English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Molecular interaction networks in the analyses of sequence variation and proteomics data

Stelzl, U. (2013). Molecular interaction networks in the analyses of sequence variation and proteomics data. PROTEOMICS CLINICAL APPLICATIONS, 7(11-12), 727-732. doi:10.1002/prca.201300039.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0019-0FF0-1 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0019-0FF2-E
Genre: Journal Article

Files

show Files
hide Files
:
Stelzl.pdf (Publisher version), 278KB
Name:
Stelzl.pdf
Description:
-
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
© 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
License:
-

Locators

show

Creators

show
hide
 Creators:
Stelzl, Ulrich1, Author              
Affiliations:
1Molecular Interaction Networks (Ulrich Stelzl), Independent Junior Research Groups (OWL), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1479660              

Content

show
hide
Free keywords: Genetic variation; MS; Phosphorylation; Posttranslational modification; Protein–protein interactions; Yeast two-hybrid
 Abstract: Protein-protein interaction networks are typically generated in standard cell lines or model organisms as it is prohibitively difficult to record large interaction datasets from specific tissues or disease models at a reasonable pace. Although the interaction data are of high confidence, they thus do not reflect in vivo relationships as such. A wealth of physiologically relevant protein information, obtained under different conditions and from different systems, is available including information on genetic variation, protein levels, and PTMs. However, these data are difficult to assess comprehensively because the relationships between the entities remain elusive from the measurements. Here, we exemplarily highlight recent studies that gained deeper insight from genetic variation, protein, and PTM measurements using interaction information pointing toward the importance and potential of interaction networks for the interpretation of sequencing and proteomics data.

Details

show
hide
Language(s): eng - English
 Dates: 2013-10-292013-12
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1002/prca.201300039
ISSN: 1862-8354 (Electronic)1862-8346 (Print)
URI: http://www.ncbi.nlm.nih.gov/pubmed/24039079
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: PROTEOMICS CLINICAL APPLICATIONS
  Other : Proteom. Clin. Appl.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 7 (11-12) Sequence Number: - Start / End Page: 727 - 732 Identifier: ISSN: 1862-8346
CoNE: /journals/resource/1000000000277300