Differentially Expressed miRNAs Influence Metabolic Processes in Pituitary Oncocytoma. View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-04-03

AUTHORS

Lilla Krokker, Gábor Nyírő, Lilla Reiniger, Ottó Darvasi, Nikolette Szücs, Sándor Czirják, Miklós Tóth, Péter Igaz, Attila Patócs, Henriett Butz

ABSTRACT

Spindle cell oncocytomas (SCO) of the pituitary are rare tumors accounting for 0.1-0.4% of all sellar tumors. Due to their rarity, little information is available regarding their pathogenesis. Our aim was to investigate miRNA expression profile of pituitary oncocytomas. Total RNA was extracted from 9 formalin-fixed paraffin embedded pituitary samples (4 primary, 3 recurrent oncocytomas and 2 normal tissues). Next-generation sequencing was performed for miRNA profiling. Transcriptome data of additional 6 samples' were obtained from NBCI GEO database for gene expression reanalysis and tissue-specific target prediction. Bioinformatical analysis, in vitro miRNA mimics transfection, luciferase reporter system and AlamarBlue assay were applied to characterize miRNA's function. 54 differentially expressed miRNAs and 485 genes in pituitary SCO vs. normal tissue and 8 miRNAs in recurrent vs. primary SCO were determined. Global miRNA downregulation and decreased level of DROSHA were detected in SCO samples vs. normal tissue. Transcriptome analysis revealed cell cycle alterations while miRNAs influenced mainly metabolic processes (tricarboxylic acid cycle-TCA, carbohydrate, lipid metabolism). Through miRNA-target interaction network the overexpressed Aconitase 2 potentially targeted by two downregulated miRNAs (miR-744-5p, miR-127-3p) was revealed. ACO2 and miR-744-5p interaction was validated by luciferase assay. MiR-127-3p and miR-744-5p significantly decreased cell proliferation in vitro. Our study firstly reported miRNA profile of pituitary oncocytoma. Our results suggest that tumor suppressor miRNAs may have an essential role in the pathogenesis of pituitary oncocytoma. Earlier reports showed downregulated TCA cycle in SCO which is extended by our results adding the role of miR-744-5p targeting ACO2. More... »

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11064-019-02789-2

DOI

http://dx.doi.org/10.1007/s11064-019-02789-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1113182514

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30945144


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": "Semmelweis University", 
          "id": "https://www.grid.ac/institutes/grid.11804.3c", 
          "name": [
            "Momentum Hereditary Endocrine Tumours Research Group, Semmelweis University, 46 Szentkiralyi Street, Budapest, 1088, Hungary.", 
            "2nd Department of Internal Medicine, Semmelweis University, Budapest, Hungary."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Krokker", 
        "givenName": "Lilla", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Semmelweis University", 
          "id": "https://www.grid.ac/institutes/grid.11804.3c", 
          "name": [
            "MTA-SE Molecular Medicine Research Group, Hungarian Academy of Sciences and Semmelweis University, Budapest, Hungary."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ny\u00edr\u0151", 
        "givenName": "G\u00e1bor", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Semmelweis University", 
          "id": "https://www.grid.ac/institutes/grid.11804.3c", 
          "name": [
            "1st Department of Pathology and Experimental Cancer Research, Semmelweis University, Budapest, Hungary."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Reiniger", 
        "givenName": "Lilla", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Semmelweis University", 
          "id": "https://www.grid.ac/institutes/grid.11804.3c", 
          "name": [
            "Momentum Hereditary Endocrine Tumours Research Group, Semmelweis University, 46 Szentkiralyi Street, Budapest, 1088, Hungary."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Darvasi", 
        "givenName": "Ott\u00f3", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Semmelweis University", 
          "id": "https://www.grid.ac/institutes/grid.11804.3c", 
          "name": [
            "2nd Department of Internal Medicine, Semmelweis University, Budapest, Hungary."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sz\u00fccs", 
        "givenName": "Nikolette", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Orsz\u00e1gos Idegseb\u00e9szeti Tudom\u00e1nyos Int\u00e9zet", 
          "id": "https://www.grid.ac/institutes/grid.419605.f", 
          "name": [
            "National Institute of Clinical Neurosciences, Budapest, Hungary."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Czirj\u00e1k", 
        "givenName": "S\u00e1ndor", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Semmelweis University", 
          "id": "https://www.grid.ac/institutes/grid.11804.3c", 
          "name": [
            "2nd Department of Internal Medicine, Semmelweis University, Budapest, Hungary."
          ], 
          "type": "Organization"
        }, 
        "familyName": "T\u00f3th", 
        "givenName": "Mikl\u00f3s", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Semmelweis University", 
          "id": "https://www.grid.ac/institutes/grid.11804.3c", 
          "name": [
            "2nd Department of Internal Medicine, Semmelweis University, Budapest, Hungary.", 
            "MTA-SE Molecular Medicine Research Group, Hungarian Academy of Sciences and Semmelweis University, Budapest, Hungary."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Igaz", 
        "givenName": "P\u00e9ter", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Semmelweis University", 
          "id": "https://www.grid.ac/institutes/grid.11804.3c", 
          "name": [
            "Momentum Hereditary Endocrine Tumours Research Group, Semmelweis University, 46 Szentkiralyi Street, Budapest, 1088, Hungary.", 
            "Department of Laboratory Medicine, Semmelweis University, Budapest, Hungary."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pat\u00f3cs", 
        "givenName": "Attila", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Semmelweis University", 
          "id": "https://www.grid.ac/institutes/grid.11804.3c", 
          "name": [
            "Momentum Hereditary Endocrine Tumours Research Group, Semmelweis University, 46 Szentkiralyi Street, Budapest, 1088, Hungary. butz.henriett@med.semmelweis-univ.hu.", 
            "Department of Laboratory Medicine, Semmelweis University, Budapest, Hungary. butz.henriett@med.semmelweis-univ.hu."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Butz", 
        "givenName": "Henriett", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.18632/oncotarget.9244", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000425385"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0142122", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001570717"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biocel.2015.01.023", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004242284"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11102-010-0268-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008472938", 
          "https://doi.org/10.1007/s11102-010-0268-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cncr.20412", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008520581"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cmet.2009.08.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012146590"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12957-015-0655-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015413042", 
          "https://doi.org/10.1186/s12957-015-0655-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12957-015-0655-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015413042", 
          "https://doi.org/10.1186/s12957-015-0655-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ajhg.2012.01.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017929343"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/jmedgenet-2014-102532", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018277050"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.tig.2008.05.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020803699"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.271.51.32529", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020873661"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1530/jme-13-0090", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021924961"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jcp.20832", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024402600"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4103/2230-8210.113778", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029642384"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4103/2230-8210.113778", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029642384"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3174/ajnr.a2717", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033307092"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.molmed.2014.06.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033358672"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/hmg/dds422", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034724718"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12860-015-0062-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037096553", 
          "https://doi.org/10.1186/s12860-015-0062-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12860-015-0062-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037096553", 
          "https://doi.org/10.1186/s12860-015-0062-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01406745", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046186828", 
          "https://doi.org/10.1007/bf01406745"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01406745", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046186828", 
          "https://doi.org/10.1007/bf01406745"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12032-013-0552-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047659046", 
          "https://doi.org/10.1007/s12032-013-0552-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1159/000430309", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047955082"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bib/bbv019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050028124"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkw177", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052156634"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ajpath.2011.07.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053259706"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/15384101.2015.1064207", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058401977"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/1078-0432.ccr-16-0452", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063225389"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3892/or.2014.3055", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071532953"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3892/or.2014.3055", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071532953"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1078239084", 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12022-017-9498-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090934504", 
          "https://doi.org/10.1007/s12022-017-9498-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12022-017-9498-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090934504", 
          "https://doi.org/10.1007/s12022-017-9498-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.12659/ajcr.903702", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091248457"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3892/mmr.2017.8207", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1099761107"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1055/s-0043-123763", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100523210"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12943-017-0747-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100621731", 
          "https://doi.org/10.1186/s12943-017-0747-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/s41598-018-27438-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1104468853", 
          "https://doi.org/10.1038/s41598-018-27438-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jlb.3mr0218-079r", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1105269312"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12020-018-1774-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1107349018", 
          "https://doi.org/10.1007/s12020-018-1774-2"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-04-03", 
    "datePublishedReg": "2019-04-03", 
    "description": "Spindle cell oncocytomas (SCO) of the pituitary are rare tumors accounting for 0.1-0.4% of all sellar tumors. Due to their rarity, little information is available regarding their pathogenesis. Our aim was to investigate miRNA expression profile of pituitary oncocytomas. Total RNA was extracted from 9 formalin-fixed paraffin embedded pituitary samples (4 primary, 3 recurrent oncocytomas and 2 normal tissues). Next-generation sequencing was performed for miRNA profiling. Transcriptome data of additional 6 samples' were obtained from NBCI GEO database for gene expression reanalysis and tissue-specific target prediction. Bioinformatical analysis, in vitro miRNA mimics transfection, luciferase reporter system and AlamarBlue assay were applied to characterize miRNA's function. 54 differentially expressed miRNAs and 485 genes in pituitary SCO vs. normal tissue and 8 miRNAs in recurrent vs. primary SCO were determined. Global miRNA downregulation and decreased level of DROSHA were detected in SCO samples vs. normal tissue. Transcriptome analysis revealed cell cycle alterations while miRNAs influenced mainly metabolic processes (tricarboxylic acid cycle-TCA, carbohydrate, lipid metabolism). Through miRNA-target interaction network the overexpressed Aconitase 2 potentially targeted by two downregulated miRNAs (miR-744-5p, miR-127-3p) was revealed. ACO2 and miR-744-5p interaction was validated by luciferase assay. MiR-127-3p and miR-744-5p significantly decreased cell proliferation in vitro. Our study firstly reported miRNA profile of pituitary oncocytoma. Our results suggest that tumor suppressor miRNAs may have an essential role in the pathogenesis of pituitary oncocytoma. Earlier reports showed downregulated TCA cycle in SCO which is extended by our results adding the role of miR-744-5p targeting ACO2.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11064-019-02789-2", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1085962", 
        "issn": [
          "0364-3190", 
          "1573-6903"
        ], 
        "name": "Neurochemical Research", 
        "type": "Periodical"
      }
    ], 
    "name": "Differentially Expressed miRNAs Influence Metabolic Processes in Pituitary Oncocytoma.", 
    "productId": [
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30945144"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "7613461"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11064-019-02789-2"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1113182514"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11064-019-02789-2", 
      "https://app.dimensions.ai/details/publication/pub.1113182514"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T13:54", 
    "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/v90/0000000371_0000000371/records_130808_00000006.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/s11064-019-02789-2"
  }
]
 

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.10.1007/s11064-019-02789-2'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s11064-019-02789-2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11064-019-02789-2'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11064-019-02789-2'


 

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

236 TRIPLES      20 PREDICATES      60 URIs      16 LITERALS      6 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11064-019-02789-2 schema:about anzsrc-for:06
2 anzsrc-for:0604
3 schema:author N08502abc324d43c99e69bcc9409017c7
4 schema:citation sg:pub.10.1007/bf01406745
5 sg:pub.10.1007/s11102-010-0268-x
6 sg:pub.10.1007/s12020-018-1774-2
7 sg:pub.10.1007/s12022-017-9498-z
8 sg:pub.10.1007/s12032-013-0552-5
9 sg:pub.10.1038/s41598-018-27438-6
10 sg:pub.10.1186/s12860-015-0062-8
11 sg:pub.10.1186/s12943-017-0747-z
12 sg:pub.10.1186/s12957-015-0655-x
13 https://app.dimensions.ai/details/publication/pub.1078239084
14 https://doi.org/10.1002/cncr.20412
15 https://doi.org/10.1002/jcp.20832
16 https://doi.org/10.1002/jlb.3mr0218-079r
17 https://doi.org/10.1016/j.ajhg.2012.01.009
18 https://doi.org/10.1016/j.ajpath.2011.07.002
19 https://doi.org/10.1016/j.biocel.2015.01.023
20 https://doi.org/10.1016/j.cmet.2009.08.015
21 https://doi.org/10.1016/j.molmed.2014.06.005
22 https://doi.org/10.1016/j.tig.2008.05.008
23 https://doi.org/10.1055/s-0043-123763
24 https://doi.org/10.1074/jbc.271.51.32529
25 https://doi.org/10.1080/15384101.2015.1064207
26 https://doi.org/10.1093/bib/bbv019
27 https://doi.org/10.1093/hmg/dds422
28 https://doi.org/10.1093/nar/gkw177
29 https://doi.org/10.1136/jmedgenet-2014-102532
30 https://doi.org/10.1158/1078-0432.ccr-16-0452
31 https://doi.org/10.1159/000430309
32 https://doi.org/10.12659/ajcr.903702
33 https://doi.org/10.1371/journal.pone.0142122
34 https://doi.org/10.1530/jme-13-0090
35 https://doi.org/10.18632/oncotarget.9244
36 https://doi.org/10.3174/ajnr.a2717
37 https://doi.org/10.3892/mmr.2017.8207
38 https://doi.org/10.3892/or.2014.3055
39 https://doi.org/10.4103/2230-8210.113778
40 schema:datePublished 2019-04-03
41 schema:datePublishedReg 2019-04-03
42 schema:description Spindle cell oncocytomas (SCO) of the pituitary are rare tumors accounting for 0.1-0.4% of all sellar tumors. Due to their rarity, little information is available regarding their pathogenesis. Our aim was to investigate miRNA expression profile of pituitary oncocytomas. Total RNA was extracted from 9 formalin-fixed paraffin embedded pituitary samples (4 primary, 3 recurrent oncocytomas and 2 normal tissues). Next-generation sequencing was performed for miRNA profiling. Transcriptome data of additional 6 samples' were obtained from NBCI GEO database for gene expression reanalysis and tissue-specific target prediction. Bioinformatical analysis, in vitro miRNA mimics transfection, luciferase reporter system and AlamarBlue assay were applied to characterize miRNA's function. 54 differentially expressed miRNAs and 485 genes in pituitary SCO vs. normal tissue and 8 miRNAs in recurrent vs. primary SCO were determined. Global miRNA downregulation and decreased level of DROSHA were detected in SCO samples vs. normal tissue. Transcriptome analysis revealed cell cycle alterations while miRNAs influenced mainly metabolic processes (tricarboxylic acid cycle-TCA, carbohydrate, lipid metabolism). Through miRNA-target interaction network the overexpressed Aconitase 2 potentially targeted by two downregulated miRNAs (miR-744-5p, miR-127-3p) was revealed. ACO2 and miR-744-5p interaction was validated by luciferase assay. MiR-127-3p and miR-744-5p significantly decreased cell proliferation in vitro. Our study firstly reported miRNA profile of pituitary oncocytoma. Our results suggest that tumor suppressor miRNAs may have an essential role in the pathogenesis of pituitary oncocytoma. Earlier reports showed downregulated TCA cycle in SCO which is extended by our results adding the role of miR-744-5p targeting ACO2.
43 schema:genre research_article
44 schema:inLanguage en
45 schema:isAccessibleForFree false
46 schema:isPartOf sg:journal.1085962
47 schema:name Differentially Expressed miRNAs Influence Metabolic Processes in Pituitary Oncocytoma.
48 schema:productId N4065a25787784b318a9d86acde8103fc
49 N9018dc3b5397442a9e3e263cf8f13054
50 N9d27930f760b4882a2d836f397797b93
51 N9d47697e8bb242e1864a20dc3fb76ceb
52 schema:sameAs https://app.dimensions.ai/details/publication/pub.1113182514
53 https://doi.org/10.1007/s11064-019-02789-2
54 schema:sdDatePublished 2019-04-11T13:54
55 schema:sdLicense https://scigraph.springernature.com/explorer/license/
56 schema:sdPublisher N02691cb8e81f4ff298196ddcf374142a
57 schema:url http://link.springer.com/10.1007/s11064-019-02789-2
58 sgo:license sg:explorer/license/
59 sgo:sdDataset articles
60 rdf:type schema:ScholarlyArticle
61 N02691cb8e81f4ff298196ddcf374142a schema:name Springer Nature - SN SciGraph project
62 rdf:type schema:Organization
63 N08502abc324d43c99e69bcc9409017c7 rdf:first Ne49776f846c74e039286aa852898ef5e
64 rdf:rest N4c53b51f33e4400e938d6773e1f75cc6
65 N1779ff74bf4c46c4be3a7f2f0fc94873 rdf:first N3a166562cec843de8724c3910d3ed279
66 rdf:rest rdf:nil
67 N21f98810bb2543cf94380930a9d55160 schema:affiliation https://www.grid.ac/institutes/grid.11804.3c
68 schema:familyName Nyírő
69 schema:givenName Gábor
70 rdf:type schema:Person
71 N37d226700742433dbf04d0bd2a5d86ba rdf:first Ne0597db72e0a4f3fb5704627cb1e9315
72 rdf:rest N9594cb78e75c43608d1a77169e36862a
73 N3a166562cec843de8724c3910d3ed279 schema:affiliation https://www.grid.ac/institutes/grid.11804.3c
74 schema:familyName Butz
75 schema:givenName Henriett
76 rdf:type schema:Person
77 N4065a25787784b318a9d86acde8103fc schema:name pubmed_id
78 schema:value 30945144
79 rdf:type schema:PropertyValue
80 N462930978c9848b9b3f2696f4558f7cf rdf:first Nf21017a542d246a0bf220c2be37cf16f
81 rdf:rest N5807acd7fcc84ddd99baa5b5e061ae14
82 N4c53b51f33e4400e938d6773e1f75cc6 rdf:first N21f98810bb2543cf94380930a9d55160
83 rdf:rest Nce401d7e77ce46a380598836aa1bf9ab
84 N5807acd7fcc84ddd99baa5b5e061ae14 rdf:first N963aa2e6a8304fbd94ae2ddf8c1c688c
85 rdf:rest N37d226700742433dbf04d0bd2a5d86ba
86 N65fae9adc4334e129b1d0551097b61b8 schema:affiliation https://www.grid.ac/institutes/grid.11804.3c
87 schema:familyName Tóth
88 schema:givenName Miklós
89 rdf:type schema:Person
90 N6d89294e68944517a88db45465d75bc8 rdf:first Nb5f16d112039411d9cbf74deab5a0b46
91 rdf:rest N1779ff74bf4c46c4be3a7f2f0fc94873
92 N9018dc3b5397442a9e3e263cf8f13054 schema:name dimensions_id
93 schema:value pub.1113182514
94 rdf:type schema:PropertyValue
95 N9594cb78e75c43608d1a77169e36862a rdf:first N65fae9adc4334e129b1d0551097b61b8
96 rdf:rest Nd4375d15538a4045bedf4c614246baa8
97 N963aa2e6a8304fbd94ae2ddf8c1c688c schema:affiliation https://www.grid.ac/institutes/grid.11804.3c
98 schema:familyName Szücs
99 schema:givenName Nikolette
100 rdf:type schema:Person
101 N9d27930f760b4882a2d836f397797b93 schema:name nlm_unique_id
102 schema:value 7613461
103 rdf:type schema:PropertyValue
104 N9d47697e8bb242e1864a20dc3fb76ceb schema:name doi
105 schema:value 10.1007/s11064-019-02789-2
106 rdf:type schema:PropertyValue
107 Nb5f16d112039411d9cbf74deab5a0b46 schema:affiliation https://www.grid.ac/institutes/grid.11804.3c
108 schema:familyName Patócs
109 schema:givenName Attila
110 rdf:type schema:Person
111 Nba263abdd4e94f5f95122792b90a438d schema:affiliation https://www.grid.ac/institutes/grid.11804.3c
112 schema:familyName Igaz
113 schema:givenName Péter
114 rdf:type schema:Person
115 Nce401d7e77ce46a380598836aa1bf9ab rdf:first Nd8f5b8217c1f4815b9ce8f0084477fec
116 rdf:rest N462930978c9848b9b3f2696f4558f7cf
117 Nd4375d15538a4045bedf4c614246baa8 rdf:first Nba263abdd4e94f5f95122792b90a438d
118 rdf:rest N6d89294e68944517a88db45465d75bc8
119 Nd8f5b8217c1f4815b9ce8f0084477fec schema:affiliation https://www.grid.ac/institutes/grid.11804.3c
120 schema:familyName Reiniger
121 schema:givenName Lilla
122 rdf:type schema:Person
123 Ne0597db72e0a4f3fb5704627cb1e9315 schema:affiliation https://www.grid.ac/institutes/grid.419605.f
124 schema:familyName Czirják
125 schema:givenName Sándor
126 rdf:type schema:Person
127 Ne49776f846c74e039286aa852898ef5e schema:affiliation https://www.grid.ac/institutes/grid.11804.3c
128 schema:familyName Krokker
129 schema:givenName Lilla
130 rdf:type schema:Person
131 Nf21017a542d246a0bf220c2be37cf16f schema:affiliation https://www.grid.ac/institutes/grid.11804.3c
132 schema:familyName Darvasi
133 schema:givenName Ottó
134 rdf:type schema:Person
135 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
136 schema:name Biological Sciences
137 rdf:type schema:DefinedTerm
138 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
139 schema:name Genetics
140 rdf:type schema:DefinedTerm
141 sg:journal.1085962 schema:issn 0364-3190
142 1573-6903
143 schema:name Neurochemical Research
144 rdf:type schema:Periodical
145 sg:pub.10.1007/bf01406745 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046186828
146 https://doi.org/10.1007/bf01406745
147 rdf:type schema:CreativeWork
148 sg:pub.10.1007/s11102-010-0268-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1008472938
149 https://doi.org/10.1007/s11102-010-0268-x
150 rdf:type schema:CreativeWork
151 sg:pub.10.1007/s12020-018-1774-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1107349018
152 https://doi.org/10.1007/s12020-018-1774-2
153 rdf:type schema:CreativeWork
154 sg:pub.10.1007/s12022-017-9498-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1090934504
155 https://doi.org/10.1007/s12022-017-9498-z
156 rdf:type schema:CreativeWork
157 sg:pub.10.1007/s12032-013-0552-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047659046
158 https://doi.org/10.1007/s12032-013-0552-5
159 rdf:type schema:CreativeWork
160 sg:pub.10.1038/s41598-018-27438-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1104468853
161 https://doi.org/10.1038/s41598-018-27438-6
162 rdf:type schema:CreativeWork
163 sg:pub.10.1186/s12860-015-0062-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037096553
164 https://doi.org/10.1186/s12860-015-0062-8
165 rdf:type schema:CreativeWork
166 sg:pub.10.1186/s12943-017-0747-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1100621731
167 https://doi.org/10.1186/s12943-017-0747-z
168 rdf:type schema:CreativeWork
169 sg:pub.10.1186/s12957-015-0655-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1015413042
170 https://doi.org/10.1186/s12957-015-0655-x
171 rdf:type schema:CreativeWork
172 https://app.dimensions.ai/details/publication/pub.1078239084 schema:CreativeWork
173 https://doi.org/10.1002/cncr.20412 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008520581
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1002/jcp.20832 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024402600
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1002/jlb.3mr0218-079r schema:sameAs https://app.dimensions.ai/details/publication/pub.1105269312
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1016/j.ajhg.2012.01.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017929343
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1016/j.ajpath.2011.07.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053259706
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1016/j.biocel.2015.01.023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004242284
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1016/j.cmet.2009.08.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012146590
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1016/j.molmed.2014.06.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033358672
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1016/j.tig.2008.05.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020803699
190 rdf:type schema:CreativeWork
191 https://doi.org/10.1055/s-0043-123763 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100523210
192 rdf:type schema:CreativeWork
193 https://doi.org/10.1074/jbc.271.51.32529 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020873661
194 rdf:type schema:CreativeWork
195 https://doi.org/10.1080/15384101.2015.1064207 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058401977
196 rdf:type schema:CreativeWork
197 https://doi.org/10.1093/bib/bbv019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050028124
198 rdf:type schema:CreativeWork
199 https://doi.org/10.1093/hmg/dds422 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034724718
200 rdf:type schema:CreativeWork
201 https://doi.org/10.1093/nar/gkw177 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052156634
202 rdf:type schema:CreativeWork
203 https://doi.org/10.1136/jmedgenet-2014-102532 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018277050
204 rdf:type schema:CreativeWork
205 https://doi.org/10.1158/1078-0432.ccr-16-0452 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063225389
206 rdf:type schema:CreativeWork
207 https://doi.org/10.1159/000430309 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047955082
208 rdf:type schema:CreativeWork
209 https://doi.org/10.12659/ajcr.903702 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091248457
210 rdf:type schema:CreativeWork
211 https://doi.org/10.1371/journal.pone.0142122 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001570717
212 rdf:type schema:CreativeWork
213 https://doi.org/10.1530/jme-13-0090 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021924961
214 rdf:type schema:CreativeWork
215 https://doi.org/10.18632/oncotarget.9244 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000425385
216 rdf:type schema:CreativeWork
217 https://doi.org/10.3174/ajnr.a2717 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033307092
218 rdf:type schema:CreativeWork
219 https://doi.org/10.3892/mmr.2017.8207 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099761107
220 rdf:type schema:CreativeWork
221 https://doi.org/10.3892/or.2014.3055 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071532953
222 rdf:type schema:CreativeWork
223 https://doi.org/10.4103/2230-8210.113778 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029642384
224 rdf:type schema:CreativeWork
225 https://www.grid.ac/institutes/grid.11804.3c schema:alternateName Semmelweis University
226 schema:name 1st Department of Pathology and Experimental Cancer Research, Semmelweis University, Budapest, Hungary.
227 2nd Department of Internal Medicine, Semmelweis University, Budapest, Hungary.
228 Department of Laboratory Medicine, Semmelweis University, Budapest, Hungary.
229 Department of Laboratory Medicine, Semmelweis University, Budapest, Hungary. butz.henriett@med.semmelweis-univ.hu.
230 MTA-SE Molecular Medicine Research Group, Hungarian Academy of Sciences and Semmelweis University, Budapest, Hungary.
231 Momentum Hereditary Endocrine Tumours Research Group, Semmelweis University, 46 Szentkiralyi Street, Budapest, 1088, Hungary.
232 Momentum Hereditary Endocrine Tumours Research Group, Semmelweis University, 46 Szentkiralyi Street, Budapest, 1088, Hungary. butz.henriett@med.semmelweis-univ.hu.
233 rdf:type schema:Organization
234 https://www.grid.ac/institutes/grid.419605.f schema:alternateName Országos Idegsebészeti Tudományos Intézet
235 schema:name National Institute of Clinical Neurosciences, Budapest, Hungary.
236 rdf:type schema:Organization
 




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


...