Deutsch
 
Hilfe Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT
  Protein sets define disease states and predict in vivo effects of drug treatment

Meierhofer, D., Weidner, C., Hartmann, L., Mayr, J. A., Han, C.-T., Schroeder, F. C., et al. (2013). Protein sets define disease states and predict in vivo effects of drug treatment. Molecular and Cellular Proteomics, 12(7), 1965-1979. doi:10.1074/mcp.M112.025031.

Item is

Dateien

einblenden: Dateien
ausblenden: Dateien
:
Meierhofer.pdf (Verlagsversion), 5MB
Name:
Meierhofer.pdf
Beschreibung:
-
OA-Status:
Sichtbarkeit:
Öffentlich
MIME-Typ / Prüfsumme:
application/pdf / [MD5]
Technische Metadaten:
Copyright Datum:
-
Copyright Info:
© 2013 American Society for Biochemistry and Molecular Biology
Lizenz:
-

Externe Referenzen

einblenden:

Urheber

einblenden:
ausblenden:
 Urheber:
Meierhofer, David1, Autor           
Weidner, Christopher2, Autor           
Hartmann, Ludger3, Autor           
Mayr, Johannes A., Autor
Han, Chung-Ting2, Autor           
Schroeder, Frank C., Autor
Sauer, Sascha2, Autor           
Affiliations:
1Mass Spectrometry (Head: David Meierhofer), Scientific Service (Head: Christoph Krukenkamp), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1479669              
2Nutrigenomics and Gene Regulation (Sascha Sauer), Independent Junior Research Groups (OWL), Max Planck Institute for Molecular Genetics, Max Planck Society, Ihnestr, 73, 14195 Berlin, Germany, ou_1479662              
3Animal Unit (Head: Ludger Hartmann), Scientific Service (Head: Manuela B. Urban), Max Planck Institute for Molecular Genetics, Max Planck Society, Ihnestr, 73, 14195 Berlin, Germany, ou_1479665              

Inhalt

einblenden:
ausblenden:
Schlagwörter: -
 Zusammenfassung: Gaining understanding of common complex diseases and their treatments are the main drivers for life sciences. As we show here, comprehensive protein set analyses offer new opportunities to decipher functional molecular networks of diseases and assess the efficacy and side-effects of treatments in vivo. Using mass spectrometry, we quantitatively detected several thousand proteins and observed significant changes in protein pathway (dys-) regulated in diet-induced obesity mice. Analysis of the expression and posttranslational modifications of proteins in various peripheral metabolic target tissues including adipose, heart and liver tissue generated functional insights in the regulation of cell and tissue homeostasis during high fat diet and medication with two anti-diabetic compounds. Protein set analyses singled out pathways for functional characterization, and indicated for example early on potential cardiovascular complication of the diabetes drug rosiglitazone. In vivo protein set detection can provide new avenues for monitoring complex disease processes, and for evaluating preclinical drug candidates.

Details

einblenden:
ausblenden:
Sprache(n): eng - English
 Datum: 2013-04-112013-07
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1074/mcp.M112.025031
ISSN: 1535-9484 (Electronic)1535-9476 (Print)
URI: http://www.ncbi.nlm.nih.gov/pubmed/23579186
 Art des Abschluß: -

Veranstaltung

einblenden:

Entscheidung

einblenden:

Projektinformation

einblenden:

Quelle 1

einblenden:
ausblenden:
Titel: Molecular and Cellular Proteomics
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: Bethesda, MD : American Society for Biochemistry and Molecular Biology
Seiten: - Band / Heft: 12 (7) Artikelnummer: - Start- / Endseite: 1965 - 1979 Identifikator: ISSN: 1535-9476
CoNE: https://pure.mpg.de/cone/journals/resource/111035577487002