High Content Screening
Science, Techniques and Applications
Published on 1. February 2008
Book
Hardback
424 pages
978-0-470-03999-1 (ISBN)
Description
The authoritative reference on HCS in biological and pharmaceutical research
High Content Screening (HCS) has been a leading methodology in toxicology studies for years. Recent advances have broadened the range of applications to encompass new areas. High Content Screening: Science, Techniques, and Applications provides comprehensive coverage of HCS in four sections:
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The basics of HCS, from the definition to detailed discussions of component technologies
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Examples of HCS used in biological applications and early drug discovery, with an emphasis on applications in oncology and neuroscience
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The use of HCS across the drug development pipeline
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Data management, data analysis, and systems biology, with guidelines for using the large datasets generated by HCS in systems-level studies
With chapters contributed by leading authorities from academia and industry, this guide covers:
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A wide range of topics, including assay development, cell culture, image processing, robotics, database architecture and management, model systems for analysis, and more
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Focused discussions on imaging in 3D, imaging of tissues for pharmacodynamic studies, and screening of both small molecule and RNAi libraries by HCS
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The roles of bench researchers and IT personnel in implementing and maintaining HCS platforms
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The challenges and advantages of using HCS today, and a look at future directions
With eighty-seven detailed figures readers can refer to in full color on the accompanying CD-ROM, this is the premier, hands-on reference on HCS for researchers in academia, biotechnology, and pharmaceutical companies. It's also an excellent resource for lab managers and graduate students in biochemistry, cell biology, toxicology, and related fields.
More details
Product info
Book with CD-ROM
Edition
1. Auflage
Language
English
Place of publication
United States
Publishing group
John Wiley & Sons Inc
Target group
Professional and scholarly
Dimensions
Height: 240 mm
Width: 161 mm
Thickness: 28 mm
Weight
830 gr
ISBN-13
978-0-470-03999-1 (9780470039991)
Schweitzer Classification
Other editions
Additional editions
E-Book
07/2008
Wiley
€159.99
Available for download
Person
Steven A. Haney, PhD, is a Principal Scientist in the Department of Biological Technologies at Wyeth Research, where he has developed programs for oncology drug development, built a HCS program for use in target validation and drug discovery, and prepared gene family-based target validation strategies. Dr. Haney has authored many peer-reviewed articles and has spoken at numerous conferences on HCS.
Content
Preface.
Contributors.
SECTION I: ESSENTIALS OF HIGH CONTENT SCREENING.
1. Approaching High Content Screening and Analysis: Practical Advice for Users (Scott Keefer and Joseph Zock).
References.
2. Automated High Content Screening Microscopy (Paul A. Johnston).
References.
3. A Primer on Image Informatics of High Content Screening (Xiaobo Zhou and Stephen T.C. Wong).
References.
4. Developing Robust High Content Assays (Arijit Chakravarty, Douglas Bowman, Jeffrey A. Ecsedy, Claudia Rabino, John Donovan, Natalie D'Amore, Ole Petter Veiby, Mark Rolfe, and Sudeshna Das).
References.
SECTION II: APPLICATIONS OF HCS IN BASIC SCIENCE AND EARLY DRUG DISCOVERY.
5. HCS in Cellular Oncology and Tumor Biology (Steven A. Haney, Jing Zhang, Jing Pan, and Peter LaPan).
References.
6. Exploring the Full Power of Combining High Throughput RNAi with High Content Readouts: From Target Discovery Screens to Drug Modifier Studies (Christoph Sachse, Cornelia Weiss-Haljiti, Christian Holz, Kathrin Regener, Francoise Halley, Michael Hannus, Corina Frenzel, Sindy Kluge, Mark Hewitson, Benjamin Bader, Amy Burd, Louise Perkins, Alexander Szewczak, Stefan Prechtl, Claudia Merz, Peter Rae, Dominik Mumberg, and Christophe J. Echeverri).
References.
7. Leveraging HCS in Neuroscience Drug Discovery (Myles Fennell, Beal McIlvain, and John Dunlop).
References.
8. Live Brain Slice Imaging for Ultra High Content Screening: Automated Fluorescent Microscopy to Study Neurodegenerative Diseases (O. Joseph Trask, Jr., C. Todd DeMarco, Denise Dunn, Thomas G. Gainer, Joshua Eudailey, and Donald C. Lo).
References.
9. High Content Analysis of Human Embryonic Stem Cell Growth and Differentiation (Paul J. Sammak, Vivek Abraham, Richik Ghosh, Jeff Haskins, Esther Jane, Patti Petrosko, Teresa M. Erb, Tia N. Kinney, Christopher Jefferys, Mukund Desai, and Rami Mangoubi).
References.
SECTION III: HCS IN DRUG DEVELOPMENT.
10. HCS for HTS (Ann F. Hoffman and Ralph J. Garippa).
References.
11. The Roles of High Content Cellular Imaging in Lead Optimization (Jonathan A. Lee, Karen Cox, Aidas Kriauciunas, and Shaoyou Chu).
References.
12. Using High Content Analysis for Pharmacodynamic Assays in Tissue (Arijit Chakravarty, Douglas Bowman, Kristine Burke, Bradley Stringer, Barbara Hibner, and Katherine Galvin).
References.
13. High Content Analysis of Sublethal Cytotoxicity in Human HepG2 Hepatocytes for Assessing Potential and Mechanism for Chemicaland Drug-Induced Human Toxicity (Peter J. O'Brien).
References.
SECTION IV: DATA MANAGEMENT, DATA ANALYSIS AND SYSTEMS BIOLOGY.
14. Open File Formats for High Content Analysis (Jason R. Swedlow, Curtis Rueden, Jean-Marie Burel, Melissa Linkert, Brian Loranger, Chris Allan, and Kevin W. Eliceiri).
References.
15. Analysis of Multiparametric HCS Data (Andrew Hill, Peter LaPan, Yizheng Li, and Steven A. Haney).
References.
16. Quantitative and Qualitative Cellular Genomics: High Content Analysis as an Endpoint for HT-RNAi Phenotype Profiling Using GE's InCell Platform (David O. Azorsa, Christian Beaudry, Kandavel Shanmugam, and Spyro Mousses).
References.
17. Optimal Characteristics of Protein-Protein Interaction Biosensors for Cellular Systems Biology Profiling (Kenneth A. Giuliano, David Premkumar, and D. Lansing Taylor).
References.
Index.