Kinase Signaling Networks

  • Aik-Choon Tan
  • Paul H. Huang

Part of the Methods in Molecular Biology book series (MIMB, volume 1636)

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Synthetic Biology, Chemical Biology, and Screening Approaches

    1. Front Matter
      Pages 1-1
    2. Alexander G. Goglia, Maxwell Z. Wilson, Daniel B. DiGiorno, Jared E. Toettcher
      Pages 3-20
    3. Anne-Marie Ray, Jennifer E. Klomp, Kerrie B. Collins, Andrei V. Karginov
      Pages 21-33
    4. Michael Pargett, Taryn E. Gillies, Carolyn K. Teragawa, Breanne Sparta, John G. Albeck
      Pages 35-59
    5. Jon R. Beck, Edward N. Harris, Cliff I. Stains
      Pages 61-70
    6. Ames C. Register, Sujata Chakraborty, Dustin J. Maly
      Pages 79-89
    7. Martin Golkowski, Dustin J. Maly, Shao-En Ong
      Pages 105-117
    8. Simon R. Stockwell, Sibylle Mittnacht
      Pages 133-161
    9. Katherine R. Singleton, Keith T. Earley, Lynn E. Heasley
      Pages 163-177
    10. Andri Leonidou, Barrie Peck, Rachael Natrajan
      Pages 179-195
  3. Mass Spectrometry and Metabolic Analysis of Kinase Signaling

    1. Front Matter
      Pages 197-197
    2. Edmund Wilkes, Pedro R. Cutillas
      Pages 199-217
    3. Christopher J. Tape, Claus Jørgensen
      Pages 219-234
    4. Joseph Robertson, Jonathan D. Humphries, Nikki R. Paul, Stacey Warwood, David Knight, Adam Byron et al.
      Pages 235-251
    5. Malgorzata Broncel, Paul H. Huang
      Pages 253-262

About this book


This detailed volume describes cutting-edge techniques in three distinct and complementary areas of contemporary kinase biology research. Beginning with a section on synthetic biology, chemical biology, and screening approaches to kinase signaling networks, the book continues with sections on mass spectrometry and metabolic analysis of kinase signaling as well as computational analysis of kinase signaling networks. Written for the highly successful Methods in Molecular Biologyseries, chapters include introductions to 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. 

Authoritative and practical, Kinase Signaling Networks aims to provide scientists with the tools necessary to overcome the technological bottlenecks that limit our ability to gain a deeper mechanistic understanding of kinase biology.


Protein science Synthetic biology Screening approaches Mass spectrometry Computational analysis Chemical biology Drug development

Editors and affiliations

  • Aik-Choon Tan
    • 1
  • Paul H. Huang
    • 2
  1. 1.Division of Medical OncologyUniversity of ColoradoAuroraUSA
  2. 2.Protein Networks LaboratoryInstitute of Cancer ResearchLondonUnited Kingdom

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media LLC 2017
  • Publisher Name Humana Press, New York, NY
  • eBook Packages Springer Protocols
  • Print ISBN 978-1-4939-7152-7
  • Online ISBN 978-1-4939-7154-1
  • Series Print ISSN 1064-3745
  • Series Online ISSN 1940-6029
  • About this book