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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 3: Bioinformatics Analysis of Protein Secretion in Plants
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Chapter title
Bioinformatics Analysis of Protein Secretion in Plants
Chapter number 3
Book title
Plant Protein Secretion
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-7262-3_3
Pubmed ID
Book ISBNs
978-1-4939-7261-6, 978-1-4939-7262-3
Authors

Liyuan Chen

Abstract

In sessile plants, the dynamic protein secretion pathways orchestrate the cellular responses to internal signals and external environmental changes in almost every aspect of plant developmental events. The cohort of plant proteins, secreted from the plant cells into the extracellular matrix, has been annotated as plant secretome. Therefore, the identification and characterization of secreted proteins will discover novel secretory potentials and establish the functional connection between cellular protein secretion and plant physiological phenomena. Noteworthy, an increasing number of bioinformatics databases and tools have been developed for computational predictions on either secreted proteins or secretory pathways. This chapter summarizes current accessible databases and tools for protein secretion analysis in Arabidopsis thaliana and higher plants, and provides feasible methodologies for bioinformatics analysis of secretome studies for the plant research community.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 23%
Student > Master 2 15%
Researcher 2 15%
Student > Ph. D. Student 1 8%
Professor 1 8%
Other 1 8%
Unknown 3 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 23%
Biochemistry, Genetics and Molecular Biology 3 23%
Pharmacology, Toxicology and Pharmaceutical Science 1 8%
Business, Management and Accounting 1 8%
Engineering 1 8%
Other 0 0%
Unknown 4 31%