Intergenerational inheritance of high fat diet-induced cardiac lipotoxicity in Drosophila View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Maria Clara Guida, Ryan Tyge Birse, Alessandra Dall’Agnese, Paula Coutinho Toto, Soda Balla Diop, Antonello Mai, Peter D. Adams, Pier Lorenzo Puri, Rolf Bodmer

ABSTRACT

Obesity is strongly correlated with lipotoxic cardiomyopathy, heart failure and thus mortality. The incidence of obesity has reached alarming proportions worldwide, and increasing evidence suggests that the parents' nutritional status may predispose their offspring to lipotoxic cardiomyopathy. However, to date, mechanisms underlying intergenerational heart disease risks have yet to be elucidated. Here we report that cardiac dysfunction induced by high-fat-diet (HFD) persists for two subsequent generations in Drosophila and is associated with reduced expression of two key metabolic regulators, adipose triglyceride lipase (ATGL/bmm) and transcriptional cofactor PGC-1. We provide evidence that targeted expression of ATGL/bmm in the offspring of HFD-fed parents protects them, and the subsequent generation, from cardio-lipotoxicity. Furthermore, we find that intergenerational inheritance of lipotoxic cardiomyopathy correlates with elevated systemic H3K27 trimethylation. Lowering H3K27 trimethylation genetically or pharmacologically in the offspring of HFD-fed parents prevents cardiac pathology. This suggests that metabolic homeostasis is epigenetically regulated across generations. More... »

PAGES

193

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41467-018-08128-3

DOI

http://dx.doi.org/10.1038/s41467-018-08128-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111273828

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30643137


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/2008/1102", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Cardiorespiratory Medicine and Haematology", 
        "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"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Animals", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Animals, Genetically Modified", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cardiomyopathies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Diet, High-Fat", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Disease Models, Animal", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Drosophila", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Drosophila Proteins", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genetic Predisposition to Disease", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Histones", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Lipase", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Lipid Metabolism", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Methylation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Myocardium", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Obesity", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Positive Transcriptional Elongation Factor B", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Triglycerides", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Sanford Burnham Prebys Medical Discovery Institute", 
          "id": "https://www.grid.ac/institutes/grid.479509.6", 
          "name": [
            "Development, Aging and Regeneration Program, Sanford-Burnham-Prebys Medical Discovery Institute, 10901 N. Torrey Pines Road, 92037, La Jolla, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Guida", 
        "givenName": "Maria Clara", 
        "id": "sg:person.0766307250.82", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0766307250.82"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Sanford Burnham Prebys Medical Discovery Institute", 
          "id": "https://www.grid.ac/institutes/grid.479509.6", 
          "name": [
            "Development, Aging and Regeneration Program, Sanford-Burnham-Prebys Medical Discovery Institute, 10901 N. Torrey Pines Road, 92037, La Jolla, CA, USA", 
            "Biocompatibles Inc., 300 Four Falls Corporate Center, 300 Conshohocken State Road, 19428-2998, West Conshohocken, PA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Birse", 
        "givenName": "Ryan Tyge", 
        "id": "sg:person.01214300752.18", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01214300752.18"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Massachusetts Institute of Technology", 
          "id": "https://www.grid.ac/institutes/grid.116068.8", 
          "name": [
            "Development, Aging and Regeneration Program, Sanford-Burnham-Prebys Medical Discovery Institute, 10901 N. Torrey Pines Road, 92037, La Jolla, CA, USA", 
            "Whitehead Institute for Biomedical Research, 455 Main Street, 02142, Cambridge, MA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dall\u2019Agnese", 
        "givenName": "Alessandra", 
        "id": "sg:person.0726532657.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0726532657.02"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Sanford Burnham Prebys Medical Discovery Institute", 
          "id": "https://www.grid.ac/institutes/grid.479509.6", 
          "name": [
            "Development, Aging and Regeneration Program, Sanford-Burnham-Prebys Medical Discovery Institute, 10901 N. Torrey Pines Road, 92037, La Jolla, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Toto", 
        "givenName": "Paula Coutinho", 
        "id": "sg:person.012424234315.05", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012424234315.05"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Sanford Burnham Prebys Medical Discovery Institute", 
          "id": "https://www.grid.ac/institutes/grid.479509.6", 
          "name": [
            "Development, Aging and Regeneration Program, Sanford-Burnham-Prebys Medical Discovery Institute, 10901 N. Torrey Pines Road, 92037, La Jolla, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Diop", 
        "givenName": "Soda Balla", 
        "id": "sg:person.01316527353.53", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01316527353.53"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Sapienza University of Rome", 
          "id": "https://www.grid.ac/institutes/grid.7841.a", 
          "name": [
            "Sapienza Universit\u00e0 di Roma, 00185, Rome, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mai", 
        "givenName": "Antonello", 
        "id": "sg:person.0775346552.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0775346552.16"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Sanford Burnham Prebys Medical Discovery Institute", 
          "id": "https://www.grid.ac/institutes/grid.479509.6", 
          "name": [
            "Development, Aging and Regeneration Program, Sanford-Burnham-Prebys Medical Discovery Institute, 10901 N. Torrey Pines Road, 92037, La Jolla, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Adams", 
        "givenName": "Peter D.", 
        "id": "sg:person.01044462144.80", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01044462144.80"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Fondazione Santa Lucia", 
          "id": "https://www.grid.ac/institutes/grid.417778.a", 
          "name": [
            "Development, Aging and Regeneration Program, Sanford-Burnham-Prebys Medical Discovery Institute, 10901 N. Torrey Pines Road, 92037, La Jolla, CA, USA", 
            "IRCCS Fondazione Santa Lucia, 00142, Rome, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Puri", 
        "givenName": "Pier Lorenzo", 
        "id": "sg:person.01032112624.37", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01032112624.37"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Sanford Burnham Prebys Medical Discovery Institute", 
          "id": "https://www.grid.ac/institutes/grid.479509.6", 
          "name": [
            "Development, Aging and Regeneration Program, Sanford-Burnham-Prebys Medical Discovery Institute, 10901 N. Torrey Pines Road, 92037, La Jolla, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bodmer", 
        "givenName": "Rolf", 
        "id": "sg:person.0661742263.01", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0661742263.01"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1128/mcb.01633-09", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001163173"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/508s58a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001536618", 
          "https://doi.org/10.1038/508s58a"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1471-0528.2008.01822.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001758247"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1083/jcb.105.5.2095", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004850837"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/jech.46.1.8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006711051"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0066816", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009237406"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.mce.2012.08.018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009594938"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.116.191783", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010327573"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.116.191783", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010327573"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.tem.2015.09.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011286293"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.celrep.2015.02.022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011423091"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.celrep.2015.02.022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011423091"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.celrep.2015.02.022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011423091"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cbpa.2016.06.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012960351"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3389/fphys.2016.00504", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014939389"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1242/dev.00205", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015627548"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cell.2014.11.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015784917"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.yjmcc.2012.06.018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015998490"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.yjmcc.2012.08.023", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018518256"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0061627", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019612556"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1515/bmc-2015-0009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019615811"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1038/emboj.2009.330", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019980041"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/acel.12543", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020245965"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1255023", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020356898"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1255903", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023069195"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.aab2006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024629513"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00125-015-3588-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025751857", 
          "https://doi.org/10.1007/s00125-015-3588-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00125-015-3588-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025751857", 
          "https://doi.org/10.1007/s00125-015-3588-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1159/000322038", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028737578"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng1476", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028975686", 
          "https://doi.org/10.1038/ng1476"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng1476", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028975686", 
          "https://doi.org/10.1038/ng1476"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/db12-0927", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032721625"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cmet.2005.04.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033951228"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nm.2439", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034294891", 
          "https://doi.org/10.1038/nm.2439"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.devcel.2011.11.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034679922"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pgen.1003175", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035677605"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1242/dmm.011924", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037423571"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cmet.2008.06.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038836235"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1152/ajpregu.00316.2007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039499577"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1242/dev.02077", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039745970"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.1068", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040450238", 
          "https://doi.org/10.1038/ng.1068"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cmet.2010.09.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040642772"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0960-9822(98)70091-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040678135"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.molmet.2013.10.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043059332"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/b978-0-12-381332-9.00002-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044029407"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0023796", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045037597"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ijo.2011.150", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045482847", 
          "https://doi.org/10.1038/ijo.2011.150"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/onc.2013.471", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045551883", 
          "https://doi.org/10.1038/onc.2013.471"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.tcm.2007.04.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047176840"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cell.2010.12.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048525570"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ymeth.2014.03.031", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050296286"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ymeth.2014.03.031", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050296286"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m115.711028", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058214530"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/pdb.prot4825", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060410804"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/pdb.prot4826", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060410805"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bmj.310.6977.411", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062770933"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bmj.310.6977.411", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062770933"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bmj.311.6998.171", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062772625"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bmj.311.6998.171", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062772625"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074547519", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2144/04371st01", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1076872293"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082709342", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/cvr/cvx017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083931237"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cmet.2017.02.016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084066610"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3791/56029", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091700636"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "Obesity is strongly correlated with lipotoxic cardiomyopathy, heart failure and thus mortality. The incidence of obesity has reached alarming proportions worldwide, and increasing evidence suggests that the parents' nutritional status may predispose their offspring to lipotoxic cardiomyopathy. However, to date, mechanisms underlying intergenerational heart disease risks have yet to be elucidated. Here we report that cardiac dysfunction induced by high-fat-diet (HFD) persists for two subsequent generations in Drosophila and is associated with reduced expression of two key metabolic regulators, adipose triglyceride lipase (ATGL/bmm) and transcriptional cofactor PGC-1. We provide evidence that targeted expression of ATGL/bmm in the offspring of HFD-fed parents protects them, and the subsequent generation, from cardio-lipotoxicity. Furthermore, we find that intergenerational inheritance of lipotoxic cardiomyopathy correlates with elevated systemic H3K27 trimethylation. Lowering H3K27 trimethylation genetically or pharmacologically in the offspring of HFD-fed parents prevents cardiac pathology. This suggests that metabolic homeostasis is epigenetically regulated across generations.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/s41467-018-08128-3", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2580998", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2535218", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1043282", 
        "issn": [
          "2041-1723"
        ], 
        "name": "Nature Communications", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "10"
      }
    ], 
    "name": "Intergenerational inheritance of high fat diet-induced cardiac lipotoxicity in Drosophila", 
    "pagination": "193", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "20a32302cbe11ebcfa54863a5f7f8a4956a63c935d31ef34f04eb9f6ed260c1c"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30643137"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101528555"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/s41467-018-08128-3"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1111273828"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/s41467-018-08128-3", 
      "https://app.dimensions.ai/details/publication/pub.1111273828"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T09:08", 
    "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/v90/0000000338_0000000338/records_47957_00000002.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/s41467-018-08128-3"
  }
]
 

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.10.1038/s41467-018-08128-3'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41467-018-08128-3'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41467-018-08128-3'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41467-018-08128-3'


 

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

392 TRIPLES      21 PREDICATES      105 URIs      40 LITERALS      28 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/s41467-018-08128-3 schema:about N09135b19c10941fd8bf3078a0c0fbcff
2 N1a72f8a269094cd2a67c21193737a676
3 N3983bf7297724df2a0896f1f0101e454
4 N3d37f1515f06462abe8594c4aa063124
5 N42ffe8ad2d6240d58009826f64d05aef
6 N4414ce1df2394e7d907393036a252e55
7 N51653927555b4693b071f4142660ebaf
8 N5792d3e384e14d55a8b442d2b75bde06
9 N5ba051dc20724335bb8360c154416b20
10 N6137a3eb9a4b4616bc53f22109ec37cd
11 N745093b7c2664e15a705b147a25152a9
12 N7f709f0c59a8413d8284fb9626d91ed1
13 N82e7931e8ea94c95923bcecddaf4e622
14 N83b802425204415a82b485de1d0e83c9
15 N928c840572c84cdb980a573b787578f2
16 Naafae150552d4522b1aac09d9ef1b6ff
17 Nbf98765e7cd742478fd530e460e7171a
18 Nc80134a4c32a49a7b4d9cd8954c28a8d
19 Nf1419a5d029b40b8a84100cc6bcc042f
20 anzsrc-for:11
21 anzsrc-for:1102
22 schema:author N5e113615651548838d32a5b61632cfa3
23 schema:citation sg:pub.10.1007/s00125-015-3588-6
24 sg:pub.10.1038/508s58a
25 sg:pub.10.1038/ijo.2011.150
26 sg:pub.10.1038/ng.1068
27 sg:pub.10.1038/ng1476
28 sg:pub.10.1038/nm.2439
29 sg:pub.10.1038/onc.2013.471
30 https://app.dimensions.ai/details/publication/pub.1074547519
31 https://app.dimensions.ai/details/publication/pub.1082709342
32 https://doi.org/10.1016/b978-0-12-381332-9.00002-5
33 https://doi.org/10.1016/j.cbpa.2016.06.008
34 https://doi.org/10.1016/j.cell.2010.12.008
35 https://doi.org/10.1016/j.cell.2014.11.005
36 https://doi.org/10.1016/j.celrep.2015.02.022
37 https://doi.org/10.1016/j.cmet.2005.04.003
38 https://doi.org/10.1016/j.cmet.2008.06.007
39 https://doi.org/10.1016/j.cmet.2010.09.014
40 https://doi.org/10.1016/j.cmet.2017.02.016
41 https://doi.org/10.1016/j.devcel.2011.11.009
42 https://doi.org/10.1016/j.mce.2012.08.018
43 https://doi.org/10.1016/j.molmet.2013.10.003
44 https://doi.org/10.1016/j.tcm.2007.04.001
45 https://doi.org/10.1016/j.tem.2015.09.009
46 https://doi.org/10.1016/j.yjmcc.2012.06.018
47 https://doi.org/10.1016/j.yjmcc.2012.08.023
48 https://doi.org/10.1016/j.ymeth.2014.03.031
49 https://doi.org/10.1016/s0960-9822(98)70091-0
50 https://doi.org/10.1038/emboj.2009.330
51 https://doi.org/10.1074/jbc.m115.711028
52 https://doi.org/10.1083/jcb.105.5.2095
53 https://doi.org/10.1093/cvr/cvx017
54 https://doi.org/10.1101/pdb.prot4825
55 https://doi.org/10.1101/pdb.prot4826
56 https://doi.org/10.1111/acel.12543
57 https://doi.org/10.1111/j.1471-0528.2008.01822.x
58 https://doi.org/10.1126/science.1255023
59 https://doi.org/10.1126/science.1255903
60 https://doi.org/10.1126/science.aab2006
61 https://doi.org/10.1128/mcb.01633-09
62 https://doi.org/10.1136/bmj.310.6977.411
63 https://doi.org/10.1136/bmj.311.6998.171
64 https://doi.org/10.1136/jech.46.1.8
65 https://doi.org/10.1152/ajpregu.00316.2007
66 https://doi.org/10.1159/000322038
67 https://doi.org/10.1242/dev.00205
68 https://doi.org/10.1242/dev.02077
69 https://doi.org/10.1242/dmm.011924
70 https://doi.org/10.1371/journal.pgen.1003175
71 https://doi.org/10.1371/journal.pone.0023796
72 https://doi.org/10.1371/journal.pone.0061627
73 https://doi.org/10.1371/journal.pone.0066816
74 https://doi.org/10.1515/bmc-2015-0009
75 https://doi.org/10.1534/genetics.116.191783
76 https://doi.org/10.2144/04371st01
77 https://doi.org/10.2337/db12-0927
78 https://doi.org/10.3389/fphys.2016.00504
79 https://doi.org/10.3791/56029
80 schema:datePublished 2019-12
81 schema:datePublishedReg 2019-12-01
82 schema:description Obesity is strongly correlated with lipotoxic cardiomyopathy, heart failure and thus mortality. The incidence of obesity has reached alarming proportions worldwide, and increasing evidence suggests that the parents' nutritional status may predispose their offspring to lipotoxic cardiomyopathy. However, to date, mechanisms underlying intergenerational heart disease risks have yet to be elucidated. Here we report that cardiac dysfunction induced by high-fat-diet (HFD) persists for two subsequent generations in Drosophila and is associated with reduced expression of two key metabolic regulators, adipose triglyceride lipase (ATGL/bmm) and transcriptional cofactor PGC-1. We provide evidence that targeted expression of ATGL/bmm in the offspring of HFD-fed parents protects them, and the subsequent generation, from cardio-lipotoxicity. Furthermore, we find that intergenerational inheritance of lipotoxic cardiomyopathy correlates with elevated systemic H3K27 trimethylation. Lowering H3K27 trimethylation genetically or pharmacologically in the offspring of HFD-fed parents prevents cardiac pathology. This suggests that metabolic homeostasis is epigenetically regulated across generations.
83 schema:genre research_article
84 schema:inLanguage en
85 schema:isAccessibleForFree true
86 schema:isPartOf N3c7b28cb97954dcba32b787e235f74c4
87 N7bc61e5662aa4781b29b5776e1558fe9
88 sg:journal.1043282
89 schema:name Intergenerational inheritance of high fat diet-induced cardiac lipotoxicity in Drosophila
90 schema:pagination 193
91 schema:productId N025a9e5c94564708a8b397d0fc460a6d
92 N6f00ef3d207740718d15f1a489f411b8
93 N7e22eee32ea24675bcbe97a1e0bc7e23
94 Nddb80a7a9ea54774929b3d4986b54013
95 Neef0d8d8bda747db92b845cbb57d1fc0
96 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111273828
97 https://doi.org/10.1038/s41467-018-08128-3
98 schema:sdDatePublished 2019-04-11T09:08
99 schema:sdLicense https://scigraph.springernature.com/explorer/license/
100 schema:sdPublisher N49b9a1bab9cd41eabd7bf0defea0f8b8
101 schema:url https://www.nature.com/articles/s41467-018-08128-3
102 sgo:license sg:explorer/license/
103 sgo:sdDataset articles
104 rdf:type schema:ScholarlyArticle
105 N025a9e5c94564708a8b397d0fc460a6d schema:name nlm_unique_id
106 schema:value 101528555
107 rdf:type schema:PropertyValue
108 N09135b19c10941fd8bf3078a0c0fbcff schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
109 schema:name Genetic Predisposition to Disease
110 rdf:type schema:DefinedTerm
111 N1a52581c2e314ca5aa8a08bda1231e96 rdf:first sg:person.01032112624.37
112 rdf:rest N8a038c8ed2ea4896876b5365229cc0c9
113 N1a72f8a269094cd2a67c21193737a676 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
114 schema:name Disease Models, Animal
115 rdf:type schema:DefinedTerm
116 N217a605a51af4e539e904b9ea833fa49 rdf:first sg:person.01214300752.18
117 rdf:rest N786774715371463dab8b474643bebdea
118 N339bb62a38f742328ca1f272178c9814 rdf:first sg:person.01044462144.80
119 rdf:rest N1a52581c2e314ca5aa8a08bda1231e96
120 N3983bf7297724df2a0896f1f0101e454 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
121 schema:name Lipid Metabolism
122 rdf:type schema:DefinedTerm
123 N3c7b28cb97954dcba32b787e235f74c4 schema:issueNumber 1
124 rdf:type schema:PublicationIssue
125 N3d37f1515f06462abe8594c4aa063124 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
126 schema:name Lipase
127 rdf:type schema:DefinedTerm
128 N42ffe8ad2d6240d58009826f64d05aef schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
129 schema:name Animals
130 rdf:type schema:DefinedTerm
131 N4414ce1df2394e7d907393036a252e55 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
132 schema:name Myocardium
133 rdf:type schema:DefinedTerm
134 N49b9a1bab9cd41eabd7bf0defea0f8b8 schema:name Springer Nature - SN SciGraph project
135 rdf:type schema:Organization
136 N51653927555b4693b071f4142660ebaf schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
137 schema:name Animals, Genetically Modified
138 rdf:type schema:DefinedTerm
139 N5792d3e384e14d55a8b442d2b75bde06 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
140 schema:name Female
141 rdf:type schema:DefinedTerm
142 N5ba051dc20724335bb8360c154416b20 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
143 schema:name Triglycerides
144 rdf:type schema:DefinedTerm
145 N5e113615651548838d32a5b61632cfa3 rdf:first sg:person.0766307250.82
146 rdf:rest N217a605a51af4e539e904b9ea833fa49
147 N6137a3eb9a4b4616bc53f22109ec37cd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
148 schema:name Methylation
149 rdf:type schema:DefinedTerm
150 N6f00ef3d207740718d15f1a489f411b8 schema:name readcube_id
151 schema:value 20a32302cbe11ebcfa54863a5f7f8a4956a63c935d31ef34f04eb9f6ed260c1c
152 rdf:type schema:PropertyValue
153 N745093b7c2664e15a705b147a25152a9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
154 schema:name Humans
155 rdf:type schema:DefinedTerm
156 N786774715371463dab8b474643bebdea rdf:first sg:person.0726532657.02
157 rdf:rest Na97783b3417b430eb4e925a5e8f8f342
158 N7bc61e5662aa4781b29b5776e1558fe9 schema:volumeNumber 10
159 rdf:type schema:PublicationVolume
160 N7e22eee32ea24675bcbe97a1e0bc7e23 schema:name pubmed_id
161 schema:value 30643137
162 rdf:type schema:PropertyValue
163 N7f709f0c59a8413d8284fb9626d91ed1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
164 schema:name Histones
165 rdf:type schema:DefinedTerm
166 N82e7931e8ea94c95923bcecddaf4e622 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
167 schema:name Drosophila Proteins
168 rdf:type schema:DefinedTerm
169 N83b802425204415a82b485de1d0e83c9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
170 schema:name Obesity
171 rdf:type schema:DefinedTerm
172 N883bfb5e7705460cb98b6ac7b4822a50 rdf:first sg:person.0775346552.16
173 rdf:rest N339bb62a38f742328ca1f272178c9814
174 N8a038c8ed2ea4896876b5365229cc0c9 rdf:first sg:person.0661742263.01
175 rdf:rest rdf:nil
176 N928c840572c84cdb980a573b787578f2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
177 schema:name Drosophila
178 rdf:type schema:DefinedTerm
179 Na9745495dca6407cbeb9543d1a6365f2 rdf:first sg:person.01316527353.53
180 rdf:rest N883bfb5e7705460cb98b6ac7b4822a50
181 Na97783b3417b430eb4e925a5e8f8f342 rdf:first sg:person.012424234315.05
182 rdf:rest Na9745495dca6407cbeb9543d1a6365f2
183 Naafae150552d4522b1aac09d9ef1b6ff schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
184 schema:name Male
185 rdf:type schema:DefinedTerm
186 Nbf98765e7cd742478fd530e460e7171a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
187 schema:name Diet, High-Fat
188 rdf:type schema:DefinedTerm
189 Nc80134a4c32a49a7b4d9cd8954c28a8d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
190 schema:name Cardiomyopathies
191 rdf:type schema:DefinedTerm
192 Nddb80a7a9ea54774929b3d4986b54013 schema:name doi
193 schema:value 10.1038/s41467-018-08128-3
194 rdf:type schema:PropertyValue
195 Neef0d8d8bda747db92b845cbb57d1fc0 schema:name dimensions_id
196 schema:value pub.1111273828
197 rdf:type schema:PropertyValue
198 Nf1419a5d029b40b8a84100cc6bcc042f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
199 schema:name Positive Transcriptional Elongation Factor B
200 rdf:type schema:DefinedTerm
201 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
202 schema:name Medical and Health Sciences
203 rdf:type schema:DefinedTerm
204 anzsrc-for:1102 schema:inDefinedTermSet anzsrc-for:
205 schema:name Cardiorespiratory Medicine and Haematology
206 rdf:type schema:DefinedTerm
207 sg:grant.2535218 http://pending.schema.org/fundedItem sg:pub.10.1038/s41467-018-08128-3
208 rdf:type schema:MonetaryGrant
209 sg:grant.2580998 http://pending.schema.org/fundedItem sg:pub.10.1038/s41467-018-08128-3
210 rdf:type schema:MonetaryGrant
211 sg:journal.1043282 schema:issn 2041-1723
212 schema:name Nature Communications
213 rdf:type schema:Periodical
214 sg:person.01032112624.37 schema:affiliation https://www.grid.ac/institutes/grid.417778.a
215 schema:familyName Puri
216 schema:givenName Pier Lorenzo
217 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01032112624.37
218 rdf:type schema:Person
219 sg:person.01044462144.80 schema:affiliation https://www.grid.ac/institutes/grid.479509.6
220 schema:familyName Adams
221 schema:givenName Peter D.
222 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01044462144.80
223 rdf:type schema:Person
224 sg:person.01214300752.18 schema:affiliation https://www.grid.ac/institutes/grid.479509.6
225 schema:familyName Birse
226 schema:givenName Ryan Tyge
227 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01214300752.18
228 rdf:type schema:Person
229 sg:person.012424234315.05 schema:affiliation https://www.grid.ac/institutes/grid.479509.6
230 schema:familyName Toto
231 schema:givenName Paula Coutinho
232 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012424234315.05
233 rdf:type schema:Person
234 sg:person.01316527353.53 schema:affiliation https://www.grid.ac/institutes/grid.479509.6
235 schema:familyName Diop
236 schema:givenName Soda Balla
237 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01316527353.53
238 rdf:type schema:Person
239 sg:person.0661742263.01 schema:affiliation https://www.grid.ac/institutes/grid.479509.6
240 schema:familyName Bodmer
241 schema:givenName Rolf
242 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0661742263.01
243 rdf:type schema:Person
244 sg:person.0726532657.02 schema:affiliation https://www.grid.ac/institutes/grid.116068.8
245 schema:familyName Dall’Agnese
246 schema:givenName Alessandra
247 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0726532657.02
248 rdf:type schema:Person
249 sg:person.0766307250.82 schema:affiliation https://www.grid.ac/institutes/grid.479509.6
250 schema:familyName Guida
251 schema:givenName Maria Clara
252 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0766307250.82
253 rdf:type schema:Person
254 sg:person.0775346552.16 schema:affiliation https://www.grid.ac/institutes/grid.7841.a
255 schema:familyName Mai
256 schema:givenName Antonello
257 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0775346552.16
258 rdf:type schema:Person
259 sg:pub.10.1007/s00125-015-3588-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025751857
260 https://doi.org/10.1007/s00125-015-3588-6
261 rdf:type schema:CreativeWork
262 sg:pub.10.1038/508s58a schema:sameAs https://app.dimensions.ai/details/publication/pub.1001536618
263 https://doi.org/10.1038/508s58a
264 rdf:type schema:CreativeWork
265 sg:pub.10.1038/ijo.2011.150 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045482847
266 https://doi.org/10.1038/ijo.2011.150
267 rdf:type schema:CreativeWork
268 sg:pub.10.1038/ng.1068 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040450238
269 https://doi.org/10.1038/ng.1068
270 rdf:type schema:CreativeWork
271 sg:pub.10.1038/ng1476 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028975686
272 https://doi.org/10.1038/ng1476
273 rdf:type schema:CreativeWork
274 sg:pub.10.1038/nm.2439 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034294891
275 https://doi.org/10.1038/nm.2439
276 rdf:type schema:CreativeWork
277 sg:pub.10.1038/onc.2013.471 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045551883
278 https://doi.org/10.1038/onc.2013.471
279 rdf:type schema:CreativeWork
280 https://app.dimensions.ai/details/publication/pub.1074547519 schema:CreativeWork
281 https://app.dimensions.ai/details/publication/pub.1082709342 schema:CreativeWork
282 https://doi.org/10.1016/b978-0-12-381332-9.00002-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044029407
283 rdf:type schema:CreativeWork
284 https://doi.org/10.1016/j.cbpa.2016.06.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012960351
285 rdf:type schema:CreativeWork
286 https://doi.org/10.1016/j.cell.2010.12.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048525570
287 rdf:type schema:CreativeWork
288 https://doi.org/10.1016/j.cell.2014.11.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015784917
289 rdf:type schema:CreativeWork
290 https://doi.org/10.1016/j.celrep.2015.02.022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011423091
291 rdf:type schema:CreativeWork
292 https://doi.org/10.1016/j.cmet.2005.04.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033951228
293 rdf:type schema:CreativeWork
294 https://doi.org/10.1016/j.cmet.2008.06.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038836235
295 rdf:type schema:CreativeWork
296 https://doi.org/10.1016/j.cmet.2010.09.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040642772
297 rdf:type schema:CreativeWork
298 https://doi.org/10.1016/j.cmet.2017.02.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084066610
299 rdf:type schema:CreativeWork
300 https://doi.org/10.1016/j.devcel.2011.11.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034679922
301 rdf:type schema:CreativeWork
302 https://doi.org/10.1016/j.mce.2012.08.018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009594938
303 rdf:type schema:CreativeWork
304 https://doi.org/10.1016/j.molmet.2013.10.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043059332
305 rdf:type schema:CreativeWork
306 https://doi.org/10.1016/j.tcm.2007.04.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047176840
307 rdf:type schema:CreativeWork
308 https://doi.org/10.1016/j.tem.2015.09.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011286293
309 rdf:type schema:CreativeWork
310 https://doi.org/10.1016/j.yjmcc.2012.06.018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015998490
311 rdf:type schema:CreativeWork
312 https://doi.org/10.1016/j.yjmcc.2012.08.023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018518256
313 rdf:type schema:CreativeWork
314 https://doi.org/10.1016/j.ymeth.2014.03.031 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050296286
315 rdf:type schema:CreativeWork
316 https://doi.org/10.1016/s0960-9822(98)70091-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040678135
317 rdf:type schema:CreativeWork
318 https://doi.org/10.1038/emboj.2009.330 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019980041
319 rdf:type schema:CreativeWork
320 https://doi.org/10.1074/jbc.m115.711028 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058214530
321 rdf:type schema:CreativeWork
322 https://doi.org/10.1083/jcb.105.5.2095 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004850837
323 rdf:type schema:CreativeWork
324 https://doi.org/10.1093/cvr/cvx017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083931237
325 rdf:type schema:CreativeWork
326 https://doi.org/10.1101/pdb.prot4825 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060410804
327 rdf:type schema:CreativeWork
328 https://doi.org/10.1101/pdb.prot4826 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060410805
329 rdf:type schema:CreativeWork
330 https://doi.org/10.1111/acel.12543 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020245965
331 rdf:type schema:CreativeWork
332 https://doi.org/10.1111/j.1471-0528.2008.01822.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1001758247
333 rdf:type schema:CreativeWork
334 https://doi.org/10.1126/science.1255023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020356898
335 rdf:type schema:CreativeWork
336 https://doi.org/10.1126/science.1255903 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023069195
337 rdf:type schema:CreativeWork
338 https://doi.org/10.1126/science.aab2006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024629513
339 rdf:type schema:CreativeWork
340 https://doi.org/10.1128/mcb.01633-09 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001163173
341 rdf:type schema:CreativeWork
342 https://doi.org/10.1136/bmj.310.6977.411 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062770933
343 rdf:type schema:CreativeWork
344 https://doi.org/10.1136/bmj.311.6998.171 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062772625
345 rdf:type schema:CreativeWork
346 https://doi.org/10.1136/jech.46.1.8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006711051
347 rdf:type schema:CreativeWork
348 https://doi.org/10.1152/ajpregu.00316.2007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039499577
349 rdf:type schema:CreativeWork
350 https://doi.org/10.1159/000322038 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028737578
351 rdf:type schema:CreativeWork
352 https://doi.org/10.1242/dev.00205 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015627548
353 rdf:type schema:CreativeWork
354 https://doi.org/10.1242/dev.02077 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039745970
355 rdf:type schema:CreativeWork
356 https://doi.org/10.1242/dmm.011924 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037423571
357 rdf:type schema:CreativeWork
358 https://doi.org/10.1371/journal.pgen.1003175 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035677605
359 rdf:type schema:CreativeWork
360 https://doi.org/10.1371/journal.pone.0023796 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045037597
361 rdf:type schema:CreativeWork
362 https://doi.org/10.1371/journal.pone.0061627 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019612556
363 rdf:type schema:CreativeWork
364 https://doi.org/10.1371/journal.pone.0066816 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009237406
365 rdf:type schema:CreativeWork
366 https://doi.org/10.1515/bmc-2015-0009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019615811
367 rdf:type schema:CreativeWork
368 https://doi.org/10.1534/genetics.116.191783 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010327573
369 rdf:type schema:CreativeWork
370 https://doi.org/10.2144/04371st01 schema:sameAs https://app.dimensions.ai/details/publication/pub.1076872293
371 rdf:type schema:CreativeWork
372 https://doi.org/10.2337/db12-0927 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032721625
373 rdf:type schema:CreativeWork
374 https://doi.org/10.3389/fphys.2016.00504 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014939389
375 rdf:type schema:CreativeWork
376 https://doi.org/10.3791/56029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091700636
377 rdf:type schema:CreativeWork
378 https://www.grid.ac/institutes/grid.116068.8 schema:alternateName Massachusetts Institute of Technology
379 schema:name Development, Aging and Regeneration Program, Sanford-Burnham-Prebys Medical Discovery Institute, 10901 N. Torrey Pines Road, 92037, La Jolla, CA, USA
380 Whitehead Institute for Biomedical Research, 455 Main Street, 02142, Cambridge, MA, USA
381 rdf:type schema:Organization
382 https://www.grid.ac/institutes/grid.417778.a schema:alternateName Fondazione Santa Lucia
383 schema:name Development, Aging and Regeneration Program, Sanford-Burnham-Prebys Medical Discovery Institute, 10901 N. Torrey Pines Road, 92037, La Jolla, CA, USA
384 IRCCS Fondazione Santa Lucia, 00142, Rome, Italy
385 rdf:type schema:Organization
386 https://www.grid.ac/institutes/grid.479509.6 schema:alternateName Sanford Burnham Prebys Medical Discovery Institute
387 schema:name Biocompatibles Inc., 300 Four Falls Corporate Center, 300 Conshohocken State Road, 19428-2998, West Conshohocken, PA, USA
388 Development, Aging and Regeneration Program, Sanford-Burnham-Prebys Medical Discovery Institute, 10901 N. Torrey Pines Road, 92037, La Jolla, CA, USA
389 rdf:type schema:Organization
390 https://www.grid.ac/institutes/grid.7841.a schema:alternateName Sapienza University of Rome
391 schema:name Sapienza Università di Roma, 00185, Rome, Italy
392 rdf:type schema:Organization
 




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


...