Female-biased sexual dimorphism of corticotropin-releasing factor neurons in the bed nucleus of the stria terminalis View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Katsuya Uchida, Hiroko Otsuka, Masahiro Morishita, Shinji Tsukahara, Tatsuya Sato, Kenji Sakimura, Keiichi Itoi

ABSTRACT

BACKGROUND: The bed nucleus of the stria terminalis (BNST) contains the highest density of corticotropin-releasing factor (CRF)-producing neurons in the brain. CRF-immunoreactive neurons show a female-biased sexual dimorphism in the dorsolateral BNST in the rat. Since CRF neurons cannot be immunostained clearly with available CRF antibodies in the mouse, we used a mouse line, in which modified yellow fluorescent protein (Venus) was inserted to the CRF gene, and the Neo cassette was removed, to examine the morphological characteristics of CRF neurons in the dorsolateral BNST. Developmental changes of CRF neurons were examined from postnatal stages to adulthood. Gonadectomy (GDX) was carried out in adult male and female mice to examine the effects of sex steroids on the number of CRF neurons in the dorsolateral BNST. METHODS: The number of Venus-expressing neurons, stained by immunofluorescence, was compared between male and female mice over the course of development. GDX was carried out in adult mice. Immunohistochemistry, in combination with Nissl staining, was carried out, and the effects of sex or gonadal steroids were examined by estimating the number of Venus-expressing neurons, as well as the total number of neurons or glial cells, in each BNST subnucleus, using a stereological method. RESULTS: Most Venus-expressing neurons co-expressed Crf mRNA in the dorsolateral BNST. They constitute a group of neurons without calbindin immunoreactivity, which makes a contrast to the principal nucleus of the BNST that is characterized by calbindin immunostaining. In the dorsolateral BNST, the number of Venus-expressing neurons increased across developmental stages until adulthood. Sexual difference in the number of Venus-expressing neurons was not evident by postnatal day 5. In adulthood, however, there was a significant female predominance in the number of Venus expressing neurons in two subnuclei of the dorsolateral BNST, i.e., the oval nucleus of the BNST (ovBNST) and the anterolateral BNST (alBNST). The number of Venus-expressing neurons was smaller significantly in ovariectomized females compared with proestrous females in either ovBNST or alBNST, and greater significantly in orchiectomized males compared with gonadally intact males in ovBNST. The total number of neurons was also greater significantly in females than in males in ovBNST and alBNST, but it was not affected by GDX. CONCLUSION: Venus-expressing CRF neurons showed female-biased sexual dimorphism in ovBNST and alBNST of the mouse. Expression of Venus in these subnuclei was controlled by gonadal steroids. More... »

PAGES

6

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s13293-019-0221-2

DOI

http://dx.doi.org/10.1186/s13293-019-0221-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111751819

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30691514


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/2008/1109", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Neurosciences", 
        "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": "Tohoku University", 
          "id": "https://www.grid.ac/institutes/grid.69566.3a", 
          "name": [
            "Laboratory of Information Biology, Graduate School of Information Sciences, Tohoku University, Sendai City, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Uchida", 
        "givenName": "Katsuya", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tohoku University", 
          "id": "https://www.grid.ac/institutes/grid.69566.3a", 
          "name": [
            "Laboratory of Information Biology, Graduate School of Information Sciences, Tohoku University, Sendai City, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Otsuka", 
        "givenName": "Hiroko", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Saitama University", 
          "id": "https://www.grid.ac/institutes/grid.263023.6", 
          "name": [
            "Department of Regulation Biology, Graduate School of Science and Engineering, Saitama University, Saitama City, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Morishita", 
        "givenName": "Masahiro", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Saitama University", 
          "id": "https://www.grid.ac/institutes/grid.263023.6", 
          "name": [
            "Department of Regulation Biology, Graduate School of Science and Engineering, Saitama University, Saitama City, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tsukahara", 
        "givenName": "Shinji", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tohoku University", 
          "id": "https://www.grid.ac/institutes/grid.69566.3a", 
          "name": [
            "Laboratory of Information Biology, Graduate School of Information Sciences, Tohoku University, Sendai City, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sato", 
        "givenName": "Tatsuya", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Niigata University", 
          "id": "https://www.grid.ac/institutes/grid.260975.f", 
          "name": [
            "Department of Cellular Neurobiology, Brain Research Institute, Niigata University, Niigata City, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sakimura", 
        "givenName": "Kenji", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tohoku University", 
          "id": "https://www.grid.ac/institutes/grid.69566.3a", 
          "name": [
            "Laboratory of Information Biology, Graduate School of Information Sciences, Tohoku University, Sendai City, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Itoi", 
        "givenName": "Keiichi", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1002/cne.902800410", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000457339"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1097-4695(20000605)43:3<234::aid-neu2>3.0.co;2-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000529549"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cne.22698", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000766606"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1523/jneurosci.2119-09.2009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001315546"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2826.2009.01855.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003413416"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cne.902940107", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003744729"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/b978-0-444-59426-6.00010-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005689465"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1097-4695(19980905)36:3<357::aid-neu5>3.0.co;2-v", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005836059"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/dneu.20353", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006435644"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bbr.2014.01.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007604564"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0306-4522(94)90320-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008180227"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0306-4522(94)90320-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008180227"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cne.1079", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012601144"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrn3945", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014479834", 
          "https://doi.org/10.1038/nrn3945"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature12018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015977588", 
          "https://doi.org/10.1038/nature12018"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/0471142301.nsa04is48", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022402610"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0165-0173(01)00079-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023541106"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00215458", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024985026", 
          "https://doi.org/10.1007/bf00215458"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00215458", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024985026", 
          "https://doi.org/10.1007/bf00215458"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1523/jneurosci.1579-14.2014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026618187"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.2044-8295.1977.tb01567.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028084704"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00429-016-1303-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028517155", 
          "https://doi.org/10.1007/s00429-016-1303-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00429-016-1303-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028517155", 
          "https://doi.org/10.1007/s00429-016-1303-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.yhbeh.2013.08.017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028930623"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10571-011-9774-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035495000", 
          "https://doi.org/10.1007/s10571-011-9774-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.pnpbp.2009.06.022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037495217"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0306-4530(03)00055-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038273074"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0306-4530(03)00055-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038273074"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/npp.2016.174", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038992286", 
          "https://doi.org/10.1038/npp.2016.174"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0165-3806(88)90226-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041158714"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0165-3806(88)90226-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041158714"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neulet.2016.08.018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042528146"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biopsych.2014.12.024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043691348"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cne.902800409", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044290857"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/0471142301.ns0120s59", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047435435"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2826.2007.01548.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047754122"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.brainres.2008.05.043", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048743183"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neulet.2012.11.065", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048799641"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.3758/cabn.1.4.371", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049486569", 
          "https://doi.org/10.3758/cabn.1.4.371"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1159/000123454", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049910546"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.mp.4001800", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051348334", 
          "https://doi.org/10.1038/sj.mp.4001800"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.mp.4001800", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051348334", 
          "https://doi.org/10.1038/sj.mp.4001800"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cne.902830302", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051569530"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.yhbeh.2006.03.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052099598"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/en.2016-1428", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052698502"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0014-2999(03)01282-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052706257"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1055/s-0029-1216274", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057188314"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.6267699", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062635964"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/en.2014-1182", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064252350"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/endo-124-1-60", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064262067"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/endo.134.6.8194481", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064279281"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1523/jneurosci.21-19-07691.2001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074883958"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1523/jneurosci.08-03-00988.1988", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1079443227"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1523/jneurosci.19-01-00420.1999", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083368986"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neuroscience.2017.05.020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085435504"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cne.24330", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091831029"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "BACKGROUND: The bed nucleus of the stria terminalis (BNST) contains the highest density of corticotropin-releasing factor (CRF)-producing neurons in the brain. CRF-immunoreactive neurons show a female-biased sexual dimorphism in the dorsolateral BNST in the rat. Since CRF neurons cannot be immunostained clearly with available CRF antibodies in the mouse, we used a mouse line, in which modified yellow fluorescent protein (Venus) was inserted to the CRF gene, and the Neo cassette was removed, to examine the morphological characteristics of CRF neurons in the dorsolateral BNST. Developmental changes of CRF neurons were examined from postnatal stages to adulthood. Gonadectomy (GDX) was carried out in adult male and female mice to examine the effects of sex steroids on the number of CRF neurons in the dorsolateral BNST.\nMETHODS: The number of Venus-expressing neurons, stained by immunofluorescence, was compared between male and female mice over the course of development. GDX was carried out in adult mice. Immunohistochemistry, in combination with Nissl staining, was carried out, and the effects of sex or gonadal steroids were examined by estimating the number of Venus-expressing neurons, as well as the total number of neurons or glial cells, in each BNST subnucleus, using a stereological method.\nRESULTS: Most Venus-expressing neurons co-expressed Crf mRNA in the dorsolateral BNST. They constitute a group of neurons without calbindin immunoreactivity, which makes a contrast to the principal nucleus of the BNST that is characterized by calbindin immunostaining. In the dorsolateral BNST, the number of Venus-expressing neurons increased across developmental stages until adulthood. Sexual difference in the number of Venus-expressing neurons was not evident by postnatal day 5. In adulthood, however, there was a significant female predominance in the number of Venus expressing neurons\u00a0in two subnuclei of the dorsolateral BNST, i.e., the oval nucleus of the BNST\u00a0(ovBNST) and the anterolateral BNST (alBNST). The number of Venus-expressing neurons was smaller significantly in ovariectomized females compared with proestrous females in either ovBNST or alBNST, and greater significantly in orchiectomized males compared with gonadally intact males in ovBNST.\u00a0The total number of neurons was also greater significantly in females than in males in ovBNST and alBNST, but it was not affected by GDX.\nCONCLUSION: Venus-expressing CRF neurons showed female-biased sexual dimorphism in ovBNST and alBNST of the mouse. Expression of Venus in these subnuclei was controlled by gonadal steroids.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s13293-019-0221-2", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.5907689", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1044456", 
        "issn": [
          "2042-6410"
        ], 
        "name": "Biology of Sex Differences", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "10"
      }
    ], 
    "name": "Female-biased sexual dimorphism of corticotropin-releasing factor neurons in the bed nucleus of the stria terminalis", 
    "pagination": "6", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "58521bcc89e40213c224b43e3ac8a80a966888ee294b0cb17bc78e69b686b473"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30691514"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101548963"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s13293-019-0221-2"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1111751819"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s13293-019-0221-2", 
      "https://app.dimensions.ai/details/publication/pub.1111751819"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T12:12", 
    "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/v90/0000000361_0000000361/records_53987_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs13293-019-0221-2"
  }
]
 

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.10.1186/s13293-019-0221-2'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s13293-019-0221-2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s13293-019-0221-2'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s13293-019-0221-2'


 

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

269 TRIPLES      21 PREDICATES      79 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s13293-019-0221-2 schema:about anzsrc-for:11
2 anzsrc-for:1109
3 schema:author N92c072f61ccd4d778093bf8bdea6bd3e
4 schema:citation sg:pub.10.1007/bf00215458
5 sg:pub.10.1007/s00429-016-1303-0
6 sg:pub.10.1007/s10571-011-9774-2
7 sg:pub.10.1038/nature12018
8 sg:pub.10.1038/npp.2016.174
9 sg:pub.10.1038/nrn3945
10 sg:pub.10.1038/sj.mp.4001800
11 sg:pub.10.3758/cabn.1.4.371
12 https://doi.org/10.1002/(sici)1097-4695(19980905)36:3<357::aid-neu5>3.0.co;2-v
13 https://doi.org/10.1002/(sici)1097-4695(20000605)43:3<234::aid-neu2>3.0.co;2-3
14 https://doi.org/10.1002/0471142301.ns0120s59
15 https://doi.org/10.1002/0471142301.nsa04is48
16 https://doi.org/10.1002/cne.1079
17 https://doi.org/10.1002/cne.22698
18 https://doi.org/10.1002/cne.24330
19 https://doi.org/10.1002/cne.902800409
20 https://doi.org/10.1002/cne.902800410
21 https://doi.org/10.1002/cne.902830302
22 https://doi.org/10.1002/cne.902940107
23 https://doi.org/10.1002/dneu.20353
24 https://doi.org/10.1016/0165-3806(88)90226-x
25 https://doi.org/10.1016/0306-4522(94)90320-4
26 https://doi.org/10.1016/b978-0-444-59426-6.00010-0
27 https://doi.org/10.1016/j.bbr.2014.01.013
28 https://doi.org/10.1016/j.biopsych.2014.12.024
29 https://doi.org/10.1016/j.brainres.2008.05.043
30 https://doi.org/10.1016/j.neulet.2012.11.065
31 https://doi.org/10.1016/j.neulet.2016.08.018
32 https://doi.org/10.1016/j.neuroscience.2017.05.020
33 https://doi.org/10.1016/j.pnpbp.2009.06.022
34 https://doi.org/10.1016/j.yhbeh.2006.03.003
35 https://doi.org/10.1016/j.yhbeh.2013.08.017
36 https://doi.org/10.1016/s0014-2999(03)01282-2
37 https://doi.org/10.1016/s0165-0173(01)00079-0
38 https://doi.org/10.1016/s0306-4530(03)00055-6
39 https://doi.org/10.1055/s-0029-1216274
40 https://doi.org/10.1111/j.1365-2826.2007.01548.x
41 https://doi.org/10.1111/j.1365-2826.2009.01855.x
42 https://doi.org/10.1111/j.2044-8295.1977.tb01567.x
43 https://doi.org/10.1126/science.6267699
44 https://doi.org/10.1159/000123454
45 https://doi.org/10.1210/en.2014-1182
46 https://doi.org/10.1210/en.2016-1428
47 https://doi.org/10.1210/endo-124-1-60
48 https://doi.org/10.1210/endo.134.6.8194481
49 https://doi.org/10.1523/jneurosci.08-03-00988.1988
50 https://doi.org/10.1523/jneurosci.1579-14.2014
51 https://doi.org/10.1523/jneurosci.19-01-00420.1999
52 https://doi.org/10.1523/jneurosci.21-19-07691.2001
53 https://doi.org/10.1523/jneurosci.2119-09.2009
54 schema:datePublished 2019-12
55 schema:datePublishedReg 2019-12-01
56 schema:description BACKGROUND: The bed nucleus of the stria terminalis (BNST) contains the highest density of corticotropin-releasing factor (CRF)-producing neurons in the brain. CRF-immunoreactive neurons show a female-biased sexual dimorphism in the dorsolateral BNST in the rat. Since CRF neurons cannot be immunostained clearly with available CRF antibodies in the mouse, we used a mouse line, in which modified yellow fluorescent protein (Venus) was inserted to the CRF gene, and the Neo cassette was removed, to examine the morphological characteristics of CRF neurons in the dorsolateral BNST. Developmental changes of CRF neurons were examined from postnatal stages to adulthood. Gonadectomy (GDX) was carried out in adult male and female mice to examine the effects of sex steroids on the number of CRF neurons in the dorsolateral BNST. METHODS: The number of Venus-expressing neurons, stained by immunofluorescence, was compared between male and female mice over the course of development. GDX was carried out in adult mice. Immunohistochemistry, in combination with Nissl staining, was carried out, and the effects of sex or gonadal steroids were examined by estimating the number of Venus-expressing neurons, as well as the total number of neurons or glial cells, in each BNST subnucleus, using a stereological method. RESULTS: Most Venus-expressing neurons co-expressed Crf mRNA in the dorsolateral BNST. They constitute a group of neurons without calbindin immunoreactivity, which makes a contrast to the principal nucleus of the BNST that is characterized by calbindin immunostaining. In the dorsolateral BNST, the number of Venus-expressing neurons increased across developmental stages until adulthood. Sexual difference in the number of Venus-expressing neurons was not evident by postnatal day 5. In adulthood, however, there was a significant female predominance in the number of Venus expressing neurons in two subnuclei of the dorsolateral BNST, i.e., the oval nucleus of the BNST (ovBNST) and the anterolateral BNST (alBNST). The number of Venus-expressing neurons was smaller significantly in ovariectomized females compared with proestrous females in either ovBNST or alBNST, and greater significantly in orchiectomized males compared with gonadally intact males in ovBNST. The total number of neurons was also greater significantly in females than in males in ovBNST and alBNST, but it was not affected by GDX. CONCLUSION: Venus-expressing CRF neurons showed female-biased sexual dimorphism in ovBNST and alBNST of the mouse. Expression of Venus in these subnuclei was controlled by gonadal steroids.
57 schema:genre research_article
58 schema:inLanguage en
59 schema:isAccessibleForFree true
60 schema:isPartOf N6f2d9b26788f4fc1a85e0eb25685573f
61 Nb7da754b49144f6c822e27655e3fe6e2
62 sg:journal.1044456
63 schema:name Female-biased sexual dimorphism of corticotropin-releasing factor neurons in the bed nucleus of the stria terminalis
64 schema:pagination 6
65 schema:productId N08d7864dc5b3416291c006545f6beec5
66 N13dd8bc924914fac86d04f82a0fa6a18
67 N14807bb953614fb284bf6e94f65b269e
68 N8fdb5cf6b49149a18516e68c5b2cb41e
69 N9dc6a0b6d0e84af28f91d78c4722b879
70 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111751819
71 https://doi.org/10.1186/s13293-019-0221-2
72 schema:sdDatePublished 2019-04-11T12:12
73 schema:sdLicense https://scigraph.springernature.com/explorer/license/
74 schema:sdPublisher Neeec67b10cb144d79190015f4d3a18aa
75 schema:url https://link.springer.com/10.1186%2Fs13293-019-0221-2
76 sgo:license sg:explorer/license/
77 sgo:sdDataset articles
78 rdf:type schema:ScholarlyArticle
79 N08d7864dc5b3416291c006545f6beec5 schema:name readcube_id
80 schema:value 58521bcc89e40213c224b43e3ac8a80a966888ee294b0cb17bc78e69b686b473
81 rdf:type schema:PropertyValue
82 N13dd8bc924914fac86d04f82a0fa6a18 schema:name dimensions_id
83 schema:value pub.1111751819
84 rdf:type schema:PropertyValue
85 N1440c08080ac408196ac5b1b42df01c0 schema:affiliation https://www.grid.ac/institutes/grid.69566.3a
86 schema:familyName Sato
87 schema:givenName Tatsuya
88 rdf:type schema:Person
89 N14807bb953614fb284bf6e94f65b269e schema:name pubmed_id
90 schema:value 30691514
91 rdf:type schema:PropertyValue
92 N442e2a940f04441c95fdc2ed5504e0a0 schema:affiliation https://www.grid.ac/institutes/grid.260975.f
93 schema:familyName Sakimura
94 schema:givenName Kenji
95 rdf:type schema:Person
96 N4aa13dca02e84cbbbc4c83af0e94e47b rdf:first N4b6a90004a214f15ac8a547dbf77633e
97 rdf:rest rdf:nil
98 N4b6a90004a214f15ac8a547dbf77633e schema:affiliation https://www.grid.ac/institutes/grid.69566.3a
99 schema:familyName Itoi
100 schema:givenName Keiichi
101 rdf:type schema:Person
102 N6f2d9b26788f4fc1a85e0eb25685573f schema:volumeNumber 10
103 rdf:type schema:PublicationVolume
104 N771f4cbbac3049ad82a93d997b29cfc7 schema:affiliation https://www.grid.ac/institutes/grid.69566.3a
105 schema:familyName Uchida
106 schema:givenName Katsuya
107 rdf:type schema:Person
108 N7ad69006c6ee400dbb6b612cfa28a1ed schema:affiliation https://www.grid.ac/institutes/grid.69566.3a
109 schema:familyName Otsuka
110 schema:givenName Hiroko
111 rdf:type schema:Person
112 N874b50f5940242e0aa127b19ff13614a rdf:first N7ad69006c6ee400dbb6b612cfa28a1ed
113 rdf:rest Na94ef29e6e0d4d6aa3a65d95929af7b5
114 N8fdb5cf6b49149a18516e68c5b2cb41e schema:name nlm_unique_id
115 schema:value 101548963
116 rdf:type schema:PropertyValue
117 N92c072f61ccd4d778093bf8bdea6bd3e rdf:first N771f4cbbac3049ad82a93d997b29cfc7
118 rdf:rest N874b50f5940242e0aa127b19ff13614a
119 N9dc6a0b6d0e84af28f91d78c4722b879 schema:name doi
120 schema:value 10.1186/s13293-019-0221-2
121 rdf:type schema:PropertyValue
122 N9f861d3911774258ac143bbfbad0ba7a rdf:first N442e2a940f04441c95fdc2ed5504e0a0
123 rdf:rest N4aa13dca02e84cbbbc4c83af0e94e47b
124 Na174d61355e9432e99b4883de2b8e276 rdf:first N1440c08080ac408196ac5b1b42df01c0
125 rdf:rest N9f861d3911774258ac143bbfbad0ba7a
126 Na94ef29e6e0d4d6aa3a65d95929af7b5 rdf:first Nadd2c13c215a400eafef4d5027b199da
127 rdf:rest Nb00f4df233174405b31ad36f26791878
128 Naae4b1fb44be42b5a43b49a74e7cecc1 schema:affiliation https://www.grid.ac/institutes/grid.263023.6
129 schema:familyName Tsukahara
130 schema:givenName Shinji
131 rdf:type schema:Person
132 Nadd2c13c215a400eafef4d5027b199da schema:affiliation https://www.grid.ac/institutes/grid.263023.6
133 schema:familyName Morishita
134 schema:givenName Masahiro
135 rdf:type schema:Person
136 Nb00f4df233174405b31ad36f26791878 rdf:first Naae4b1fb44be42b5a43b49a74e7cecc1
137 rdf:rest Na174d61355e9432e99b4883de2b8e276
138 Nb7da754b49144f6c822e27655e3fe6e2 schema:issueNumber 1
139 rdf:type schema:PublicationIssue
140 Neeec67b10cb144d79190015f4d3a18aa schema:name Springer Nature - SN SciGraph project
141 rdf:type schema:Organization
142 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
143 schema:name Medical and Health Sciences
144 rdf:type schema:DefinedTerm
145 anzsrc-for:1109 schema:inDefinedTermSet anzsrc-for:
146 schema:name Neurosciences
147 rdf:type schema:DefinedTerm
148 sg:grant.5907689 http://pending.schema.org/fundedItem sg:pub.10.1186/s13293-019-0221-2
149 rdf:type schema:MonetaryGrant
150 sg:journal.1044456 schema:issn 2042-6410
151 schema:name Biology of Sex Differences
152 rdf:type schema:Periodical
153 sg:pub.10.1007/bf00215458 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024985026
154 https://doi.org/10.1007/bf00215458
155 rdf:type schema:CreativeWork
156 sg:pub.10.1007/s00429-016-1303-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028517155
157 https://doi.org/10.1007/s00429-016-1303-0
158 rdf:type schema:CreativeWork
159 sg:pub.10.1007/s10571-011-9774-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035495000
160 https://doi.org/10.1007/s10571-011-9774-2
161 rdf:type schema:CreativeWork
162 sg:pub.10.1038/nature12018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015977588
163 https://doi.org/10.1038/nature12018
164 rdf:type schema:CreativeWork
165 sg:pub.10.1038/npp.2016.174 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038992286
166 https://doi.org/10.1038/npp.2016.174
167 rdf:type schema:CreativeWork
168 sg:pub.10.1038/nrn3945 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014479834
169 https://doi.org/10.1038/nrn3945
170 rdf:type schema:CreativeWork
171 sg:pub.10.1038/sj.mp.4001800 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051348334
172 https://doi.org/10.1038/sj.mp.4001800
173 rdf:type schema:CreativeWork
174 sg:pub.10.3758/cabn.1.4.371 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049486569
175 https://doi.org/10.3758/cabn.1.4.371
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1002/(sici)1097-4695(19980905)36:3<357::aid-neu5>3.0.co;2-v schema:sameAs https://app.dimensions.ai/details/publication/pub.1005836059
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1002/(sici)1097-4695(20000605)43:3<234::aid-neu2>3.0.co;2-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000529549
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1002/0471142301.ns0120s59 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047435435
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1002/0471142301.nsa04is48 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022402610
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1002/cne.1079 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012601144
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1002/cne.22698 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000766606
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1002/cne.24330 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091831029
190 rdf:type schema:CreativeWork
191 https://doi.org/10.1002/cne.902800409 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044290857
192 rdf:type schema:CreativeWork
193 https://doi.org/10.1002/cne.902800410 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000457339
194 rdf:type schema:CreativeWork
195 https://doi.org/10.1002/cne.902830302 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051569530
196 rdf:type schema:CreativeWork
197 https://doi.org/10.1002/cne.902940107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003744729
198 rdf:type schema:CreativeWork
199 https://doi.org/10.1002/dneu.20353 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006435644
200 rdf:type schema:CreativeWork
201 https://doi.org/10.1016/0165-3806(88)90226-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1041158714
202 rdf:type schema:CreativeWork
203 https://doi.org/10.1016/0306-4522(94)90320-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008180227
204 rdf:type schema:CreativeWork
205 https://doi.org/10.1016/b978-0-444-59426-6.00010-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005689465
206 rdf:type schema:CreativeWork
207 https://doi.org/10.1016/j.bbr.2014.01.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007604564
208 rdf:type schema:CreativeWork
209 https://doi.org/10.1016/j.biopsych.2014.12.024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043691348
210 rdf:type schema:CreativeWork
211 https://doi.org/10.1016/j.brainres.2008.05.043 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048743183
212 rdf:type schema:CreativeWork
213 https://doi.org/10.1016/j.neulet.2012.11.065 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048799641
214 rdf:type schema:CreativeWork
215 https://doi.org/10.1016/j.neulet.2016.08.018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042528146
216 rdf:type schema:CreativeWork
217 https://doi.org/10.1016/j.neuroscience.2017.05.020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085435504
218 rdf:type schema:CreativeWork
219 https://doi.org/10.1016/j.pnpbp.2009.06.022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037495217
220 rdf:type schema:CreativeWork
221 https://doi.org/10.1016/j.yhbeh.2006.03.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052099598
222 rdf:type schema:CreativeWork
223 https://doi.org/10.1016/j.yhbeh.2013.08.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028930623
224 rdf:type schema:CreativeWork
225 https://doi.org/10.1016/s0014-2999(03)01282-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052706257
226 rdf:type schema:CreativeWork
227 https://doi.org/10.1016/s0165-0173(01)00079-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023541106
228 rdf:type schema:CreativeWork
229 https://doi.org/10.1016/s0306-4530(03)00055-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038273074
230 rdf:type schema:CreativeWork
231 https://doi.org/10.1055/s-0029-1216274 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057188314
232 rdf:type schema:CreativeWork
233 https://doi.org/10.1111/j.1365-2826.2007.01548.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1047754122
234 rdf:type schema:CreativeWork
235 https://doi.org/10.1111/j.1365-2826.2009.01855.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1003413416
236 rdf:type schema:CreativeWork
237 https://doi.org/10.1111/j.2044-8295.1977.tb01567.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1028084704
238 rdf:type schema:CreativeWork
239 https://doi.org/10.1126/science.6267699 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062635964
240 rdf:type schema:CreativeWork
241 https://doi.org/10.1159/000123454 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049910546
242 rdf:type schema:CreativeWork
243 https://doi.org/10.1210/en.2014-1182 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064252350
244 rdf:type schema:CreativeWork
245 https://doi.org/10.1210/en.2016-1428 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052698502
246 rdf:type schema:CreativeWork
247 https://doi.org/10.1210/endo-124-1-60 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064262067
248 rdf:type schema:CreativeWork
249 https://doi.org/10.1210/endo.134.6.8194481 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064279281
250 rdf:type schema:CreativeWork
251 https://doi.org/10.1523/jneurosci.08-03-00988.1988 schema:sameAs https://app.dimensions.ai/details/publication/pub.1079443227
252 rdf:type schema:CreativeWork
253 https://doi.org/10.1523/jneurosci.1579-14.2014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026618187
254 rdf:type schema:CreativeWork
255 https://doi.org/10.1523/jneurosci.19-01-00420.1999 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083368986
256 rdf:type schema:CreativeWork
257 https://doi.org/10.1523/jneurosci.21-19-07691.2001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074883958
258 rdf:type schema:CreativeWork
259 https://doi.org/10.1523/jneurosci.2119-09.2009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001315546
260 rdf:type schema:CreativeWork
261 https://www.grid.ac/institutes/grid.260975.f schema:alternateName Niigata University
262 schema:name Department of Cellular Neurobiology, Brain Research Institute, Niigata University, Niigata City, Japan
263 rdf:type schema:Organization
264 https://www.grid.ac/institutes/grid.263023.6 schema:alternateName Saitama University
265 schema:name Department of Regulation Biology, Graduate School of Science and Engineering, Saitama University, Saitama City, Japan
266 rdf:type schema:Organization
267 https://www.grid.ac/institutes/grid.69566.3a schema:alternateName Tohoku University
268 schema:name Laboratory of Information Biology, Graduate School of Information Sciences, Tohoku University, Sendai City, Japan
269 rdf:type schema:Organization
 




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


...