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Photorespiration

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Cover of 'Photorespiration'

Table of Contents

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    Book Overview
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    Chapter 1 Estimation of Photorespiratory Fluxes by Gas Exchange
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    Chapter 2 Measurement of Transcripts Associated with Photorespiration and Related Redox Signaling
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    Chapter 3 Measurement of Enzyme Activities
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    Chapter 4 In Vitro Alkylation Methods for Assessing the Protein Redox State
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    Chapter 5 Dimethyl-Labeling-Based Quantification of the Lysine Acetylome and Proteome of Plants
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    Chapter 6 In Vitro Analysis of Metabolite Transport Proteins
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    Chapter 7 Quantification of Photorespiratory Intermediates by Mass Spectrometry-Based Approaches
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    Chapter 8 Targeted Isolation and Characterization of T-DNA Mutants Defective in Photorespiration
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    Chapter 9 Exploiting Natural Variation to Discover Candidate Genes Involved in Photosynthesis-Related Traits
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    Chapter 10 Metabolic Engineering of Photorespiration
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    Chapter 11 13CO2 Labeling and Mass Spectral Analysis of Photorespiration
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    Chapter 12 Isotopically Nonstationary Metabolic Flux Analysis (INST-MFA) of Photosynthesis and Photorespiration in Plants
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    Chapter 13 Genome-Scale Modeling of Photorespiratory Pathway Manipulation
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    Chapter 14 Kinetic Modeling of Photorespiration
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    Chapter 15 Investigating the Role of the Photorespiratory Pathway in Non-photosynthetic Tissues
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    Chapter 16 Studying the Function of the Phosphorylated Pathway of Serine Biosynthesis in Arabidopsis thaliana
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    Chapter 17 Light Microscopy, Transmission Electron Microscopy, and Immunohistochemistry Protocols for Studying Photorespiration
Attention for Chapter 5: Dimethyl-Labeling-Based Quantification of the Lysine Acetylome and Proteome of Plants
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Chapter title
Dimethyl-Labeling-Based Quantification of the Lysine Acetylome and Proteome of Plants
Chapter number 5
Book title
Photorespiration
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-7225-8_5
Pubmed ID
Book ISBNs
978-1-4939-7224-1, 978-1-4939-7225-8
Authors

Ines Lassowskat, Markus Hartl, Fabian Hosp, Paul J. Boersema, Matthias Mann, Iris Finkemeier

Abstract

Photorespiratory enzymes in different cellular compartments have been reported to be posttranslational modified by phosphorylation, disulfide formation, S-nitrosylation, glutathionylation, and lysine acetylation. However, not much is known yet about the function of these modifications to regulate the activities, localizations, or interactions of the proteins in this metabolic pathway. Hence, it will be of great importance to study these modifications and their temporal and conditional occurrence in more detail. Here, we focus on the analysis of lysine acetylation as a relatively newly discovered modification on plant metabolic enzymes. The acetylation of lysine residues within proteins is a highly conserved and reversible posttranslational modification which occurs in all living organisms. First discovered on histones and implied in the regulation of gene expression, lysine acetylation also occurs on a diverse set of cellular proteins in different subcellular compartments and is particularly abundant on metabolic enzymes. Upon lysine acetylation, the function of proteins can be modulated due to the loss of the positive charge of the lysine residue. Lysine acetylation was also discovered on proteins involved in photosynthesis and novel tools are needed to study the regulation of this modification in dependence on the environmental conditions, tissues, or plant genotype. This chapter describes a method for the identification and relative quantification of lysine-acetylated proteins in plant tissues using a dimethyl labeling technique combined with an anti-acetyl lysine antibody enrichment strategy. Here, we describe the protein purification, labeling of trypsinated peptides, as well as immuno-enrichment of lysine-acetylated peptides followed by liquid chromatography tandem mass spectrometry (LC-MS/MS) data acquisition and analysis.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 29%
Student > Bachelor 3 21%
Researcher 3 21%
Unspecified 1 7%
Student > Doctoral Student 1 7%
Other 0 0%
Unknown 2 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 36%
Biochemistry, Genetics and Molecular Biology 5 36%
Unspecified 1 7%
Unknown 3 21%