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High-Resolution Imaging of Cellular Proteins

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Cover of 'High-Resolution Imaging of Cellular Proteins'

Table of Contents

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    Book Overview
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    Chapter 1 Expression of Epitope-Tagged Proteins in Mammalian Cells in Culture.
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    Chapter 2 Antibody Production with Synthetic Peptides.
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    Chapter 3 High-Resolution Imaging of Cellular Proteins
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    Chapter 4 Preparation of Colloidal Gold Particles and Conjugation to Protein A/G/L, IgG, F(ab')2, and Streptavidin.
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    Chapter 5 Helper-Dependent Adenoviral Vectors and Their Use for Neuroscience Applications.
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    Chapter 6 Localizing Proteins in Fixed Giardia lamblia and Live Cultured Mammalian Cells by Confocal Fluorescence Microscopy.
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    Chapter 7 Using Fluorescent Protein Fusions to Study Protein Subcellular Localization and Dynamics in Plant Cells.
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    Chapter 8 Using FRAP or FRAPA to Visualize the Movement of Fluorescently Labeled Proteins or Cellular Organelles in Live Cultured Neurons Transformed with Adeno-Associated Viruses.
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    Chapter 9 Bimolecular Fluorescence Complementation (BiFC) Analysis of Protein-Protein Interactions and Assessment of Subcellular Localization in Live Cells.
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    Chapter 10 Viral Injection and Cranial Window Implantation for In Vivo Two-Photon Imaging.
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    Chapter 11 Imaging Synaptic Vesicle Exocytosis-Endocytosis with pH-Sensitive Fluorescent Proteins.
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    Chapter 12 Immunogold Protein Localization on Grid-Glued Freeze-Fracture Replicas.
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    Chapter 13 Pre-embedding Double-Label Immunoelectron Microscopy of Chemically Fixed Tissue Culture Cells.
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    Chapter 14 Immunoelectron Microscopy of Cryofixed and Freeze-Substituted Plant Tissues.
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    Chapter 15 High-Resolution Imaging of Cellular Proteins
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    Chapter 16 Pre-embedding Method of Electron Microscopy for Glycan Localization in Mammalian Tissues and Cells Using Lectin Probes.
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    Chapter 17 Pre-embedding Nanogold Silver and Gold Intensification.
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    Chapter 18 Post-embedding Mammalian Tissue for Immunoelectron Microscopy: A Standardized Procedure Based on Heat-Induced Antigen Retrieval.
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    Chapter 19 Pre- and Post-embedding Immunogold Labeling of Tissue Sections.
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    Chapter 20 High-Resolution Imaging of Cellular Proteins
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    Chapter 21 Monitoring Synaptic Vesicle Protein Sorting with Enhanced Horseradish Peroxidase in the Electron Microscope.
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    Chapter 22 High-Resolution Imaging of Cellular Proteins
Attention for Chapter 5: Helper-Dependent Adenoviral Vectors and Their Use for Neuroscience Applications.
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Chapter title
Helper-Dependent Adenoviral Vectors and Their Use for Neuroscience Applications.
Chapter number 5
Book title
High-Resolution Imaging of Cellular Proteins
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-6352-2_5
Pubmed ID
Book ISBNs
978-1-4939-6350-8, 978-1-4939-6352-2
Authors

Mónica S. Montesinos, Rachel Satterfield, Samuel M. Young Jr. Ph.D., Samuel M. YoungJr., Samuel M. Young

Editors

Steven D. Schwartzbach, Omar Skalli, Thomas Schikorski

Abstract

Neuroscience research has been revolutionized by the use of recombinant viral vector technology from the basic, preclinical and clinical levels. Currently, multiple recombinant viral vector types are employed with each having its strengths and weaknesses depending on the proposed application. Helper-dependent adenoviral vectors (HdAd) are emerging as ideal viral vectors that solve a major need in the neuroscience field: (1) expression of transgenes that are too large to be packaged by other viral vectors and (2) rapid onset of transgene expression in the absence of cytotoxicity. Here, we describe the methods for large-scale production of HdAd viral vectors for in vivo use with neurospecific transgene expression.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 45%
Student > Ph. D. Student 3 27%
Student > Bachelor 2 18%
Professor 1 9%
Readers by discipline Count As %
Neuroscience 6 55%
Agricultural and Biological Sciences 4 36%
Medicine and Dentistry 1 9%