Special Issue "Metabolism and Systems Biology"

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A special issue of Metabolites (ISSN 2218-1989).

Deadline for manuscript submissions: 31 July 2012

Special Issue Editor

Guest Editor
Dr. Christoph Kaleta
Research Group Theoretical Systems Biology, Friedrich-Schiller-Universität Jena, Raum 15N10, Leutragraben 1, D-07743 Jena, Germany
Website: http://users.minet.uni-jena.de/~m3kach/
E-Mail: christoph.kaleta@uni-jena.de
Interests: analysis of metabolic and regulatory networks; system biology

Special Issue Information

Dear Colleagues,

In recent years more and more comprehensive models of metabolism of a large number of organisms have been published. Building on years of detailed biochemical research, it is now possible to reconstruct large parts of the structure of the metabolic network of an organism from its genome sequence. We are thus able to gain deep insight into the metabolic capabilities of an organism of interest or how it can be engineered for certain biotechnological applications. However, reconstruction efforts aimed at metabolism have largely outpaced methods to reconstruct other cellular networks such as the regulatory or signaling networks of the cell. This is in part due to the plasticity of this other types of networks. In consequence, even though it has been shown in many instances that there is a fine-tuned interplay between different cellular networks and all of them have to work under the physiological constraints of the organism and its environment, this is often neglected in current approaches. Moreover, current modeling approaches of metabolism have to deal with a torrent of OMICs datasets whose production is currently outpacing theoretical methods to interpret them by a large margin. Thus, on the one hand methods that allow to put large-scale datasets and models that integrate different types of cellular networks are of a pivotal importance to achieve a more comprehensive “Systems Biological” view of organisms.

Therefore this special issue of Metabolites will be dedicated to novel methods that allow one to interpret and integrate different types of large-scale experimental datasets in the context of metabolism as well as modeling approaches that put different types of cellular networks in a common context.

Prof. Christoph Kaleta
Guest Editor

Submission

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are refereed through a peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Metabolites is an international peer-reviewed Open Access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. For the first couple of issues the Article Processing Charge (APC) will be waived for well-prepared manuscripts. English correction and/or formatting fees of 250 CHF (Swiss Francs) will be charged in certain cases for those articles accepted for publication that require extensive additional formatting and/or English corrections.

Keywords

  • genome
  • scale metabolic models
  • reconstruction of metabolic networks
  • data integration into metabolic modeling
  • constraint
  • based modeling of metabolism
  • analysis of high
  • throughput datasets
  • transcriptomic data
  • proteomic data
  • fluxomic data
  • metabolomic data

Published Papers

No papers have been published in this special issue yet, see below for planned papers.

Planned Papers

Type of the Paper: Article
Title: Improving Intracellular Metabolite Quantification - Validation of Analytical Process Chain
Authors: Jana Tillack, Nicole Paczia, Katharina Nöh, Wolfgang Wiechert, Stephan Noack
Affiliation: Institut für Bio- und Geowissenschaften, IBG-1: Biotechnologie AG Bioprozesse und Bioanalytik, Germany; E-Mail: s.noack@fz-juelich.de
Abstract: Model-based analyses 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 themselves, but also their measurement errors play a crucial role. In most cases the corresponding total measurement error is the result of an accumulation of single errors introduced by several processing steps. We have developed a framework for the quantification of intracellular metabolites especially handling error propagation during metabolome sample processing. For the first time we comprehensively investigated all currently known and accessible influencing factors that finally determine the accuracy and precision of intracellular metabolite concentration data. All intermediate steps are modeled and their uncertainty with respect to the final concentration data is quantified. Finally,   an integrated error propagation analysis over all parts of the model is conducted to detect the most critical steps.

Last update: 18 May 2012

Metabolites EISSN 2218-1989 Published by MDPI Publishing, Basel, Switzerland RSS E-Mail Table of Contents Alert