High Content Screening: Science, Techniques and Applications

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.Content: Chapter 1 Approaching High Content Screening and Analysis: Practical Advice for Users (pages 1–24): Scott Keefer and Joseph ZockChapter 2 Automated High Content Screening Microscopy (pages 25–42): Paul A. JohnstonChapter 3 A Primer on Image Informatics of High Content Screening (pages 43–84): Xiaobo Zhou and Stephen T. C. WongChapter 4 Developing Robust High Content Assays (pages 85–109): Arijit Chakravarty, Douglas Bowman, Jeffrey A. Ecsedy, Claudia Rabino, John Donovan, Natalie D'Amore, Ole Petter Veiby, Mark Rolfe and Sudeshna DasChapter 5 HCS in Cellular Oncology and Tumor Biology (pages 111–143): Steven A. Haney, Jing Zhang, Jing Pan and Peter LaPanChapter 6 Exploring the Full Power of Combining High Throughput RNAi with High Content Readouts: From Target Discovery Screens to Drug Modifier Studies (pages 145–168): 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. EcheverriChapter 7 Leveraging HCS in Neuroscience Drug Discovery (pages 169–187): Myles Fennell, Beal McIlvain, Wendy Stewart and John DunlopChapter 8 Live Brain Slice Imaging for Ultra High Content Screening: Automated Fluorescent Microscopy to Study Neurodegenerative Diseases (pages 189–204): O. Joseph Trask, C. Todd DeMarco, Denise Dunn, Thomas G. Gainer, Joshua Eudailey, Linda Kaltenbach and Donald C. LoChapter 9 High Content Analysis of Human Embryonic Stem Cell Growth and Differentiation (pages 205–224): 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 MangoubiChapter 10 HCS for HTS (pages 225–247): Ann F. Hoffman and Ralph J. GarippaChapter 11 The Roles of High Content Cellular Imaging in Lead Optimization (pages 249–268): Jonathan A. Lee, Karen Cox, Aidas Kriauciunas and Shaoyou ChuChapter 12 Using High Content Analysis for Pharmacodynamic Assays in Tissue (pages 269–291): Arijit Chakravarty, Douglas Bowman, Kristine Burke, Bradley Stringer, Barbara Hibner and Katherine GalvinChapter 13 High Content Analysis of Sublethal Cytotoxicity in Human HepG2 Hepatocytes for Assessing Potential and Mechanism for Chemical? and Drug?Induced Human Toxicity (pages 293–316): Peter J. O'BrienChapter 14 Open File Formats for High Content Analysis (pages 317–328): Jason R. Swedlow, Curtis Rueden, Jean?Marie Burel, Melissa Linkert, Brian Loranger, Chris Allan and Kevin W. EliceiriChapter 15 Analysis of Multiparametric HCS Data (pages 329–354): Andrew A. Hill, Peter LaPan, Yizheng Li and Steven A. HaneyChapter 16 Quantitative and Qualitative Cellular Genomics: High Content Analysis as an End Point for HT?RNAi Phenotype Profiling Using GE's IN Cell Platform (pages 355–369): David O. Azorsa, Christian Beaudry, Kandavel Shanmugam and Spyro MoussesChapter 17 Optimal Characteristics of Protein–Protein Interaction Biosensors for Cellular Systems Biology Profiling (pages 371–387): Kenneth A. Giuliano, Daniel R. Premkumar and D. Lansing Taylor