↓ Skip to main content

Protein Terminal Profiling

Overview of attention for book
Cover of 'Protein Terminal Profiling'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 [14C]-Acetyl-Coenzyme A-Based In Vitro N-Terminal Acetylation Assay
  3. Altmetric Badge
    Chapter 2 DTNB-Based Quantification of In Vitro Enzymatic N-Terminal Acetyltransferase Activity
  4. Altmetric Badge
    Chapter 3 SILProNAQ: A Convenient Approach for Proteome-Wide Analysis of Protein N-Termini and N-Terminal Acetylation Quantitation
  5. Altmetric Badge
    Chapter 4 Profiling of Protein N-Termini and Their Modifications in Complex Samples
  6. Altmetric Badge
    Chapter 5 Protease Substrate Profiling by N-Terminal COFRADIC
  7. Altmetric Badge
    Chapter 6 Doublet N-Terminal Oriented Proteomics for N-Terminomics and Proteolytic Processing Identification
  8. Altmetric Badge
    Chapter 7 Multidimensional Analysis of Protease Substrates and Their Cellular Origins in Mixed Secretomes from Multiple Cell Types
  9. Altmetric Badge
    Chapter 8 System-Wide Profiling of Protein Amino Termini from Formalin-Fixed, Paraffin-Embedded Tissue Specimens for the Identification of Novel Substrates
  10. Altmetric Badge
    Chapter 9 Identification of Carboxypeptidase Substrates by C-Terminal COFRADIC
  11. Altmetric Badge
    Chapter 10 ProC-TEL: Profiling of Protein C-Termini by Enzymatic Labeling
  12. Altmetric Badge
    Chapter 11 Determining Protease Substrates Within a Complex Protein Background Using the PROtein TOpography and Migration Analysis Platform (PROTOMAP)
  13. Altmetric Badge
    Chapter 12 Multiplexed Protease Specificity Profiling Using Isobaric Labeling
  14. Altmetric Badge
    Chapter 13 FPPS: Fast Profiling of Protease Specificity
  15. Altmetric Badge
    Chapter 14 Profiling of Protease Cleavage Sites by Proteome-Derived Peptide Libraries and Quantitative Proteomics
  16. Altmetric Badge
    Chapter 15 Prediction of Proteases Involved in Peptide Generation
  17. Altmetric Badge
    Chapter 16 Live-Cell Imaging of Protease Activity: Assays to Screen Therapeutic Approaches
  18. Altmetric Badge
    Chapter 17 Protein Translocation Assays to Probe Protease Function and Screen for Inhibitors
  19. Altmetric Badge
    Chapter 18 Simultaneous Detection of Metalloprotease Activities in Complex Biological Samples Using the PrAMA (Proteolytic Activity Matrix Assay) Method
  20. Altmetric Badge
    Chapter 19 Synthesis and Application of Activity-Based Probes for Proteases
Attention for Chapter 6: Doublet N-Terminal Oriented Proteomics for N-Terminomics and Proteolytic Processing Identification
Altmetric Badge

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
23 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
Doublet N-Terminal Oriented Proteomics for N-Terminomics and Proteolytic Processing Identification
Chapter number 6
Book title
Protein Terminal Profiling
Published in
Methods in molecular biology, March 2017
DOI 10.1007/978-1-4939-6850-3_6
Pubmed ID
Book ISBNs
978-1-4939-6849-7, 978-1-4939-6850-3
Authors

Benoit Westermann, Alvaro Sebastian Vaca Jacome, Magali Rompais, Christine Carapito, Christine Schaeffer-Reiss

Editors

Oliver Schilling

Abstract

The study of the N-terminome and the precise identification of proteolytic processing events are key in biology. Dedicated methodologies have been developed as the comprehensive characterization of the N-terminome can hardly be achieved by standard proteomics methods. In this context, we have set up a trimethoxyphenyl phosphonium (TMPP) labeling approach that allows the characterization of both N-terminal and internal digestion peptides in a single experiment. This latter point is a major advantage of our strategy as most N-terminomics methods rely on the enrichment of N-terminal peptides and thus exclude internal peptides.We have implemented a double heavy/light TMPP labeling and an automated data validation workflow that make our doublet N-terminal oriented proteomics (dN-TOP) strategy efficient for high-throughput N-terminome analysis.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Other 6 26%
Professor > Associate Professor 2 9%
Student > Master 2 9%
Unspecified 1 4%
Professor 1 4%
Other 2 9%
Unknown 9 39%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 22%
Mathematics 2 9%
Agricultural and Biological Sciences 2 9%
Unspecified 1 4%
Computer Science 1 4%
Other 2 9%
Unknown 10 43%