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Plant Protein Secretion

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Cover of 'Plant Protein Secretion'

Table of Contents

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    Book Overview
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    Chapter 1 An Overview of Protein Secretion in Yeast and Animal Cells
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    Chapter 2 An Overview of Protein Secretion in Plant Cells
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    Chapter 3 Bioinformatics Analysis of Protein Secretion in Plants
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    Chapter 4 Proteomic Analysis of Secreted Proteins from Cell Microenvironment
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    Chapter 5 Using Homology Modeling to Understand the Structural Basis of Specific Interaction of a Plant-Specific AtSar1a–AtSec23a Pair Involved in Protein ER Export
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    Chapter 6 Analysis of Golgi-Mediated Protein Traffic in Plant Cells
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    Chapter 7 Analysis of Membrane Protein Topology in the Plant Secretory Pathway
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    Chapter 8 Semiautomatic Segmentation of Plant Golgi Stacks in Electron Tomograms Using 3dmod
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    Chapter 9 3D Printing of Plant Golgi Stacks from Their Electron Tomographic Models
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    Chapter 10 Transient Expression of Chimeric Fluorescent Reporter Proteins in Pollen Tubes to Study Protein Polar Secretion and Dynamics
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    Chapter 11 Analysis of Actin-Based Intracellular Trafficking in Pollen Tubes
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    Chapter 12 Analysis of Phragmoplast Kinetics During Plant Cytokinesis
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    Chapter 13 Immunofluorescence Analysis of Membrane-Associated Proteins for Clathrin-Mediated Endocytosis in Plant Root Cells
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    Chapter 14 In Vivo Interaction Studies by Measuring Förster Resonance Energy Transfer Through Fluorescence Lifetime Imaging Microscopy (FRET/FLIM)
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    Chapter 15 Analysis of Nanobody–Epitope Interactions in Living Cells via Quantitative Protein Transport Assays
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    Chapter 16 A Secretion System for Cargo Protein Identification of Vacuolar Sorting Receptors
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    Chapter 17 Identifying Novel Regulators of Vacuolar Trafficking by Combining Fluorescence Imaging-Based Forward Genetic Screening and In Vitro Pollen Germination
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    Chapter 18 Measuring Plant Protein Secretion
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    Chapter 19 Transient Secretory Enzyme Expression in Leaf Protoplasts to Characterize SNARE Functional Classes in Conventional and Unconventional Secretion
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    Chapter 20 The Organelle pH Estimate and Measurement in Plant Secretory Pathway
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    Chapter 21 Analysis of Exocyst-Positive Organelle (EXPO)-Mediated Unconventional Protein Secretion (UPS) in Plant Cells
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    Chapter 22 Isolation of the Plant Exocyst Complex
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    Chapter 23 Using Microscopy Tools to Visualize Autophagosomal Structures in Plant Cells
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    Chapter 24 Analysis of Plant Autophagy
Attention for Chapter 15: Analysis of Nanobody–Epitope Interactions in Living Cells via Quantitative Protein Transport Assays
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Chapter title
Analysis of Nanobody–Epitope Interactions in Living Cells via Quantitative Protein Transport Assays
Chapter number 15
Book title
Plant Protein Secretion
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-7262-3_15
Pubmed ID
Book ISBNs
978-1-4939-7261-6, 978-1-4939-7262-3
Authors

Simone Früholz, Peter Pimpl

Abstract

Over the past few decades, quantitative protein transport analyses have been used to elucidate the sorting and transport of proteins in the endomembrane system of plants. Here, we have applied our knowledge about transport routes and the corresponding sorting signals to establish an in vivo system for testing specific interactions between soluble proteins.Here, we describe the use of quantitative protein transport assays in tobacco mesophyll protoplasts to test for interactions occurring between a GFP-binding nanobody and its GFP epitope. For this, we use a secreted GFP-tagged α-amylase as a reporter together with a vacuolar-targeted RFP-tagged nanobody. The interaction between these proteins is then revealed by a transport alteration of the secretory reporter due to the interaction-triggered attachment of the vacuolar sorting signal.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 33%
Student > Ph. D. Student 2 22%
Student > Master 2 22%
Professor > Associate Professor 1 11%
Unknown 1 11%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 44%
Chemical Engineering 1 11%
Veterinary Science and Veterinary Medicine 1 11%
Agricultural and Biological Sciences 1 11%
Immunology and Microbiology 1 11%
Other 0 0%
Unknown 1 11%