↓ Skip to main content

The Ubiquitin Proteasome System

Overview of attention for book
Cover of 'The Ubiquitin Proteasome System'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Characterization of RING-Between-RING E3 Ubiquitin Transfer Mechanisms
  3. Altmetric Badge
    Chapter 2 Single-Turnover RING/U-Box E3-Mediated Lysine Discharge Assays
  4. Altmetric Badge
    Chapter 3 Methods for NAD-Dependent Ubiquitination Catalyzed by Legionella pneumophila Effector Proteins
  5. Altmetric Badge
    Chapter 4 Using In Vitro Ubiquitylation Assays to Estimate the Affinities of Ubiquitin-Conjugating Enzymes for Their Ubiquitin Ligase Partners
  6. Altmetric Badge
    Chapter 5 Competition Assay for Measuring Deubiquitinating Enzyme Substrate Affinity
  7. Altmetric Badge
    Chapter 6 Enzymatic Assembly of Ubiquitin Chains
  8. Altmetric Badge
    Chapter 7 Ubiquitin-Activated Interaction Traps (UBAITs): Tools for Capturing Protein-Protein Interactions
  9. Altmetric Badge
    Chapter 8 Generating Intracellular Modulators of E3 Ligases and Deubiquitinases from Phage-Displayed Ubiquitin Variant Libraries
  10. Altmetric Badge
    Chapter 9 Integrated Proteogenomic Approach for Identifying Degradation Motifs in Eukaryotic Cells
  11. Altmetric Badge
    Chapter 10 A Method to Monitor Protein Turnover by Flow Cytometry and to Screen for Factors that Control Degradation by Fluorescence-Activated Cell Sorting
  12. Altmetric Badge
    Chapter 11 E. coli-Based Selection and Expression Systems for Discovery, Characterization, and Purification of Ubiquitylated Proteins
  13. Altmetric Badge
    Chapter 12 Strategies to Trap Enzyme-Substrate Complexes that Mimic Michaelis Intermediates During E3-Mediated Ubiquitin-Like Protein Ligation
  14. Altmetric Badge
    Chapter 13 Small-Angle X-Ray Scattering for the Study of Proteins in the Ubiquitin Pathway
  15. Altmetric Badge
    Chapter 14 Methods for Preparing Cryo-EM Grids of Large Macromolecular Complexes
  16. Altmetric Badge
    Chapter 15 Recombinant Expression, Unnatural Amino Acid Incorporation, and Site-Specific Labeling of 26S Proteasomal Subcomplexes
  17. Altmetric Badge
    Chapter 16 Native Gel Approaches in Studying Proteasome Assembly and Chaperones
  18. Altmetric Badge
    Chapter 17 Measuring the Overall Rate of Protein Breakdown in Cells and the Contributions of the Ubiquitin-Proteasome and Autophagy-Lysosomal Pathways
  19. Altmetric Badge
    Chapter 18 Methods to Rapidly Prepare Mammalian 26S Proteasomes for Biochemical Analysis
  20. Altmetric Badge
    Chapter 19 Measurement of the Multiple Activities of 26S Proteasomes
  21. Altmetric Badge
    Chapter 20 Exploring the Regulation of Proteasome Function by Subunit Phosphorylation
  22. Altmetric Badge
    Chapter 21 Scalable In Vitro Proteasome Activity Assay
  23. Altmetric Badge
    Chapter 22 Exploring the Rampant Expansion of Ubiquitin Proteomics
  24. Altmetric Badge
    Chapter 23 Ubiquitin diGLY Proteomics as an Approach to Identify and Quantify the Ubiquitin-Modified Proteome
  25. Altmetric Badge
    Chapter 24 Interpreting the Language of Polyubiquitin with Linkage-Specific Antibodies and Mass Spectrometry
  26. Altmetric Badge
    Chapter 25 Dissecting Dynamic and Heterogeneous Proteasome Complexes Using In Vivo Cross-Linking-Assisted Affinity Purification and Mass Spectrometry
Attention for Chapter 9: Integrated Proteogenomic Approach for Identifying Degradation Motifs in Eukaryotic Cells
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
4 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Integrated Proteogenomic Approach for Identifying Degradation Motifs in Eukaryotic Cells
Chapter number 9
Book title
The Ubiquitin Proteasome System
Published in
Methods in molecular biology, September 2018
DOI 10.1007/978-1-4939-8706-1_9
Pubmed ID
Book ISBNs
978-1-4939-8705-4, 978-1-4939-8706-1
Authors

Yifat Geffen, Alon Appleboim, Richard G. Gardner, Tommer Ravid, Geffen, Yifat, Appleboim, Alon, Gardner, Richard G., Ravid, Tommer

Abstract

Since its discovery nearly 40 years ago, many components of the ubiquitin-proteasome system (UPS) have been identified and characterized in detail. However, a key aspect of the UPS that remains largely obscure is the signals that initiate the interaction of a substrate with enzymes of the UPS machinery. Understanding these signals is of particular interest for studies that examine the mechanism of substrate recognition for proteins that have adopted a non-native structure, as part of the cellular protein quality control (PQC) defense mechanism. Such studies are quite salient as the entire proteome makes up the potential battery of PQC substrates, and yet only a limited number of ubiquitination pathways are known to handle misfolded proteins. Our current research aims at understanding how a small number of PQC ubiquitin-protein ligases specifically recognize and ubiquitinate the overwhelming assortment of misfolded proteins. Here, we present a new proteogenomic approach for identifying and characterizing recognition motifs within degradation elements (degrons) in a high-throughput manner. The method utilizes yeast growth under restrictive conditions for selecting protein fragments that confer instability. The corresponding cDNA fragments are analyzed by next-generation sequencing (NGS) that provides information about each fragment's identity, reading frame, and abundance over time. This method was used by us to identify PQC-specific and compartment-specific degrons. It can readily be modified to study protein degradation signals and pathways in other organisms and in various settings, such as different strain backgrounds and under various cell conditions, all of which can be sequenced and analyzed simultaneously.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 2 50%
Student > Ph. D. Student 1 25%
Student > Master 1 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 75%
Chemistry 1 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 23 September 2018.
All research outputs
#15,409,382
of 22,919,505 outputs
Outputs from Methods in molecular biology
#5,360
of 13,132 outputs
Outputs of similar age
#213,788
of 340,023 outputs
Outputs of similar age from Methods in molecular biology
#90
of 235 outputs
Altmetric has tracked 22,919,505 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,132 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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 340,023 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 235 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.