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New Frontiers of Network Analysis in Systems Biology

  • Book
  • © 2012

Overview

Editors:
  1. Avi Ma'ayan

    1. Pharmacology & Systems Therapeutics, Systems Biology Center New York, Mount Sinai School of Medicine, New York, USA

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  2. Ben D. MacArthur

    1. Institute For Life Sciences, Southampton University, Southampton, United Kingdom

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  • Provides in depth knowledge in an area of research that is difficult to master because it is new and emerging, as well as very multidisciplinary
  • Covers topics not yet available in other text books
  • Discusses concepts and ideas in a novel point of view about emerging design patterns observed in empirical complex systems including biological regulatory molecular networks

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-x
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  2. Gene Expression Profiling and Regulatory Networks in Single Cells

    • Fumio Arai, Kentaro Hosokawa, Yoshiko Matsumoto, Hirofumi Toyama, Toshio Suda
    Pages 1-13

  3. Cell Fate Regulatory Networks

    • Sonya J. Ridden, Ben D. MacArthur
    Pages 15-29

  4. Noise in Regulatory Networks

    • Srinandan Dasmahapatra
    Pages 31-58

  5. Generalised Modelling in Systems Biology

    • Thilo Gross
    Pages 59-75

  6. Relative Quantification Mass Spectrometry Using iTRAQ Isobaric Tags

    • Richard D. Unwin, Emma Carrick, Anthony D. Whetton
    Pages 77-95

  7. Deciphering Protein Complexes and Protein Interaction Networks for Stem Cell Pluripotency

    • Jianlong Wang
    Pages 97-118

  8. Omics Era in Stem Cell Research: Data Integration of Multi-regulatory Layers

    • Ana Sevilla, Benjamin Trinite, Ihor R. Lemischka
    Pages 119-137

  9. High Throughput Affinity Purification and Mass Spectrometry to Determine Protein Complex Interactions

    • Anna Malovannaya, Rainer B. Lanz, Bert W. O’Malley, Jun Qin
    Pages 139-159

  10. Network Pharmacology to Aid the Drug Discovery Process

    • Ruth Dannenfelser, Huilei Xu, Catherine Raimond, Avi Ma’ayan
    Pages 161-172

  11. What Can Networks Do for You?

    • Bernhard M. Schuldt, Franz-Josef Müller, Andreas A. Schuppert
    Pages 173-194

  12. Back Matter

    Pages 195-199
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Keywords

About this book

The rapidly developing field of systems biology is influencing many aspects of biological research and is expected to transform biomedicine. Some emerging offshoots and specialized branches in systems biology are receiving particular attention and are becoming highly active areas of research. This collection of invited reviews describes some of the latest cutting-edge experimental and computational advances in these emerging sub-fields of systems biology. In particular, this collection focuses on the study of mammalian embryonic stem cells; new technologies involving mass-spectrometry proteomics; single cell measurements; methods for modeling complex stochastic systems; network-based classification algorithms; and the revolutionary emerging field of systems pharmacology.

Editors and Affiliations

  • Pharmacology & Systems Therapeutics, Systems Biology Center New York, Mount Sinai School of Medicine, New York, USA

    Avi Ma'ayan

  • Institute For Life Sciences, Southampton University, Southampton, United Kingdom

    Ben D. MacArthur

About the editors

Avi Ma’ayan, Ph.D., is an Assistant Professor in the Department of Pharmacology and Systems Therapeutics at Mount Sinai School of Medicine, New York, NY, USA. His interests are in applying graph theory, machine learning, dimensionality reduction, dynamical modeling, and visualization methods for integrating “omics” datasets collected from mammalian sources to better understand biological regulation on a global scale.

Ben D. MacArthur, Ph.D., is a Lecturer in Mathematics at the Life Science Interface in the Schools of Mathematics and Medicine at the University of Southampton, UK. His interests are in applying mathematical methods to problems in cell and molecular biology including modeling of cell fate, analysis of the structure and function of biological regulatory networks, and high throughput data analysis and bioinformatics.

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