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Doublet N-Terminal Oriented Proteomics for N-Terminomics and Proteolytic Processing Identification

Title: Doublet N-Terminal Oriented Proteomics for N-Terminomics and Proteolytic Processing Identification
Authors: Westermann, Benoît; Vaca Jacome, Alvaro Sebastian; Rompais, Magali; Carapito, Christine; Schaeffer, Christine
Contributors: Institut Pluridisciplinaire Hubert Curien (IPHC); Université Louis Pasteur - Strasbourg I-Centre National de la Recherche Scientifique (CNRS); Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)
Source: Protein Terminal Profiling. Methods and Protocols ; https://hal.science/hal-04514023 ; Protein Terminal Profiling. Methods and Protocols, 1574, , pp.77-90, 2017, Methods in Molecular Biology, 978-1-4939-6850-3. ⟨10.1007/978-1-4939-6850-3_6⟩ ; https://www.ncbi.nlm.nih.gov/pubmed/28315244
Publisher Information: CCSD
Publication Year: 2017
Collection: HAL-IN2P3 (Institut national de physique nucléaire et de physique des particules)
Subject Terms: [SDV.BBM]Life Sciences [q-bio]/Biochemistry; Molecular Biology
Description: 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.
Document Type: book part
Language: English
DOI: 10.1007/978-1-4939-6850-3_6
Availability: https://hal.science/hal-04514023; https://doi.org/10.1007/978-1-4939-6850-3_6
Accession Number: edsbas.C0057DCC
Database: BASE