Record Display for the EPA National Library Catalog

RECORD NUMBER: 117 OF 247

OLS Field Name OLS Field Data
Main Title Metabolomics The Frontier of Systems Biology / [electronic resource] :
Type EBOOK
Author Tomita, Masaru.
Other Authors
Author Title of a Work
Nishioka, Takaaki.
Publisher Springer Tokyo,
Year Published 2005
Call Number QD431-431.7
ISBN 9784431280552
Subjects Life sciences. ; Proteomics. ; Bioinformatics. ; Cytology. ; Biology--Data processing. ; Plant breeding. ; Animal genetics.
Internet Access
Description Access URL
http://dx.doi.org/10.1007/4-431-28055-3
Collation XIV, 256 p. 112 illus., 4 in color online resource.
Notes
Due to license restrictions, this resource is available to EPA employees and authorized contractors only
Contents Notes
Overview -- Analytical Methods for Metabolome Sciences -- Development and Application of Capillary Electrophoresis-Mass Spectrometry Methods to Metabolomics -- Application of Electrospray Ionization Mass Spectrometry for Metabolomics -- High-Performance Liquid Chromatography and Liquid Chromatography/Mass Spectrometry Analyses of Metabolites in Microorganisms -- Metabolome Profiling of Human Urine with Capillary Gas Chromatography/Mass Spectrometry -- Metabolic Profiling by Fourier-Transform Ion Cyclotron Resonance Mass Spectrometry (FT-ICR-MS) and Electrospray Ionization Quadrupole Time-Of-Flight Mass Spectrometry (ESI-Q-TOF-MS) -- Metabolome Analysis by Capillary Electrophoresis -- High-Performance Liquid Chromatography for Metabolomics: High-Efficiency Separations Utilizing Monolithic Silica Columns -- Applications of Metabolome Analysis to Biosciences -- Combined Analysis of Metabolome and Transcriptome: Catabolism in Bacillus subtilis -- Metabolomics in Arabidopsis thaliana -- Lipidomics: Metabolic Analysis of Phospholipids -- Chemical Diagnosis of Inborn Errors of Metabolism and Metabolome Analysis of Urine by Capillary Gas Chromatography/Mass Spectrometry -- Metabolome Informatics -- to the ARM Database: Database on Chemical Transformations in Metabolism for Tracing Pathways -- The Genome-Based E-CELL Modeling (GEM) System -- Hybrid Dynamic/Static Method for Large-Scale Simulation of Metabolism and its Implementation to the E-CELL System -- Metabolomics and Medical Sciences -- Metabolomics and Medical Sciences. Metabolism is the sum of the chemical reactions in cells that produce life-sustaining chemical energy and metabolites. In the post-genome era, metabolism has taken on new significance for biological scientists: metabolites are the chemical basis of phenotypes that are final expressions of genomic information. This book covers research on metabolomics, ranging from the development of specialized chemical analytical techniques to the construction of databases and methods for metabolic simulation. The authors have been directly involved in the development of all the subject areas, including capillary electrophoresis, liquid chromatography, mass spectrometry, metabolic databases, and metabolic simulation. Breakthrough achievements and the future of metabolome studies are described, making this book a valuable source for researchers in metabolomics in diverse fields, such as plant, animal, cellular, microbial, pharmaceutical, medical, and genetic sciences.