Engineering and Analyzing Multicellular Systems

Methods and Protocols

  • Lianhong Sun
  • Wenying Shou

Part of the Methods in Molecular Biology book series (MIMB, volume 1151)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Constructing Multicellular Systems

    1. Front Matter
      Pages 1-1
    2. Stephanie J. Yaung, George M. Church, Harris H. Wang
      Pages 3-25
    3. Xiao-Zhou Zhang, Chun You, Yi-Heng Percival Zhang
      Pages 95-101
    4. Sujung Lim, Sergey Stolyar, Kristina Hillesland
      Pages 103-115
    5. Choon Kit Wong, Mui Hua Tan, Bahareh Haji Rasouliha, In Young Hwang, Hua Ling, Chueh Loo Poh et al.
      Pages 117-133
  3. Analyzing and Modeling Multicellular Systems

    1. Front Matter
      Pages 135-135
    2. Kazufumi Hosoda, Naoaki Ono, Shingo Suzuki, Tetsuya Yomo
      Pages 151-164
    3. Kristen A. Brileya, Laura B. Camilleri, Matthew W. Fields
      Pages 189-197
    4. Seunghwa Kang, Simon Kahan, Babak Momeni
      Pages 233-253
  4. Back Matter
    Pages 255-256

About this book


Engineering Multicellular Systems: Methods and Protocols, focuses on laboratory procedures used in recent efforts for constructing synthetic multicellular systems and their applications. In particular, constructing multicellular systems to form various microbial ecosystems has been extensively explored to examine evolution and interactions of microbial ecosystems, while co-cultures have emerged as an efficient tool to produce some complex chemical molecules. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and key tips on troubleshooting and avoiding known pitfalls.


Engineering Multicellular Systems: Methods and Protocols provides a comprehensive laboratory protocol reference for constructing multicellular systems for various applications.​


Microbial ecosystems cell-cell interactions engineering genetic microbial communities microbial species predictive mathematical models synthetic communities

Editors and affiliations

  • Lianhong Sun
    • 1
  • Wenying Shou
    • 2
  1. 1.School of Life Sciences, University of Science & Technology of China,HefeiChina
  2. 2.Division of Basic SciencesFred Hutchinson Cancer Research CenterSeattleUSA

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media New York 2014
  • Publisher Name Humana Press, New York, NY
  • eBook Packages Springer Protocols
  • Print ISBN 978-1-4939-0553-9
  • Online ISBN 978-1-4939-0554-6
  • Series Print ISSN 1064-3745
  • Series Online ISSN 1940-6029
  • Buy this book on publisher's site