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This book provides comprehensive coverage of high content screening (HCS) and serves as an important reference for researchers in academics, biotechnology, and pharmaceutical companies. It covers varied and important subjects like: assay development, applications for drug discovery and development, cell culture, image processing, database architecture and management, and model systems for analysis.
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
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Produktbeschreibung
This book provides comprehensive coverage of high content screening (HCS) and serves as an important reference for researchers in academics, biotechnology, and pharmaceutical companies. It covers varied and important subjects like: assay development, applications for drug discovery and development, cell culture, image processing, database architecture and management, and model systems for analysis.
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: * The basics of HCS, from the definition to detailed discussions of component technologies * Examples of HCS used in biological applications and early drug discovery, with an emphasis on applications in oncology and neuroscience * The use of HCS across the drug development pipeline * 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: * A wide range of topics, including assay development, cell culture, image processing, robotics, database architecture and management, model systems for analysis, and more * Focused discussions on imaging in 3D, imaging of tissues for pharmacodynamic studies, and screening of both small molecule and RNAi libraries by HCS * The roles of bench researchers and IT personnel in implementing and maintaining HCS platforms * 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.
  • Produktdetails
  • Verlag: Wiley & Sons; Wiley-Interscience
  • Seitenzahl: 444
  • Erscheinungstermin: 7. Januar 2008
  • Englisch
  • Abmessung: 240mm x 161mm x 28mm
  • Gewicht: 785g
  • ISBN-13: 9780470039991
  • ISBN-10: 047003999X
  • Artikelnr.: 23335566
Autorenporträt
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.
Inhaltsangabe
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.