English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  13C labeling experiments at metabolic nonstationary conditions : an exploratory study

Wahl, S. A., Nöh, K., & Wiechert, W. (2008). 13C labeling experiments at metabolic nonstationary conditions: an exploratory study. BMC Bioinformatics, 9, 152. doi:10.1186/1471-2105-9-152.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-95EB-1 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-002C-8B3A-E
Genre: Journal Article

Files

show Files
hide Files
:
eDoc_322608_2008.pdf (Publisher version), 728KB
Name:
eDoc_322608_2008.pdf
Description:
-
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Locators

show

Creators

show
hide
 Creators:
Wahl, S. A.1, Author              
Nöh, K.2, Author
Wiechert, W.3, Author
Affiliations:
1Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738140              
2Research Centre Jülich GmbH, Institute of Biotechnology 2, Department of Fermentation Technology, Jülich, Germany , ou_persistent22              
3University of Siegen, Department of Simulation, Institute of Systems Engineering, Siegen, Germany , ou_persistent22              

Content

show
hide
Free keywords: -
 Abstract: Stimulus Response Experiments to unravel the regulatory properties of metabolic networks are becoming more and more popular. However, their ability to determine enzyme kinetic parameters have proven to be limited with the presently available data. Different approaches are sought to circumvent this lack of information. In this contribution, a novel territory is entered based on the idea of increasing the information content of the dynamic experiment by adding 13C labeling. Labeling techniques have been shown to convey valuable constraints for stationary Flux Analysis. To explore whether 13C labeling will also increase the information content for kinetic parameter identification, an example network is studied. Different scenarios regarding available measurements are analyzed and compared to a non-labeled reference experiment. Sensitivity analysis and statistical methods are applied to assess the information gain of the new experimental approach. It was found that labeling will significantly increase the parameter accuracy. An overall information gain of about a factor 6 was observed for the example network. © 2008 Wahl et al; licensee BioMed Central Ltd. [accessed June 6th, 2008]

Details

show
hide
Language(s): eng - English
 Dates: 2008
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: eDoc: 322608
DOI: 10.1186/1471-2105-9-152
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: BMC Bioinformatics
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: BioMed Central
Pages: - Volume / Issue: 9 Sequence Number: - Start / End Page: 152 Identifier: ISSN: 1471-2105
CoNE: /journals/resource/111000136905000