Contemporary Approaches to the Study of Pain: From Molecules to Neural Networks

ISBN-13: 9781071620380 / Angielski / Twarda / 2022

Seal, Rebecca P.

Opis

This volume contains experimental approaches that are currently revolutionizing our understanding of the neurobiology of pain. The chapters cover many cutting-edge methods including the identification of gene expression profiles, transcriptomes or translatomes, from individual cells or defined groups of cells in rodents and primates;  the electrophysiological investigation of human tissues, such as human dorsal root ganglion neurons; ways to assess modality response profiles of neurons using calcium imaging in vitro and in vivo; and somatosensory behaviors in rodents using high-speed videography and machine learning.  In the Neuromethods series style, the chapters include detailed advice from specialists to obtain successful results in your laboratory.

Cutting-edge and comprehensive, Contemporary Approaches to the Study of Pain: From Molecules to Neural Networks is a valuable resource for scientists and researchers interested in making impactful contributions to our understanding of pain.

Spis treści

Preface to the Series…
Preface…
Table of Contents…
Contributing Authors…

1. Single-Cell RNA-Sequencing of Somatosensory Neurons 
Martin Häring and Jussi Kupari

2. Preparation of Human and Rodent Spinal Cord Nuclei for Single-Nucleus Transcriptomic Analysis
Alexander Chamessian and Temugin Berta

3. Multiplex In Situ Hybridization of the Primate and Rodent DRG and Spinal Cord
David W. Ferreira, Cynthia M. Arokiaraj, and Rebecca P. Seal

4. Using Translating Ribosome Affinity Purification (TRAP) to Understand Cell-Specific Translatomes in Pain States
Diana Tavares-Ferreira, Salim Megat, and Theodore J. Price

5. Ex Vivo Skin-Teased Fiber Recordings from Tibial Nerve
Katelyn E. Sadler, Teresa N. Patitucci, and Cheryl L. Stucky 

6. Single Unit Electrophysiological Recordings of Primary Muscle Sensory Neurons using a Novel Ex Vivo Preparation
Luis F. Queme and Michael P. Jankowski

7. Electrophysiological Recording Techniques from Human Dorsal Root Ganglion
Jamie K. Moy, Emanuel Loeza-Alcocer, and Michael S. Gold

8. Human Pluripotent Stem Cell-Derived Sensory Neurons: A New Translational Approach to Study Mechanisms of Sensitization?
Katrin Schrenk-Siemens

9. Intraspinal Transplantation of Precursors of Cortical GABAergic Interneurons to Treat Neuropathic Pain
João M. Braz and Allan I. Basbaum

10. A Co-Culture System for Studying Dorsal Spinal Cord Synaptogenesis
Yanhui Peter Yu and Z. David Luo

11. Visualizing Synaptic Connectivity using Confocal and Electron Microscopy: Neuroanatomical Approaches to Define Spinal Circuits
David I. Hughes and Andrew J. Todd

12. Using Viral Vectors to Visualize Pain-Related Neural Circuits in Mice
Bin Chen, Jun Takatoh, and Fan Wang

13. Recording Pain-Related Brain Activity in Behaving Animals using Calcium Imaging and Miniature Microscopes
Biafra Ahanonu and Gregory Corder

14. Optical Imaging of the Spinal Cord for the Study of Pain: From Molecules to Neural Networks
Kim I. Chisholm and Stephen B. McMahon

15. In Vivo Calcium Imaging of Peripheral Ganglia
Mark Lay and Xinzhong Dong

16. Optogenetic Modulation of the Visceromotor Response to Reveal Visceral Pain Mechanisms
Sarah A. Najjar, Emanuel Loeza-Alcocer, Brian M. Davis, and Kristen M. Smith-Edwards

17. Use of Optogenetics for the Study of Skin-Nerve Communication
Ariel Epouhe, Marsha Ritter Jones, Sarah A. Najjar, Jonathan A. Cohen, Daniel H. Kaplan, H. Richard Koerber, and Kathryn M. Albers

18. Channelrhodopsin-2 Assisted Circuit Mapping in the Spinal Cord Dorsal Horn
Kelly M. Smith and Brett A. Graham

19. Production of AAVs and Injection into the Spinal Cord
Hendrik Wildner, Jean-Charles Paterna, and Karen Haenraets

20. The Use of Intraspinally Injected Chemogenetic Receptor, PSAM-GlyR, to Probe the Functional Role of Spinal Dorsal Horn Neurons
Cynthia M. Arokiaraj, Myung-chul Noh, and Rebecca P. Seal 

21. Measuring Mouse Somatosensory Reflexive Behaviors with High-Speed Videography, Statistical Modeling, and Machine Learning
Ishmail Abdus-Saboor and Wenqin Luo