Subcongenic analysis of a quantitative trait locus affecting body weight and glucose metabolism in zinc transporter 7 (znt7)-knockout mice View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

L. Huang, S. Tepaamorndech, C. P. Kirschke, Y. Cai, J. Zhao, Xiaohan Cao, Andrew Rao

ABSTRACT

BACKGROUND: A genome-wide mapping study using male F2 zinc transporter 7-knockout mice (znt7-KO) and their wild type littermates in a mixed 129P1/ReJ (129P1) and C57BL/6J (B6) background identified a quantitative trait locus (QTL) on chromosome 7, which had a synergistic effect on body weight gain and fat deposit with the znt7-null mutation. RESULTS: The genetic segment for body weight on mouse chromosome 7 was investigated by newly created subcongenic znt7-KO mouse strains carrying different lengths of genomic segments of chromosome 7 from the 129P1 donor strain in the B6 background. We mapped the sub-QTL for body weight in the proximal region of the previously mapped QTL, ranging from 47.4 to 64.4 megabases (Mb) on chromosome 7. The 129P1 donor allele conferred lower body weight gain and better glucose handling during intraperitoneal glucose challenge than the B6 allele control. We identified four candidate genes, including Htatip2, E030018B13Rik, Nipa1, and Atp10a, in this sub-QTL using quantitative RT-PCR and cSNP detection (single nucleotide polymorphisms in the protein coding region). CONCLUSIONS: This study dissected the genetic determinates of body weight and glucose metabolism in znt7-KO mice. The study demonstrated that a 17-Mb long 129P1 genomic region on mouse chromosome 7 conferred weight reduction and improved glucose tolerance in znt7-KO male mice. Among the four candidate genes identified, Htatip2 is the most likely candidate gene involved in the control of body weight based on its function in regulation of lipid metabolism. The candidate genes discovered in this study lay a foundation for future studies of their roles in development of metabolic diseases, such as obesity and type 2 diabetes. More... »

PAGES

19

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12863-019-0715-2

DOI

http://dx.doi.org/10.1186/s12863-019-0715-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112217051

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30777014


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

JSON-LD is the canonical representation for SciGraph data.

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

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0604", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Genetics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biological Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "name": [
            "Obesity and Metabolism Research Unit, USDA/ARS/Western Human Nutrition Research Center, 430 West Health Sciences Drive, 95616, Davis, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Huang", 
        "givenName": "L.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Center for Genetic Engineering and Biotechnology", 
          "id": "https://www.grid.ac/institutes/grid.419250.b", 
          "name": [
            "Integrative Genetics and Genomics Graduate Group, University of California Davis, One Shields Avenue, 95616, Davis, CA, USA", 
            "Present Address: Food Biotechnology Research Unit, National Center for Genetic Engineering and Biotechnology (BIOTEC), 113 Thailand Science Park, Phahonyothin Road, 12120, Pathum Thani, Thailand"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tepaamorndech", 
        "givenName": "S.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Obesity and Metabolism Research Unit, USDA/ARS/Western Human Nutrition Research Center, 430 West Health Sciences Drive, 95616, Davis, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kirschke", 
        "givenName": "C. P.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of California, Davis", 
          "id": "https://www.grid.ac/institutes/grid.27860.3b", 
          "name": [
            "Graduate Group of Nutritional Biology, University of California Davis, One Shields Avenue, 95616, Davis, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cai", 
        "givenName": "Y.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Nanjing Xiaozhuang University", 
          "id": "https://www.grid.ac/institutes/grid.440845.9", 
          "name": [
            "Department of Nutrition, University of California Davis, One Shields Avenue, 95616, Davis, CA, USA", 
            "School of Food Science, Nanjing Xiaozhuang University, 211171, Nanjing, Jiangsu, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhao", 
        "givenName": "J.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of California, Davis", 
          "id": "https://www.grid.ac/institutes/grid.27860.3b", 
          "name": [
            "Food Science and Technology, University of California Davis, One Shields Avenue, 95616, Davis, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cao", 
        "givenName": "Xiaohan", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of California, Davis", 
          "id": "https://www.grid.ac/institutes/grid.27860.3b", 
          "name": [
            "Department of Nutrition, University of California Davis, One Shields Avenue, 95616, Davis, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rao", 
        "givenName": "Andrew", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1079/bjn19830053", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001595649"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1079/bjn19830053", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001595649"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/mcb.24.16.7091-7101.2004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005239727"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.mam.2012.05.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006183321"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02789090", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006810394", 
          "https://doi.org/10.1007/bf02789090"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02789090", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006810394", 
          "https://doi.org/10.1007/bf02789090"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1155/2012/152902", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008476077"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gks409", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009199363"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m200462200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010117746"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/pmic.201400202", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010628025"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m111.309666", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013375454"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.mam.2012.05.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014644542"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1124/pr.113.008136", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015670588"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m110.207720", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016018408"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m610314200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017175330"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.ijo.0802516", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017682121", 
          "https://doi.org/10.1038/sj.ijo.0802516"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.ijo.0802516", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017682121", 
          "https://doi.org/10.1038/sj.ijo.0802516"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.93.25.14934", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018090428"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m115.655191", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018166312"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.soard.2011.09.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020638056"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00335-014-9512-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021725497", 
          "https://doi.org/10.1007/s00335-014-9512-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m109.093955", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026996376"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/meth.2001.1262", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027621591"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/meth.2001.1262", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027621591"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jnutbio.2006.01.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028771203"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neuroscience.2013.01.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029492390"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/0008-5472.can-10-3057", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030045136"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.wnr.0000239968.06438.c5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033824970"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.wnr.0000239968.06438.c5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033824970"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng1197-292", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035224639", 
          "https://doi.org/10.1038/ng1197-292"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.onc.1201059", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035255795", 
          "https://doi.org/10.1038/sj.onc.1201059"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.onc.1201059", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035255795", 
          "https://doi.org/10.1038/sj.onc.1201059"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00018-008-8588-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036976559", 
          "https://doi.org/10.1007/s00018-008-8588-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00018-008-8588-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036976559", 
          "https://doi.org/10.1007/s00018-008-8588-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4161/cc.9.24.14230", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037816044"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02789140", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039281934", 
          "https://doi.org/10.1007/bf02789140"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02789140", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039281934", 
          "https://doi.org/10.1007/bf02789140"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3892/mmr.2015.4619", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040508596"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3892/mmr.2015.4619", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040508596"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m200910200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041513935"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cam4.728", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041882330"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m115.690727", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042898199"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/geno.1999.5856", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043625172"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.numecd.2008.09.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044040128"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jnutbio.2009.02.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045325539"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/febs.13582", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047540303"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c2mt20088k", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048513712"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m706631200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049498992"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m207644200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051908328"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/diab.41.8.982", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070736872"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1152/physiolgenomics.2000.4.1.93", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074726721"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jn/134.4.799", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1076817017"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jn/137.11.2339", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1077504030"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/j.1460-2075.1995.tb07042.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1082549447"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.molmet.2018.01.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100750717"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.molmet.2018.01.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100750717"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m117.817692", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101623584"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "BACKGROUND: A genome-wide mapping study using male F2 zinc transporter 7-knockout mice (znt7-KO) and their wild type littermates in a mixed 129P1/ReJ (129P1) and C57BL/6J (B6) background identified a quantitative trait locus (QTL) on chromosome 7, which had a synergistic effect on body weight gain and fat deposit with the znt7-null mutation.\nRESULTS: The genetic segment for body weight on mouse chromosome 7 was investigated by newly created subcongenic znt7-KO mouse strains carrying different lengths of genomic segments of chromosome 7 from the 129P1 donor strain in the B6 background. We mapped the sub-QTL for body weight in the proximal region of the previously mapped QTL, ranging from 47.4 to 64.4 megabases (Mb) on chromosome 7. The 129P1 donor allele conferred lower body weight gain and better glucose handling during intraperitoneal glucose challenge than the B6 allele control. We identified four candidate genes, including Htatip2, E030018B13Rik, Nipa1, and Atp10a, in this sub-QTL using quantitative RT-PCR and cSNP detection (single nucleotide polymorphisms in the protein coding region).\nCONCLUSIONS: This study dissected the genetic determinates of body weight and glucose metabolism in znt7-KO mice. The study demonstrated that a 17-Mb long 129P1 genomic region on mouse chromosome 7 conferred weight reduction and improved glucose tolerance in znt7-KO male mice. Among the four candidate genes identified, Htatip2 is the most likely candidate gene involved in the control of body weight based on its function in regulation of lipid metabolism. The candidate genes discovered in this study lay a foundation for future studies of their roles in development of metabolic diseases, such as obesity and type 2 diabetes.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s12863-019-0715-2", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1024251", 
        "issn": [
          "1471-2156"
        ], 
        "name": "BMC Genetics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "20"
      }
    ], 
    "name": "Subcongenic analysis of a quantitative trait locus affecting body weight and glucose metabolism in zinc transporter 7 (znt7)-knockout mice", 
    "pagination": "19", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "86b075332a67918afa1e256bd4e7a2806b43a06a1d8e4813faf54b9f7aaadd93"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30777014"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "100966978"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s12863-019-0715-2"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1112217051"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s12863-019-0715-2", 
      "https://app.dimensions.ai/details/publication/pub.1112217051"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T10:31", 
    "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/v90/0000000349_0000000349/records_113650_00000005.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs12863-019-0715-2"
  }
]
 

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/s12863-019-0715-2'

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/s12863-019-0715-2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12863-019-0715-2'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12863-019-0715-2'


 

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

265 TRIPLES      21 PREDICATES      76 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s12863-019-0715-2 schema:about anzsrc-for:06
2 anzsrc-for:0604
3 schema:author N68e068a3b0154ca88dfbb720405e85bb
4 schema:citation sg:pub.10.1007/bf02789090
5 sg:pub.10.1007/bf02789140
6 sg:pub.10.1007/s00018-008-8588-y
7 sg:pub.10.1007/s00335-014-9512-4
8 sg:pub.10.1038/ng1197-292
9 sg:pub.10.1038/sj.ijo.0802516
10 sg:pub.10.1038/sj.onc.1201059
11 https://doi.org/10.1002/cam4.728
12 https://doi.org/10.1002/j.1460-2075.1995.tb07042.x
13 https://doi.org/10.1002/pmic.201400202
14 https://doi.org/10.1006/geno.1999.5856
15 https://doi.org/10.1006/meth.2001.1262
16 https://doi.org/10.1016/j.jnutbio.2006.01.002
17 https://doi.org/10.1016/j.jnutbio.2009.02.001
18 https://doi.org/10.1016/j.mam.2012.05.008
19 https://doi.org/10.1016/j.mam.2012.05.011
20 https://doi.org/10.1016/j.molmet.2018.01.012
21 https://doi.org/10.1016/j.neuroscience.2013.01.008
22 https://doi.org/10.1016/j.numecd.2008.09.004
23 https://doi.org/10.1016/j.soard.2011.09.015
24 https://doi.org/10.1039/c2mt20088k
25 https://doi.org/10.1073/pnas.93.25.14934
26 https://doi.org/10.1074/jbc.m109.093955
27 https://doi.org/10.1074/jbc.m110.207720
28 https://doi.org/10.1074/jbc.m111.309666
29 https://doi.org/10.1074/jbc.m115.655191
30 https://doi.org/10.1074/jbc.m115.690727
31 https://doi.org/10.1074/jbc.m117.817692
32 https://doi.org/10.1074/jbc.m200462200
33 https://doi.org/10.1074/jbc.m200910200
34 https://doi.org/10.1074/jbc.m207644200
35 https://doi.org/10.1074/jbc.m610314200
36 https://doi.org/10.1074/jbc.m706631200
37 https://doi.org/10.1079/bjn19830053
38 https://doi.org/10.1093/jn/134.4.799
39 https://doi.org/10.1093/jn/137.11.2339
40 https://doi.org/10.1093/nar/gks409
41 https://doi.org/10.1097/01.wnr.0000239968.06438.c5
42 https://doi.org/10.1111/febs.13582
43 https://doi.org/10.1124/pr.113.008136
44 https://doi.org/10.1128/mcb.24.16.7091-7101.2004
45 https://doi.org/10.1152/physiolgenomics.2000.4.1.93
46 https://doi.org/10.1155/2012/152902
47 https://doi.org/10.1158/0008-5472.can-10-3057
48 https://doi.org/10.2337/diab.41.8.982
49 https://doi.org/10.3892/mmr.2015.4619
50 https://doi.org/10.4161/cc.9.24.14230
51 schema:datePublished 2019-12
52 schema:datePublishedReg 2019-12-01
53 schema:description BACKGROUND: A genome-wide mapping study using male F2 zinc transporter 7-knockout mice (znt7-KO) and their wild type littermates in a mixed 129P1/ReJ (129P1) and C57BL/6J (B6) background identified a quantitative trait locus (QTL) on chromosome 7, which had a synergistic effect on body weight gain and fat deposit with the znt7-null mutation. RESULTS: The genetic segment for body weight on mouse chromosome 7 was investigated by newly created subcongenic znt7-KO mouse strains carrying different lengths of genomic segments of chromosome 7 from the 129P1 donor strain in the B6 background. We mapped the sub-QTL for body weight in the proximal region of the previously mapped QTL, ranging from 47.4 to 64.4 megabases (Mb) on chromosome 7. The 129P1 donor allele conferred lower body weight gain and better glucose handling during intraperitoneal glucose challenge than the B6 allele control. We identified four candidate genes, including Htatip2, E030018B13Rik, Nipa1, and Atp10a, in this sub-QTL using quantitative RT-PCR and cSNP detection (single nucleotide polymorphisms in the protein coding region). CONCLUSIONS: This study dissected the genetic determinates of body weight and glucose metabolism in znt7-KO mice. The study demonstrated that a 17-Mb long 129P1 genomic region on mouse chromosome 7 conferred weight reduction and improved glucose tolerance in znt7-KO male mice. Among the four candidate genes identified, Htatip2 is the most likely candidate gene involved in the control of body weight based on its function in regulation of lipid metabolism. The candidate genes discovered in this study lay a foundation for future studies of their roles in development of metabolic diseases, such as obesity and type 2 diabetes.
54 schema:genre research_article
55 schema:inLanguage en
56 schema:isAccessibleForFree true
57 schema:isPartOf N6df65259b6244c4d9b97bde7c04bf1b9
58 Nca8c01d92c6442c0a5de14260a5514b3
59 sg:journal.1024251
60 schema:name Subcongenic analysis of a quantitative trait locus affecting body weight and glucose metabolism in zinc transporter 7 (znt7)-knockout mice
61 schema:pagination 19
62 schema:productId N14934c09fb7244129cd22ff72847aa33
63 N984f83f16cd3455c81d4618aa79b3259
64 Ndbe1d115db574edf8d9aa3e897e34b90
65 Ne7514ba50ead462f9f9d7e7af9d74f01
66 Nfb7dfd7fe0504b84845feb3b536034b5
67 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112217051
68 https://doi.org/10.1186/s12863-019-0715-2
69 schema:sdDatePublished 2019-04-11T10:31
70 schema:sdLicense https://scigraph.springernature.com/explorer/license/
71 schema:sdPublisher Nddd5e676ebe94f2b8b8d33d081e680a0
72 schema:url https://link.springer.com/10.1186%2Fs12863-019-0715-2
73 sgo:license sg:explorer/license/
74 sgo:sdDataset articles
75 rdf:type schema:ScholarlyArticle
76 N046d66a9ae5e48b1b64e704dd0116c3a rdf:first N635ebf0d67d649689a5b4370db897be6
77 rdf:rest Ne35fce0778a245818d59efba8db828e9
78 N1336aa912ce34736bcae8e4bb5ab53ca rdf:first Na4166117465446acbe31aacbb89180f9
79 rdf:rest N046d66a9ae5e48b1b64e704dd0116c3a
80 N14934c09fb7244129cd22ff72847aa33 schema:name pubmed_id
81 schema:value 30777014
82 rdf:type schema:PropertyValue
83 N42379cd6ac36467f8fabcc8af25f6095 schema:name Obesity and Metabolism Research Unit, USDA/ARS/Western Human Nutrition Research Center, 430 West Health Sciences Drive, 95616, Davis, CA, USA
84 rdf:type schema:Organization
85 N635ebf0d67d649689a5b4370db897be6 schema:affiliation https://www.grid.ac/institutes/grid.27860.3b
86 schema:familyName Cai
87 schema:givenName Y.
88 rdf:type schema:Person
89 N68e068a3b0154ca88dfbb720405e85bb rdf:first Nb6352d9677b64d868d675d08681ec71a
90 rdf:rest Ndb4fb13342814dc69f3ed8e4ef481014
91 N6df65259b6244c4d9b97bde7c04bf1b9 schema:issueNumber 1
92 rdf:type schema:PublicationIssue
93 N9045c083503d4c3b826199b1e3fa0083 schema:affiliation https://www.grid.ac/institutes/grid.440845.9
94 schema:familyName Zhao
95 schema:givenName J.
96 rdf:type schema:Person
97 N984f83f16cd3455c81d4618aa79b3259 schema:name readcube_id
98 schema:value 86b075332a67918afa1e256bd4e7a2806b43a06a1d8e4813faf54b9f7aaadd93
99 rdf:type schema:PropertyValue
100 Na4166117465446acbe31aacbb89180f9 schema:affiliation Ne543716c616e4414ab99bfbf6d55f3d4
101 schema:familyName Kirschke
102 schema:givenName C. P.
103 rdf:type schema:Person
104 Nab7b474d5a7e4a7fb8be098a17d60156 rdf:first Nb3ac62900ec2448e944bfb9aae38a219
105 rdf:rest rdf:nil
106 Nb3ac62900ec2448e944bfb9aae38a219 schema:affiliation https://www.grid.ac/institutes/grid.27860.3b
107 schema:familyName Rao
108 schema:givenName Andrew
109 rdf:type schema:Person
110 Nb6352d9677b64d868d675d08681ec71a schema:affiliation N42379cd6ac36467f8fabcc8af25f6095
111 schema:familyName Huang
112 schema:givenName L.
113 rdf:type schema:Person
114 Nbfcfc87521944dcd875e798cc581a390 schema:affiliation https://www.grid.ac/institutes/grid.419250.b
115 schema:familyName Tepaamorndech
116 schema:givenName S.
117 rdf:type schema:Person
118 Nca8c01d92c6442c0a5de14260a5514b3 schema:volumeNumber 20
119 rdf:type schema:PublicationVolume
120 Ndb306488d4524ac489734ad37ad57a05 schema:affiliation https://www.grid.ac/institutes/grid.27860.3b
121 schema:familyName Cao
122 schema:givenName Xiaohan
123 rdf:type schema:Person
124 Ndb4fb13342814dc69f3ed8e4ef481014 rdf:first Nbfcfc87521944dcd875e798cc581a390
125 rdf:rest N1336aa912ce34736bcae8e4bb5ab53ca
126 Ndbe1d115db574edf8d9aa3e897e34b90 schema:name nlm_unique_id
127 schema:value 100966978
128 rdf:type schema:PropertyValue
129 Nddd5e676ebe94f2b8b8d33d081e680a0 schema:name Springer Nature - SN SciGraph project
130 rdf:type schema:Organization
131 Ne35fce0778a245818d59efba8db828e9 rdf:first N9045c083503d4c3b826199b1e3fa0083
132 rdf:rest Nf1666c33250149d9bc633cc511d09cc4
133 Ne543716c616e4414ab99bfbf6d55f3d4 schema:name Obesity and Metabolism Research Unit, USDA/ARS/Western Human Nutrition Research Center, 430 West Health Sciences Drive, 95616, Davis, CA, USA
134 rdf:type schema:Organization
135 Ne7514ba50ead462f9f9d7e7af9d74f01 schema:name dimensions_id
136 schema:value pub.1112217051
137 rdf:type schema:PropertyValue
138 Nf1666c33250149d9bc633cc511d09cc4 rdf:first Ndb306488d4524ac489734ad37ad57a05
139 rdf:rest Nab7b474d5a7e4a7fb8be098a17d60156
140 Nfb7dfd7fe0504b84845feb3b536034b5 schema:name doi
141 schema:value 10.1186/s12863-019-0715-2
142 rdf:type schema:PropertyValue
143 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
144 schema:name Biological Sciences
145 rdf:type schema:DefinedTerm
146 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
147 schema:name Genetics
148 rdf:type schema:DefinedTerm
149 sg:journal.1024251 schema:issn 1471-2156
150 schema:name BMC Genetics
151 rdf:type schema:Periodical
152 sg:pub.10.1007/bf02789090 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006810394
153 https://doi.org/10.1007/bf02789090
154 rdf:type schema:CreativeWork
155 sg:pub.10.1007/bf02789140 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039281934
156 https://doi.org/10.1007/bf02789140
157 rdf:type schema:CreativeWork
158 sg:pub.10.1007/s00018-008-8588-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1036976559
159 https://doi.org/10.1007/s00018-008-8588-y
160 rdf:type schema:CreativeWork
161 sg:pub.10.1007/s00335-014-9512-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021725497
162 https://doi.org/10.1007/s00335-014-9512-4
163 rdf:type schema:CreativeWork
164 sg:pub.10.1038/ng1197-292 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035224639
165 https://doi.org/10.1038/ng1197-292
166 rdf:type schema:CreativeWork
167 sg:pub.10.1038/sj.ijo.0802516 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017682121
168 https://doi.org/10.1038/sj.ijo.0802516
169 rdf:type schema:CreativeWork
170 sg:pub.10.1038/sj.onc.1201059 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035255795
171 https://doi.org/10.1038/sj.onc.1201059
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1002/cam4.728 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041882330
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1002/j.1460-2075.1995.tb07042.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1082549447
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1002/pmic.201400202 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010628025
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1006/geno.1999.5856 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043625172
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1006/meth.2001.1262 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027621591
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1016/j.jnutbio.2006.01.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028771203
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1016/j.jnutbio.2009.02.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045325539
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1016/j.mam.2012.05.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014644542
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1016/j.mam.2012.05.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006183321
190 rdf:type schema:CreativeWork
191 https://doi.org/10.1016/j.molmet.2018.01.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100750717
192 rdf:type schema:CreativeWork
193 https://doi.org/10.1016/j.neuroscience.2013.01.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029492390
194 rdf:type schema:CreativeWork
195 https://doi.org/10.1016/j.numecd.2008.09.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044040128
196 rdf:type schema:CreativeWork
197 https://doi.org/10.1016/j.soard.2011.09.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020638056
198 rdf:type schema:CreativeWork
199 https://doi.org/10.1039/c2mt20088k schema:sameAs https://app.dimensions.ai/details/publication/pub.1048513712
200 rdf:type schema:CreativeWork
201 https://doi.org/10.1073/pnas.93.25.14934 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018090428
202 rdf:type schema:CreativeWork
203 https://doi.org/10.1074/jbc.m109.093955 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026996376
204 rdf:type schema:CreativeWork
205 https://doi.org/10.1074/jbc.m110.207720 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016018408
206 rdf:type schema:CreativeWork
207 https://doi.org/10.1074/jbc.m111.309666 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013375454
208 rdf:type schema:CreativeWork
209 https://doi.org/10.1074/jbc.m115.655191 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018166312
210 rdf:type schema:CreativeWork
211 https://doi.org/10.1074/jbc.m115.690727 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042898199
212 rdf:type schema:CreativeWork
213 https://doi.org/10.1074/jbc.m117.817692 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101623584
214 rdf:type schema:CreativeWork
215 https://doi.org/10.1074/jbc.m200462200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010117746
216 rdf:type schema:CreativeWork
217 https://doi.org/10.1074/jbc.m200910200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041513935
218 rdf:type schema:CreativeWork
219 https://doi.org/10.1074/jbc.m207644200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051908328
220 rdf:type schema:CreativeWork
221 https://doi.org/10.1074/jbc.m610314200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017175330
222 rdf:type schema:CreativeWork
223 https://doi.org/10.1074/jbc.m706631200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049498992
224 rdf:type schema:CreativeWork
225 https://doi.org/10.1079/bjn19830053 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001595649
226 rdf:type schema:CreativeWork
227 https://doi.org/10.1093/jn/134.4.799 schema:sameAs https://app.dimensions.ai/details/publication/pub.1076817017
228 rdf:type schema:CreativeWork
229 https://doi.org/10.1093/jn/137.11.2339 schema:sameAs https://app.dimensions.ai/details/publication/pub.1077504030
230 rdf:type schema:CreativeWork
231 https://doi.org/10.1093/nar/gks409 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009199363
232 rdf:type schema:CreativeWork
233 https://doi.org/10.1097/01.wnr.0000239968.06438.c5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033824970
234 rdf:type schema:CreativeWork
235 https://doi.org/10.1111/febs.13582 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047540303
236 rdf:type schema:CreativeWork
237 https://doi.org/10.1124/pr.113.008136 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015670588
238 rdf:type schema:CreativeWork
239 https://doi.org/10.1128/mcb.24.16.7091-7101.2004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005239727
240 rdf:type schema:CreativeWork
241 https://doi.org/10.1152/physiolgenomics.2000.4.1.93 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074726721
242 rdf:type schema:CreativeWork
243 https://doi.org/10.1155/2012/152902 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008476077
244 rdf:type schema:CreativeWork
245 https://doi.org/10.1158/0008-5472.can-10-3057 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030045136
246 rdf:type schema:CreativeWork
247 https://doi.org/10.2337/diab.41.8.982 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070736872
248 rdf:type schema:CreativeWork
249 https://doi.org/10.3892/mmr.2015.4619 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040508596
250 rdf:type schema:CreativeWork
251 https://doi.org/10.4161/cc.9.24.14230 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037816044
252 rdf:type schema:CreativeWork
253 https://www.grid.ac/institutes/grid.27860.3b schema:alternateName University of California, Davis
254 schema:name Department of Nutrition, University of California Davis, One Shields Avenue, 95616, Davis, CA, USA
255 Food Science and Technology, University of California Davis, One Shields Avenue, 95616, Davis, CA, USA
256 Graduate Group of Nutritional Biology, University of California Davis, One Shields Avenue, 95616, Davis, CA, USA
257 rdf:type schema:Organization
258 https://www.grid.ac/institutes/grid.419250.b schema:alternateName National Center for Genetic Engineering and Biotechnology
259 schema:name Integrative Genetics and Genomics Graduate Group, University of California Davis, One Shields Avenue, 95616, Davis, CA, USA
260 Present Address: Food Biotechnology Research Unit, National Center for Genetic Engineering and Biotechnology (BIOTEC), 113 Thailand Science Park, Phahonyothin Road, 12120, Pathum Thani, Thailand
261 rdf:type schema:Organization
262 https://www.grid.ac/institutes/grid.440845.9 schema:alternateName Nanjing Xiaozhuang University
263 schema:name Department of Nutrition, University of California Davis, One Shields Avenue, 95616, Davis, CA, USA
264 School of Food Science, Nanjing Xiaozhuang University, 211171, Nanjing, Jiangsu, China
265 rdf:type schema:Organization
 




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


...