CiNii 図書 - High content screening : a powerful approach to systems cell biology and drug discovery

There has always been some tension between proponents of hypothesis-driven and discovery-driven research in the broad field of life sciences. Academic research has been primarily focused on hypothesis-driven research. However, the success of the human genome project, a discovery-driven research approach, has opened the door to adding other types of discovery-driven research to a continuum of research approaches. In contrast, drug discovery research in the pharmaceutical industry has embraced discovery-driven research for many years. A good example has been the discovery of active compounds from large chemical libraries, through screening campaigns. The success of the human genome project has also demonstrated the need for both academic researchers and industrial researchers to now understand the functions of genes and gene products. The cell is the basic unit of life and it has been at the cellular level where function can be demonstrated most cost-effectively and rapidly. High content screening (HCS) was developed by Cellomics Inc. in the mid-1990s to address the need for a platform that could be used in the discovery-driven research and development required to understand the functions of genes and gene products at the level of the cell.

Part I. Introduction to High Content Screening Past, Present, and Future of High Content Screening and the Field of Cellomics D. Lansing Taylor A Pharmaceutical Company User's Perspective on the Potential of High Content Screening in Drug Discovery Ann F. Hoffman and Ralph J. Garippa Linking Microscopy and High Content Screening in Large-Scale Biomedical Research James G. Evans and Paul Matsudaira. Part II. Instrumentation, Biological Application Software, and Sample Preparation Requirements, Features, and Performance of High Content Screening Platforms Albert H. Gough and Paul A. Johnston Characteristics and Value of Directed Algorithms in High Content Screening Richik N. Ghosh, Oleg Lapets, and Jeffrey R. Haskins Characteristics and Value of Machine Learning for Imaging in High Content Screening Juergen A. Klenk Tools for Quantitative and Validated Measurements of Cells Anne L. Plant, John T. Elliott, Alessandro Tona, Dennis McDaniel, and Kurt J. Langenbach Automated Cell Plating and Sample Treatments for Fixed Cells in High Content Assays Gillian R. Richards, Julie E. Kerby, Grace K. Y. Chan, and Peter B. Simpson Differentiating Primary Human Cells in Rapid-Throughput Discovery Applications Daniel R. Marshak and Dale E. Greenwalt Use of the CellCard (TM) System for Analyzing Multiple Cell Types in Parallel Oren Beske, Daniel Bassoni, and Simon Goldbard Part III. Reagents Reagents to Measure and Manipulate Cell Functions Kenneth A. Giuliano, D. Lansing Taylor, and Alan S. Waggoner Fluorescent Proteins and Engineered Cell Lines Nick Thomas Optimizing the Integration of Immunoreagents and Fluorescent Probes for Multiplexed High Content Screening Assays Kenneth A. Giuliano The HaloTag (TM): A Novel Technology for Cell Imaging andProtein Analysis Georgyi V. Los and Keith Wood Protein Labeling With FlAsH and ReAsH Thomas Machleidt, Matt Robers, and George T. Hanson Exploiting Network Biology to Improve Drug Discovery Marnie L. MacDonald and John K. Westwick Physiological Indicators of Cell Function Michael J. Ignatius and Jeffrey T. Hung The Use of siRNA to Validate Immunofluorescence Studies K. Gregory Moore, Wayne Speckmann, and Ronald P. Herzig Caged Substrates Applied to High Content Screening: An Introduction With an Eye to the Future Peter G. Conrad, II, Rajesh V. Chavli, and Richard S. Givens Part IV. Informatics and Bioinformatics Overview of Informatics for High Content Screening R. Terry Dunlay, Wallace J. Czekalski, and Mark A. Collins Large-Scale Data Management for High Content Screening Leon S. Garfinkel An Integrated Biomedical Knowledge Extraction and Analysis Platform: Using Federated Search and Document Clustering Technology Donald P. Taylor Visualization of High Content Screening Data Matthew J. Anstett Pathway Mapping Tools for Analysis of High Content Data Sean Ekins, Yuri Nikolsky, Andrej Bugrim, Eugene Kirillov, and Tatiana Nikolskaya Part V. Assays and Applications of High Content Screening Systems Biology in Cancer Research: Genomics to Cellomics Jackie L. Stilwell, Yinghui Guan, Richard M. Neve, and Joe W. Gray Target Validation in Drug Discovery Robert A. Blake High Content Screening as a Screening Tool in Drug Discovery Anthony Nichols Discovery of Protein Kinase Phosphatase Inhibitors Andreas Vogt and John S. Lazo High Content Translocation Assays for Pathway Profiling Frosty Loechel, Sara Bjorn, Viggo Linde, Morten Praestegaard, and Len Pagliaro In Vitro Cytotoxicity Assessment Peter

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High content screening : a powerful approach to systems cell biology and drug discovery

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