Mice subjected to aP2-Cre mediated ablation of microsomal triglyceride transfer protein are resistant to high fat diet induced obesity View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-12

AUTHORS

Ahmed Bakillah, M. Mahmood Hussain

ABSTRACT

BACKGROUND: Microsomal triglyceride transfer protein (MTP) is essential for the assembly of lipoproteins. MTP has been shown on the surface of lipid droplets of adipocytes; however its function in adipose tissue is not well defined. We hypothesized that MTP may play critical role in adipose lipid droplet formation and expansion. METHODS: Plasmids mediated overexpression and siRNA mediated knockdown of Mttp gene were performed in 3T3-L1 pre-adipocytes to evaluate the effects of MTP on cell differentiation and triglyceride accumulation. Adipose-specific knockdown of MTP was achieved in mice bybreeding MTP floxed (Mttp (fl/fl) ) mice with aP2-Cre recombinase transgenic mice. Adipose-specific MTP deficient (A-Mttp (-/-) ) mice were fed 60 % high-fat diet (HFD), and the effects of MTP knockdown on body weight, body fat composition, plasma and tissues lipid composition, glucose metabolism, lipogenesis and intestinal absorption was studied. Lipids were measured in total fasting plasma and size fractionated plasma using colorimetric assays. Gene expression was investigated by Real-Time quantitative PCR. All data was assessed using t-test, ANOVA. RESULTS: MTP expression increased during early differentiation in 3T3-L1 cells, and declined later. The increases in MTP expression preceded PPARγ expression. MTP overexpression enhanced lipid droplets formation, and knockdown attenuated cellular lipid accumulation. These studies indicated that MTP positively affects adipogenesis. The ablation of the Mttp gene using aP2-Cre (A-Mttp (-/-) ) in mice resulted in a lean phenotype when fed a HFD. These mice had reduced white adipose tissue compared with wild-type Mttp (fl/fl) mice. The adipose tissue of A-Mttp (-/-) mice had increased number of smaller size adipocytes and less macrophage infiltration. Further, these mice were protected from HFD-induced fatty liver. The A-Mttp (-/-) mice had moderate increase in plasma triglyceride, but normal cholesterol, glucose and insulin levels. Gene expression analysis showed that the adipose tissue of the A-Mttp (-/-) mice had significantly lower mRNA levels of PPARγ and its downstream targets. CONCLUSION: These data suggest that MTP might modulate adipogenesis by influencing PPARγ expression, and play a role in the accretion of lipids to form larger lipid droplets. Thus, agents that inactivate adipose MTP may be useful anti-obesity drugs. More... »

PAGES

1

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12986-016-0061-6

DOI

http://dx.doi.org/10.1186/s12986-016-0061-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1011579492

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/26752997


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/2008/1116", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical Physiology", 
        "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": "SUNY Downstate Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.262863.b", 
          "name": [
            "Department of Cell Biology, SUNY Downstate Medical Center, 450 Clarkson Avenue, 11203, Brooklyn, NY, USA", 
            "Department of Pediatrics, SUNY Downstate Medical Center, 450 Clarkson Avenue, 11203, Brooklyn, NY, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bakillah", 
        "givenName": "Ahmed", 
        "id": "sg:person.0632022614.28", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0632022614.28"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "VA NY Harbor Healthcare System", 
          "id": "https://www.grid.ac/institutes/grid.413926.b", 
          "name": [
            "Department of Cell Biology, SUNY Downstate Medical Center, 450 Clarkson Avenue, 11203, Brooklyn, NY, USA", 
            "Department of Pediatrics, SUNY Downstate Medical Center, 450 Clarkson Avenue, 11203, Brooklyn, NY, USA", 
            "VA New York Harbor Healthcare System, 11209, Brooklyn, NY, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hussain", 
        "givenName": "M. Mahmood", 
        "id": "sg:person.0753770527.47", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0753770527.47"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1073/pnas.0912487106", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000049867"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/b978-0-12-411619-1.00015-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000302940"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1681/asn.2013121336", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000726031"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1681/asn.2013121336", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000726031"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m700500200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002787867"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1056-8727(01)00206-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002860330"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1155/2012/850836", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003138069"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.14348/molcells.2014.0074", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004718171"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/mol.0b013e3283346ccc", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006056474"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/mol.0b013e3283346ccc", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006056474"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/mol.0b013e3283346ccc", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006056474"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.274.38.26761", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007064883"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/diabetes.53.5.1285", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007210639"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1089/scd.2011.0040", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007403409"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.274.10.6051", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007465773"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.0306743102", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007510647"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11010-008-9998-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008299615", 
          "https://doi.org/10.1007/s11010-008-9998-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m114.551242", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009529135"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nprot.2013.055", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011137998", 
          "https://doi.org/10.1038/nprot.2013.055"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m113.459602", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011634569"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/mcb.01122-06", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013140107"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1194/jlr.m031658", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014185458"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1084/jem.20062006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014421589"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/emmm.201100671", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015600253"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3945/an.112.003020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015601730"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cell.2007.10.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015913489"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biocel.2011.04.017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016456304"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m308522200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016470289"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biochi.2013.12.020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017502029"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1042/bj1500167", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019470092"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1042/bj1500167", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019470092"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev-biochem-061009-102430", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019693841"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/mcb.00552-12", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019839134"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m409340200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019862428"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1743-7075-9-14", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019905448", 
          "https://doi.org/10.1186/1743-7075-9-14"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/eji.200738102", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021373737"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.febslet.2005.05.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021679860"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2174/092986709788803132", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022001940"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bbalip.2006.02.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026994010"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m006775200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027034644"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1084/jem.20050183", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027429453"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1517/14728222.2014.991311", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027754317"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1084/jem.20061568", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028560040"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1172/jci46069", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030546491"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1042/bj1010811", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030745835"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1042/bj1010811", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030745835"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/diabetes.52.5.1081", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030891149"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.dsx.2014.09.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031525357"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.274.5.3159", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032437038"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1530/jme-11-0030", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032516332"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cmet.2004.11.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034026290"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1096/fj.15-274597", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034305466"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1152/ajpendo.90899.2008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034538581"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/gad.1709008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035451297"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0135598", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037773707"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0006940", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038315090"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/db11-0425", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040576308"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.94.19.10261", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041554320"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cell.2008.07.048", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042074990"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1194/jlr.d300026-jlr200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042298228"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/mol.0b013e328312707c", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043887304"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/mol.0b013e328312707c", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043887304"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bbadis.2013.05.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044287873"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m512823200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045276622"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1194/jlr.d023788", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045462907"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m403506200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046317087"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0080949", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049350174"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0005300", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050036573"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jacc.2014.01.022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050128457"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.nutres.2010.10.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050559163"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1258/ebm.2010.010063", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052045452"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1258/ebm.2010.010063", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052045452"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0025478", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053146609"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/bi9924009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055218778"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/bi9924009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055218778"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1055/s-2007-990270", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057517371"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1172/jci19246", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063416393"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jn/99.3.345", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1081011871"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1152/physrev.1998.78.3.783", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083294887"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2016-12", 
    "datePublishedReg": "2016-12-01", 
    "description": "BACKGROUND: Microsomal triglyceride transfer protein (MTP) is essential for the assembly of lipoproteins. MTP has been shown on the surface of lipid droplets of adipocytes; however its function in adipose tissue is not well defined. We hypothesized that MTP may play critical role in adipose lipid droplet formation and expansion.\nMETHODS: Plasmids mediated overexpression and siRNA mediated knockdown of Mttp gene were performed in 3T3-L1 pre-adipocytes to evaluate the effects of MTP on cell differentiation and triglyceride accumulation. Adipose-specific knockdown of MTP was achieved in mice bybreeding MTP floxed (Mttp (fl/fl) ) mice with aP2-Cre recombinase transgenic mice. Adipose-specific MTP deficient (A-Mttp (-/-) ) mice were fed 60 % high-fat diet (HFD), and the effects of MTP knockdown on body weight, body fat composition, plasma and tissues lipid composition, glucose metabolism, lipogenesis and intestinal absorption was studied. Lipids were measured in total fasting plasma and size fractionated plasma using colorimetric assays. Gene expression was investigated by Real-Time quantitative PCR. All data was assessed using t-test, ANOVA.\nRESULTS: MTP expression increased during early differentiation in 3T3-L1 cells, and declined later. The increases in MTP expression preceded PPAR\u03b3 expression. MTP overexpression enhanced lipid droplets formation, and knockdown attenuated cellular lipid accumulation. These studies indicated that MTP positively affects adipogenesis. The ablation of the Mttp gene using aP2-Cre (A-Mttp (-/-) ) in mice resulted in a lean phenotype when fed a HFD. These mice had reduced white adipose tissue compared with wild-type Mttp (fl/fl) mice. The adipose tissue of A-Mttp (-/-) mice had increased number of smaller size adipocytes and less macrophage infiltration. Further, these mice were protected from HFD-induced fatty liver. The A-Mttp (-/-) mice had moderate increase in plasma triglyceride, but normal cholesterol, glucose and insulin levels. Gene expression analysis showed that the adipose tissue of the A-Mttp (-/-) mice had significantly lower mRNA levels of PPAR\u03b3 and its downstream targets.\nCONCLUSION: These data suggest that MTP might modulate adipogenesis by influencing PPAR\u03b3 expression, and play a role in the accretion of lipids to form larger lipid droplets. Thus, agents that inactivate adipose MTP may be useful anti-obesity drugs.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s12986-016-0061-6", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2542507", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2401770", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1034448", 
        "issn": [
          "1743-7075"
        ], 
        "name": "Nutrition & Metabolism", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "13"
      }
    ], 
    "name": "Mice subjected to aP2-Cre mediated ablation of microsomal triglyceride transfer protein are resistant to high fat diet induced obesity", 
    "pagination": "1", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "372b7e4f6410a1bd406a34a2d01d14715edb39a70d146fdabcfc4e7f241539ea"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "26752997"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101231644"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s12986-016-0061-6"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1011579492"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s12986-016-0061-6", 
      "https://app.dimensions.ai/details/publication/pub.1011579492"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T16:48", 
    "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/v90/0000000001_0000000264/records_8669_00000549.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1186%2Fs12986-016-0061-6"
  }
]
 

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/s12986-016-0061-6'

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/s12986-016-0061-6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12986-016-0061-6'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12986-016-0061-6'


 

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

301 TRIPLES      21 PREDICATES      100 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s12986-016-0061-6 schema:about anzsrc-for:11
2 anzsrc-for:1116
3 schema:author N0edaf1ba8e9947fdb38c70d953cbd707
4 schema:citation sg:pub.10.1007/s11010-008-9998-8
5 sg:pub.10.1038/nprot.2013.055
6 sg:pub.10.1186/1743-7075-9-14
7 https://doi.org/10.1002/eji.200738102
8 https://doi.org/10.1002/emmm.201100671
9 https://doi.org/10.1016/b978-0-12-411619-1.00015-x
10 https://doi.org/10.1016/j.bbadis.2013.05.007
11 https://doi.org/10.1016/j.bbalip.2006.02.006
12 https://doi.org/10.1016/j.biocel.2011.04.017
13 https://doi.org/10.1016/j.biochi.2013.12.020
14 https://doi.org/10.1016/j.cell.2007.10.004
15 https://doi.org/10.1016/j.cell.2008.07.048
16 https://doi.org/10.1016/j.cmet.2004.11.004
17 https://doi.org/10.1016/j.dsx.2014.09.015
18 https://doi.org/10.1016/j.febslet.2005.05.009
19 https://doi.org/10.1016/j.jacc.2014.01.022
20 https://doi.org/10.1016/j.nutres.2010.10.001
21 https://doi.org/10.1016/s1056-8727(01)00206-9
22 https://doi.org/10.1021/bi9924009
23 https://doi.org/10.1042/bj1010811
24 https://doi.org/10.1042/bj1500167
25 https://doi.org/10.1055/s-2007-990270
26 https://doi.org/10.1073/pnas.0306743102
27 https://doi.org/10.1073/pnas.0912487106
28 https://doi.org/10.1073/pnas.94.19.10261
29 https://doi.org/10.1074/jbc.274.10.6051
30 https://doi.org/10.1074/jbc.274.38.26761
31 https://doi.org/10.1074/jbc.274.5.3159
32 https://doi.org/10.1074/jbc.m006775200
33 https://doi.org/10.1074/jbc.m113.459602
34 https://doi.org/10.1074/jbc.m114.551242
35 https://doi.org/10.1074/jbc.m308522200
36 https://doi.org/10.1074/jbc.m403506200
37 https://doi.org/10.1074/jbc.m409340200
38 https://doi.org/10.1074/jbc.m512823200
39 https://doi.org/10.1074/jbc.m700500200
40 https://doi.org/10.1084/jem.20050183
41 https://doi.org/10.1084/jem.20061568
42 https://doi.org/10.1084/jem.20062006
43 https://doi.org/10.1089/scd.2011.0040
44 https://doi.org/10.1093/jn/99.3.345
45 https://doi.org/10.1096/fj.15-274597
46 https://doi.org/10.1097/mol.0b013e328312707c
47 https://doi.org/10.1097/mol.0b013e3283346ccc
48 https://doi.org/10.1101/gad.1709008
49 https://doi.org/10.1128/mcb.00552-12
50 https://doi.org/10.1128/mcb.01122-06
51 https://doi.org/10.1146/annurev-biochem-061009-102430
52 https://doi.org/10.1152/ajpendo.90899.2008
53 https://doi.org/10.1152/physrev.1998.78.3.783
54 https://doi.org/10.1155/2012/850836
55 https://doi.org/10.1172/jci19246
56 https://doi.org/10.1172/jci46069
57 https://doi.org/10.1194/jlr.d023788
58 https://doi.org/10.1194/jlr.d300026-jlr200
59 https://doi.org/10.1194/jlr.m031658
60 https://doi.org/10.1258/ebm.2010.010063
61 https://doi.org/10.1371/journal.pone.0005300
62 https://doi.org/10.1371/journal.pone.0006940
63 https://doi.org/10.1371/journal.pone.0025478
64 https://doi.org/10.1371/journal.pone.0080949
65 https://doi.org/10.1371/journal.pone.0135598
66 https://doi.org/10.14348/molcells.2014.0074
67 https://doi.org/10.1517/14728222.2014.991311
68 https://doi.org/10.1530/jme-11-0030
69 https://doi.org/10.1681/asn.2013121336
70 https://doi.org/10.2174/092986709788803132
71 https://doi.org/10.2337/db11-0425
72 https://doi.org/10.2337/diabetes.52.5.1081
73 https://doi.org/10.2337/diabetes.53.5.1285
74 https://doi.org/10.3945/an.112.003020
75 schema:datePublished 2016-12
76 schema:datePublishedReg 2016-12-01
77 schema:description BACKGROUND: Microsomal triglyceride transfer protein (MTP) is essential for the assembly of lipoproteins. MTP has been shown on the surface of lipid droplets of adipocytes; however its function in adipose tissue is not well defined. We hypothesized that MTP may play critical role in adipose lipid droplet formation and expansion. METHODS: Plasmids mediated overexpression and siRNA mediated knockdown of Mttp gene were performed in 3T3-L1 pre-adipocytes to evaluate the effects of MTP on cell differentiation and triglyceride accumulation. Adipose-specific knockdown of MTP was achieved in mice bybreeding MTP floxed (Mttp (fl/fl) ) mice with aP2-Cre recombinase transgenic mice. Adipose-specific MTP deficient (A-Mttp (-/-) ) mice were fed 60 % high-fat diet (HFD), and the effects of MTP knockdown on body weight, body fat composition, plasma and tissues lipid composition, glucose metabolism, lipogenesis and intestinal absorption was studied. Lipids were measured in total fasting plasma and size fractionated plasma using colorimetric assays. Gene expression was investigated by Real-Time quantitative PCR. All data was assessed using t-test, ANOVA. RESULTS: MTP expression increased during early differentiation in 3T3-L1 cells, and declined later. The increases in MTP expression preceded PPARγ expression. MTP overexpression enhanced lipid droplets formation, and knockdown attenuated cellular lipid accumulation. These studies indicated that MTP positively affects adipogenesis. The ablation of the Mttp gene using aP2-Cre (A-Mttp (-/-) ) in mice resulted in a lean phenotype when fed a HFD. These mice had reduced white adipose tissue compared with wild-type Mttp (fl/fl) mice. The adipose tissue of A-Mttp (-/-) mice had increased number of smaller size adipocytes and less macrophage infiltration. Further, these mice were protected from HFD-induced fatty liver. The A-Mttp (-/-) mice had moderate increase in plasma triglyceride, but normal cholesterol, glucose and insulin levels. Gene expression analysis showed that the adipose tissue of the A-Mttp (-/-) mice had significantly lower mRNA levels of PPARγ and its downstream targets. CONCLUSION: These data suggest that MTP might modulate adipogenesis by influencing PPARγ expression, and play a role in the accretion of lipids to form larger lipid droplets. Thus, agents that inactivate adipose MTP may be useful anti-obesity drugs.
78 schema:genre research_article
79 schema:inLanguage en
80 schema:isAccessibleForFree true
81 schema:isPartOf N5977317edc8f4431b0d62f847fda4bbf
82 Na6886a87cf9d457a9a6571636251c868
83 sg:journal.1034448
84 schema:name Mice subjected to aP2-Cre mediated ablation of microsomal triglyceride transfer protein are resistant to high fat diet induced obesity
85 schema:pagination 1
86 schema:productId N253e48fbc2d54560951df9619db1aa23
87 N29193e029fc6440bb03786b4847c5296
88 N3d4b56fb12654c75905415297c1b134c
89 N5d93d2815d4d4df896a68b372bcc518a
90 N6e3b286286774b27ba9d1733d8768590
91 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011579492
92 https://doi.org/10.1186/s12986-016-0061-6
93 schema:sdDatePublished 2019-04-10T16:48
94 schema:sdLicense https://scigraph.springernature.com/explorer/license/
95 schema:sdPublisher Ne36f15ae7f1b4b54b98bcdf3bc3cc4a0
96 schema:url http://link.springer.com/10.1186%2Fs12986-016-0061-6
97 sgo:license sg:explorer/license/
98 sgo:sdDataset articles
99 rdf:type schema:ScholarlyArticle
100 N04e1fecdcf30494cb413e8f7df3d114c rdf:first sg:person.0753770527.47
101 rdf:rest rdf:nil
102 N0edaf1ba8e9947fdb38c70d953cbd707 rdf:first sg:person.0632022614.28
103 rdf:rest N04e1fecdcf30494cb413e8f7df3d114c
104 N253e48fbc2d54560951df9619db1aa23 schema:name dimensions_id
105 schema:value pub.1011579492
106 rdf:type schema:PropertyValue
107 N29193e029fc6440bb03786b4847c5296 schema:name doi
108 schema:value 10.1186/s12986-016-0061-6
109 rdf:type schema:PropertyValue
110 N3d4b56fb12654c75905415297c1b134c schema:name pubmed_id
111 schema:value 26752997
112 rdf:type schema:PropertyValue
113 N5977317edc8f4431b0d62f847fda4bbf schema:volumeNumber 13
114 rdf:type schema:PublicationVolume
115 N5d93d2815d4d4df896a68b372bcc518a schema:name nlm_unique_id
116 schema:value 101231644
117 rdf:type schema:PropertyValue
118 N6e3b286286774b27ba9d1733d8768590 schema:name readcube_id
119 schema:value 372b7e4f6410a1bd406a34a2d01d14715edb39a70d146fdabcfc4e7f241539ea
120 rdf:type schema:PropertyValue
121 Na6886a87cf9d457a9a6571636251c868 schema:issueNumber 1
122 rdf:type schema:PublicationIssue
123 Ne36f15ae7f1b4b54b98bcdf3bc3cc4a0 schema:name Springer Nature - SN SciGraph project
124 rdf:type schema:Organization
125 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
126 schema:name Medical and Health Sciences
127 rdf:type schema:DefinedTerm
128 anzsrc-for:1116 schema:inDefinedTermSet anzsrc-for:
129 schema:name Medical Physiology
130 rdf:type schema:DefinedTerm
131 sg:grant.2401770 http://pending.schema.org/fundedItem sg:pub.10.1186/s12986-016-0061-6
132 rdf:type schema:MonetaryGrant
133 sg:grant.2542507 http://pending.schema.org/fundedItem sg:pub.10.1186/s12986-016-0061-6
134 rdf:type schema:MonetaryGrant
135 sg:journal.1034448 schema:issn 1743-7075
136 schema:name Nutrition & Metabolism
137 rdf:type schema:Periodical
138 sg:person.0632022614.28 schema:affiliation https://www.grid.ac/institutes/grid.262863.b
139 schema:familyName Bakillah
140 schema:givenName Ahmed
141 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0632022614.28
142 rdf:type schema:Person
143 sg:person.0753770527.47 schema:affiliation https://www.grid.ac/institutes/grid.413926.b
144 schema:familyName Hussain
145 schema:givenName M. Mahmood
146 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0753770527.47
147 rdf:type schema:Person
148 sg:pub.10.1007/s11010-008-9998-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008299615
149 https://doi.org/10.1007/s11010-008-9998-8
150 rdf:type schema:CreativeWork
151 sg:pub.10.1038/nprot.2013.055 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011137998
152 https://doi.org/10.1038/nprot.2013.055
153 rdf:type schema:CreativeWork
154 sg:pub.10.1186/1743-7075-9-14 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019905448
155 https://doi.org/10.1186/1743-7075-9-14
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1002/eji.200738102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021373737
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1002/emmm.201100671 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015600253
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1016/b978-0-12-411619-1.00015-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1000302940
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1016/j.bbadis.2013.05.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044287873
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1016/j.bbalip.2006.02.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026994010
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1016/j.biocel.2011.04.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016456304
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1016/j.biochi.2013.12.020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017502029
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1016/j.cell.2007.10.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015913489
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1016/j.cell.2008.07.048 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042074990
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1016/j.cmet.2004.11.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034026290
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1016/j.dsx.2014.09.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031525357
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1016/j.febslet.2005.05.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021679860
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1016/j.jacc.2014.01.022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050128457
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1016/j.nutres.2010.10.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050559163
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1016/s1056-8727(01)00206-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002860330
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1021/bi9924009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055218778
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1042/bj1010811 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030745835
190 rdf:type schema:CreativeWork
191 https://doi.org/10.1042/bj1500167 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019470092
192 rdf:type schema:CreativeWork
193 https://doi.org/10.1055/s-2007-990270 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057517371
194 rdf:type schema:CreativeWork
195 https://doi.org/10.1073/pnas.0306743102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007510647
196 rdf:type schema:CreativeWork
197 https://doi.org/10.1073/pnas.0912487106 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000049867
198 rdf:type schema:CreativeWork
199 https://doi.org/10.1073/pnas.94.19.10261 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041554320
200 rdf:type schema:CreativeWork
201 https://doi.org/10.1074/jbc.274.10.6051 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007465773
202 rdf:type schema:CreativeWork
203 https://doi.org/10.1074/jbc.274.38.26761 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007064883
204 rdf:type schema:CreativeWork
205 https://doi.org/10.1074/jbc.274.5.3159 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032437038
206 rdf:type schema:CreativeWork
207 https://doi.org/10.1074/jbc.m006775200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027034644
208 rdf:type schema:CreativeWork
209 https://doi.org/10.1074/jbc.m113.459602 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011634569
210 rdf:type schema:CreativeWork
211 https://doi.org/10.1074/jbc.m114.551242 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009529135
212 rdf:type schema:CreativeWork
213 https://doi.org/10.1074/jbc.m308522200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016470289
214 rdf:type schema:CreativeWork
215 https://doi.org/10.1074/jbc.m403506200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046317087
216 rdf:type schema:CreativeWork
217 https://doi.org/10.1074/jbc.m409340200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019862428
218 rdf:type schema:CreativeWork
219 https://doi.org/10.1074/jbc.m512823200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045276622
220 rdf:type schema:CreativeWork
221 https://doi.org/10.1074/jbc.m700500200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002787867
222 rdf:type schema:CreativeWork
223 https://doi.org/10.1084/jem.20050183 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027429453
224 rdf:type schema:CreativeWork
225 https://doi.org/10.1084/jem.20061568 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028560040
226 rdf:type schema:CreativeWork
227 https://doi.org/10.1084/jem.20062006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014421589
228 rdf:type schema:CreativeWork
229 https://doi.org/10.1089/scd.2011.0040 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007403409
230 rdf:type schema:CreativeWork
231 https://doi.org/10.1093/jn/99.3.345 schema:sameAs https://app.dimensions.ai/details/publication/pub.1081011871
232 rdf:type schema:CreativeWork
233 https://doi.org/10.1096/fj.15-274597 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034305466
234 rdf:type schema:CreativeWork
235 https://doi.org/10.1097/mol.0b013e328312707c schema:sameAs https://app.dimensions.ai/details/publication/pub.1043887304
236 rdf:type schema:CreativeWork
237 https://doi.org/10.1097/mol.0b013e3283346ccc schema:sameAs https://app.dimensions.ai/details/publication/pub.1006056474
238 rdf:type schema:CreativeWork
239 https://doi.org/10.1101/gad.1709008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035451297
240 rdf:type schema:CreativeWork
241 https://doi.org/10.1128/mcb.00552-12 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019839134
242 rdf:type schema:CreativeWork
243 https://doi.org/10.1128/mcb.01122-06 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013140107
244 rdf:type schema:CreativeWork
245 https://doi.org/10.1146/annurev-biochem-061009-102430 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019693841
246 rdf:type schema:CreativeWork
247 https://doi.org/10.1152/ajpendo.90899.2008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034538581
248 rdf:type schema:CreativeWork
249 https://doi.org/10.1152/physrev.1998.78.3.783 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083294887
250 rdf:type schema:CreativeWork
251 https://doi.org/10.1155/2012/850836 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003138069
252 rdf:type schema:CreativeWork
253 https://doi.org/10.1172/jci19246 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063416393
254 rdf:type schema:CreativeWork
255 https://doi.org/10.1172/jci46069 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030546491
256 rdf:type schema:CreativeWork
257 https://doi.org/10.1194/jlr.d023788 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045462907
258 rdf:type schema:CreativeWork
259 https://doi.org/10.1194/jlr.d300026-jlr200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042298228
260 rdf:type schema:CreativeWork
261 https://doi.org/10.1194/jlr.m031658 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014185458
262 rdf:type schema:CreativeWork
263 https://doi.org/10.1258/ebm.2010.010063 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052045452
264 rdf:type schema:CreativeWork
265 https://doi.org/10.1371/journal.pone.0005300 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050036573
266 rdf:type schema:CreativeWork
267 https://doi.org/10.1371/journal.pone.0006940 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038315090
268 rdf:type schema:CreativeWork
269 https://doi.org/10.1371/journal.pone.0025478 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053146609
270 rdf:type schema:CreativeWork
271 https://doi.org/10.1371/journal.pone.0080949 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049350174
272 rdf:type schema:CreativeWork
273 https://doi.org/10.1371/journal.pone.0135598 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037773707
274 rdf:type schema:CreativeWork
275 https://doi.org/10.14348/molcells.2014.0074 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004718171
276 rdf:type schema:CreativeWork
277 https://doi.org/10.1517/14728222.2014.991311 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027754317
278 rdf:type schema:CreativeWork
279 https://doi.org/10.1530/jme-11-0030 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032516332
280 rdf:type schema:CreativeWork
281 https://doi.org/10.1681/asn.2013121336 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000726031
282 rdf:type schema:CreativeWork
283 https://doi.org/10.2174/092986709788803132 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022001940
284 rdf:type schema:CreativeWork
285 https://doi.org/10.2337/db11-0425 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040576308
286 rdf:type schema:CreativeWork
287 https://doi.org/10.2337/diabetes.52.5.1081 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030891149
288 rdf:type schema:CreativeWork
289 https://doi.org/10.2337/diabetes.53.5.1285 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007210639
290 rdf:type schema:CreativeWork
291 https://doi.org/10.3945/an.112.003020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015601730
292 rdf:type schema:CreativeWork
293 https://www.grid.ac/institutes/grid.262863.b schema:alternateName SUNY Downstate Medical Center
294 schema:name Department of Cell Biology, SUNY Downstate Medical Center, 450 Clarkson Avenue, 11203, Brooklyn, NY, USA
295 Department of Pediatrics, SUNY Downstate Medical Center, 450 Clarkson Avenue, 11203, Brooklyn, NY, USA
296 rdf:type schema:Organization
297 https://www.grid.ac/institutes/grid.413926.b schema:alternateName VA NY Harbor Healthcare System
298 schema:name Department of Cell Biology, SUNY Downstate Medical Center, 450 Clarkson Avenue, 11203, Brooklyn, NY, USA
299 Department of Pediatrics, SUNY Downstate Medical Center, 450 Clarkson Avenue, 11203, Brooklyn, NY, USA
300 VA New York Harbor Healthcare System, 11209, Brooklyn, NY, USA
301 rdf:type schema:Organization
 




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


...