English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  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

Files

show Files
hide Files
:
Meierhofer.pdf (Publisher version), 5MB
Name:
Meierhofer.pdf
Description:
-
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
© 2013 American Society for Biochemistry and Molecular Biology
License:
-

Locators

show

Creators

show
hide
 Creators:
Meierhofer, David1, Author              
Weidner, Christopher2, Author              
Hartmann, Ludger3, Author              
Mayr, Johannes A., Author
Han, Chung-Ting2, Author              
Schroeder, Frank C., Author
Sauer, Sascha2, Author              
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              

Content

show
hide
Free keywords: -
 Abstract: 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

show
hide
Language(s): eng - English
 Dates: 2013-04-112013-07
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1074/mcp.M112.025031
ISSN: 1535-9484 (Electronic)1535-9476 (Print)
URI: http://www.ncbi.nlm.nih.gov/pubmed/23579186
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Molecular and Cellular Proteomics
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Bethesda, MD : American Society for Biochemistry and Molecular Biology
Pages: - Volume / Issue: 12 (7) Sequence Number: - Start / End Page: 1965 - 1979 Identifier: ISSN: 1535-9476
CoNE: https://pure.mpg.de/cone/journals/resource/111035577487002