Overview

The metabolome comprises the complete set of metabolites, the non-genetically encoded substrates, intermediates, and products of metabolic pathways, associated with a cell. Given the increasing demand to quantitatively identify the metabolome and understand how trafficking of metabolites through the metabolic network impact cellular behavior, metabolomics has emerged as an important complementary technology to the cell-wide measurements of mRNA, proteins, fluxes, and interactions (e.g., protein-DNA). Metabolomics is already a powerful tool in drug discovery and development and in metabolic engineering. While maintaining these strengths, the field promises to play a heightened role in systems biology research, which is transforming the practice of medicine and our ability to engineer living organisms. This book brings together the latest results in the field of metabolomics. It comprehensively presents the current state of the metabolomics field by underscoring experimental methods, analysis techniques, standardization practices, and advances in specific model systems.As a result, it significantly broadens our perspective on the principles and strategies underpinning this emerging field.

Full Product Details

Author:   Jens Nielsen ,  Michael C. Jewett
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2007 ed.
Volume:   18
Dimensions:   Width: 15.50cm , Height: 1.80cm , Length: 23.50cm
Weight:   0.623kg
ISBN:  

9783540747185

ISBN 10:   3540747184
Pages:   284
Publication Date:   26 October 2007
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

The role of metabolomics in systems biology.- Analytical methods from the perspective of method standardization.- Reporting standards.- The Golm Metabolome Database: a database for GC-MS based metabolite profiling.- Reconstruction of dynamic network models from metabolite measurements.- Toward metabolome-based 13C flux analysis: a universal tool for measuring in vivo metabolic activity.- Data acquisition, analysis, and mining: Integrative tools for discerning metabolic function in Saccharomyces cerevisiae.- E. coli metabolomics: capturing the complexity of a “simple” model.- The exo-metabolome in filamentous fungi.- The importance of anatomy and physiology in plant metabolomics.

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