Fasting differentially alters the hypothalamic proteome of chickens from lines with the propensity to be anorexic or obese View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-12

AUTHORS

Lingbin Liu, Jiaqing Yi, W. Keith Ray, Lucas T. Vu, Richard F. Helm, Paul B. Siegel, Mark A. Cline, Elizabeth R. Gilbert

ABSTRACT

BACKGROUND: The hypothalamus is the ultimate modulator of appetite and energy balance and therefore sensitive to changes in nutritional state. Chicks from lines selected for low (LWS) and high (HWS) body weight are hypophagic and compulsive eaters, respectively, and differ in their propensity to become obese and in their hypothalamic mRNA response to fasting. METHODS: As fasting-induced changes in hypothalamic proteins are unknown, we investigated the hypothalamic proteomes of 5-day old LWS and HWS chicks in the fed and fasted states using a label-free liquid chromatography-tandem mass spectrometry (LC-MS/MS) approach. RESULTS: A total of 744 proteins were identified in the chicken hypothalamus, and 268 differentially abundant proteins were identified among four pairwise comparisons. Ninety-five proteins were associated with the response to fasting in HWS chicks, and 23 proteins were associated with the response to fasting in LWS chicks. Fasting-responsive proteins in HWS chicks were significantly enriched in ATP metabolic processes, glyoxylate/dicarboxylate metabolism, and ribosome function. There was no enrichment for any pathways in LWS chicks in response to fasting. In the fasted and fed states, 159 and 119 proteins differed between HWS and LWS, respectively. Oxidative phosphorylation, citric acid cycle, and carbon metabolism were the main pathways associated with differences between the two lines of chicks. Enzymes associated with metabolic pathways differed between HWS and LWS in both nutritional states, including fumarase, aspartate aminotransferase, mitochondrial GOT2, 3-hydroxyisobutyrate dehydrogenase, chondrogenesis associated lipocalin, sialic acid synthase, arylamine N-acetyltransferase, pineal gland isozyme NAT-3, and succinate dehydrogenase [ubiquinone] flavoprotein subunit, mitochondrial. CONCLUSIONS: These results provide insights into the hypothalamic metabolic pathways that are affected by nutritional status and the regulation of appetite and eating behavior. More... »

PAGES

13

References to SciGraph publications

  • 2010-12. Sequence variants in four candidate genes (NIPSNAP1, GBAS, CHCHD1 and METT11D1) in patients with combined oxidative phosphorylation system deficiencies in JOURNAL OF INHERITED METABOLIC DISEASE
  • 2015-04. Hypothalamic differences in expression of genes involved in monoamine synthesis and signaling pathways after insulin injection in chickens from lines selected for high and low body weight in NEUROGENETICS
  • 2003-11. The role and potential of sialic acid in human nutrition in EUROPEAN JOURNAL OF CLINICAL NUTRITION
  • 2016-09. The Perseus computational platform for comprehensive analysis of (prote)omics data in NATURE METHODS
  • 2018. Proteomics in Domestic Animals: from Farm to Systems Biology in NONE
  • 2016-07. NANS-mediated synthesis of sialic acid is required for brain and skeletal development in NATURE GENETICS
  • 2011-08. Differentially expressed genes in hypothalamus in relation to genomic regions under selection in two chicken lines resulting from divergent selection for high or low body weight in NEUROGENETICS
  • 2013-04. Characterization of 3-hydroxyisobutyrate dehydrogenase, HIBADH, as a sperm-motility marker in JOURNAL OF ASSISTED REPRODUCTION AND GENETICS
  • 2016-03-24. Label-free quantification in ion mobility-enhanced data-independent acquisition proteomics in NATURE PROTOCOLS
  • 1988-05. Anorexia and sexual maturity in female white rock chickens. I. Increasing the feed intake in BEHAVIOR GENETICS
  • 1983-05. Genetic selection for growth rate alters hypothalamic satiety mechanisms in chickens in BEHAVIOR GENETICS
  • 2013-10. Effects of cell surface α2-3 sialic acid on osteogenesis in GLYCOCONJUGATE JOURNAL
  • 2017-12. Structure of the human TRiC/CCT Subunit 5 associated with hereditary sensory neuropathy in SCIENTIFIC REPORTS
  • 2014-10. Chickens from lines selected for high and low body weight show differences in fatty acid oxidation efficiency and metabolic flexibility in skeletal muscle and white adipose tissue in INTERNATIONAL JOURNAL OF OBESITY
  • 2017-12. Identification of protein biomarkers and signaling pathways associated with prostate cancer radioresistance using label-free LC-MS/MS proteomic approach in SCIENTIFIC REPORTS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/s41387-019-0081-1

    DOI

    http://dx.doi.org/10.1038/s41387-019-0081-1

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1113157529

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30931934


    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/2008/0601", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Biochemistry and Cell Biology", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Biological Sciences", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Southwest University", 
              "id": "https://www.grid.ac/institutes/grid.263906.8", 
              "name": [
                "College of Animal Science and Technology, Southwest University, Chongqing, P.R. China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Liu", 
            "givenName": "Lingbin", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Virginia Tech", 
              "id": "https://www.grid.ac/institutes/grid.438526.e", 
              "name": [
                "Virginia Tech, Department of Animal and Poultry Sciences, Blacksburg, VA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Yi", 
            "givenName": "Jiaqing", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Virginia Tech", 
              "id": "https://www.grid.ac/institutes/grid.438526.e", 
              "name": [
                "Virginia Tech, Department of Biochemistry, Blacksburg, VA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ray", 
            "givenName": "W. Keith", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Virginia Tech", 
              "id": "https://www.grid.ac/institutes/grid.438526.e", 
              "name": [
                "Virginia Tech, Department of Chemical Engineering, Blacksburg, VA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Vu", 
            "givenName": "Lucas T.", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Virginia Tech", 
              "id": "https://www.grid.ac/institutes/grid.438526.e", 
              "name": [
                "Virginia Tech, Department of Biochemistry, Blacksburg, VA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Helm", 
            "givenName": "Richard F.", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Virginia Tech", 
              "id": "https://www.grid.ac/institutes/grid.438526.e", 
              "name": [
                "Virginia Tech, Department of Animal and Poultry Sciences, Blacksburg, VA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Siegel", 
            "givenName": "Paul B.", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Virginia Tech", 
              "id": "https://www.grid.ac/institutes/grid.438526.e", 
              "name": [
                "Virginia Tech, Department of Animal and Poultry Sciences, Blacksburg, VA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Cline", 
            "givenName": "Mark A.", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Virginia Tech", 
              "id": "https://www.grid.ac/institutes/grid.438526.e", 
              "name": [
                "Virginia Tech, Department of Animal and Poultry Sciences, Blacksburg, VA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Gilbert", 
            "givenName": "Elizabeth R.", 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.3382/ps.2013-03069", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001183152"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/molehr/gal001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002883783"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3382/ps.0751168", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003169312"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf01260938", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004311768", 
              "https://doi.org/10.1007/bf01260938"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf01260938", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004311768", 
              "https://doi.org/10.1007/bf01260938"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/hjh.0000000000000626", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004319139"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/hjh.0000000000000626", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004319139"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/hjh.0000000000000626", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004319139"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/pmic.200700612", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004666046"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1365-2826.2009.01819.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008072053"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.bbr.2015.02.008", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008173919"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/pmic.200600143", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008529939"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/jne.12378", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009924785"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1515/hsz-2013-0233", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012107686"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3945/an.112.001875", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013219590"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1507/endocrj.k10e-077", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015956770"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1507/endocrj.k10e-077", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015956770"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.cbpa.2015.11.010", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016480774"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jmgm.2012.10.007", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017645325"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/pmic.200700397", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017891389"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1742-4658.2011.08359.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019039034"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1074/jbc.m511270200", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019177051"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10815-013-9954-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019661863", 
              "https://doi.org/10.1007/s10815-013-9954-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nprot.2016.042", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022542635", 
              "https://doi.org/10.1038/nprot.2016.042"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jprot.2010.11.005", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023071226"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10048-014-0435-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023465603", 
              "https://doi.org/10.1007/s10048-014-0435-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1152/physiolgenomics.00102.2013", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023476481"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/sj.ejcn.1601704", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023590213", 
              "https://doi.org/10.1038/sj.ejcn.1601704"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/sj.ejcn.1601704", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023590213", 
              "https://doi.org/10.1038/sj.ejcn.1601704"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1432-1033.1989.tb15110.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024061036"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10545-009-0968-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024824978", 
              "https://doi.org/10.1007/s10545-009-0968-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.cbpa.2011.04.004", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027041352"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.cbpa.2011.04.004", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027041352"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10048-011-0290-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028663828", 
              "https://doi.org/10.1007/s10048-011-0290-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ijo.2014.8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031770660", 
              "https://doi.org/10.1038/ijo.2014.8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ijo.2014.8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031770660", 
              "https://doi.org/10.1038/ijo.2014.8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth.3901", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032398342", 
              "https://doi.org/10.1038/nmeth.3901"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/pmic.201200177", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032618437"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1196/annals.1327.061", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032653945"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1196/annals.1327.061", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032653945"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/ypg.0b013e3280ae6cec", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032850837"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/ypg.0b013e3280ae6cec", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032850837"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.physbeh.2010.05.008", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032907447"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1074/jbc.m000217200", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033948064"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf01071874", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034832271", 
              "https://doi.org/10.1007/bf01071874"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/pmic.200300716", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035234653"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.bbr.2009.12.032", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036838747"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0149-7634(02)00014-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036958548"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1038/oby.2012.128", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037015530"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/b978-0-12-384947-2.00114-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038326995"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3382/ps.2009-00190", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039223894"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.bbr.2012.08.015", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039905455"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1074/jbc.m300293200", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043619600"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3382/ps.2010-01034", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046031406"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0041537", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046647477"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.neuron.2016.05.025", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046660329"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.npep.2014.09.001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047487123"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.theriogenology.2005.03.020", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048095585"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0165-6147(00)01639-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048588567"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10719-013-9472-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049344054", 
              "https://doi.org/10.1007/s10719-013-9472-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.bbr.2011.02.034", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049468483"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.3578", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052576892", 
              "https://doi.org/10.1038/ng.3578"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.3578", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052576892", 
              "https://doi.org/10.1038/ng.3578"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.cbpa.2008.09.008", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053636114"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1210/en.2010-0702", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1064250655"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3382/ps.0410954", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1071237224"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3233/jad-132714", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1078913744"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1081603238", 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/srep41834", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1083855822", 
              "https://doi.org/10.1038/srep41834"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41598-017-03825-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1086000760", 
              "https://doi.org/10.1038/s41598-017-03825-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3390/proteomes5030016", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1090572918"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/jne.12510", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1090830470"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3389/fphys.2017.00828", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1092345753"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/jne.12555", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1092615364"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-319-69682-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1100765987", 
              "https://doi.org/10.1007/978-3-319-69682-9"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2019-12", 
        "datePublishedReg": "2019-12-01", 
        "description": "BACKGROUND: The hypothalamus is the ultimate modulator of appetite and energy balance and therefore sensitive to changes in nutritional state. Chicks from lines selected for low (LWS) and high (HWS) body weight are hypophagic and compulsive eaters, respectively, and differ in their propensity to become obese and in their hypothalamic mRNA response to fasting.\nMETHODS: As fasting-induced changes in hypothalamic proteins are unknown, we investigated the hypothalamic proteomes of 5-day old LWS and HWS chicks in the fed and fasted states using a label-free liquid chromatography-tandem mass spectrometry (LC-MS/MS) approach.\nRESULTS: A total of 744 proteins were identified in the chicken hypothalamus, and 268 differentially abundant proteins were identified among four pairwise comparisons. Ninety-five proteins were associated with the response to fasting in HWS chicks, and 23 proteins were associated with the response to fasting in LWS chicks. Fasting-responsive proteins in HWS chicks were significantly enriched in ATP metabolic processes, glyoxylate/dicarboxylate metabolism, and ribosome function. There was no enrichment for any pathways in LWS chicks in response to fasting. In the fasted and fed states, 159 and 119 proteins differed between HWS and LWS, respectively. Oxidative phosphorylation, citric acid cycle, and carbon metabolism were the main pathways associated with differences between the two lines of chicks. Enzymes associated with metabolic pathways differed between HWS and LWS in both nutritional states, including fumarase, aspartate aminotransferase, mitochondrial GOT2, 3-hydroxyisobutyrate dehydrogenase, chondrogenesis associated lipocalin, sialic acid synthase, arylamine N-acetyltransferase, pineal gland isozyme NAT-3, and succinate dehydrogenase [ubiquinone] flavoprotein subunit, mitochondrial.\nCONCLUSIONS: These results provide insights into the hypothalamic metabolic pathways that are affected by nutritional status and the regulation of appetite and eating behavior.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1038/s41387-019-0081-1", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1045540", 
            "issn": [
              "2044-4052"
            ], 
            "name": "Nutrition & Diabetes", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "9"
          }
        ], 
        "name": "Fasting differentially alters the hypothalamic proteome of chickens from lines with the propensity to be anorexic or obese", 
        "pagination": "13", 
        "productId": [
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1038/s41387-019-0081-1"
            ]
          }, 
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "15e62724bc89eb47cd83c31b960db2483b80e97337e73d03efc5ff546bfdaf88"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1113157529"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "101566341"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "30931934"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1038/s41387-019-0081-1", 
          "https://app.dimensions.ai/details/publication/pub.1113157529"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-15T09:00", 
        "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/v90/0000000375_0000000375/records_91433_00000001.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://www.nature.com/articles/s41387-019-0081-1"
      }
    ]
     

    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/s41387-019-0081-1'

    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/s41387-019-0081-1'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41387-019-0081-1'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41387-019-0081-1'


     

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

    323 TRIPLES      21 PREDICATES      94 URIs      21 LITERALS      9 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1038/s41387-019-0081-1 schema:about anzsrc-for:06
    2 anzsrc-for:0601
    3 schema:author Nee5d218ae2d9499c8db569abb7c6af7a
    4 schema:citation sg:pub.10.1007/978-3-319-69682-9
    5 sg:pub.10.1007/bf01071874
    6 sg:pub.10.1007/bf01260938
    7 sg:pub.10.1007/s10048-011-0290-9
    8 sg:pub.10.1007/s10048-014-0435-8
    9 sg:pub.10.1007/s10545-009-0968-4
    10 sg:pub.10.1007/s10719-013-9472-z
    11 sg:pub.10.1007/s10815-013-9954-8
    12 sg:pub.10.1038/ijo.2014.8
    13 sg:pub.10.1038/ng.3578
    14 sg:pub.10.1038/nmeth.3901
    15 sg:pub.10.1038/nprot.2016.042
    16 sg:pub.10.1038/s41598-017-03825-3
    17 sg:pub.10.1038/sj.ejcn.1601704
    18 sg:pub.10.1038/srep41834
    19 https://app.dimensions.ai/details/publication/pub.1081603238
    20 https://doi.org/10.1002/pmic.200300716
    21 https://doi.org/10.1002/pmic.200600143
    22 https://doi.org/10.1002/pmic.200700397
    23 https://doi.org/10.1002/pmic.200700612
    24 https://doi.org/10.1002/pmic.201200177
    25 https://doi.org/10.1016/b978-0-12-384947-2.00114-8
    26 https://doi.org/10.1016/j.bbr.2009.12.032
    27 https://doi.org/10.1016/j.bbr.2011.02.034
    28 https://doi.org/10.1016/j.bbr.2012.08.015
    29 https://doi.org/10.1016/j.bbr.2015.02.008
    30 https://doi.org/10.1016/j.cbpa.2008.09.008
    31 https://doi.org/10.1016/j.cbpa.2011.04.004
    32 https://doi.org/10.1016/j.cbpa.2015.11.010
    33 https://doi.org/10.1016/j.jmgm.2012.10.007
    34 https://doi.org/10.1016/j.jprot.2010.11.005
    35 https://doi.org/10.1016/j.neuron.2016.05.025
    36 https://doi.org/10.1016/j.npep.2014.09.001
    37 https://doi.org/10.1016/j.physbeh.2010.05.008
    38 https://doi.org/10.1016/j.theriogenology.2005.03.020
    39 https://doi.org/10.1016/s0149-7634(02)00014-3
    40 https://doi.org/10.1016/s0165-6147(00)01639-4
    41 https://doi.org/10.1038/oby.2012.128
    42 https://doi.org/10.1074/jbc.m000217200
    43 https://doi.org/10.1074/jbc.m300293200
    44 https://doi.org/10.1074/jbc.m511270200
    45 https://doi.org/10.1093/molehr/gal001
    46 https://doi.org/10.1097/hjh.0000000000000626
    47 https://doi.org/10.1097/ypg.0b013e3280ae6cec
    48 https://doi.org/10.1111/j.1365-2826.2009.01819.x
    49 https://doi.org/10.1111/j.1432-1033.1989.tb15110.x
    50 https://doi.org/10.1111/j.1742-4658.2011.08359.x
    51 https://doi.org/10.1111/jne.12378
    52 https://doi.org/10.1111/jne.12510
    53 https://doi.org/10.1111/jne.12555
    54 https://doi.org/10.1152/physiolgenomics.00102.2013
    55 https://doi.org/10.1196/annals.1327.061
    56 https://doi.org/10.1210/en.2010-0702
    57 https://doi.org/10.1371/journal.pone.0041537
    58 https://doi.org/10.1507/endocrj.k10e-077
    59 https://doi.org/10.1515/hsz-2013-0233
    60 https://doi.org/10.3233/jad-132714
    61 https://doi.org/10.3382/ps.0410954
    62 https://doi.org/10.3382/ps.0751168
    63 https://doi.org/10.3382/ps.2009-00190
    64 https://doi.org/10.3382/ps.2010-01034
    65 https://doi.org/10.3382/ps.2013-03069
    66 https://doi.org/10.3389/fphys.2017.00828
    67 https://doi.org/10.3390/proteomes5030016
    68 https://doi.org/10.3945/an.112.001875
    69 schema:datePublished 2019-12
    70 schema:datePublishedReg 2019-12-01
    71 schema:description BACKGROUND: The hypothalamus is the ultimate modulator of appetite and energy balance and therefore sensitive to changes in nutritional state. Chicks from lines selected for low (LWS) and high (HWS) body weight are hypophagic and compulsive eaters, respectively, and differ in their propensity to become obese and in their hypothalamic mRNA response to fasting. METHODS: As fasting-induced changes in hypothalamic proteins are unknown, we investigated the hypothalamic proteomes of 5-day old LWS and HWS chicks in the fed and fasted states using a label-free liquid chromatography-tandem mass spectrometry (LC-MS/MS) approach. RESULTS: A total of 744 proteins were identified in the chicken hypothalamus, and 268 differentially abundant proteins were identified among four pairwise comparisons. Ninety-five proteins were associated with the response to fasting in HWS chicks, and 23 proteins were associated with the response to fasting in LWS chicks. Fasting-responsive proteins in HWS chicks were significantly enriched in ATP metabolic processes, glyoxylate/dicarboxylate metabolism, and ribosome function. There was no enrichment for any pathways in LWS chicks in response to fasting. In the fasted and fed states, 159 and 119 proteins differed between HWS and LWS, respectively. Oxidative phosphorylation, citric acid cycle, and carbon metabolism were the main pathways associated with differences between the two lines of chicks. Enzymes associated with metabolic pathways differed between HWS and LWS in both nutritional states, including fumarase, aspartate aminotransferase, mitochondrial GOT2, 3-hydroxyisobutyrate dehydrogenase, chondrogenesis associated lipocalin, sialic acid synthase, arylamine N-acetyltransferase, pineal gland isozyme NAT-3, and succinate dehydrogenase [ubiquinone] flavoprotein subunit, mitochondrial. CONCLUSIONS: These results provide insights into the hypothalamic metabolic pathways that are affected by nutritional status and the regulation of appetite and eating behavior.
    72 schema:genre research_article
    73 schema:inLanguage en
    74 schema:isAccessibleForFree false
    75 schema:isPartOf N04272afa2b114c99b87ee0d0416c73af
    76 N8803026237cd4bf98dac684edefaae27
    77 sg:journal.1045540
    78 schema:name Fasting differentially alters the hypothalamic proteome of chickens from lines with the propensity to be anorexic or obese
    79 schema:pagination 13
    80 schema:productId N35da29ccdeda49d490e0749b87a93b96
    81 N433834d11dec4f65ad5084137ede2b11
    82 N508bc23c0cdc473589a908dee44adb08
    83 N578af454589444cbb3c65c56f6776cb9
    84 Ndd629183f65649b891fdf5caaeda85aa
    85 schema:sameAs https://app.dimensions.ai/details/publication/pub.1113157529
    86 https://doi.org/10.1038/s41387-019-0081-1
    87 schema:sdDatePublished 2019-04-15T09:00
    88 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    89 schema:sdPublisher N2926a7a861d94cb39481c3b65d7a2cf2
    90 schema:url https://www.nature.com/articles/s41387-019-0081-1
    91 sgo:license sg:explorer/license/
    92 sgo:sdDataset articles
    93 rdf:type schema:ScholarlyArticle
    94 N00b53cd9586d4108a23c0d007442f9b4 rdf:first N163752b3780748a1a5ad0688d4021a08
    95 rdf:rest N8c29ddcf82504dc79b73faf50a443190
    96 N04272afa2b114c99b87ee0d0416c73af schema:issueNumber 1
    97 rdf:type schema:PublicationIssue
    98 N062eb7d1586f4895bf66e0495a011911 rdf:first Nb3ffe4a61cfe4e4b96caf84a133f6ceb
    99 rdf:rest N00b53cd9586d4108a23c0d007442f9b4
    100 N163752b3780748a1a5ad0688d4021a08 schema:affiliation https://www.grid.ac/institutes/grid.438526.e
    101 schema:familyName Cline
    102 schema:givenName Mark A.
    103 rdf:type schema:Person
    104 N2926a7a861d94cb39481c3b65d7a2cf2 schema:name Springer Nature - SN SciGraph project
    105 rdf:type schema:Organization
    106 N35da29ccdeda49d490e0749b87a93b96 schema:name nlm_unique_id
    107 schema:value 101566341
    108 rdf:type schema:PropertyValue
    109 N3809bdef41044184a81933a1b20385e3 schema:affiliation https://www.grid.ac/institutes/grid.263906.8
    110 schema:familyName Liu
    111 schema:givenName Lingbin
    112 rdf:type schema:Person
    113 N3960a0897b954a3aa6f8a502ad401456 schema:affiliation https://www.grid.ac/institutes/grid.438526.e
    114 schema:familyName Gilbert
    115 schema:givenName Elizabeth R.
    116 rdf:type schema:Person
    117 N433834d11dec4f65ad5084137ede2b11 schema:name doi
    118 schema:value 10.1038/s41387-019-0081-1
    119 rdf:type schema:PropertyValue
    120 N508bc23c0cdc473589a908dee44adb08 schema:name pubmed_id
    121 schema:value 30931934
    122 rdf:type schema:PropertyValue
    123 N578af454589444cbb3c65c56f6776cb9 schema:name readcube_id
    124 schema:value 15e62724bc89eb47cd83c31b960db2483b80e97337e73d03efc5ff546bfdaf88
    125 rdf:type schema:PropertyValue
    126 N7b0d8f40c0bc4d70b0a42cf39e554556 schema:affiliation https://www.grid.ac/institutes/grid.438526.e
    127 schema:familyName Ray
    128 schema:givenName W. Keith
    129 rdf:type schema:Person
    130 N82257e3432cf4967b75cae61e73ea6d3 schema:affiliation https://www.grid.ac/institutes/grid.438526.e
    131 schema:familyName Yi
    132 schema:givenName Jiaqing
    133 rdf:type schema:Person
    134 N8803026237cd4bf98dac684edefaae27 schema:volumeNumber 9
    135 rdf:type schema:PublicationVolume
    136 N8c29ddcf82504dc79b73faf50a443190 rdf:first N3960a0897b954a3aa6f8a502ad401456
    137 rdf:rest rdf:nil
    138 N9e8ece5ecb8444978a1688e3fbb1a32b schema:affiliation https://www.grid.ac/institutes/grid.438526.e
    139 schema:familyName Vu
    140 schema:givenName Lucas T.
    141 rdf:type schema:Person
    142 Nb3ffe4a61cfe4e4b96caf84a133f6ceb schema:affiliation https://www.grid.ac/institutes/grid.438526.e
    143 schema:familyName Siegel
    144 schema:givenName Paul B.
    145 rdf:type schema:Person
    146 Nc0a8d976ef0343858e5b8e7cff344d95 rdf:first N9e8ece5ecb8444978a1688e3fbb1a32b
    147 rdf:rest Ncdf87bdbbdca4cf7b86faf3e17a243cf
    148 Nc86421cc76ba43069ca1d57d27195c78 schema:affiliation https://www.grid.ac/institutes/grid.438526.e
    149 schema:familyName Helm
    150 schema:givenName Richard F.
    151 rdf:type schema:Person
    152 Ncab64ef03cd54267b4a68d5bebcfd470 rdf:first N7b0d8f40c0bc4d70b0a42cf39e554556
    153 rdf:rest Nc0a8d976ef0343858e5b8e7cff344d95
    154 Ncdf87bdbbdca4cf7b86faf3e17a243cf rdf:first Nc86421cc76ba43069ca1d57d27195c78
    155 rdf:rest N062eb7d1586f4895bf66e0495a011911
    156 Ndd629183f65649b891fdf5caaeda85aa schema:name dimensions_id
    157 schema:value pub.1113157529
    158 rdf:type schema:PropertyValue
    159 Ne5d73b98131349f29b8b45d8f1b8e61e rdf:first N82257e3432cf4967b75cae61e73ea6d3
    160 rdf:rest Ncab64ef03cd54267b4a68d5bebcfd470
    161 Nee5d218ae2d9499c8db569abb7c6af7a rdf:first N3809bdef41044184a81933a1b20385e3
    162 rdf:rest Ne5d73b98131349f29b8b45d8f1b8e61e
    163 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    164 schema:name Biological Sciences
    165 rdf:type schema:DefinedTerm
    166 anzsrc-for:0601 schema:inDefinedTermSet anzsrc-for:
    167 schema:name Biochemistry and Cell Biology
    168 rdf:type schema:DefinedTerm
    169 sg:journal.1045540 schema:issn 2044-4052
    170 schema:name Nutrition & Diabetes
    171 rdf:type schema:Periodical
    172 sg:pub.10.1007/978-3-319-69682-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100765987
    173 https://doi.org/10.1007/978-3-319-69682-9
    174 rdf:type schema:CreativeWork
    175 sg:pub.10.1007/bf01071874 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034832271
    176 https://doi.org/10.1007/bf01071874
    177 rdf:type schema:CreativeWork
    178 sg:pub.10.1007/bf01260938 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004311768
    179 https://doi.org/10.1007/bf01260938
    180 rdf:type schema:CreativeWork
    181 sg:pub.10.1007/s10048-011-0290-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028663828
    182 https://doi.org/10.1007/s10048-011-0290-9
    183 rdf:type schema:CreativeWork
    184 sg:pub.10.1007/s10048-014-0435-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023465603
    185 https://doi.org/10.1007/s10048-014-0435-8
    186 rdf:type schema:CreativeWork
    187 sg:pub.10.1007/s10545-009-0968-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024824978
    188 https://doi.org/10.1007/s10545-009-0968-4
    189 rdf:type schema:CreativeWork
    190 sg:pub.10.1007/s10719-013-9472-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1049344054
    191 https://doi.org/10.1007/s10719-013-9472-z
    192 rdf:type schema:CreativeWork
    193 sg:pub.10.1007/s10815-013-9954-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019661863
    194 https://doi.org/10.1007/s10815-013-9954-8
    195 rdf:type schema:CreativeWork
    196 sg:pub.10.1038/ijo.2014.8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031770660
    197 https://doi.org/10.1038/ijo.2014.8
    198 rdf:type schema:CreativeWork
    199 sg:pub.10.1038/ng.3578 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052576892
    200 https://doi.org/10.1038/ng.3578
    201 rdf:type schema:CreativeWork
    202 sg:pub.10.1038/nmeth.3901 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032398342
    203 https://doi.org/10.1038/nmeth.3901
    204 rdf:type schema:CreativeWork
    205 sg:pub.10.1038/nprot.2016.042 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022542635
    206 https://doi.org/10.1038/nprot.2016.042
    207 rdf:type schema:CreativeWork
    208 sg:pub.10.1038/s41598-017-03825-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1086000760
    209 https://doi.org/10.1038/s41598-017-03825-3
    210 rdf:type schema:CreativeWork
    211 sg:pub.10.1038/sj.ejcn.1601704 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023590213
    212 https://doi.org/10.1038/sj.ejcn.1601704
    213 rdf:type schema:CreativeWork
    214 sg:pub.10.1038/srep41834 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083855822
    215 https://doi.org/10.1038/srep41834
    216 rdf:type schema:CreativeWork
    217 https://app.dimensions.ai/details/publication/pub.1081603238 schema:CreativeWork
    218 https://doi.org/10.1002/pmic.200300716 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035234653
    219 rdf:type schema:CreativeWork
    220 https://doi.org/10.1002/pmic.200600143 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008529939
    221 rdf:type schema:CreativeWork
    222 https://doi.org/10.1002/pmic.200700397 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017891389
    223 rdf:type schema:CreativeWork
    224 https://doi.org/10.1002/pmic.200700612 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004666046
    225 rdf:type schema:CreativeWork
    226 https://doi.org/10.1002/pmic.201200177 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032618437
    227 rdf:type schema:CreativeWork
    228 https://doi.org/10.1016/b978-0-12-384947-2.00114-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038326995
    229 rdf:type schema:CreativeWork
    230 https://doi.org/10.1016/j.bbr.2009.12.032 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036838747
    231 rdf:type schema:CreativeWork
    232 https://doi.org/10.1016/j.bbr.2011.02.034 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049468483
    233 rdf:type schema:CreativeWork
    234 https://doi.org/10.1016/j.bbr.2012.08.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039905455
    235 rdf:type schema:CreativeWork
    236 https://doi.org/10.1016/j.bbr.2015.02.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008173919
    237 rdf:type schema:CreativeWork
    238 https://doi.org/10.1016/j.cbpa.2008.09.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053636114
    239 rdf:type schema:CreativeWork
    240 https://doi.org/10.1016/j.cbpa.2011.04.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027041352
    241 rdf:type schema:CreativeWork
    242 https://doi.org/10.1016/j.cbpa.2015.11.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016480774
    243 rdf:type schema:CreativeWork
    244 https://doi.org/10.1016/j.jmgm.2012.10.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017645325
    245 rdf:type schema:CreativeWork
    246 https://doi.org/10.1016/j.jprot.2010.11.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023071226
    247 rdf:type schema:CreativeWork
    248 https://doi.org/10.1016/j.neuron.2016.05.025 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046660329
    249 rdf:type schema:CreativeWork
    250 https://doi.org/10.1016/j.npep.2014.09.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047487123
    251 rdf:type schema:CreativeWork
    252 https://doi.org/10.1016/j.physbeh.2010.05.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032907447
    253 rdf:type schema:CreativeWork
    254 https://doi.org/10.1016/j.theriogenology.2005.03.020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048095585
    255 rdf:type schema:CreativeWork
    256 https://doi.org/10.1016/s0149-7634(02)00014-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036958548
    257 rdf:type schema:CreativeWork
    258 https://doi.org/10.1016/s0165-6147(00)01639-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048588567
    259 rdf:type schema:CreativeWork
    260 https://doi.org/10.1038/oby.2012.128 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037015530
    261 rdf:type schema:CreativeWork
    262 https://doi.org/10.1074/jbc.m000217200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033948064
    263 rdf:type schema:CreativeWork
    264 https://doi.org/10.1074/jbc.m300293200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043619600
    265 rdf:type schema:CreativeWork
    266 https://doi.org/10.1074/jbc.m511270200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019177051
    267 rdf:type schema:CreativeWork
    268 https://doi.org/10.1093/molehr/gal001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002883783
    269 rdf:type schema:CreativeWork
    270 https://doi.org/10.1097/hjh.0000000000000626 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004319139
    271 rdf:type schema:CreativeWork
    272 https://doi.org/10.1097/ypg.0b013e3280ae6cec schema:sameAs https://app.dimensions.ai/details/publication/pub.1032850837
    273 rdf:type schema:CreativeWork
    274 https://doi.org/10.1111/j.1365-2826.2009.01819.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1008072053
    275 rdf:type schema:CreativeWork
    276 https://doi.org/10.1111/j.1432-1033.1989.tb15110.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1024061036
    277 rdf:type schema:CreativeWork
    278 https://doi.org/10.1111/j.1742-4658.2011.08359.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1019039034
    279 rdf:type schema:CreativeWork
    280 https://doi.org/10.1111/jne.12378 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009924785
    281 rdf:type schema:CreativeWork
    282 https://doi.org/10.1111/jne.12510 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090830470
    283 rdf:type schema:CreativeWork
    284 https://doi.org/10.1111/jne.12555 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092615364
    285 rdf:type schema:CreativeWork
    286 https://doi.org/10.1152/physiolgenomics.00102.2013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023476481
    287 rdf:type schema:CreativeWork
    288 https://doi.org/10.1196/annals.1327.061 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032653945
    289 rdf:type schema:CreativeWork
    290 https://doi.org/10.1210/en.2010-0702 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064250655
    291 rdf:type schema:CreativeWork
    292 https://doi.org/10.1371/journal.pone.0041537 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046647477
    293 rdf:type schema:CreativeWork
    294 https://doi.org/10.1507/endocrj.k10e-077 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015956770
    295 rdf:type schema:CreativeWork
    296 https://doi.org/10.1515/hsz-2013-0233 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012107686
    297 rdf:type schema:CreativeWork
    298 https://doi.org/10.3233/jad-132714 schema:sameAs https://app.dimensions.ai/details/publication/pub.1078913744
    299 rdf:type schema:CreativeWork
    300 https://doi.org/10.3382/ps.0410954 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071237224
    301 rdf:type schema:CreativeWork
    302 https://doi.org/10.3382/ps.0751168 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003169312
    303 rdf:type schema:CreativeWork
    304 https://doi.org/10.3382/ps.2009-00190 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039223894
    305 rdf:type schema:CreativeWork
    306 https://doi.org/10.3382/ps.2010-01034 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046031406
    307 rdf:type schema:CreativeWork
    308 https://doi.org/10.3382/ps.2013-03069 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001183152
    309 rdf:type schema:CreativeWork
    310 https://doi.org/10.3389/fphys.2017.00828 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092345753
    311 rdf:type schema:CreativeWork
    312 https://doi.org/10.3390/proteomes5030016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090572918
    313 rdf:type schema:CreativeWork
    314 https://doi.org/10.3945/an.112.001875 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013219590
    315 rdf:type schema:CreativeWork
    316 https://www.grid.ac/institutes/grid.263906.8 schema:alternateName Southwest University
    317 schema:name College of Animal Science and Technology, Southwest University, Chongqing, P.R. China
    318 rdf:type schema:Organization
    319 https://www.grid.ac/institutes/grid.438526.e schema:alternateName Virginia Tech
    320 schema:name Virginia Tech, Department of Animal and Poultry Sciences, Blacksburg, VA, USA
    321 Virginia Tech, Department of Biochemistry, Blacksburg, VA, USA
    322 Virginia Tech, Department of Chemical Engineering, Blacksburg, VA, USA
    323 rdf:type schema:Organization
     




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


    ...