High-Throughput Screening Assays in Toxicology

  • Hao Zhu
  • Menghang Xia

Part of the Methods in Molecular Biology book series (MIMB, volume 1473)

Table of contents

  1. Front Matter
    Pages i-xii
  2. In Vitro Toxicological High-Thoughput Screening Methods

    1. Front Matter
      Pages 1-1
    2. Srilatha Sakamuru, Matias S. Attene-Ramos, Menghang Xia
      Pages 17-22
    3. Caitlin Lynch, Jinghua Zhao, Hongbing Wang, Menghang Xia
      Pages 33-42
    4. Kana Nishihara, Sampada A. Shahane, Menghang Xia
      Pages 71-76
    5. Sampada A. Shahane, Kana Nishihara, Menghang Xia
      Pages 77-85
  3. In Vivo Toxicological High-Thoughput Screening Methods

    1. Front Matter
      Pages 87-87
    2. Lisa Truong, Michael T. Simonich, Robert L. Tanguay
      Pages 89-98
    3. Zachary Lundby, Jessica Camacho, Patrick Allard
      Pages 99-107
  4. In Silico High-Thoughput Screening Toxcity Data Analysis

  5. Back Matter
    Pages 173-175

About this book


This book focuses on recently developed High Throughput Screening (HTS) assay protocols, many involved in the ToxCast and/or Tox21 initiatives, and the relevant HTS data analysis techniques. Divided into three sections, in vitro assays, in vivo assays, and computational techniques to analyze HTS data are all examined. Written for the highly successful Methods in Molecular Biology series, most 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, High Throughput Screening Assays in Toxicology serves as a valuable reference resource for translating new HTS techniques into standardized chemical toxicity assessment tools in order to advance modern toxicology research to a new era where HTS techniques can partially replace the prevailing animal models.


Chemical toxicity testing HTS assays Computational techniques In vitro and In vivo Toxicology assessment tools HTS data analysis techniques

Editors and affiliations

  • Hao Zhu
    • 1
  • Menghang Xia
    • 2
  1. 1.Department of Chemistry Rutgers Center for Computational and Integrative BiologyRutgers UniversityCamdenUSA
  2. 2.National Center for Advancing Translational SciencesNational Institutes of HealthBethesdaUSA

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media New York 2016
  • Publisher Name Humana Press, New York, NY
  • eBook Packages Springer Protocols
  • Print ISBN 978-1-4939-6344-7
  • Online ISBN 978-1-4939-6346-1
  • Series Print ISSN 1064-3745
  • Series Online ISSN 1940-6029
  • Buy this book on publisher's site
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