Micro-RNAs involved in cellular proliferation have altered expression profiles in granulosa of young women with diminished ovarian reserve View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-10

AUTHORS

Irene Woo, Lane K. Christenson, Sumedha Gunewardena, Sue Ann Ingles, Semara Thomas, Ali Ahmady, Karine Chung, Kristin Bendikson, Richard Paulson, Lynda K. McGinnis

ABSTRACT

PURPOSE: The study aims to determine differences in micro-RNA (miRNA) expression in granulosa (GC) and cumulus cells (CC) between young women with diminished ovarian reserve (DOR) or normal ovarian reserve (NOR). Secondary objective was to identify downstream signaling pathways that could ultimately indicate causes of lower developmental competence of oocytes from young women with DOR. METHODS: The method of the study is prospective cohort study. RESULTS: Of the miRNA, 125 are differentially expressed in GC between DOR and NOR. Only nine miRNA were different in CC; therefore, we focused analysis on GC. In DOR GC, miR-100-5p, miR-16-5p, miR-30a-3p, and miR-193a-3p were significantly downregulated, while miR-155-5p, miR-192-5p, miR-128-3p, miR-486-5p, miR130a-3p, miR-92a-3p, miR-17-3p, miR-221-3p, and miR-175p were increased. This pattern predicted higher cell proliferation in the DOR GC. The primary pathways include MAPK, Wnt, and TGFbeta. CONCLUSIONS: The miRNA pattern identified critical functions in cell proliferation and survival associated with DOR. GC in women with DOR seems to respond differently to the LH surge. More... »

PAGES

1777-1786

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10815-018-1239-9

DOI

http://dx.doi.org/10.1007/s10815-018-1239-9

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1105427148

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29987422


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/2008/0601", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biochemistry and Cell Biology", 
        "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"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cell Proliferation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cells, Cultured", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cumulus Cells", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Gene Expression Profiling", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Granulosa Cells", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "MicroRNAs", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Ovarian Diseases", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Ovarian Reserve", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prospective Studies", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Southern California", 
          "id": "https://www.grid.ac/institutes/grid.42505.36", 
          "name": [
            "Department of Obstetrics and Gynecology, Division of Reproductive Endocrinology, Keck School of Medicine, University of Southern California, 2020 Zonal Avenue, IRD 534, 90033, Los Angeles, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Woo", 
        "givenName": "Irene", 
        "id": "sg:person.014730475623.41", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014730475623.41"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Kansas Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.412016.0", 
          "name": [
            "Department of Molecular and Integrative Physiology, University of Kansas Medical Center, Kansas City, KS, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Christenson", 
        "givenName": "Lane K.", 
        "id": "sg:person.01101450332.60", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01101450332.60"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Kansas Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.412016.0", 
          "name": [
            "Department of Molecular and Integrative Physiology, University of Kansas Medical Center, Kansas City, KS, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gunewardena", 
        "givenName": "Sumedha", 
        "id": "sg:person.01020412776.84", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01020412776.84"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Southern California", 
          "id": "https://www.grid.ac/institutes/grid.42505.36", 
          "name": [
            "Department of Obstetrics and Gynecology, Division of Reproductive Endocrinology, Keck School of Medicine, University of Southern California, 2020 Zonal Avenue, IRD 534, 90033, Los Angeles, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ingles", 
        "givenName": "Sue Ann", 
        "id": "sg:person.01202315245.46", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01202315245.46"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Southern California", 
          "id": "https://www.grid.ac/institutes/grid.42505.36", 
          "name": [
            "Department of Obstetrics and Gynecology, Division of Reproductive Endocrinology, Keck School of Medicine, University of Southern California, 2020 Zonal Avenue, IRD 534, 90033, Los Angeles, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Thomas", 
        "givenName": "Semara", 
        "id": "sg:person.015222070621.81", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015222070621.81"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Southern California", 
          "id": "https://www.grid.ac/institutes/grid.42505.36", 
          "name": [
            "Department of Obstetrics and Gynecology, Division of Reproductive Endocrinology, Keck School of Medicine, University of Southern California, 2020 Zonal Avenue, IRD 534, 90033, Los Angeles, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ahmady", 
        "givenName": "Ali", 
        "id": "sg:person.013325336507.03", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013325336507.03"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Southern California", 
          "id": "https://www.grid.ac/institutes/grid.42505.36", 
          "name": [
            "Department of Obstetrics and Gynecology, Division of Reproductive Endocrinology, Keck School of Medicine, University of Southern California, 2020 Zonal Avenue, IRD 534, 90033, Los Angeles, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chung", 
        "givenName": "Karine", 
        "id": "sg:person.0751376776.62", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0751376776.62"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Southern California", 
          "id": "https://www.grid.ac/institutes/grid.42505.36", 
          "name": [
            "Department of Obstetrics and Gynecology, Division of Reproductive Endocrinology, Keck School of Medicine, University of Southern California, 2020 Zonal Avenue, IRD 534, 90033, Los Angeles, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bendikson", 
        "givenName": "Kristin", 
        "id": "sg:person.0711560264.84", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0711560264.84"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Southern California", 
          "id": "https://www.grid.ac/institutes/grid.42505.36", 
          "name": [
            "Department of Obstetrics and Gynecology, Division of Reproductive Endocrinology, Keck School of Medicine, University of Southern California, 2020 Zonal Avenue, IRD 534, 90033, Los Angeles, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Paulson", 
        "givenName": "Richard", 
        "id": "sg:person.0644766064.49", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0644766064.49"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Southern California", 
          "id": "https://www.grid.ac/institutes/grid.42505.36", 
          "name": [
            "Department of Obstetrics and Gynecology, Division of Reproductive Endocrinology, Keck School of Medicine, University of Southern California, 2020 Zonal Avenue, IRD 534, 90033, Los Angeles, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "McGinnis", 
        "givenName": "Lynda K.", 
        "id": "sg:person.0772600660.26", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0772600660.26"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.fertnstert.2012.06.025", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002630163"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1530/rep.1.00978", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006706538"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1261/rna.754207", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007218650"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkm368", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007228542"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4110/in.2011.11.3.135", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009640087"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/srep25486", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009863583", 
          "https://doi.org/10.1038/srep25486"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.rbmo.2015.06.023", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009875099"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1530/rep-12-0025", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014752880"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1155/2014/964614", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014825055"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.fertnstert.2005.05.018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016300521"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkt1181", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016904256"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.mce.2003.12.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019834455"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btp616", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023247882"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3109/14647273.2014.897006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023694315"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/humrep/der092", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024088929"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1242/jcs.02644", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024890636"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cell.2008.02.019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027361890"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1139/y10-009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028383213"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0086432", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030095516"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1530/rep.0.1220829", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031718256"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2164-10-443", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035665595", 
          "https://doi.org/10.1186/1471-2164-10-443"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1152/physiolgenomics.00036.2014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035987900"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m112.449025", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037127115"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btp324", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038266369"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12522-015-0227-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038924477", 
          "https://doi.org/10.1007/s12522-015-0227-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/jc.2013-1715", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040103691"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1071/rd14452", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042399832"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1095/biolreprod.108.069690", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042711081"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nbt0607-631", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042880123", 
          "https://doi.org/10.1038/nbt0607-631"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.febslet.2014.10.021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043203738"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/tpj.2008.14", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045438595", 
          "https://doi.org/10.1038/tpj.2008.14"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.fertnstert.2014.08.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046560726"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1095/biolreprod65.3.755", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046658028"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1095/biolreprod65.3.755", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046658028"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1172/jci33680", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047221207"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jcp.22562", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050128970"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10815-013-0161-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052433791", 
          "https://doi.org/10.1007/s10815-013-0161-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/cshperspect.a022962", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060407110"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/en.2004-0581", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064246858"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/jc.2006-2123", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064289617"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/jc.2014-1139", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064294992"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/me.2008-0095", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064328155"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/me.2011-1341", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064328771"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2174/092986712800269362", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069162504"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.23736/s0026-4784.16.04003-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1079381902"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jcp.25854", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083736284"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4331/wjbc.v8.i1.45", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083999151"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/en.2017-00146", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084826439"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10815-017-0930-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085110751", 
          "https://doi.org/10.1007/s10815-017-0930-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10815-017-0930-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085110751", 
          "https://doi.org/10.1007/s10815-017-0930-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.fertnstert.2017.08.029", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092055582"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-10", 
    "datePublishedReg": "2018-10-01", 
    "description": "PURPOSE: The study aims to determine differences in micro-RNA (miRNA) expression in granulosa (GC) and cumulus cells (CC) between young women with diminished ovarian reserve (DOR) or normal ovarian reserve (NOR). Secondary objective was to identify downstream signaling pathways that could ultimately indicate causes of lower developmental competence of oocytes from young women with DOR.\nMETHODS: The method of the study is prospective cohort study.\nRESULTS: Of the miRNA, 125 are differentially expressed in GC between DOR and NOR. Only nine miRNA were different in CC; therefore, we focused analysis on GC. In DOR GC, miR-100-5p, miR-16-5p, miR-30a-3p, and miR-193a-3p were significantly downregulated, while miR-155-5p, miR-192-5p, miR-128-3p, miR-486-5p, miR130a-3p, miR-92a-3p, miR-17-3p, miR-221-3p, and miR-175p were increased. This pattern predicted higher cell proliferation in the DOR GC. The primary pathways include MAPK, Wnt, and TGFbeta.\nCONCLUSIONS: The miRNA pattern identified critical functions in cell proliferation and survival associated with DOR. GC in women with DOR seems to respond differently to the LH surge.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10815-018-1239-9", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.6443768", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.3859699", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1095018", 
        "issn": [
          "1058-0468", 
          "1573-7330"
        ], 
        "name": "Journal of Assisted Reproduction and Genetics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "10", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "35"
      }
    ], 
    "name": "Micro-RNAs involved in cellular proliferation have altered expression profiles in granulosa of young women with diminished ovarian reserve", 
    "pagination": "1777-1786", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "0b8d4ace69f5411e97a303dd0244e3a848b1d12b768bc600b95a23e103b0a591"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "29987422"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9206495"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10815-018-1239-9"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1105427148"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10815-018-1239-9", 
      "https://app.dimensions.ai/details/publication/pub.1105427148"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T13:19", 
    "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/v90/0000000368_0000000368/records_78956_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs10815-018-1239-9"
  }
]
 

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/s10815-018-1239-9'

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/s10815-018-1239-9'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10815-018-1239-9'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10815-018-1239-9'


 

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

341 TRIPLES      21 PREDICATES      90 URIs      33 LITERALS      21 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10815-018-1239-9 schema:about N052eb073c0654c81b6747178054bc5b0
2 N67420901cbd24a1f818faf1682f1797c
3 N78d70b81dcda4ec7bd41fd1f8c23cda6
4 N7cf2d867705f4e52967917fd9d1a06e6
5 N80411c11c9874224abb593f8b2ba65c3
6 N916ffae4fa984bc4b0f2499af2039e05
7 N984a16bc11cf4135a8b1e53d6ff21806
8 Nb5390e87462c49bb89a0bbb916019619
9 Nbbb1ea96708047c0989d5fbb963ca78a
10 Nc304854cacc84eb09bc5d2ac53b4ac27
11 Nceb199783b0d4125b03d0d48d0a5b090
12 Nfb8ccd437ab44a5c996c8de5b1539e28
13 anzsrc-for:06
14 anzsrc-for:0601
15 schema:author N9ef8ddc65aba43da99a0a4ac520ed103
16 schema:citation sg:pub.10.1007/s10815-013-0161-4
17 sg:pub.10.1007/s10815-017-0930-6
18 sg:pub.10.1007/s12522-015-0227-3
19 sg:pub.10.1038/nbt0607-631
20 sg:pub.10.1038/srep25486
21 sg:pub.10.1038/tpj.2008.14
22 sg:pub.10.1186/1471-2164-10-443
23 https://doi.org/10.1002/jcp.22562
24 https://doi.org/10.1002/jcp.25854
25 https://doi.org/10.1016/j.cell.2008.02.019
26 https://doi.org/10.1016/j.febslet.2014.10.021
27 https://doi.org/10.1016/j.fertnstert.2005.05.018
28 https://doi.org/10.1016/j.fertnstert.2012.06.025
29 https://doi.org/10.1016/j.fertnstert.2014.08.005
30 https://doi.org/10.1016/j.fertnstert.2017.08.029
31 https://doi.org/10.1016/j.mce.2003.12.001
32 https://doi.org/10.1016/j.rbmo.2015.06.023
33 https://doi.org/10.1071/rd14452
34 https://doi.org/10.1074/jbc.m112.449025
35 https://doi.org/10.1093/bioinformatics/btp324
36 https://doi.org/10.1093/bioinformatics/btp616
37 https://doi.org/10.1093/humrep/der092
38 https://doi.org/10.1093/nar/gkm368
39 https://doi.org/10.1093/nar/gkt1181
40 https://doi.org/10.1095/biolreprod.108.069690
41 https://doi.org/10.1095/biolreprod65.3.755
42 https://doi.org/10.1101/cshperspect.a022962
43 https://doi.org/10.1139/y10-009
44 https://doi.org/10.1152/physiolgenomics.00036.2014
45 https://doi.org/10.1155/2014/964614
46 https://doi.org/10.1172/jci33680
47 https://doi.org/10.1210/en.2004-0581
48 https://doi.org/10.1210/en.2017-00146
49 https://doi.org/10.1210/jc.2006-2123
50 https://doi.org/10.1210/jc.2013-1715
51 https://doi.org/10.1210/jc.2014-1139
52 https://doi.org/10.1210/me.2008-0095
53 https://doi.org/10.1210/me.2011-1341
54 https://doi.org/10.1242/jcs.02644
55 https://doi.org/10.1261/rna.754207
56 https://doi.org/10.1371/journal.pone.0086432
57 https://doi.org/10.1530/rep-12-0025
58 https://doi.org/10.1530/rep.0.1220829
59 https://doi.org/10.1530/rep.1.00978
60 https://doi.org/10.2174/092986712800269362
61 https://doi.org/10.23736/s0026-4784.16.04003-x
62 https://doi.org/10.3109/14647273.2014.897006
63 https://doi.org/10.4110/in.2011.11.3.135
64 https://doi.org/10.4331/wjbc.v8.i1.45
65 schema:datePublished 2018-10
66 schema:datePublishedReg 2018-10-01
67 schema:description PURPOSE: The study aims to determine differences in micro-RNA (miRNA) expression in granulosa (GC) and cumulus cells (CC) between young women with diminished ovarian reserve (DOR) or normal ovarian reserve (NOR). Secondary objective was to identify downstream signaling pathways that could ultimately indicate causes of lower developmental competence of oocytes from young women with DOR. METHODS: The method of the study is prospective cohort study. RESULTS: Of the miRNA, 125 are differentially expressed in GC between DOR and NOR. Only nine miRNA were different in CC; therefore, we focused analysis on GC. In DOR GC, miR-100-5p, miR-16-5p, miR-30a-3p, and miR-193a-3p were significantly downregulated, while miR-155-5p, miR-192-5p, miR-128-3p, miR-486-5p, miR130a-3p, miR-92a-3p, miR-17-3p, miR-221-3p, and miR-175p were increased. This pattern predicted higher cell proliferation in the DOR GC. The primary pathways include MAPK, Wnt, and TGFbeta. CONCLUSIONS: The miRNA pattern identified critical functions in cell proliferation and survival associated with DOR. GC in women with DOR seems to respond differently to the LH surge.
68 schema:genre research_article
69 schema:inLanguage en
70 schema:isAccessibleForFree false
71 schema:isPartOf N534dd48bab5c4c6495acac0d7b8c18c1
72 Nb46615fdf8a840d697553d716919a563
73 sg:journal.1095018
74 schema:name Micro-RNAs involved in cellular proliferation have altered expression profiles in granulosa of young women with diminished ovarian reserve
75 schema:pagination 1777-1786
76 schema:productId N05a2b525443a47bd91323614954a8300
77 N4839150163ec4a67aea3c683080b3059
78 N60ad6777d6bb49dfa0f2c6c26ed9db7c
79 Nc91cfa036a734da7950511eabf7a8fb9
80 Ne6f712cb11de476da9e8bfd6cff50a2d
81 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105427148
82 https://doi.org/10.1007/s10815-018-1239-9
83 schema:sdDatePublished 2019-04-11T13:19
84 schema:sdLicense https://scigraph.springernature.com/explorer/license/
85 schema:sdPublisher N82b1437f16c349aeb4ec8e1bffae4dc0
86 schema:url https://link.springer.com/10.1007%2Fs10815-018-1239-9
87 sgo:license sg:explorer/license/
88 sgo:sdDataset articles
89 rdf:type schema:ScholarlyArticle
90 N052eb073c0654c81b6747178054bc5b0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
91 schema:name Prospective Studies
92 rdf:type schema:DefinedTerm
93 N05a2b525443a47bd91323614954a8300 schema:name nlm_unique_id
94 schema:value 9206495
95 rdf:type schema:PropertyValue
96 N19c1d1075d694f74bad43573328160f7 rdf:first sg:person.013325336507.03
97 rdf:rest Nc413020b60434424b318da815d1e2603
98 N4839150163ec4a67aea3c683080b3059 schema:name doi
99 schema:value 10.1007/s10815-018-1239-9
100 rdf:type schema:PropertyValue
101 N534dd48bab5c4c6495acac0d7b8c18c1 schema:issueNumber 10
102 rdf:type schema:PublicationIssue
103 N60ad6777d6bb49dfa0f2c6c26ed9db7c schema:name readcube_id
104 schema:value 0b8d4ace69f5411e97a303dd0244e3a848b1d12b768bc600b95a23e103b0a591
105 rdf:type schema:PropertyValue
106 N67420901cbd24a1f818faf1682f1797c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
107 schema:name Gene Expression Profiling
108 rdf:type schema:DefinedTerm
109 N78d70b81dcda4ec7bd41fd1f8c23cda6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
110 schema:name Ovarian Diseases
111 rdf:type schema:DefinedTerm
112 N7cf2d867705f4e52967917fd9d1a06e6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
113 schema:name Cells, Cultured
114 rdf:type schema:DefinedTerm
115 N80411c11c9874224abb593f8b2ba65c3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
116 schema:name Adult
117 rdf:type schema:DefinedTerm
118 N82b1437f16c349aeb4ec8e1bffae4dc0 schema:name Springer Nature - SN SciGraph project
119 rdf:type schema:Organization
120 N916ffae4fa984bc4b0f2499af2039e05 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
121 schema:name Cumulus Cells
122 rdf:type schema:DefinedTerm
123 N96d7795bb8134e329fb861a01a39fb29 rdf:first sg:person.0644766064.49
124 rdf:rest Nbe18862ed311495a9dfd2c6611f02bab
125 N984a16bc11cf4135a8b1e53d6ff21806 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
126 schema:name Granulosa Cells
127 rdf:type schema:DefinedTerm
128 N9ef8ddc65aba43da99a0a4ac520ed103 rdf:first sg:person.014730475623.41
129 rdf:rest Nd821b331b0f341fa8159b52fdbaea88f
130 Naab0bd362dd74a95b3ad1b57481562eb rdf:first sg:person.01020412776.84
131 rdf:rest Ncfbd3f093f8f4c14b39dc3439ef21bac
132 Nb46615fdf8a840d697553d716919a563 schema:volumeNumber 35
133 rdf:type schema:PublicationVolume
134 Nb5390e87462c49bb89a0bbb916019619 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
135 schema:name Humans
136 rdf:type schema:DefinedTerm
137 Nbbb1ea96708047c0989d5fbb963ca78a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
138 schema:name Cell Proliferation
139 rdf:type schema:DefinedTerm
140 Nbe18862ed311495a9dfd2c6611f02bab rdf:first sg:person.0772600660.26
141 rdf:rest rdf:nil
142 Nc26168a4f5964f83a98b83c5d04da216 rdf:first sg:person.015222070621.81
143 rdf:rest N19c1d1075d694f74bad43573328160f7
144 Nc304854cacc84eb09bc5d2ac53b4ac27 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
145 schema:name Ovarian Reserve
146 rdf:type schema:DefinedTerm
147 Nc413020b60434424b318da815d1e2603 rdf:first sg:person.0751376776.62
148 rdf:rest Nf6d9570ca889446da75b7f191794f46a
149 Nc91cfa036a734da7950511eabf7a8fb9 schema:name pubmed_id
150 schema:value 29987422
151 rdf:type schema:PropertyValue
152 Nceb199783b0d4125b03d0d48d0a5b090 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
153 schema:name MicroRNAs
154 rdf:type schema:DefinedTerm
155 Ncfbd3f093f8f4c14b39dc3439ef21bac rdf:first sg:person.01202315245.46
156 rdf:rest Nc26168a4f5964f83a98b83c5d04da216
157 Nd821b331b0f341fa8159b52fdbaea88f rdf:first sg:person.01101450332.60
158 rdf:rest Naab0bd362dd74a95b3ad1b57481562eb
159 Ne6f712cb11de476da9e8bfd6cff50a2d schema:name dimensions_id
160 schema:value pub.1105427148
161 rdf:type schema:PropertyValue
162 Nf6d9570ca889446da75b7f191794f46a rdf:first sg:person.0711560264.84
163 rdf:rest N96d7795bb8134e329fb861a01a39fb29
164 Nfb8ccd437ab44a5c996c8de5b1539e28 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
165 schema:name Female
166 rdf:type schema:DefinedTerm
167 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
168 schema:name Biological Sciences
169 rdf:type schema:DefinedTerm
170 anzsrc-for:0601 schema:inDefinedTermSet anzsrc-for:
171 schema:name Biochemistry and Cell Biology
172 rdf:type schema:DefinedTerm
173 sg:grant.3859699 http://pending.schema.org/fundedItem sg:pub.10.1007/s10815-018-1239-9
174 rdf:type schema:MonetaryGrant
175 sg:grant.6443768 http://pending.schema.org/fundedItem sg:pub.10.1007/s10815-018-1239-9
176 rdf:type schema:MonetaryGrant
177 sg:journal.1095018 schema:issn 1058-0468
178 1573-7330
179 schema:name Journal of Assisted Reproduction and Genetics
180 rdf:type schema:Periodical
181 sg:person.01020412776.84 schema:affiliation https://www.grid.ac/institutes/grid.412016.0
182 schema:familyName Gunewardena
183 schema:givenName Sumedha
184 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01020412776.84
185 rdf:type schema:Person
186 sg:person.01101450332.60 schema:affiliation https://www.grid.ac/institutes/grid.412016.0
187 schema:familyName Christenson
188 schema:givenName Lane K.
189 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01101450332.60
190 rdf:type schema:Person
191 sg:person.01202315245.46 schema:affiliation https://www.grid.ac/institutes/grid.42505.36
192 schema:familyName Ingles
193 schema:givenName Sue Ann
194 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01202315245.46
195 rdf:type schema:Person
196 sg:person.013325336507.03 schema:affiliation https://www.grid.ac/institutes/grid.42505.36
197 schema:familyName Ahmady
198 schema:givenName Ali
199 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013325336507.03
200 rdf:type schema:Person
201 sg:person.014730475623.41 schema:affiliation https://www.grid.ac/institutes/grid.42505.36
202 schema:familyName Woo
203 schema:givenName Irene
204 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014730475623.41
205 rdf:type schema:Person
206 sg:person.015222070621.81 schema:affiliation https://www.grid.ac/institutes/grid.42505.36
207 schema:familyName Thomas
208 schema:givenName Semara
209 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015222070621.81
210 rdf:type schema:Person
211 sg:person.0644766064.49 schema:affiliation https://www.grid.ac/institutes/grid.42505.36
212 schema:familyName Paulson
213 schema:givenName Richard
214 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0644766064.49
215 rdf:type schema:Person
216 sg:person.0711560264.84 schema:affiliation https://www.grid.ac/institutes/grid.42505.36
217 schema:familyName Bendikson
218 schema:givenName Kristin
219 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0711560264.84
220 rdf:type schema:Person
221 sg:person.0751376776.62 schema:affiliation https://www.grid.ac/institutes/grid.42505.36
222 schema:familyName Chung
223 schema:givenName Karine
224 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0751376776.62
225 rdf:type schema:Person
226 sg:person.0772600660.26 schema:affiliation https://www.grid.ac/institutes/grid.42505.36
227 schema:familyName McGinnis
228 schema:givenName Lynda K.
229 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0772600660.26
230 rdf:type schema:Person
231 sg:pub.10.1007/s10815-013-0161-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052433791
232 https://doi.org/10.1007/s10815-013-0161-4
233 rdf:type schema:CreativeWork
234 sg:pub.10.1007/s10815-017-0930-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085110751
235 https://doi.org/10.1007/s10815-017-0930-6
236 rdf:type schema:CreativeWork
237 sg:pub.10.1007/s12522-015-0227-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038924477
238 https://doi.org/10.1007/s12522-015-0227-3
239 rdf:type schema:CreativeWork
240 sg:pub.10.1038/nbt0607-631 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042880123
241 https://doi.org/10.1038/nbt0607-631
242 rdf:type schema:CreativeWork
243 sg:pub.10.1038/srep25486 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009863583
244 https://doi.org/10.1038/srep25486
245 rdf:type schema:CreativeWork
246 sg:pub.10.1038/tpj.2008.14 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045438595
247 https://doi.org/10.1038/tpj.2008.14
248 rdf:type schema:CreativeWork
249 sg:pub.10.1186/1471-2164-10-443 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035665595
250 https://doi.org/10.1186/1471-2164-10-443
251 rdf:type schema:CreativeWork
252 https://doi.org/10.1002/jcp.22562 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050128970
253 rdf:type schema:CreativeWork
254 https://doi.org/10.1002/jcp.25854 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083736284
255 rdf:type schema:CreativeWork
256 https://doi.org/10.1016/j.cell.2008.02.019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027361890
257 rdf:type schema:CreativeWork
258 https://doi.org/10.1016/j.febslet.2014.10.021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043203738
259 rdf:type schema:CreativeWork
260 https://doi.org/10.1016/j.fertnstert.2005.05.018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016300521
261 rdf:type schema:CreativeWork
262 https://doi.org/10.1016/j.fertnstert.2012.06.025 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002630163
263 rdf:type schema:CreativeWork
264 https://doi.org/10.1016/j.fertnstert.2014.08.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046560726
265 rdf:type schema:CreativeWork
266 https://doi.org/10.1016/j.fertnstert.2017.08.029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092055582
267 rdf:type schema:CreativeWork
268 https://doi.org/10.1016/j.mce.2003.12.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019834455
269 rdf:type schema:CreativeWork
270 https://doi.org/10.1016/j.rbmo.2015.06.023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009875099
271 rdf:type schema:CreativeWork
272 https://doi.org/10.1071/rd14452 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042399832
273 rdf:type schema:CreativeWork
274 https://doi.org/10.1074/jbc.m112.449025 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037127115
275 rdf:type schema:CreativeWork
276 https://doi.org/10.1093/bioinformatics/btp324 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038266369
277 rdf:type schema:CreativeWork
278 https://doi.org/10.1093/bioinformatics/btp616 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023247882
279 rdf:type schema:CreativeWork
280 https://doi.org/10.1093/humrep/der092 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024088929
281 rdf:type schema:CreativeWork
282 https://doi.org/10.1093/nar/gkm368 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007228542
283 rdf:type schema:CreativeWork
284 https://doi.org/10.1093/nar/gkt1181 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016904256
285 rdf:type schema:CreativeWork
286 https://doi.org/10.1095/biolreprod.108.069690 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042711081
287 rdf:type schema:CreativeWork
288 https://doi.org/10.1095/biolreprod65.3.755 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046658028
289 rdf:type schema:CreativeWork
290 https://doi.org/10.1101/cshperspect.a022962 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060407110
291 rdf:type schema:CreativeWork
292 https://doi.org/10.1139/y10-009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028383213
293 rdf:type schema:CreativeWork
294 https://doi.org/10.1152/physiolgenomics.00036.2014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035987900
295 rdf:type schema:CreativeWork
296 https://doi.org/10.1155/2014/964614 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014825055
297 rdf:type schema:CreativeWork
298 https://doi.org/10.1172/jci33680 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047221207
299 rdf:type schema:CreativeWork
300 https://doi.org/10.1210/en.2004-0581 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064246858
301 rdf:type schema:CreativeWork
302 https://doi.org/10.1210/en.2017-00146 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084826439
303 rdf:type schema:CreativeWork
304 https://doi.org/10.1210/jc.2006-2123 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064289617
305 rdf:type schema:CreativeWork
306 https://doi.org/10.1210/jc.2013-1715 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040103691
307 rdf:type schema:CreativeWork
308 https://doi.org/10.1210/jc.2014-1139 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064294992
309 rdf:type schema:CreativeWork
310 https://doi.org/10.1210/me.2008-0095 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064328155
311 rdf:type schema:CreativeWork
312 https://doi.org/10.1210/me.2011-1341 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064328771
313 rdf:type schema:CreativeWork
314 https://doi.org/10.1242/jcs.02644 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024890636
315 rdf:type schema:CreativeWork
316 https://doi.org/10.1261/rna.754207 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007218650
317 rdf:type schema:CreativeWork
318 https://doi.org/10.1371/journal.pone.0086432 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030095516
319 rdf:type schema:CreativeWork
320 https://doi.org/10.1530/rep-12-0025 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014752880
321 rdf:type schema:CreativeWork
322 https://doi.org/10.1530/rep.0.1220829 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031718256
323 rdf:type schema:CreativeWork
324 https://doi.org/10.1530/rep.1.00978 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006706538
325 rdf:type schema:CreativeWork
326 https://doi.org/10.2174/092986712800269362 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069162504
327 rdf:type schema:CreativeWork
328 https://doi.org/10.23736/s0026-4784.16.04003-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1079381902
329 rdf:type schema:CreativeWork
330 https://doi.org/10.3109/14647273.2014.897006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023694315
331 rdf:type schema:CreativeWork
332 https://doi.org/10.4110/in.2011.11.3.135 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009640087
333 rdf:type schema:CreativeWork
334 https://doi.org/10.4331/wjbc.v8.i1.45 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083999151
335 rdf:type schema:CreativeWork
336 https://www.grid.ac/institutes/grid.412016.0 schema:alternateName University of Kansas Medical Center
337 schema:name Department of Molecular and Integrative Physiology, University of Kansas Medical Center, Kansas City, KS, USA
338 rdf:type schema:Organization
339 https://www.grid.ac/institutes/grid.42505.36 schema:alternateName University of Southern California
340 schema:name Department of Obstetrics and Gynecology, Division of Reproductive Endocrinology, Keck School of Medicine, University of Southern California, 2020 Zonal Avenue, IRD 534, 90033, Los Angeles, CA, USA
341 rdf:type schema:Organization
 




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


...