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The Human Blood Metabolome-Transcriptome Interface.pdf 5,60MB
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1000 Titel
  • The Human Blood Metabolome-Transcriptome Interface
1000 Autor/in
  1. Bartel, Jörg |
  2. Krumsiek, Jan |
  3. Schramm, Katharina |
  4. Adamski, Jerzy |
  5. Gieger, Christian |
  6. Herder, Christian |
  7. Carstensen, Maren |
  8. Peters, Annette |
  9. Rathmann, Wolfgang |
  10. Roden, Michael |
  11. Strauch, Konstantin |
  12. Suhre, Karsten |
  13. Kastenmüller, Gabi |
  14. Prokisch, Holger |
  15. Theis, Fabian J. |
1000 Erscheinungsjahr 2015
1000 LeibnizOpen
1000 Art der Datei
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2015-06-18
1000 Erschienen in
1000 Quellenangabe
  • 11(6):e1005274
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2015
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1371/journal.pgen.1005274 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4473262/ |
1000 Ergänzendes Material
  • http://journals.plos.org/plosgenetics/article?id=10.1371/journal.pgen.1005274#sec023 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Biological systems consist of multiple organizational levels all densely interacting with each other to ensure function and flexibility of the system. Simultaneous analysis of cross-sectional multi-omics data from large population studies is a powerful tool to comprehensively characterize the underlying molecular mechanisms on a physiological scale. In this study, we systematically analyzed the relationship between fasting serum metabolomics and whole blood transcriptomics data from 712 individuals of the German KORA F4 cohort. Correlation-based analysis identified 1,109 significant associations between 522 transcripts and 114 metabolites summarized in an integrated network, the ‘human blood metabolome-transcriptome interface’ (BMTI). Bidirectional causality analysis using Mendelian randomization did not yield any statistically significant causal associations between transcripts and metabolites. A knowledge-based interpretation and integration with a genome-scale human metabolic reconstruction revealed systematic signatures of signaling, transport and metabolic processes, i.e. metabolic reactions mainly belonging to lipid, energy and amino acid metabolism. Moreover, the construction of a network based on functional categories illustrated the cross-talk between the biological layers at a pathway level. Using a transcription factor binding site enrichment analysis, this pathway cross-talk was further confirmed at a regulatory level. Finally, we demonstrated how the constructed networks can be used to gain novel insights into molecular mechanisms associated to intermediate clinical traits. Overall, our results demonstrate the utility of a multi-omics integrative approach to understand the molecular mechanisms underlying both normal physiology and disease.
1000 Sacherschließung
lokal Metabolomics
lokal Metabolic pathways
lokal Metabolites
lokal Metabolic networks
lokal Metabolic processes
lokal Fatty acids
lokal Lipid metabolism
lokal Blood
1000 Fachgruppe
  1. Medizin |
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/creator/QmFydGVsLCBKw7ZyZw==|https://frl.publisso.de/adhoc/creator/S3J1bXNpZWssIEphbg==|https://frl.publisso.de/adhoc/creator/U2NocmFtbSwgS2F0aGFyaW5hIA==|https://frl.publisso.de/adhoc/creator/QWRhbXNraSwgSmVyenk=|https://frl.publisso.de/adhoc/creator/R2llZ2VyLCBDaHJpc3RpYW4=|http://orcid.org/0000-0002-2050-093X|https://frl.publisso.de/adhoc/creator/Q2Fyc3RlbnNlbiwgTWFyZW4g|https://frl.publisso.de/adhoc/creator/UGV0ZXJzLCBBbm5ldHRlIA==|http://d-nb.info/gnd/112013597|http://d-nb.info/gnd/130812773|https://frl.publisso.de/adhoc/creator/U3RyYXVjaCwgS29uc3RhbnRpbg==|https://frl.publisso.de/adhoc/creator/U3VocmUsIEthcnN0ZW4g|https://frl.publisso.de/adhoc/creator/S2FzdGVubcO8bGxlciwgR2FiaQ==|https://frl.publisso.de/adhoc/creator/UHJva2lzY2gsIEhvbGdlcg==|https://frl.publisso.de/adhoc/creator/VGhlaXMsIEZhYmlhbiBKLg==
1000 Label
1000 Fördernummer
  1. -
  2. -
  3. -
  4. -
  5. -
  6. 01GI0922; 01GS0834
  7. -
  8. -
  9. FP7-Health-F5-2012; 305280; 277984
1000 Förderprogramm
  1. Initiative and Networking Fund
  2. -
  3. Biomedical Research Program at Weill Cornell Medical College
  4. -
  5. -
  6. National Genome Network NGFNplus Atherogenomics
  7. -
  8. -
  9. Seventh Framework Programme
  10. 'LatentCauses'
1000 Dateien
  1. The Human Blood Metabolome-Transcriptome Interface
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6408298.rdf
1000 Erstellt am 2018-06-14T10:04:41.965+0200
1000 Erstellt von 218
1000 beschreibt frl:6408298
1000 Bearbeitet von 218
1000 Zuletzt bearbeitet Thu Jan 30 21:34:02 CET 2020
1000 Objekt bearb. Tue Sep 04 10:24:10 CEST 2018
1000 Vgl. frl:6408298
1000 Oai Id
  1. oai:frl.publisso.de:frl:6408298 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

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