Next Article in Journal
Medicinal Plants: A Public Resource for Metabolomics and Hypothesis Development
Next Article in Special Issue
On Functional Module Detection in Metabolic Networks
Previous Article in Journal
Glycomic Expression in Esophageal Disease
Previous Article in Special Issue
Metabolic Adaptation and Protein Complexes in Prokaryotes
Article Menu

Export Article

Open AccessArticle
Metabolites 2012, 2(4), 1012-1030; doi:10.3390/metabo2041012

Error Propagation Analysis for Quantitative Intracellular Metabolomics

1
Institute of Bio-and Geosciences, IBG-1: Biotechnology, Forschungszentrum Jülich GmbH, 52425 Jülich, Germany
2
High Performance Computing, Forschungszentrum Jülich GmbH, 52425 Jülich, Germany
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Received: 14 August 2012 / Revised: 7 November 2012 / Accepted: 14 November 2012 / Published: 21 November 2012
(This article belongs to the Special Issue Metabolism and Systems Biology)
View Full-Text   |   Download PDF [1547 KB, uploaded 21 November 2012]   |  

Abstract

Model-based analyses have become an integral part of modern metabolic engineering and systems biology in order to gain knowledge about complex and not directly observable cellular processes. For quantitative analyses, not only experimental data, but also measurement errors, play a crucial role. The total measurement error of any analytical protocol is the result of an accumulation of single errors introduced by several processing steps. Here, we present a framework for the quantification of intracellular metabolites, including error propagation during metabolome sample processing. Focusing on one specific protocol, we comprehensively investigate all currently known and accessible factors that ultimately impact the accuracy of intracellular metabolite concentration data. All intermediate steps are modeled, and their uncertainty with respect to the final concentration data is rigorously quantified. Finally, on the basis of a comprehensive metabolome dataset of Corynebacterium glutamicum, an integrated error propagation analysis for all parts of the model is conducted, and the most critical steps for intracellular metabolite quantification are detected.
Keywords: metabolomics; quantification; intracellular metabolites; quenching; metabolite leakage; LC-MS/MS; error propagation analysis; Corynebacterium glutamicum metabolomics; quantification; intracellular metabolites; quenching; metabolite leakage; LC-MS/MS; error propagation analysis; Corynebacterium glutamicum
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Tillack, J.; Paczia, N.; Nöh, K.; Wiechert, W.; Noack, S. Error Propagation Analysis for Quantitative Intracellular Metabolomics. Metabolites 2012, 2, 1012-1030.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Metabolites EISSN 2218-1989 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top