Yeast Systems Biology

Methods and Protocols

  • Juan I. Castrillo
  • Stephen G. Oliver

Part of the Methods in Molecular Biology book series (MIMB, volume 759)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Yeast Systems Biology

    1. Front Matter
      Pages 1-1
    2. Juan I. Castrillo, Stephen G. Oliver
      Pages 3-28
  3. Experimental Systems Biology: High-Throughput Genome-Wide and Molecular Studies

    1. Front Matter
      Pages 29-29
    2. Dustin E. Schones, Kairong Cui, Suresh Cuddapah
      Pages 61-71
    3. Andrew Hayes, Bharat M. Rash, Leo A.H. Zeef
      Pages 73-86
    4. Lior David, Sandra Clauder-Münster, Lars M. Steinmetz
      Pages 107-123
    5. Karl Waern, Ugrappa Nagalakshmi, Michael Snyder
      Pages 125-132
    6. Traude H. Beilharz, Thomas Preiss
      Pages 133-148
    7. Johanna Rees, Kathryn Lilley
      Pages 149-178
    8. Amy J. Claydon, Robert J. Beynon
      Pages 179-195
    9. Benoit Charloteaux, Quan Zhong, Matija Dreze, Michael E. Cusick, David E. Hill, Marc Vidal
      Pages 197-213
    10. Michael Proctor, Malene L. Urbanus, Eula L. Fung, Daniel F. Jaramillo, Ronald W. Davis, Corey Nislow et al.
      Pages 239-269
    11. Yuehua Wei, X.F. Steven Zheng
      Pages 307-319
  4. Computational Systems Biology: Computational Studies and Analyses

    1. Front Matter
      Pages 321-321
    2. Axel Kowald, Christoph Wierling
      Pages 345-365
    3. Stephen C.J. Parker, Aaron Harlap, Thomas D. Tullius
      Pages 367-379
    4. Shoshana J. Wodak, Jim Vlasblom, Shuye Pu
      Pages 381-406
    5. Intawat Nookaew, Roberto Olivares-Hernández, Sakarindr Bhumiratana, Jens Nielsen
      Pages 445-463
    6. Balázs Papp, Balázs Szappanos, Richard A. Notebaart
      Pages 483-497
  5. Yeast Systems Biology in Practice: Saccharomyces cerevisiae as a Tool for Mammalian Studies

    1. Front Matter
      Pages 499-499
  6. Back Matter
    Pages 525-535

About this book


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.


Biological networks Biotechnology Budding yeast Computational systems biology Eukaryotic systems Experimental 'omics techniques Experimental systems biology High-throughput genome-wide studies Medicine Model eukaryote Modeling Network Biology Next Generation Sequencing (NGS) Saccharomyces cerevisiae

Editors and affiliations

  • Juan I. Castrillo
    • 1
  • Stephen G. Oliver
    • 2
  1. 1., Department of BiochemistryUniversity of CambridgeCambridgeUnited Kingdom
  2. 2., Department of BiochemistryUniversity of CambridgeCambridgeUnited Kingdom

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media, LLC 2011
  • Publisher Name Humana Press
  • eBook Packages Springer Protocols
  • Print ISBN 978-1-61779-172-7
  • Online ISBN 978-1-61779-173-4
  • Series Print ISSN 1064-3745
  • Series Online ISSN 1940-6029
  • Buy this book on publisher's site