Yeast Systems Biology

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160,49 

Methods and Protocols, Methods in Molecular Biology 759

ISBN: 1617791725
ISBN 13: 9781617791727
Herausgeber: Juan I Castrillo/Stephen G Oliver
Verlag: Humana Press
Umfang: xiv, 535 S., 83 s/w Illustr., 2 farbige Illustr., 535 p. 85 illus., 2 illus. in color.
Erscheinungsdatum: 23.08.2011
Auflage: 1/2011
Produktform: Gebunden/Hardback
Einband: GEB

This book presents an up-to-date view of yeast as a model eukaryote for systems biology studies. It provides practical, easy to use methodologies and includes key tips and vital implementation advice from the experts.

Artikelnummer: 1604808 Kategorie:

Beschreibung

Systems Biology aims at deciphering the genotype-phenotype relationships at the levels of genes, transcripts (RNAs), peptides, proteins, metabolites, and environmental factors participating in complex cellular networks in order to reveal the mechanisms and principles governing the behavior of complex biological systems.  Yeast Systems Biology: Methods and Protocols presents an up-to-date view of the optimal characteristics of the yeast Saccharomyces cerevisiae as a model eukaryote, perspective on the latest experimental and computational techniques  for systems biology studies, most of which were first designed for and validated in yeast, and selected examples of yeast systems biology studies and their applications in biotechnology and medicine.  These experiments under controlled conditions can uncover the complexity and interplay of biological networks with their dynamics, basic principles of internal organization, and balanced orchestrated functions between organelles in direct interaction with the environment as well as the characterization of short and long-term effects of perturbations and dysregulation of networks that may illuminate the origin of complex human diseases.  Written for the highly successful Methods in Molecular Biology series, this volume contains the kind of detailed description and implementation advice that is crucial for getting optimal results. Practical and cutting-edge, Yeast Systems Biology: Methods and Protocols serves researchers interested in comprehensive systems biology strategies in well-defined model systems with specific objectives as well as a better knowledge of the latest post-genomic strategies at all 'omic levels and computational approaches towards analysis, integration, and modeling of biological systems, from single-celled organisms to higher eukaryotes.

Inhaltsverzeichnis

Part I: Yeast Systems Biology   1. Yeast Systems Biology: The Challenge of Eukaryotic Complexity             Juan I. Castrillo and Stephen G. Oliver   Part II: Experimental Systems Biology: High-Throughput Genome-Wide and Molecular Studies   2. Saccharomyces cerevisiae: Gene Annotation and Genome Variability, State-of-the-Art Through Comparative Genomics             Ed Louis   3. Genome-Wide Measurement of Histone H3 Replacement Dynamics in Yeast             Oliver J. Rando   4. Genome-Wide Approaches to Studying Yeast Chromatin Modifications             Dustin E. Schones, Kairong Cui, and Suresh Cuddapah   5. Absolute and Relative Quantification of mRNA Expression (Transcript Analysis)             Andrew Hayes, Bharat M. Rash, and Leo A.H. Zeef   6. Enrichment of Unstable Non-Coding RNAs and Their Genome-Wide Identification             Helen Neil and Alain Jacquier   7. Genome-Wide Transcriptome Analysis in Yeast Using High-Density Tiling Arrays             Lior David, Sandra Clauder-Münster, and Lars M. Steinmetz   8. RNA Sequencing             Karl Waern, Ugrappa Nagalakshmi, and Michael Snyder   9. Polyadenylation State Microarray (PASTA) Analysis             Traude H Beilharzi¿ª and Thomas Preiss   10. Enabling Technologies for Yeast Proteome Analysis             Johanna Rees and Kathryn Lilley   11. Protein Turnover Methods in Single-Celled Organisms: Dynamic SILAC             Amy J. Claydon and Robert J. Beynon   12. Protein-Protein Interactions and Networks: Forward and Reverse Edgetics             Benoit Charloteaux, Quan Zhong, Matija Dreze, Michael E. Cusick, David E. Hill, and Marc Vidal   13. Use of Proteome Arrays to Globally Identify Substrates for E3 Ubiquitin Ligases             Avinash Persaud and Daniela Rotin   14. Fit for Purpose Quenching and Extraction Protocols for Metabolic Profiling of Yeast Using Chromatography-Mass Spectrometry Platforms             Catherine L. Winder and Warwick B. Dunn   15. The Automated Cell: Compound and Environment Screening System (ACCESS) for Chemogenomic Screening             Michael Proctor, Malene L. Urbanus, Eula L. Fung, Daniel F. Jaramillo, Ronald W. Davis, Corey Nislow, and Guri Giaever   16. Competition Experiments Coupled with High-Throughput Analyses for Functional Genomics Studies in Yeast             Daniela Delneri   17. Fluorescence Fluctuation Spectroscopy and Imaging Methods for Examination of Dynamic Protein Interactions in Yeast             Brian D. Slaughter, Jay R. Unruh, and Rong Li   18. Nutritional Control of Cell Growth Via TOR Signaling in Budding Yeast             Yuehua Wei and X.F. Steven Zheng   Part III: Computational Systems Biology: Computational Studies and Analyses   19. Computational Yeast Systems Biology: A Case Study for the MAP Kinase Cascade             Edda Klipp   20. Standards, Tools, and Databases for the Analysis of Yeast 'Omics Data             Axel Kowald and Christoph Wierling   21. A Computational Method to Search for DNA Structural Motifs in Functional Genomic Elements             Stephen C.J. Parker, Aaron Harlap, and Thomas D. Tullius   22. High Throughput Analyses and Curation of Protein Interactions in Yeast             Shoshana J. Wodak, Jim Vlasblom, and Shuye Pu   23. Noise in Biological Systems: Pros, Cons, and Mechanisms of Control             Yitzhak Pilpel   24. Genome-Scale Integrative Data Analysis and Modeling of Dynamic Processes in Yeast             Jean-Marc Schwartz and Claire Gaugain   25. Genome-Scale Metabolic Models of Saccharomyces cerevisiae             Intawat Nookaew, Roberto Olivares-Hernandez, Sakarindr Bhumiratana, and Jens Nielsen   26. Representation, Simulation, and Hypothesis Generation in Graph and Logical Models of Biological Networks ...

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