Effects of airborne pollutants on mitochondrial DNA Methylation View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2013-12

AUTHORS

Hyang-Min Byun, Tommaso Panni, Valeria Motta, Lifang Hou, Francesco Nordio, Pietro Apostoli, Pier Alberto Bertazzi, Andrea A Baccarelli

ABSTRACT

BACKGROUND: Mitochondria have small mitochondrial DNA (mtDNA) molecules independent from the nuclear DNA, a separate epigenetic machinery that generates mtDNA methylation, and are primary sources of oxidative-stress generation in response to exogenous environments. However, no study has yet investigated whether mitochondrial DNA methylation is sensitive to pro-oxidant environmental exposures. METHODS: We sampled 40 male participants (20 high-, 20 low-exposure) from each of three studies on airborne pollutants, including investigations of steel workers exposed to metal-rich particulate matter (measured as PM1) in Brescia, Italy (Study 1); gas-station attendants exposed to air benzene in Milan, Italy (Study 2); and truck drivers exposed to traffic-derived Elemental Carbon (EC) in Beijing, China (Study 3). We have measured DNA methylation from buffy coats of the participants. We measured methylation by bisulfite-Pyrosequencing in three mtDNA regions, i.e., the transfer RNA phenylalanine (MT-TF), 12S ribosomal RNA (MT-RNR1) gene and "D-loop" control region. All analyses were adjusted for age and smoking. RESULTS: In Study 1, participants with high metal-rich PM1 exposure showed higher MT-TF and MT-RNR1 methylation than low-exposed controls (difference = 1.41, P = 0.002); MT-TF and MT-RNR1 methylation was significantly associated with PM1 exposure (beta = 1.35, P = 0.025); and MT-RNR1 methylation was positively correlated with mtDNA copy number (r = 0.36; P = 0.02). D-loop methylation was not associated with PM1 exposure. We found no effects on mtDNA methylation from air benzene (Study 2) and traffic-derived EC exposure (Study 3). CONCLUSIONS: Mitochondrial MT-TF and MT-RNR1 DNA methylation was associated with metal-rich PM1 exposure and mtDNA copy number. Our results suggest that locus-specific mtDNA methylation is correlated to selected exposures and mtDNA damage. Larger studies are needed to validate our observations. More... »

PAGES

18

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1743-8977-10-18

DOI

http://dx.doi.org/10.1186/1743-8977-10-18

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1052114048

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/23656717


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/2008/1117", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Public Health and Health Services", 
        "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": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Air Pollutants, Occupational", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Air Pollution", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Base Sequence", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Benzene", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "China", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "DNA Methylation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "DNA, Mitochondrial", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Gene Dosage", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Inhalation Exposure", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Italy", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Molecular Sequence Data", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Occupational Exposure", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Particulate Matter", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Real-Time Polymerase Chain Reaction", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sequence Analysis, DNA", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Steel", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Vehicle Emissions", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Harvard University", 
          "id": "https://www.grid.ac/institutes/grid.38142.3c", 
          "name": [
            "Laboratory of Environmental Epigenetics, Exposure Epidemiology and Risk Program, Harvard School of Public Health, Boston, MA, USA", 
            "Laboratory of Environmental Epigenetics, Exposure Epidemiology and Risk Program, Harvard School of Public Health, Room B12, 667 Huntington Avenue, 02115, Boston, MA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Byun", 
        "givenName": "Hyang-Min", 
        "id": "sg:person.01114417047.17", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01114417047.17"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Milano-Bicocca", 
          "id": "https://www.grid.ac/institutes/grid.7563.7", 
          "name": [
            "Laboratory of Environmental Epigenetics, Exposure Epidemiology and Risk Program, Harvard School of Public Health, Boston, MA, USA", 
            "Department of Statistics, University of Milano-Bicocca, Milan, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Panni", 
        "givenName": "Tommaso", 
        "id": "sg:person.0642517242.90", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0642517242.90"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico", 
          "id": "https://www.grid.ac/institutes/grid.414818.0", 
          "name": [
            "Laboratory of Environmental Epigenetics, Exposure Epidemiology and Risk Program, Harvard School of Public Health, Boston, MA, USA", 
            "Department of Environmental and Occupational Health, Universit\u00e0 degli Studi di Milano and IRCCS Ca\u2019 Granda Maggiore Policlinico Hospital, Milan, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Motta", 
        "givenName": "Valeria", 
        "id": "sg:person.0636004442.67", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0636004442.67"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Northwestern University", 
          "id": "https://www.grid.ac/institutes/grid.16753.36", 
          "name": [
            "Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, 680 N. Lakeshore Drive, 60611, Chicago, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hou", 
        "givenName": "Lifang", 
        "id": "sg:person.010530205377.63", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010530205377.63"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Harvard University", 
          "id": "https://www.grid.ac/institutes/grid.38142.3c", 
          "name": [
            "Laboratory of Environmental Epigenetics, Exposure Epidemiology and Risk Program, Harvard School of Public Health, Boston, MA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nordio", 
        "givenName": "Francesco", 
        "id": "sg:person.01135517042.82", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01135517042.82"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Brescia", 
          "id": "https://www.grid.ac/institutes/grid.7637.5", 
          "name": [
            "Department of Experimental and Applied Medicine, Occupational Medicine and Industrial Hygiene, University of Brescia, Brescia, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Apostoli", 
        "givenName": "Pietro", 
        "id": "sg:person.01254361006.61", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01254361006.61"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico", 
          "id": "https://www.grid.ac/institutes/grid.414818.0", 
          "name": [
            "Department of Environmental and Occupational Health, Universit\u00e0 degli Studi di Milano and IRCCS Ca\u2019 Granda Maggiore Policlinico Hospital, Milan, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bertazzi", 
        "givenName": "Pier Alberto", 
        "id": "sg:person.01255635047.36", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01255635047.36"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Harvard University", 
          "id": "https://www.grid.ac/institutes/grid.38142.3c", 
          "name": [
            "Laboratory of Environmental Epigenetics, Exposure Epidemiology and Risk Program, Harvard School of Public Health, Boston, MA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Baccarelli", 
        "givenName": "Andrea A", 
        "id": "sg:person.01065104737.39", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01065104737.39"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1164/rccm.200807-1097oc", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001388377"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0960-8966(03)00168-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002620364"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1155/2011/487074", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005923314"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cmet.2009.03.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011184790"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/12.12.4811", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014981784"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1046/j.1523-1755.2001.059003846.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015819932", 
          "https://doi.org/10.1046/j.1523-1755.2001.059003846.x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1476-069x-9-48", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016446484", 
          "https://doi.org/10.1186/1476-069x-9-48"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1476-069x-10-108", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019667389", 
          "https://doi.org/10.1186/1476-069x-10-108"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1095/biolreprod.112.104802", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020939586"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1743-8977-8-20", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023651743", 
          "https://doi.org/10.1186/1743-8977-8-20"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1289/ehp.1002773", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023967769"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3109/10715762.2011.564169", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024024877"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev.bi.61.070192.005523", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030208056"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.febslet.2008.09.030", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030565688"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.cir.0000128587.30041.c8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030923914"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.dnarep.2005.03.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032597298"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1113/eph8802501", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035749999"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/290457a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038487698", 
          "https://doi.org/10.1038/290457a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1289/ehp.11898", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039567831"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/ede.0b013e3181f20457", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040035491"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/ede.0b013e3181f20457", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040035491"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/ede.0b013e3181f20457", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040035491"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/archneur.63.6.902", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040806737"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0022-2836(71)90195-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042267978"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ijc.24492", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042309511"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ijc.24492", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042309511"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/brain/aws049", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042616457"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1289/ehp.1002486", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042696418"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.0707265105", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042833999"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1423-0127-19-13", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046880133", 
          "https://doi.org/10.1186/1423-0127-19-13"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/0008-5472.can-06-2995", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047392202"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1012311108", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049038658"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ana.410410319", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051130037"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1743-8977-8-25", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052343512", 
          "https://doi.org/10.1186/1743-8977-8-25"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ije/dys020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052494339"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkh739", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052677568"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.184.4132.80", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062509368"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1152/ajplung.00038.2003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063195023"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1212/01.wnl.0000127608.48406.f1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064346029"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1212/01.wnl.0000127608.48406.f1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064346029"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1212/01.wnl.0000127608.48406.f1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064346029"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4161/epi.7.3.19082", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072303232"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1081682640", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2013-12", 
    "datePublishedReg": "2013-12-01", 
    "description": "BACKGROUND: Mitochondria have small mitochondrial DNA (mtDNA) molecules independent from the nuclear DNA, a separate epigenetic machinery that generates mtDNA methylation, and are primary sources of oxidative-stress generation in response to exogenous environments. However, no study has yet investigated whether mitochondrial DNA methylation is sensitive to pro-oxidant environmental exposures.\nMETHODS: We sampled 40 male participants (20 high-, 20 low-exposure) from each of three studies on airborne pollutants, including investigations of steel workers exposed to metal-rich particulate matter (measured as PM1) in Brescia, Italy (Study 1); gas-station attendants exposed to air benzene in Milan, Italy (Study 2); and truck drivers exposed to traffic-derived Elemental Carbon (EC) in Beijing, China (Study 3). We have measured DNA methylation from buffy coats of the participants. We measured methylation by bisulfite-Pyrosequencing in three mtDNA regions, i.e., the transfer RNA phenylalanine (MT-TF), 12S ribosomal RNA (MT-RNR1) gene and \"D-loop\" control region. All analyses were adjusted for age and smoking.\nRESULTS: In Study 1, participants with high metal-rich PM1 exposure showed higher MT-TF and MT-RNR1 methylation than low-exposed controls (difference = 1.41, P = 0.002); MT-TF and MT-RNR1 methylation was significantly associated with PM1 exposure (beta = 1.35, P = 0.025); and MT-RNR1 methylation was positively correlated with mtDNA copy number (r = 0.36; P = 0.02). D-loop methylation was not associated with PM1 exposure. We found no effects on mtDNA methylation from air benzene (Study 2) and traffic-derived EC exposure (Study 3).\nCONCLUSIONS: Mitochondrial MT-TF and MT-RNR1 DNA methylation was associated with metal-rich PM1 exposure and mtDNA copy number. Our results suggest that locus-specific mtDNA methylation is correlated to selected exposures and mtDNA damage. Larger studies are needed to validate our observations.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/1743-8977-10-18", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2611189", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2439076", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2504165", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2611179", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1034805", 
        "issn": [
          "1743-8977"
        ], 
        "name": "Particle and Fibre Toxicology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "10"
      }
    ], 
    "name": "Effects of airborne pollutants on mitochondrial DNA Methylation", 
    "pagination": "18", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "f83ca599b6dcf478c1240aae7e9e51da6bf49f95d02308030b340fc19f000476"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "23656717"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101236354"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/1743-8977-10-18"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1052114048"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/1743-8977-10-18", 
      "https://app.dimensions.ai/details/publication/pub.1052114048"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T01:08", 
    "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/v90/0000000001_0000000264/records_8697_00000516.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1186%2F1743-8977-10-18"
  }
]
 

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.10.1186/1743-8977-10-18'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1743-8977-10-18'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1743-8977-10-18'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1743-8977-10-18'


 

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

344 TRIPLES      21 PREDICATES      88 URIs      42 LITERALS      30 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/1743-8977-10-18 schema:about N269d31455bb544c7b55b93fcb5923950
2 N2d8a87c5ae1f4bc6a231ad3200d652e9
3 N3abca0e5a3074190bc07c6f1a1a66e44
4 N3c2969de07f84430b5db2c1ef37cb1db
5 N5d20720034de4d30bcbbbee718f0056f
6 N6424966727b5460286a2e5ab4f5120c8
7 N67fe64eac8724b818296da61b29873c9
8 N6efa92f94eff449082e4ca5fa28373b3
9 N785746b7685e443ca142300174d91e2d
10 N7995cca38c5442568c4e739116812485
11 N81ae26ba64a54e54997ae0c473be0174
12 N879e5a22ef3a4b7cb27e54b84219b7f4
13 N92bdaf6564db49e99d21997c241aadfc
14 N99de81624e944191ab7dc6de513692dc
15 Nb3d60c65878746599f03403c52763674
16 Nbe759f7af8504aa4a875b9ba8ad80a8a
17 Nc1d7cf65ba32468686878175ca6eda35
18 Nc59dc3323d5c488492e68473e0cae14c
19 Nc6a4b48b258e414c98fd1f07553d5791
20 Ncecfa2c9eb98479dad95f6ea71828ff5
21 Nf0207f946157479e816197f06640f387
22 anzsrc-for:11
23 anzsrc-for:1117
24 schema:author N1cb0c2d8f377471db33e9c20cb6a6da8
25 schema:citation sg:pub.10.1038/290457a0
26 sg:pub.10.1046/j.1523-1755.2001.059003846.x
27 sg:pub.10.1186/1423-0127-19-13
28 sg:pub.10.1186/1476-069x-10-108
29 sg:pub.10.1186/1476-069x-9-48
30 sg:pub.10.1186/1743-8977-8-20
31 sg:pub.10.1186/1743-8977-8-25
32 https://app.dimensions.ai/details/publication/pub.1081682640
33 https://doi.org/10.1001/archneur.63.6.902
34 https://doi.org/10.1002/ana.410410319
35 https://doi.org/10.1002/ijc.24492
36 https://doi.org/10.1016/0022-2836(71)90195-1
37 https://doi.org/10.1016/j.cmet.2009.03.001
38 https://doi.org/10.1016/j.dnarep.2005.03.002
39 https://doi.org/10.1016/j.febslet.2008.09.030
40 https://doi.org/10.1016/s0960-8966(03)00168-8
41 https://doi.org/10.1073/pnas.0707265105
42 https://doi.org/10.1073/pnas.1012311108
43 https://doi.org/10.1093/brain/aws049
44 https://doi.org/10.1093/ije/dys020
45 https://doi.org/10.1093/nar/12.12.4811
46 https://doi.org/10.1093/nar/gkh739
47 https://doi.org/10.1095/biolreprod.112.104802
48 https://doi.org/10.1097/ede.0b013e3181f20457
49 https://doi.org/10.1113/eph8802501
50 https://doi.org/10.1126/science.184.4132.80
51 https://doi.org/10.1146/annurev.bi.61.070192.005523
52 https://doi.org/10.1152/ajplung.00038.2003
53 https://doi.org/10.1155/2011/487074
54 https://doi.org/10.1158/0008-5472.can-06-2995
55 https://doi.org/10.1161/01.cir.0000128587.30041.c8
56 https://doi.org/10.1164/rccm.200807-1097oc
57 https://doi.org/10.1212/01.wnl.0000127608.48406.f1
58 https://doi.org/10.1289/ehp.1002486
59 https://doi.org/10.1289/ehp.1002773
60 https://doi.org/10.1289/ehp.11898
61 https://doi.org/10.3109/10715762.2011.564169
62 https://doi.org/10.4161/epi.7.3.19082
63 schema:datePublished 2013-12
64 schema:datePublishedReg 2013-12-01
65 schema:description BACKGROUND: Mitochondria have small mitochondrial DNA (mtDNA) molecules independent from the nuclear DNA, a separate epigenetic machinery that generates mtDNA methylation, and are primary sources of oxidative-stress generation in response to exogenous environments. However, no study has yet investigated whether mitochondrial DNA methylation is sensitive to pro-oxidant environmental exposures. METHODS: We sampled 40 male participants (20 high-, 20 low-exposure) from each of three studies on airborne pollutants, including investigations of steel workers exposed to metal-rich particulate matter (measured as PM1) in Brescia, Italy (Study 1); gas-station attendants exposed to air benzene in Milan, Italy (Study 2); and truck drivers exposed to traffic-derived Elemental Carbon (EC) in Beijing, China (Study 3). We have measured DNA methylation from buffy coats of the participants. We measured methylation by bisulfite-Pyrosequencing in three mtDNA regions, i.e., the transfer RNA phenylalanine (MT-TF), 12S ribosomal RNA (MT-RNR1) gene and "D-loop" control region. All analyses were adjusted for age and smoking. RESULTS: In Study 1, participants with high metal-rich PM1 exposure showed higher MT-TF and MT-RNR1 methylation than low-exposed controls (difference = 1.41, P = 0.002); MT-TF and MT-RNR1 methylation was significantly associated with PM1 exposure (beta = 1.35, P = 0.025); and MT-RNR1 methylation was positively correlated with mtDNA copy number (r = 0.36; P = 0.02). D-loop methylation was not associated with PM1 exposure. We found no effects on mtDNA methylation from air benzene (Study 2) and traffic-derived EC exposure (Study 3). CONCLUSIONS: Mitochondrial MT-TF and MT-RNR1 DNA methylation was associated with metal-rich PM1 exposure and mtDNA copy number. Our results suggest that locus-specific mtDNA methylation is correlated to selected exposures and mtDNA damage. Larger studies are needed to validate our observations.
66 schema:genre research_article
67 schema:inLanguage en
68 schema:isAccessibleForFree true
69 schema:isPartOf N1ce139e06ad54e2d8ac858cafc511ca3
70 Nde9a9760d8b54af181a7571874248f9a
71 sg:journal.1034805
72 schema:name Effects of airborne pollutants on mitochondrial DNA Methylation
73 schema:pagination 18
74 schema:productId N4cf47912957d4e35a9746d4b48d86fc9
75 N57beb90df43f4c3cb25feac4983d2b33
76 N6f6b79e9c7e242cd87d21c159f5b0009
77 Nd36f8c2aeb0b44fdb718b4a820b90443
78 Ned60f56350ed48c197cca0f59620132f
79 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052114048
80 https://doi.org/10.1186/1743-8977-10-18
81 schema:sdDatePublished 2019-04-11T01:08
82 schema:sdLicense https://scigraph.springernature.com/explorer/license/
83 schema:sdPublisher N2d983acf4b9f47188a78776a7a3e3882
84 schema:url http://link.springer.com/10.1186%2F1743-8977-10-18
85 sgo:license sg:explorer/license/
86 sgo:sdDataset articles
87 rdf:type schema:ScholarlyArticle
88 N1cb0c2d8f377471db33e9c20cb6a6da8 rdf:first sg:person.01114417047.17
89 rdf:rest Nf632d8f1bf6d4b58be1a0b529924b6f3
90 N1ce139e06ad54e2d8ac858cafc511ca3 schema:issueNumber 1
91 rdf:type schema:PublicationIssue
92 N269d31455bb544c7b55b93fcb5923950 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
93 schema:name China
94 rdf:type schema:DefinedTerm
95 N2d8a87c5ae1f4bc6a231ad3200d652e9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
96 schema:name Middle Aged
97 rdf:type schema:DefinedTerm
98 N2d983acf4b9f47188a78776a7a3e3882 schema:name Springer Nature - SN SciGraph project
99 rdf:type schema:Organization
100 N3abca0e5a3074190bc07c6f1a1a66e44 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
101 schema:name Italy
102 rdf:type schema:DefinedTerm
103 N3c2969de07f84430b5db2c1ef37cb1db schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
104 schema:name Vehicle Emissions
105 rdf:type schema:DefinedTerm
106 N4cf47912957d4e35a9746d4b48d86fc9 schema:name nlm_unique_id
107 schema:value 101236354
108 rdf:type schema:PropertyValue
109 N57beb90df43f4c3cb25feac4983d2b33 schema:name doi
110 schema:value 10.1186/1743-8977-10-18
111 rdf:type schema:PropertyValue
112 N5d20720034de4d30bcbbbee718f0056f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
113 schema:name Occupational Exposure
114 rdf:type schema:DefinedTerm
115 N63777f1738c34d2ba62103efbaabbe13 rdf:first sg:person.0636004442.67
116 rdf:rest Nca8cabcf14d144d88185c40f3a456c80
117 N6424966727b5460286a2e5ab4f5120c8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
118 schema:name Inhalation Exposure
119 rdf:type schema:DefinedTerm
120 N67fe64eac8724b818296da61b29873c9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
121 schema:name Sequence Analysis, DNA
122 rdf:type schema:DefinedTerm
123 N6efa92f94eff449082e4ca5fa28373b3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
124 schema:name Steel
125 rdf:type schema:DefinedTerm
126 N6f6b79e9c7e242cd87d21c159f5b0009 schema:name readcube_id
127 schema:value f83ca599b6dcf478c1240aae7e9e51da6bf49f95d02308030b340fc19f000476
128 rdf:type schema:PropertyValue
129 N7538a126a28047a0aa1f842ede70fd97 rdf:first sg:person.01254361006.61
130 rdf:rest N9c5ec81c7d9d4079afec2eecc444a035
131 N785746b7685e443ca142300174d91e2d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
132 schema:name Air Pollution
133 rdf:type schema:DefinedTerm
134 N7995cca38c5442568c4e739116812485 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
135 schema:name Molecular Sequence Data
136 rdf:type schema:DefinedTerm
137 N81ae26ba64a54e54997ae0c473be0174 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
138 schema:name Base Sequence
139 rdf:type schema:DefinedTerm
140 N879e5a22ef3a4b7cb27e54b84219b7f4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
141 schema:name Particulate Matter
142 rdf:type schema:DefinedTerm
143 N92bdaf6564db49e99d21997c241aadfc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
144 schema:name Real-Time Polymerase Chain Reaction
145 rdf:type schema:DefinedTerm
146 N99de81624e944191ab7dc6de513692dc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
147 schema:name Gene Dosage
148 rdf:type schema:DefinedTerm
149 N9b003fb45aa9453ba27b4a04e8509317 rdf:first sg:person.01065104737.39
150 rdf:rest rdf:nil
151 N9c5ec81c7d9d4079afec2eecc444a035 rdf:first sg:person.01255635047.36
152 rdf:rest N9b003fb45aa9453ba27b4a04e8509317
153 Nab317215274d4ee1a2b2a0c7f700fd18 rdf:first sg:person.01135517042.82
154 rdf:rest N7538a126a28047a0aa1f842ede70fd97
155 Nb3d60c65878746599f03403c52763674 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
156 schema:name Adult
157 rdf:type schema:DefinedTerm
158 Nbe759f7af8504aa4a875b9ba8ad80a8a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
159 schema:name Male
160 rdf:type schema:DefinedTerm
161 Nc1d7cf65ba32468686878175ca6eda35 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
162 schema:name Air Pollutants, Occupational
163 rdf:type schema:DefinedTerm
164 Nc59dc3323d5c488492e68473e0cae14c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
165 schema:name Benzene
166 rdf:type schema:DefinedTerm
167 Nc6a4b48b258e414c98fd1f07553d5791 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
168 schema:name Humans
169 rdf:type schema:DefinedTerm
170 Nca8cabcf14d144d88185c40f3a456c80 rdf:first sg:person.010530205377.63
171 rdf:rest Nab317215274d4ee1a2b2a0c7f700fd18
172 Ncecfa2c9eb98479dad95f6ea71828ff5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
173 schema:name DNA Methylation
174 rdf:type schema:DefinedTerm
175 Nd36f8c2aeb0b44fdb718b4a820b90443 schema:name pubmed_id
176 schema:value 23656717
177 rdf:type schema:PropertyValue
178 Nde9a9760d8b54af181a7571874248f9a schema:volumeNumber 10
179 rdf:type schema:PublicationVolume
180 Ned60f56350ed48c197cca0f59620132f schema:name dimensions_id
181 schema:value pub.1052114048
182 rdf:type schema:PropertyValue
183 Nf0207f946157479e816197f06640f387 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
184 schema:name DNA, Mitochondrial
185 rdf:type schema:DefinedTerm
186 Nf632d8f1bf6d4b58be1a0b529924b6f3 rdf:first sg:person.0642517242.90
187 rdf:rest N63777f1738c34d2ba62103efbaabbe13
188 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
189 schema:name Medical and Health Sciences
190 rdf:type schema:DefinedTerm
191 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
192 schema:name Public Health and Health Services
193 rdf:type schema:DefinedTerm
194 sg:grant.2439076 http://pending.schema.org/fundedItem sg:pub.10.1186/1743-8977-10-18
195 rdf:type schema:MonetaryGrant
196 sg:grant.2504165 http://pending.schema.org/fundedItem sg:pub.10.1186/1743-8977-10-18
197 rdf:type schema:MonetaryGrant
198 sg:grant.2611179 http://pending.schema.org/fundedItem sg:pub.10.1186/1743-8977-10-18
199 rdf:type schema:MonetaryGrant
200 sg:grant.2611189 http://pending.schema.org/fundedItem sg:pub.10.1186/1743-8977-10-18
201 rdf:type schema:MonetaryGrant
202 sg:journal.1034805 schema:issn 1743-8977
203 schema:name Particle and Fibre Toxicology
204 rdf:type schema:Periodical
205 sg:person.010530205377.63 schema:affiliation https://www.grid.ac/institutes/grid.16753.36
206 schema:familyName Hou
207 schema:givenName Lifang
208 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010530205377.63
209 rdf:type schema:Person
210 sg:person.01065104737.39 schema:affiliation https://www.grid.ac/institutes/grid.38142.3c
211 schema:familyName Baccarelli
212 schema:givenName Andrea A
213 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01065104737.39
214 rdf:type schema:Person
215 sg:person.01114417047.17 schema:affiliation https://www.grid.ac/institutes/grid.38142.3c
216 schema:familyName Byun
217 schema:givenName Hyang-Min
218 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01114417047.17
219 rdf:type schema:Person
220 sg:person.01135517042.82 schema:affiliation https://www.grid.ac/institutes/grid.38142.3c
221 schema:familyName Nordio
222 schema:givenName Francesco
223 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01135517042.82
224 rdf:type schema:Person
225 sg:person.01254361006.61 schema:affiliation https://www.grid.ac/institutes/grid.7637.5
226 schema:familyName Apostoli
227 schema:givenName Pietro
228 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01254361006.61
229 rdf:type schema:Person
230 sg:person.01255635047.36 schema:affiliation https://www.grid.ac/institutes/grid.414818.0
231 schema:familyName Bertazzi
232 schema:givenName Pier Alberto
233 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01255635047.36
234 rdf:type schema:Person
235 sg:person.0636004442.67 schema:affiliation https://www.grid.ac/institutes/grid.414818.0
236 schema:familyName Motta
237 schema:givenName Valeria
238 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0636004442.67
239 rdf:type schema:Person
240 sg:person.0642517242.90 schema:affiliation https://www.grid.ac/institutes/grid.7563.7
241 schema:familyName Panni
242 schema:givenName Tommaso
243 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0642517242.90
244 rdf:type schema:Person
245 sg:pub.10.1038/290457a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038487698
246 https://doi.org/10.1038/290457a0
247 rdf:type schema:CreativeWork
248 sg:pub.10.1046/j.1523-1755.2001.059003846.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1015819932
249 https://doi.org/10.1046/j.1523-1755.2001.059003846.x
250 rdf:type schema:CreativeWork
251 sg:pub.10.1186/1423-0127-19-13 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046880133
252 https://doi.org/10.1186/1423-0127-19-13
253 rdf:type schema:CreativeWork
254 sg:pub.10.1186/1476-069x-10-108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019667389
255 https://doi.org/10.1186/1476-069x-10-108
256 rdf:type schema:CreativeWork
257 sg:pub.10.1186/1476-069x-9-48 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016446484
258 https://doi.org/10.1186/1476-069x-9-48
259 rdf:type schema:CreativeWork
260 sg:pub.10.1186/1743-8977-8-20 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023651743
261 https://doi.org/10.1186/1743-8977-8-20
262 rdf:type schema:CreativeWork
263 sg:pub.10.1186/1743-8977-8-25 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052343512
264 https://doi.org/10.1186/1743-8977-8-25
265 rdf:type schema:CreativeWork
266 https://app.dimensions.ai/details/publication/pub.1081682640 schema:CreativeWork
267 https://doi.org/10.1001/archneur.63.6.902 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040806737
268 rdf:type schema:CreativeWork
269 https://doi.org/10.1002/ana.410410319 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051130037
270 rdf:type schema:CreativeWork
271 https://doi.org/10.1002/ijc.24492 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042309511
272 rdf:type schema:CreativeWork
273 https://doi.org/10.1016/0022-2836(71)90195-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042267978
274 rdf:type schema:CreativeWork
275 https://doi.org/10.1016/j.cmet.2009.03.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011184790
276 rdf:type schema:CreativeWork
277 https://doi.org/10.1016/j.dnarep.2005.03.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032597298
278 rdf:type schema:CreativeWork
279 https://doi.org/10.1016/j.febslet.2008.09.030 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030565688
280 rdf:type schema:CreativeWork
281 https://doi.org/10.1016/s0960-8966(03)00168-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002620364
282 rdf:type schema:CreativeWork
283 https://doi.org/10.1073/pnas.0707265105 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042833999
284 rdf:type schema:CreativeWork
285 https://doi.org/10.1073/pnas.1012311108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049038658
286 rdf:type schema:CreativeWork
287 https://doi.org/10.1093/brain/aws049 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042616457
288 rdf:type schema:CreativeWork
289 https://doi.org/10.1093/ije/dys020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052494339
290 rdf:type schema:CreativeWork
291 https://doi.org/10.1093/nar/12.12.4811 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014981784
292 rdf:type schema:CreativeWork
293 https://doi.org/10.1093/nar/gkh739 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052677568
294 rdf:type schema:CreativeWork
295 https://doi.org/10.1095/biolreprod.112.104802 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020939586
296 rdf:type schema:CreativeWork
297 https://doi.org/10.1097/ede.0b013e3181f20457 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040035491
298 rdf:type schema:CreativeWork
299 https://doi.org/10.1113/eph8802501 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035749999
300 rdf:type schema:CreativeWork
301 https://doi.org/10.1126/science.184.4132.80 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062509368
302 rdf:type schema:CreativeWork
303 https://doi.org/10.1146/annurev.bi.61.070192.005523 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030208056
304 rdf:type schema:CreativeWork
305 https://doi.org/10.1152/ajplung.00038.2003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063195023
306 rdf:type schema:CreativeWork
307 https://doi.org/10.1155/2011/487074 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005923314
308 rdf:type schema:CreativeWork
309 https://doi.org/10.1158/0008-5472.can-06-2995 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047392202
310 rdf:type schema:CreativeWork
311 https://doi.org/10.1161/01.cir.0000128587.30041.c8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030923914
312 rdf:type schema:CreativeWork
313 https://doi.org/10.1164/rccm.200807-1097oc schema:sameAs https://app.dimensions.ai/details/publication/pub.1001388377
314 rdf:type schema:CreativeWork
315 https://doi.org/10.1212/01.wnl.0000127608.48406.f1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064346029
316 rdf:type schema:CreativeWork
317 https://doi.org/10.1289/ehp.1002486 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042696418
318 rdf:type schema:CreativeWork
319 https://doi.org/10.1289/ehp.1002773 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023967769
320 rdf:type schema:CreativeWork
321 https://doi.org/10.1289/ehp.11898 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039567831
322 rdf:type schema:CreativeWork
323 https://doi.org/10.3109/10715762.2011.564169 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024024877
324 rdf:type schema:CreativeWork
325 https://doi.org/10.4161/epi.7.3.19082 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072303232
326 rdf:type schema:CreativeWork
327 https://www.grid.ac/institutes/grid.16753.36 schema:alternateName Northwestern University
328 schema:name Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, 680 N. Lakeshore Drive, 60611, Chicago, USA
329 rdf:type schema:Organization
330 https://www.grid.ac/institutes/grid.38142.3c schema:alternateName Harvard University
331 schema:name Laboratory of Environmental Epigenetics, Exposure Epidemiology and Risk Program, Harvard School of Public Health, Boston, MA, USA
332 Laboratory of Environmental Epigenetics, Exposure Epidemiology and Risk Program, Harvard School of Public Health, Room B12, 667 Huntington Avenue, 02115, Boston, MA, USA
333 rdf:type schema:Organization
334 https://www.grid.ac/institutes/grid.414818.0 schema:alternateName Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico
335 schema:name Department of Environmental and Occupational Health, Università degli Studi di Milano and IRCCS Ca’ Granda Maggiore Policlinico Hospital, Milan, Italy
336 Laboratory of Environmental Epigenetics, Exposure Epidemiology and Risk Program, Harvard School of Public Health, Boston, MA, USA
337 rdf:type schema:Organization
338 https://www.grid.ac/institutes/grid.7563.7 schema:alternateName University of Milano-Bicocca
339 schema:name Department of Statistics, University of Milano-Bicocca, Milan, Italy
340 Laboratory of Environmental Epigenetics, Exposure Epidemiology and Risk Program, Harvard School of Public Health, Boston, MA, USA
341 rdf:type schema:Organization
342 https://www.grid.ac/institutes/grid.7637.5 schema:alternateName University of Brescia
343 schema:name Department of Experimental and Applied Medicine, Occupational Medicine and Industrial Hygiene, University of Brescia, Brescia, Italy
344 rdf:type schema:Organization
 




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


...