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Triple negative breast cancer accounts for 15%-20% of all breast carcinomas and is clinically characterized by an aggressive phenotype and poor prognosis. Triple negative tumors do not benefit from targeted therapies, so further characterization is needed to define subgroups with potential therapeutic value. In this work, the proteomes of 125 formalin-fixed paraffin-embedded samples from patients diagnosed with non-metastatic triple negative breast cancer were analyzed using data-independent acquisition + in a LTQ-Orbitrap Fusion Lumos mass spectrometer coupled to an EASY-nLC 1000. 1206 proteins were identified in at least 66% of the samples. Hierarchical clustering, probabilistic graphical models and Significance Analysis of Microarrays were combined to characterize proteomics-based molecular groups. Two molecular groups were defined with differences in biological processes such as glycolysis, translation and immune response. These two molecular groups showed also several differentially expressed proteins. This clinically homogenous dataset may serve to design new therapeutic strategies in the future., (© 2021 Wiley-VCH GmbH.)

Targeted proteomics has gained significant popularity in mass spectrometry-based protein quantification as a method to detect proteins of interest with high sensitivity, quantitative accuracy and reproducibility. However, with the emergence of a wide variety of targeted proteomics methods, some of them with high-throughput capabilities, it is easy to overlook the essence of each method and to determine what makes each of them a targeted proteomics method. In this viewpoint, we revisit the main targeted proteomics methods and classify them in four categories differentiating those methods that perform targeted data acquisition from targeted data analysis, and those methods that are based on peptide ion data (MS1 targeted methods) from those that rely on the peptide fragments (MS2 targeted methods)., (© 2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.)

One of the major additions in MS technology has been the irruption of the Orbitrap mass analyzer, which has boosted the proteomics analyses of biological complex samples since its introduction. Here, we took advantage of the capabilities of the new Orbitrap Fusion Lumos Tribrid mass spectrometer to assess the performance of different data-dependent acquisition methods for the identification and quantitation of peptides and phosphopeptides in single-shot analysis of human whole cell lysates. Our study explored the capabilities of tri-hibrid mass spectrometers for (phospho-) peptide identification and quantitation using different gradient lengths, sample amounts, and combinations of different peptide fragmentation types and mass analyzers. Moreover, the acquisition of the same complex sample with different acquisition methods resulted in the generation of a dataset to be used as a reference for further analyses, and a starting point for future optimizations in particular applications., (© 2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.)

Botrytis cinerea is a model fungus for the study of phytopathogenicity that exhibits a wide arsenal of tools to infect plant tissues. Most of these factors are related to signal transduction cascades, in which membrane proteins play a key role as a bridge between environment and intracellular molecular processes. This work describes the first description of the membranome of Botrytis under different pathogenicity conditions induced by different plant-based elicitors: glucose and tomato cell wall (TCW). A discovery proteomics analysis of membrane proteins was carried out by mass spectrometry. A total of 2794 proteins were successfully identified, 46% of them were classified as membrane proteins based on the presence of transmembrane regions and lipidation. Further analyses showed significant differences in the membranome composition depending on the available carbon source: 804 proteins were exclusively identified when the fungus was cultured with glucose as a sole carbon source, and 251 proteins were exclusively identified with TCW. Besides, among the 1737 common proteins, a subset of 898 proteins presented clear differences in their abundance. GO enrichment and clustering interaction analysis revealed changes in the composition of membranome with increase of signalling function in glucose conditions and carbohydrate degradation process in TCW conditions. All MS data have been deposited in the ProteomeXchange with identifier PXD003099 (http://proteomecentral.proteomexchange.org/dataset/PXD003099)., (© 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.)

Selected or multiple reaction monitoring is a targeted mass spectrometry method (S/MRM-MS), in which many peptides are simultaneously and consistently analyzed during a single liquid chromatography-mass spectrometry (LC-S/MRM-MS) measurement. These capabilities make S/MRM-MS an attractive method to monitor a consistent set of proteins over various experimental conditions. To increase throughput for S/MRM-MS it is advantageous to use scheduled methods and unfractionated protein extracts. Here, we established the practically measurable dynamic range of proteins reliably detectable and quantifiable in an unfractionated protein extract from a human cell line using LC-S/MRM-MS. Initially, we analyzed S/MRM transition peak groups in terms of interfering signals and compared S/MRM transition peak groups to MS1-triggered MS2 spectra using dot-product analysis. Finally, using unfractionated protein extract from human cell lysate, we quantified the upper boundary of copies per cell to be 35 million copies per cell, while 7500 copies per cell represents a lower boundary using a single 35 min linear gradient LC-S/MRM-MS measurement on a current, standard commercial instrument., (© 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.)