Book Description Covering a key topic due to growing research into the role of signaling mechanisms in toxicology, this book focuses on practical approaches for informatics, big data, and complex data sets. Combines fundamentals / basics with experimental applications that can help those involved in preclinical drug studies and translational research Includes detailed presentations of study methodology and data collection, analysis, and interpretation Discusses tools like experimental design, sample handling, analytical measurement techniques Show and hide more
Table of Contents
Cover List of Contributors About the Editors Preface 1 Introduction to Cellular Signal Transduction 1.1 Starting Big, but Ending Small 1.2 Responding to Our Environment: Sensory Perception Begins and Ends with Signal Transduction 1.3 Primary Transport Systems Involved in Signal Transduction 1.4 Key Organelles Involved in Signal Transduction References 2 Mechanisms of Cellular Signal Transduction 2.1 Posttranslational Modifications and Their Roles in Signal Transduction 2.2 Receptors 2.3 Receptor Signaling Mechanisms 2.4 Receptor Tyrosine Kinases 2.5 Steroid Receptors 2.6 Reactive Oxygen Species (ROS) 2.7 Summary References 3 From Cellular Mechanisms to Physiological Responses 3.1 Introduction 3.2 Cellular Information Flow: Mechanisms of Cellular Signal Integration and Regulation 3.3 Crosstalk and Functional Signal Integration in Response to Insulin in Hepatocytes 3.4 Systemic Signal Integration 3.5 Dysregulation of Insulin Signaling in the Etiology of Type 2 Diabetes References 4 Signal Transduction in Disease 4.1 Introduction 4.2 Fibrosis as an Example of Complex Signaling 4.3 Cancer Drug Resistance: Complex Cellular and Population Changes 4.4 Summary References 5 Experimental Design in Signal Transduction 5.1 Overview of Basic Experimental Design 5.2 Aseptic Technique 5.3 Biological Sample Collection, Processing, and Pretreatment Technology 5.4 Sample Storage 5.5 Common In Vitro Studies in Toxicology/Pharmacology 5.6 Common In Vivo Studies in Toxicology 5.7 Basic Advantages and Disadvantages Associated with Sample Types 5.8 Human Epidemiology Studies 5.9 Examples of Tox‐ and Pharm‐Based Experiments Relevant to Signal Transduction Endpoints 5.10 Coupling Experimental Results Within the Larger Literature Framework to Generate Information References 6 Techniques for Measuring Cellular Signal Transduction 6.1 Introduction 6.2 High‐Throughput Versus High‐Content Data 6.3 Methods to Measure Signal Transduction Data 6.4 Techniques to Generate Large Datasets for Signal Transduction Network Analysis 6.5 Bioenergetics 6.6 Relating Signaling to Cellular Outcome Using Relevant Assays 6.7 Summary References Suggested Reading 7 Computational Methods for Signal Transduction 7.1 Introduction 7.2 Network Construction 7.3 Facing the Network Analysis 7.4 Employing Centrality Analysis to Evaluate Stressed Biological Systems 7.5 Interference Notion: How to Perform Virtual Knockout Experiments on Biological Networks 7.6 Network Analysis Software 7.7 Conclusions References 8 A Toxicological Application of Signal Transduction 8.1 Introduction 8.2 Classification of Toxic Agent and Exposure Effects: A Toxicological Perspective 8.3 Early Cellular Changes Post‐exposure 8.4 Experimentally Testing Early Cellular Changes that May Contribute to Exposure Sensing and Response References Appendix A 9 Future Research in Signaling 9.1 Translational Research and a Spatiotemporal Understanding of Signal Transduction 9.2 Integrating Second Messengers into Signal Transduction 9.3 Understanding Crosstalk in Signal Transduction 9.4 Posttranslational Modifications (PTMs) and Target Identification in Signal Transduction 9.5 Epigenetic Endpoints in Signal Transduction 9.6 The Integration of Nutrition and Signal Transduction References Index End User License Agreement