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.
Aus dem Inhalt
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.