69 https://doi.org/10.18632/oncotarget.16570
    70 https://doi.org/10.18632/oncotarget.25632
    71 https://doi.org/10.18632/oncotarget.4160
    72 https://doi.org/10.2147/ott.s149833
    73 https://doi.org/10.2147/ott.s75899
    74 https://doi.org/10.2202/1544-6115.1027
    75 https://doi.org/10.3324/haematol.2017.186528
    76 https://doi.org/10.3390/cancers6010436
    77 https://doi.org/10.3892/ijo.2018.4516
    78 https://doi.org/10.3892/ol.2017.7204
    79 https://doi.org/10.4062/biomolther.2017.195
    80 https://doi.org/10.7150/ijbs.20052
    81 https://doi.org/10.7150/jca.14616
    82 https://doi.org/10.7150/jca.6554
    83 schema:datePublished 2019-12
    84 schema:datePublishedReg 2019-12-01
    85 schema:description Pancreatic ductal adenocarcinoma (PDAC) is a lethal malignancy with a 5-year survival rate of <8%. Its dismal prognosis stems from inefficient therapeutic modalities owing to the lack of understanding about pancreatic cancer pathogenesis. Considering the molecular complexity and heterogeneity of PDAC, identification of novel molecular contributors involved in PDAC onset and progression using global "omics" analysis will pave the way to improved strategies for disease prevention and therapeutic targeting. Meta-analysis of multiple miRNA microarray datasets containing healthy controls (HC), chronic pancreatitis (CP) and PDAC cases, identified 13 miRNAs involved in the progression of PDAC. These miRNAs showed dysregulation in both tissue as well as blood samples, along with progressive decrease in expression from HC to CP to PDAC. Gene-miRNA interaction analysis further elucidated 5 miRNAs (29a/b, 27a, 130b and 148a) that are significantly downregulated in conjunction with concomitant upregulation of their target genes throughout PDAC progression. Among these, miRNA-29a/b targeted genes were found to be most significantly altered in comparative profiling of HC, CP and PDAC, indicating its involvement in malignant evolution. Further, pathway analysis suggested direct involvement of miRNA-29a/b in downregulating the key pathways associated with PDAC development and metastasis including focal adhesion signaling and extracellular matrix organization. Our systems biology data analysis, in combination with real-time PCR validation indicates direct functional involvement of miRNA-29a in PDAC progression and is a potential prognostic marker and therapeutic candidate for patients with progressive disease.
    86 schema:genre research_article
    87 schema:inLanguage en
    88 schema:isAccessibleForFree true
    89 schema:isPartOf N2f8b4faeb42d4d6dbe6ae0d156fe67c4
    90 Nb0eb7279a4ec4bcfb9010d3514aecc67
    91 sg:journal.1045337
    92 schema:name Systems Biology Approach to Identify Novel Genomic Determinants for Pancreatic Cancer Pathogenesis
    93 schema:pagination 123
    94 schema:productId N2235955d13ed40c38335aae7986fa633
    95 N37b052094b0c442a811a7c6f068d24d3
    96 N37de7e32840341ada793d5a339686411
    97 N678594c68c4849ec837e97c86e620bc2
    98 Nf936d21c732641cab87218268ed895c6
    99 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111333452
    100 https://doi.org/10.1038/s41598-018-36328-w
    101 schema:sdDatePublished 2019-04-11T09:09
    102 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    103 schema:sdPublisher Naa0c60f08be54750b7f3104469b3965c
    104 schema:url https://www.nature.com/articles/s41598-018-36328-w
    105 sgo:license sg:explorer/license/
    106 sgo:sdDataset articles
    107 rdf:type schema:ScholarlyArticle
    108 N1d7b7a4f8cf5435f9ef7bd860eefa73f schema:affiliation https://www.grid.ac/institutes/grid.266813.8
    109 schema:familyName Batra
    110 schema:givenName Surinder K.
    111 rdf:type schema:Person
    112 N1ef9415416994affbc65eb997c0530fb rdf:first sg:person.01020723407.27
    113 rdf:rest N44da007d0e0447d8b4979f2476c982d8
    114 N2235955d13ed40c38335aae7986fa633 schema:name doi
    115 schema:value 10.1038/s41598-018-36328-w
    116 rdf:type schema:PropertyValue
    117 N2f8b4faeb42d4d6dbe6ae0d156fe67c4 schema:volumeNumber 9
    118 rdf:type schema:PublicationVolume
    119 N3711ad12198f4958b2f43b5d635195da rdf:first sg:person.01371564663.04
    120 rdf:rest N81dd6562c1234cd7a7b0750b35d21887
    121 N37b052094b0c442a811a7c6f068d24d3 schema:name readcube_id
    122 schema:value c4425cdf6671f53f9d22d91d027cf3574308f9b49ef7a0f41819c24488df5440
    123 rdf:type schema:PropertyValue
    124 N37de7e32840341ada793d5a339686411 schema:name pubmed_id
    125 schema:value 30644396
    126 rdf:type schema:PropertyValue
    127 N44da007d0e0447d8b4979f2476c982d8 rdf:first N67292760d507418eb170506b0dfc2abe
    128 rdf:rest N4ce340263f5b4ddaa3368be93f27f8d8
    129 N4ce340263f5b4ddaa3368be93f27f8d8 rdf:first sg:person.015107413201.48
    130 rdf:rest N3711ad12198f4958b2f43b5d635195da
    131 N586d489e9f8e413387411d75b319ea5f rdf:first sg:person.01256525332.01
    132 rdf:rest N1ef9415416994affbc65eb997c0530fb
    133 N67292760d507418eb170506b0dfc2abe schema:affiliation https://www.grid.ac/institutes/grid.266813.8
    134 schema:familyName Sharma
    135 schema:givenName Sunandini
    136 rdf:type schema:Person
    137 N678594c68c4849ec837e97c86e620bc2 schema:name nlm_unique_id
    138 schema:value 101563288
    139 rdf:type schema:PropertyValue
    140 N81dd6562c1234cd7a7b0750b35d21887 rdf:first N1d7b7a4f8cf5435f9ef7bd860eefa73f
    141 rdf:rest N9fd4ee5cbc0c4db5b09318ab84ee60d4
    142 N9fd4ee5cbc0c4db5b09318ab84ee60d4 rdf:first sg:person.015664264457.08
    143 rdf:rest rdf:nil
    144 Naa0c60f08be54750b7f3104469b3965c schema:name Springer Nature - SN SciGraph project
    145 rdf:type schema:Organization
    146 Nb0eb7279a4ec4bcfb9010d3514aecc67 schema:issueNumber 1
    147 rdf:type schema:PublicationIssue
    148 Nf936d21c732641cab87218268ed895c6 schema:name dimensions_id
    149 schema:value pub.1111333452
    150 rdf:type schema:PropertyValue
    151 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
    152 schema:name Medical and Health Sciences
    153 rdf:type schema:DefinedTerm
    154 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
    155 schema:name Oncology and Carcinogenesis
    156 rdf:type schema:DefinedTerm
    157 sg:grant.2440225 http://pending.schema.org/fundedItem sg:pub.10.1038/s41598-018-36328-w
    158 rdf:type schema:MonetaryGrant
    159 sg:grant.3806992 http://pending.schema.org/fundedItem sg:pub.10.1038/s41598-018-36328-w
    160 rdf:type schema:MonetaryGrant
    161 sg:grant.5124491 http://pending.schema.org/fundedItem sg:pub.10.1038/s41598-018-36328-w
    162 rdf:type schema:MonetaryGrant
    163 sg:grant.5124949 http://pending.schema.org/fundedItem sg:pub.10.1038/s41598-018-36328-w
    164 rdf:type schema:MonetaryGrant
    165 sg:grant.6617494 http://pending.schema.org/fundedItem sg:pub.10.1038/s41598-018-36328-w
    166 rdf:type schema:MonetaryGrant
    167 sg:grant.6803751 http://pending.schema.org/fundedItem sg:pub.10.1038/s41598-018-36328-w
    168 rdf:type schema:MonetaryGrant
    169 sg:journal.1045337 schema:issn 2045-2322
    170 schema:name Scientific Reports
    171 rdf:type schema:Periodical
    172 sg:person.01020723407.27 schema:affiliation https://www.grid.ac/institutes/grid.266813.8
    173 schema:familyName Ganguly
    174 schema:givenName Koelina
    175 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01020723407.27
    176 rdf:type schema:Person
    177 sg:person.01256525332.01 schema:affiliation https://www.grid.ac/institutes/grid.239395.7
    178 schema:familyName Khatri
    179 schema:givenName Indu
    180 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01256525332.01
    181 rdf:type schema:Person
    182 sg:person.01371564663.04 schema:affiliation https://www.grid.ac/institutes/grid.266813.8
    183 schema:familyName Kaur
    184 schema:givenName Sukhwinder
    185 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01371564663.04
    186 rdf:type schema:Person
    187 sg:person.015107413201.48 schema:affiliation https://www.grid.ac/institutes/grid.266813.8
    188 schema:familyName Carmicheal
    189 schema:givenName Joseph
    190 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015107413201.48
    191 rdf:type schema:Person
    192 sg:person.015664264457.08 schema:affiliation https://www.grid.ac/institutes/grid.239395.7
    193 schema:familyName Bhasin
    194 schema:givenName Manoj K.
    195 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015664264457.08
    196 rdf:type schema:Person
    197 sg:pub.10.1007/s12307-012-0116-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003607409
    198 https://doi.org/10.1007/s12307-012-0116-9
    199 rdf:type schema:CreativeWork
    200 sg:pub.10.1007/s13277-012-0446-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022712735
    201 https://doi.org/10.1007/s13277-012-0446-8
    202 rdf:type schema:CreativeWork
    203 sg:pub.10.1007/s13277-015-3195-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008926386
    204 https://doi.org/10.1007/s13277-015-3195-7
    205 rdf:type schema:CreativeWork
    206 sg:pub.10.1038/ncomms14687 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084128915
    207 https://doi.org/10.1038/ncomms14687
    208 rdf:type schema:CreativeWork
    209 sg:pub.10.1038/nm.3686 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002902052
    210 https://doi.org/10.1038/nm.3686
    211 rdf:type schema:CreativeWork
    212 sg:pub.10.1038/nmeth.1682 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026260931
    213 https://doi.org/10.1038/nmeth.1682
    214 rdf:type schema:CreativeWork
    215 sg:pub.10.1038/nrc1840 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030226923
    216 https://doi.org/10.1038/nrc1840
    217 rdf:type schema:CreativeWork
    218 sg:pub.10.1038/onc.2013.257 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005574341
    219 https://doi.org/10.1038/onc.2013.257
    220 rdf:type schema:CreativeWork
    221 sg:pub.10.1038/onc.2014.162 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005920822
    222 https://doi.org/10.1038/onc.2014.162
    223 rdf:type schema:CreativeWork
    224 sg:pub.10.1038/oncsis.2017.71 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091079837
    225 https://doi.org/10.1038/oncsis.2017.71
    226 rdf:type schema:CreativeWork
    227 sg:pub.10.1038/s41388-018-0292-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103877244
    228 https://doi.org/10.1038/s41388-018-0292-2
    229 rdf:type schema:CreativeWork
    230 sg:pub.10.1038/s41467-018-03751-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103206889
    231 https://doi.org/10.1038/s41467-018-03751-6
    232 rdf:type schema:CreativeWork
    233 sg:pub.10.1038/sj.leu.2404624 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023765891
    234 https://doi.org/10.1038/sj.leu.2404624
    235 rdf:type schema:CreativeWork
    236 sg:pub.10.1038/srep11450 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033829391
    237 https://doi.org/10.1038/srep11450
    238 rdf:type schema:CreativeWork
    239 sg:pub.10.1186/1476-4598-9-169 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012909643
    240 https://doi.org/10.1186/1476-4598-9-169
    241 rdf:type schema:CreativeWork
    242 sg:pub.10.1186/s12916-014-0224-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033063977
    243 https://doi.org/10.1186/s12916-014-0224-0
    244 rdf:type schema:CreativeWork
    245 sg:pub.10.1186/s12929-014-0110-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041149482
    246 https://doi.org/10.1186/s12929-014-0110-2
    247 rdf:type schema:CreativeWork
    248 sg:pub.10.1186/s13000-017-0635-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085864000
    249 https://doi.org/10.1186/s13000-017-0635-2
    250 rdf:type schema:CreativeWork
    251 sg:pub.10.1186/s13578-016-0121-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003728088
    252 https://doi.org/10.1186/s13578-016-0121-7
    253 rdf:type schema:CreativeWork
    254 https://app.dimensions.ai/details/publication/pub.1077864754 schema:CreativeWork
    255 https://app.dimensions.ai/details/publication/pub.1079104435 schema:CreativeWork
    256 https://doi.org/10.1002/1878-0261.12055 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084006313
    257 rdf:type schema:CreativeWork
    258 https://doi.org/10.1002/ijc.26466 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037670144
    259 rdf:type schema:CreativeWork
    260 https://doi.org/10.1016/j.addr.2014.09.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025141802
    261 rdf:type schema:CreativeWork
    262 https://doi.org/10.1016/j.canlet.2017.06.023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1086125698
    263 rdf:type schema:CreativeWork
    264 https://doi.org/10.1016/j.ccell.2018.03.022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103795478
    265 rdf:type schema:CreativeWork
    266 https://doi.org/10.1016/j.cell.2009.01.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023682432
    267 rdf:type schema:CreativeWork
    268 https://doi.org/10.1016/j.cell.2018.03.035 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103168477
    269 rdf:type schema:CreativeWork
    270 https://doi.org/10.1016/j.cels.2015.12.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024709936
    271 rdf:type schema:CreativeWork
    272 https://doi.org/10.1016/j.gpb.2013.05.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004571289
    273 rdf:type schema:CreativeWork
    274 https://doi.org/10.1016/j.tibs.2010.05.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034288104
    275 rdf:type schema:CreativeWork
    276 https://doi.org/10.1016/j.trecan.2015.07.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004056854
    277 rdf:type schema:CreativeWork
    278 https://doi.org/10.1073/pnas.0506580102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037705714
    279 rdf:type schema:CreativeWork
    280 https://doi.org/10.1073/pnas.0705505104 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022728106
    281 rdf:type schema:CreativeWork
    282 https://doi.org/10.1073/pnas.1422749112 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009656023
    283 rdf:type schema:CreativeWork
    284 https://doi.org/10.1080/01621459.1958.10501452 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058299418
    285 rdf:type schema:CreativeWork
    286 https://doi.org/10.1089/omi.2017.0023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084601761
    287 rdf:type schema:CreativeWork
    288 https://doi.org/10.1093/bioinformatics/17.9.763 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007852323
    289 rdf:type schema:CreativeWork
    290 https://doi.org/10.1093/bioinformatics/btn647 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043301996
    291 rdf:type schema:CreativeWork
    292 https://doi.org/10.1093/bioinformatics/btq466 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012712843
    293 rdf:type schema:CreativeWork
    294 https://doi.org/10.1093/bioinformatics/btt703 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005363149
    295 rdf:type schema:CreativeWork
    296 https://doi.org/10.1093/carcin/bgi245 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025848726
    297 rdf:type schema:CreativeWork
    298 https://doi.org/10.1093/carcin/bgq160 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038082313
    299 rdf:type schema:CreativeWork
    300 https://doi.org/10.1093/nar/28.1.316 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048237436
    301 rdf:type schema:CreativeWork
    302 https://doi.org/10.1093/nar/30.1.207 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005297170
    303 rdf:type schema:CreativeWork
    304 https://doi.org/10.1093/nar/gki056 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024241091
    305 rdf:type schema:CreativeWork
    306 https://doi.org/10.1093/nar/gkp427 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027845966
    307 rdf:type schema:CreativeWork
    308 https://doi.org/10.1093/nar/gkv007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016098431
    309 rdf:type schema:CreativeWork
    310 https://doi.org/10.1093/nar/gkw377 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029021006
    311 rdf:type schema:CreativeWork
    312 https://doi.org/10.1093/nar/gkx1081 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092364670
    313 rdf:type schema:CreativeWork
    314 https://doi.org/10.1111/jcmm.12868 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044744572
    315 rdf:type schema:CreativeWork
    316 https://doi.org/10.1126/science.122.3168.501 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062466253
    317 rdf:type schema:CreativeWork
    318 https://doi.org/10.1136/esmoopen-2015-000009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062812122
    319 rdf:type schema:CreativeWork
    320 https://doi.org/10.1158/0008-5472.can-07-0563 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005084610
    321 rdf:type schema:CreativeWork
    322 https://doi.org/10.1158/1078-0432.ccr-12-1379 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014840023
    323 rdf:type schema:CreativeWork
    324 https://doi.org/10.1172/jci64535 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041499818
    325 rdf:type schema:CreativeWork
    326 https://doi.org/10.1177/1756283x13478680 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064076494
    327 rdf:type schema:CreativeWork
    328 https://doi.org/10.1200/jco.2005.05.5194 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005024785
    329 rdf:type schema:CreativeWork
    330 https://doi.org/10.1261/rna.2183803 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007438218
    331 rdf:type schema:CreativeWork
    332 https://doi.org/10.1371/journal.pone.0034151 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022304662
    333 rdf:type schema:CreativeWork
    334 https://doi.org/10.1371/journal.pone.0073803 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036379703
    335 rdf:type schema:CreativeWork
    336 https://doi.org/10.1371/journal.pone.0132474 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028522101
    337 rdf:type schema:CreativeWork
    338 https://doi.org/10.1373/clinchem.2011.172767 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012621233
    339 rdf:type schema:CreativeWork
    340 https://doi.org/10.18632/oncotarget.11928 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051394543
    341 rdf:type schema:CreativeWork
    342 https://doi.org/10.18632/oncotarget.15993 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084373111
    343 rdf:type schema:CreativeWork
    344 https://doi.org/10.18632/oncotarget.16570 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084373681
    345 rdf:type schema:CreativeWork
    346 https://doi.org/10.18632/oncotarget.25632 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105161038
    347 rdf:type schema:CreativeWork
    348 https://doi.org/10.18632/oncotarget.4160 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052752442
    349 rdf:type schema:CreativeWork
    350 https://doi.org/10.2147/ott.s149833 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100239363
    351 rdf:type schema:CreativeWork
    352 https://doi.org/10.2147/ott.s75899 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027410129
    353 rdf:type schema:CreativeWork
    354 https://doi.org/10.2202/1544-6115.1027 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069289261
    355 rdf:type schema:CreativeWork
    356 https://doi.org/10.3324/haematol.2017.186528 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101699390
    357 rdf:type schema:CreativeWork
    358 https://doi.org/10.3390/cancers6010436 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010083503
    359 rdf:type schema:CreativeWork
    360 https://doi.org/10.3892/ijo.2018.4516 schema:sameAs https://app.dimensions.ai/details/publication/pub.1106025921
    361 rdf:type schema:CreativeWork
    362 https://doi.org/10.3892/ol.2017.7204 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092289299
    363 rdf:type schema:CreativeWork
    364 https://doi.org/10.4062/biomolther.2017.195 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099769154
    365 rdf:type schema:CreativeWork
    366 https://doi.org/10.7150/ijbs.20052 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091013851
    367 rdf:type schema:CreativeWork
    368 https://doi.org/10.7150/jca.14616 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039215917
    369 rdf:type schema:CreativeWork
    370 https://doi.org/10.7150/jca.6554 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001599690
    371 rdf:type schema:CreativeWork
    372 https://www.grid.ac/institutes/grid.239395.7 schema:alternateName Beth Israel Deaconess Medical Center
    373 schema:name BIDMC Genomics, Proteomics, Bioinformatics and Systems Biology Center, Beth Israel Deaconess Medical Center, Boston, MA, USA
    374 rdf:type schema:Organization
    375 https://www.grid.ac/institutes/grid.266813.8 schema:alternateName University of Nebraska Medical Center
    376 schema:name Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, Nebraska, USA
    377 rdf:type schema:Organization
     




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


    ...