2026· Methods in molecular biology· Vol 3018, pp.
169-181
· 0 citations
Medicine
TL;DR
How to build DDA PTM spectral libraries using various software tools, specifically Spectronaut, SpectroMine, and MSFragger are described, which were imported into Skyline for the analysis of previously published DIA succinylome data of Sirtuin-5 knocked-out vs wild-type mouse brains.
Improvements enabling quantification of site-specific modifications, including post-translational modifications and covalent compound-protein interactions spanning diverse pathways are described.
Steven R. Shuken, Geordon A. Frere, Charlotte R. Beard et al.· Nature Communications· 0 citations
Mass spectrometry-based chemical proteomics is a powerful method to analyze proteins labelled by small molecules to identify protein targets of active compounds and to profile protein post-translational modifications. The throughput and high protein input for chemical proteomics workflows has been often a limiting fact...
Liu Zang, Jonas Grandke, Jana Richter et al.· bioRxiv· 0 citations
This review summarizes the evolution, principles, workflows, strengths, limitations, and representative applications of MS, SomaScan, Olink PEA, and Nautilus Voyager, and discusses their integration in biomarker discovery, population proteomics, and precision medicine.
Dimitra Papatziamou, A. Singh, Mehul V. Makwan et al.· Biochimica et Biophysica Act...· 0 citations
Chemoproteomics aims to achieve precise and comprehensive quantification of protein-small molecule interactions, yet methodological comparisons across quantitative proteomics workflows remain scarce. Here, we systematically benchmark tandem mass tag data-dependent acquisition (TMT-DDA) on Orbitrap Exploris/Eclipse inst...
Ursula M. Glocker, Michael Steidel, Henrik M. Hammarén et al.· Proteomics· 0 citations
A multi-omics platform for the simultaneous detection of metabolites, lipids, proteins, and native peptides, all detected in a high-throughput manner from a single tube is developed and the use of a machine learning framework for unsupervised integration of this type of high-throughput data is demonstrated.
M. Itkin, B. Dassa, Y. Levin et al.· Analytical Chemistry· 0 citations
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