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This detailed volume explores recent advances in phenotypic screening, such as high-resolution microscopy, high-throughput screening, and artificial intelligence (AI)-based image and data analysis tools. The methodologies found within the book enable the characterization of pathomechanisms of human diseases, support the targeted development of novel drugs and personalized medicine, and also aid in the development of novel chemicals to combat human parasites or to identify undesired effects caused by environmental pollutants. Written for the highly successful Methods in Molecular Biology series, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step and readily reproducible laboratory protocols, and tips for troubleshooting and avoiding known pitfalls.
Authoritative and practical, Phenotypic Screening: Methods and Protocols serves as an ideal guide to this growing field that touches areas of basic and translational biomedical research, clinical and pharmaceutical research, biotechnology, toxicology, and bioinformatics.
Chapters 2, 3, 4, 5, 6, 7, 8, and 18 are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
List of contents
High-Content Screening Framework for Academic Early Drug Discovery.- The Cell Painting PLUS Assay: Phenotypic Profiling Using Iterative Staining-Elution Cycles.- Analyzing Cell Painting PLUS Data Using Cell Profiler and KNIME Analytics Platform.- Cell Painting Protocol to Characterize Morphological Profiles of Large Compound Collections Using the EU-OPENSCREEN Library.- The E-Morph Screening Assay: Phenotypic Screening for Estrogenic or Anti-Estrogenic Compound Activities.- Phenotypic Characterization Using Open-Source Deep Learning Tools.- Quality Control Measures and Statistical Strategies to Address the Challenges of High-Content Phenotypic Data.- Morphological Data Analysis: From Descriptor Development to Predictive Modeling.- Digital Holographic Microscopy for Phenotypic Profiling of Adherent Cells.- Semi-Automated Detection of Late Cytokinetic Bridges.- Phenotypic Drug Screening for Novel Antifibrotic Therapeutics in Lung Health.- Spinal Spheroids as Screening Platform for Peripheral Neuropathies.- A Head and Neck Cancer Spheroid Model for Phenotypic High-Content Screening of Chemoresistance.- Dissecting Bacterial Growth Variants by Cellular Phenotypic Profiling and Backtracing.- Large-Scale Mutagenesis Screening for Genetic Determinants of Plasmodium falciparum Sexual Development.- High-Throughput Phenotypic and Metabolic Screening of Wild Yeasts for Their Biotechnological Application.- Invertebrate Automated Phenotyping Platform (INVAPP): An Automated High-Throughput System with Applications in Understanding and Combating Human Diseases.- CRISPR/Cas9-Based Mutagenesis Strategies for Efficient Biallelic Gene Inactivation and Consistent Phenotypic Detection in F0 Zebrafish.
Summary
This detailed volume explores recent advances in phenotypic screening, such as high-resolution microscopy, high-throughput screening, and artificial intelligence (AI)-based image and data analysis tools. The methodologies found within the book enable the characterization of pathomechanisms of human diseases, support the targeted development of novel drugs and personalized medicine, and also aid in the development of novel chemicals to combat human parasites or to identify undesired effects caused by environmental pollutants. Written for the highly successful Methods in Molecular Biology series, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step and readily reproducible laboratory protocols, and tips for troubleshooting and avoiding known pitfalls.
Authoritative and practical, Phenotypic Screening: Methods and Protocols serves as an ideal guide to this growing field that touches areas of basic and translational biomedical research, clinical and pharmaceutical research, biotechnology, toxicology, and bioinformatics.
Chapters 2, 3, 4, 5, 6, 7, 8, and 18 are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
