Combining label-free and label-based accurate quantifications with SWATH-MS: Comparison with SRM and PRM for the evaluation of bovine muscle type effects.

Mass spectrometry has proven to be a valuable tool for the accurate quantification of proteins. In this study, the performances of three targeted approaches, namely selected reaction monitoring (SRM), parallel reaction monitoring (PRM) and sequential windowed acquisition of all theoretical fragment ion mass spectra (SWATH-MS), to accurately quantify ten potential biomarkers of beef meat tenderness or marbling in a cohort of 64 muscle samples were evaluated. So as to get the most benefit out of the complete MS2 maps that are acquired in SWATH-MS, an original label-free quantification method to estimate protein amounts using an I-spline regression model was developed. Overall, SWATH-MS outperformed SRM in terms of sensitivity and dynamic range, while PRM still performed the best, and all three strategies showed similar quantification accuracies and precisions for the absolute quantification of targets of interest. This targeted picture was extended by 585 additional proteins for which amounts were estimated using the label-free approach on SWATH-MS; thus, offering a more global profiling of muscle proteomes and further insights into muscle type effect on candidate biomarkers of beef meat qualities as well as muscle metabolism.

N-terminome and proteogenomic analysis of the Methylobacterium extorquens DM4 reference strain for dichloromethane utilization.

Methylobacterium strains can use one-carbon compounds, such as methanol, for methylotrophic growth. In addition to methanol, a few strains also utilize dichloromethane, a major industrial chlorinated solvent pollutant. With a fully assembled and annotated genome, M. extorquens DM4 is the reference bacterium for aerobic dichloromethane degradation. The doublet N-terminal oriented proteomics (dN-TOP) strategy was applied to further improve its genome annotation and a differential proteomics approach was performed to compare M. extorquens DM4 grown either with methanol or dichloromethane as the sole source of carbon and energy. These approaches led to experimental confirmation of 259 hypothetical proteins, correction of 78 erroneous predicted start codons, discovery of 39 new proteins and annotation of 66 signal peptides, including essential enzymes involved in methylotrophic growth. SIGNIFICANCE: Dichloromethane (methylene chloride, CH2Cl2, DCM) is one of the most widely used industrial halogenated solvents and a potential carcinogen. Microbial rehabilitation of worldwide-contaminated sites involves DCM breakdown by bacteria that are able to grow using this pollutant as their sole carbon and energy source. The most-studied methylotrophic DCM degrader is Methylobacterium extorquens strain DM4. Proteomic studies of the Methylobacterium genus have been performed previously, but genome-wide investigation of N-termini of expressed proteins has not yet been performed. Differential quantitative proteomic analysis also opens new research perspectives to better monitor and understand bacterial growth with DCM.

Dual Data-Independent Acquisition Approach Combining Global HCP Profiling and Absolute Quantification of Key Impurities during Bioprocess Development.

Host cell proteins (HCP) are a major class of impurities derived from recombinant protein production processes. While HCP are usually monitored by ELISA, mass spectrometry (MS)-based approaches are emerging as promising orthogonal methods. Here, we developed an original method relying on data-independent acquisition (DIA) coupling global HCP amount estimation (Top 3) and absolute quantification with isotope dilution (ID). The method named Top 3-ID-DIA was benchmarked against ELISA and a gold-standard selected reaction monitoring assay (ID-SRM). Various samples generated at different steps and conditions of the purification process, including different culture durations, harvest procedures, and purification protocols were used to compare the methods. Overall, HCP were quantified over 5 orders of magnitude and down to the sub-ppm level. The Top 3-ID-DIA strategy proved to be equivalent to the gold-standard ID-SRM in terms of sensitivity (1-10 ppm), accuracy, and precision. Moreover, 81% of the Top 3 estimations were accurate within a factor of 2 when compared to ID-SRM. Thus, our approach aggregates global HCP profiling for comprehensive process understanding with absolute quantification of key HCP within a single analysis and provides an improved support for bioprocess development and product purity assessment.

Optimization of troglitazone derivatives as potent anti-proliferative agents: towards more active and less toxic compounds.

Δ2-Troglitazone derivatives were shown to exhibit anti-proliferative activity in a PPARγ-independent manner. We prepared various compounds in order to increase their potency and decrease their toxicity towards non-malignant primary cultured hepatocytes. Many compounds induced viabilities less than 20% at 10 µM on various cancer cell lines. Furthermore, five of them showed hepatocyte viability of 80% or more at 200 µM. In addition, compounds 17 and 18 exhibited promising maximum tolerated doses on a murine model, enabling future investigations.