Systems Metabolic Engineering

Methods and Protocols

Specificaties
Gebonden, 474 blz. | Engels
Humana Press | 2013e druk, 2013
ISBN13: 9781627032988
Rubricering
Humana Press 2013e druk, 2013 9781627032988
Onderdeel van serie Methods in Molecular Biology
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

With the ultimate goal of systematically and robustly defining the specific perturbations necessary to alter a cellular phenotype, systems metabolic engineering has the potential to lead to a complete cell model capable of simulating cell and metabolic function as well as predicting phenotypic response to changes in media, gene knockouts/overexpressions, or the incorporation of heterologous pathways.  In Systems Metabolic Engineering: Methods and Protocols, experts in the field describe the methodologies and approaches in the area of systems metabolic engineering and provide a step-by-step guide for their implementation. Four major tenants of this approach are addressed, including modeling and simulation, multiplexed genome engineering, ‘omics technologies, and large data-set incorporation and synthesis, all elucidated through the use of model host organisms.  Written in the highly successful Methods in Molecular Biology™ series format, chapters include introductions on their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.

 Comprehensive and cutting-edge, Systems Metabolic Engineering: Methods and Protocols serves as an ideal guide for metabolic engineers, molecular biologists, and microbiologists aiming to implement the most recent approaches available in the field.

Specificaties

ISBN13:9781627032988
Taal:Engels
Bindwijze:gebonden
Aantal pagina's:474
Uitgever:Humana Press
Druk:2013

Inhoudsopgave

<p>Genome-Scale Model Management and Comparison.- Automated Genome Annotation and Metabolic Model Reconstruction in the SEED and Model SEED.- Metabolic Model Refinement Using Phenotypic Microarray Data.- Linking Genome-Scale Metabolic Modeling and Genome Annotation.- Resolving Cell Composition through Simple Measurements, Genome-Scale Modeling, and a Genetic Algorithm.- A Guide to Integrating Transcriptional Regulatory and Metabolic Networks Using PROM (Probabilistic Regulation of Metabolism).- Kinetic Modeling of Metabolic Pathways: Application to Serine Biosynthesis.- Computational Tools for Guided Discovery and Engineering of Metabolic Pathways.- Retrosynthetic Design of Heterologous Pathways.- Customized Optimization of Metabolic Pathways by Combinatorial Transcriptional Engineering.- Adaptive Laboratory Evolution for Strain Engineering.- Trackable Multiplex Recombineering for Gene-Trait Mapping in E. coli.- Identification of Mutations in Evolved Bacterial Genomes.- Discovery of Post-Transcriptional Regulatory RNAs Using Next Generation Sequencing Technologies.- <sup>13</sup>C-based Metabolic Flux Analysis: Fundamentals and Practice.- Nuclear Magnetic Resonance Methods for Metabolic Fluxomics.- Using Multiple Tracers for <sup>13</sup>C Metabolic Flux Analysis.- Isotopically Nonstationary <sup>13</sup>C Metabolic Flux Analysis.- Sample Preparation and Biostatistics for Integrated Genomics Approaches.- Targeted Metabolic Engineering Guided by Computational Analysis of Single Nucleotide Polymorphisms (SNPs).- Linking RNA Measurements and Proteomics with Genome-Scale Models.- Comparative Transcriptome Analysis for Metabolic Engineering.- Merging Multiple Omics Datasets In Silico: Statistical Analyses and Data Interpretation.</p>

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