0
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Addressing NHS Chemistry: Efficient Quenching of Excess TMT Reagent and Reversing TMT Overlabeling in Proteomic Samples by Methylamine

      research-article

      Read this article at

      ScienceOpenPublisherPMC
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          N-hydroxysuccinimide (NHS) ester chemistry is used extensively across proteomics sample preparation. One of its increasingly prevalent applications is in isobaric reagent–based quantitation such as isobaric tags for relative and absolute quantitation and tandem mass tag approaches. In these methods, labeling on the primary amines of lysine residues and N termini of tryptic peptides via amide formation ( N-derivatives) from corresponding NHS ester reagents is the intended reactive outcome. However, the role of NHS esters as activated carboxyls can also drive the formation of serine-, tyrosine-, and threonine-derived esters ( O-derivatives). These O-derivative peptides are typically classed as overlabeled and are disregarded for quantitation, leading to loss of information and hence potential sensitivity. Their presence also unnecessarily increases sample complexity, which reduces the overall identification rates. One common approach for removing these unwanted labeling events has involved treatment with hydroxylamine. We show here that this approach is not efficient and can still leave substantial levels of unwanted overlabeled peptides. Through systematic study of nucleophilic aminolysis reagents and reaction conditions, we have now developed a robust method to efficiently remove overlabeled peptides. The new method reduces the proportion of overlabeled peptides in the sample to less than 1% without affecting the labeling rate or introducing other modifications, leading to superior identification rates and quantitation precision.

          Graphical Abstract

          Highlights

          • Methylamine is superior to hydroxylamine for reversal of overlabeling.

          • Robust cleavage of N-hydroxysuccinimide-labeling byproducts for all three main O-acyl esters: serine, threonine, and tyrosine.

          • Methylamine improves signal and identification rates in tandem mass tag–based proteomics and phosphoproteomics experiments.

          • The method can be easily inserted into existing N-hydroxysuccinimide-labeling protocols.

          In Brief

          N-hydroxysuccinimide (NHS) ester chemistry is used extensively across proteomics sample preparation. However, the role of NHS esters as activated carboxyls can also drive the formation of serine-, tyrosine-, and threonine-derived esters ( O-derivatives). Their presence also unnecessarily increases sample complexity, which reduces the overall identification rates. We have now developed a robust method, using methylamine, to efficiently remove overlabeled peptides. Overlabeling is reduced to lower than 1% leading to superior identification rates and quantitation precision.

          Related collections

          Most cited references47

          • Record: found
          • Abstract: found
          • Article: not found

          The MaxQuant computational platform for mass spectrometry-based shotgun proteomics.

          MaxQuant is one of the most frequently used platforms for mass-spectrometry (MS)-based proteomics data analysis. Since its first release in 2008, it has grown substantially in functionality and can be used in conjunction with more MS platforms. Here we present an updated protocol covering the most important basic computational workflows, including those designed for quantitative label-free proteomics, MS1-level labeling and isobaric labeling techniques. This protocol presents a complete description of the parameters used in MaxQuant, as well as of the configuration options of its integrated search engine, Andromeda. This protocol update describes an adaptation of an existing protocol that substantially modifies the technique. Important concepts of shotgun proteomics and their implementation in MaxQuant are briefly reviewed, including different quantification strategies and the control of false-discovery rates (FDRs), as well as the analysis of post-translational modifications (PTMs). The MaxQuant output tables, which contain information about quantification of proteins and PTMs, are explained in detail. Furthermore, we provide a short version of the workflow that is applicable to data sets with simple and standard experimental designs. The MaxQuant algorithms are efficiently parallelized on multiple processors and scale well from desktop computers to servers with many cores. The software is written in C# and is freely available at http://www.maxquant.org.
            • Record: found
            • Abstract: found
            • Article: not found

            Andromeda: a peptide search engine integrated into the MaxQuant environment.

            A key step in mass spectrometry (MS)-based proteomics is the identification of peptides in sequence databases by their fragmentation spectra. Here we describe Andromeda, a novel peptide search engine using a probabilistic scoring model. On proteome data, Andromeda performs as well as Mascot, a widely used commercial search engine, as judged by sensitivity and specificity analysis based on target decoy searches. Furthermore, it can handle data with arbitrarily high fragment mass accuracy, is able to assign and score complex patterns of post-translational modifications, such as highly phosphorylated peptides, and accommodates extremely large databases. The algorithms of Andromeda are provided. Andromeda can function independently or as an integrated search engine of the widely used MaxQuant computational proteomics platform and both are freely available at www.maxquant.org. The combination enables analysis of large data sets in a simple analysis workflow on a desktop computer. For searching individual spectra Andromeda is also accessible via a web server. We demonstrate the flexibility of the system by implementing the capability to identify cofragmented peptides, significantly improving the total number of identified peptides.
              • Record: found
              • Abstract: found
              • Article: not found

              MSFragger: ultrafast and comprehensive peptide identification in shotgun proteomics

              There is a need to better understand and handle the “dark matter” of proteomics – the vast diversity of post-translational and chemical modifications that are unaccounted in a typical analysis and thus remain unidentified. We present a novel fragment-ion indexing method, and its implementation in peptide identification tool MSFragger, that enables an over 100-fold improvement in speed over most existing tools. Using some of the largest proteomic datasets to date, we demonstrate how MSFragger empowers the open database search concept for comprehensive identification of peptides and all their modified forms, uncovering dramatic differences in the modification rates across experimental samples and conditions. We further illustrate its utility using protein-RNA crosslinked peptide data, and using affinity purification experiments where we observe on average a 300% increase in the number of identified spectra for enriched proteins. We also discuss the benefits of open searching for improved false discovery rate estimation in proteomics.

                Author and article information

                Contributors
                Journal
                Mol Cell Proteomics
                Mol Cell Proteomics
                Molecular & Cellular Proteomics : MCP
                American Society for Biochemistry and Molecular Biology
                1535-9476
                1535-9484
                13 March 2025
                April 2025
                13 March 2025
                : 24
                : 4
                : 100948
                Affiliations
                [1 ]The Rosalind Franklin Institute, Harwell, UK
                [2 ]Department of Pharmacology, University of Oxford, Oxford, UK
                [3 ]Chair of Proteomics and Bioanalytics, Technical University of Munich, Freising, Germany
                [4 ]Chemistry Research Laboratory, Department of Chemistry, University of Oxford, Oxford, UK
                [5 ]Department of Biochemistry, University of Oxford, Oxford, UK
                Author notes
                []For correspondence: Shabaz Mohammed shabaz.mohammed@ 123456rfi.ac.uk
                Article
                S1535-9476(25)00046-5 100948
                10.1016/j.mcpro.2025.100948
                12004380
                40089064
                34041642-afac-4e53-b4af-9fce81e384a1
                © 2025 The Authors

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 18 October 2024
                : 10 March 2025
                Categories
                Technological Innovation and Resources

                Molecular biology
                nhs labeling,quantitation,phosphoproteomics,tmt labeling
                Molecular biology
                nhs labeling, quantitation, phosphoproteomics, tmt labeling

                Comments

                Comment on this article

                Related Documents Log