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Plant Proteostasis

Overview of attention for book
Cover of 'Plant Proteostasis'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Approaches to Determine Protein Ubiquitination Residue Types
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    Chapter 2 Immunoprecipitation of Cullin-RING Ligases (CRLs) in Arabidopsis thaliana Seedlings
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    Chapter 3 Radioligand Binding Assays for Determining Dissociation Constants of Phytohormone Receptors
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    Chapter 4 Measuring the Enzyme Activity of Arabidopsis Deubiquitylating Enzymes
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    Chapter 5 Fluorescent Reporters for Ubiquitin-Dependent Proteolysis in Plants
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    Chapter 6 Generation of Artificial N-end Rule Substrate Proteins In Vivo and In Vitro
  8. Altmetric Badge
    Chapter 7 Plant Proteostasis
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    Chapter 8 Plant Proteostasis
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    Chapter 9 Kinetic Analysis of Plant SUMO Conjugation Machinery
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    Chapter 10 Expression, Purification, and Enzymatic Analysis of Plant SUMO Proteases
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    Chapter 11 Quantitative Analysis of Subcellular Distribution of the SUMO Conjugation System by Confocal Microscopy Imaging
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    Chapter 12 Plant Proteostasis
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    Chapter 13 Plant Proteostasis
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    Chapter 14 Protocols for Studying Protein Stability in an Arabidopsis Protoplast Transient Expression System
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    Chapter 15 Detection and Quantification of Protein Aggregates in Plants.
  17. Altmetric Badge
    Chapter 16 Determination of Protein Carbonylation and Proteasome Activity in Seeds
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    Chapter 17 Isobaric Tag for Relative and Absolute Quantitation (iTRAQ)-Based Protein Profiling in Plants
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    Chapter 18 Plant Proteostasis
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    Chapter 19 In Vivo Radiolabeling of Arabidopsis Chloroplast Proteins and Separation of Thylakoid Membrane Complexes by Blue Native PAGE
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    Chapter 20 Normalized Quantitative Western Blotting Based on Standardized Fluorescent Labeling
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    Chapter 21 Sequence Search and Comparative Genomic Analysis of SUMO-Activating Enzymes Using CoGe
  23. Altmetric Badge
    Chapter 22 Plant Proteostasis
  24. Altmetric Badge
    Chapter 23 Bioinformatics Tools for Exploring the SUMO Gene Network
Attention for Chapter 6: Generation of Artificial N-end Rule Substrate Proteins In Vivo and In Vitro
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Chapter title
Generation of Artificial N-end Rule Substrate Proteins In Vivo and In Vitro
Chapter number 6
Book title
Plant Proteostasis
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3759-2_6
Pubmed ID
Book ISBNs
978-1-4939-3757-8, 978-1-4939-3759-2
Authors

Christin Naumann, Augustin C. Mot, Nico Dissmeyer

Editors

L. Maria Lois, Rune Matthiesen

Abstract

In order to determine the stability of a protein or protein fragment dependent on its N-terminal amino acid, and therefore relate its half-life to the N-end rule pathway of targeted protein degradation (NERD), non-Methionine (Met) amino acids need to be exposed at their amino terminal in most cases. Per definition, at this position, destabilizing residues are generally unlikely to occur without further posttranslational modification of immature (pre-)proproteins. Moreover, almost exclusively, stabilizing, or not per se destabilizing residues are N-terminally exposed upon Met excision by Met aminopeptidases. To date, there exist two prominent protocols to study the impact of destabilizing residues at the N-terminal of a given protein by selectively exposing the amino acid residue to be tested. Such proteins can be used to study NERD substrate candidates and analyze NERD enzymatic components. Namely, the well-established ubiquitin fusion technique (UFT) is used in vivo or in cell-free transcription/translation systems in vitro to produce a desired N-terminal residue in a protein of interest, whereas the proteolytic cleavage of recombinant fusion proteins by tobacco etch virus (TEV) protease is used in vitro to purify proteins with distinct N-termini. Here, we discuss how to accomplish in vivo and in vitro expression and modification of NERD substrate proteins that may be used as stability tester or activity reporter proteins and to characterize potential NERD substrates.The methods to generate artificial substrates via UFT or TEV cleavage are described here and can be used either in vivo in the context of stably transformed plants and cell culture expressing chimeric constructs or in vitro in cell-free systems such as rabbit reticulocyte lysate as well as after expression and purification of recombinant proteins from various hosts.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 5%
Unknown 21 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 18%
Researcher 3 14%
Other 3 14%
Student > Master 2 9%
Student > Doctoral Student 1 5%
Other 5 23%
Unknown 4 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 27%
Biochemistry, Genetics and Molecular Biology 6 27%
Unspecified 1 5%
Environmental Science 1 5%
Medicine and Dentistry 1 5%
Other 1 5%
Unknown 6 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 July 2016.
All research outputs
#14,268,471
of 22,881,154 outputs
Outputs from Methods in molecular biology
#4,196
of 13,133 outputs
Outputs of similar age
#206,090
of 393,699 outputs
Outputs of similar age from Methods in molecular biology
#417
of 1,471 outputs
Altmetric has tracked 22,881,154 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,133 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 64% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 393,699 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,471 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.