High content screening : a powerful approach to systems cell biology and drug discovery
著者
書誌事項
High content screening : a powerful approach to systems cell biology and drug discovery
(Methods in molecular biology / John M. Walker, series editor, 356)
Humana Press, c2007
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
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.
目次
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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