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Gel electrophoresis-based and shotgun approaches are the most employed proteomic platforms in plant biology research, with the latter replacing the former in the last years. We have compared 2-DE-MALDI-TOF/TOF and GeLC-Orbitrap/MS analyses using the same protein extracts from Quercus ilex cotyledons at different development stages. The results obtained (ProteomeXchange available data, PXD020603) showed that both platforms were complementary, showing common and specific proteins identified in each case, but leading to similar biological conclusions. Protein analysis identified 562 spots in gel-based (292 variables) and 2409 proteins in shotgun (560 variables), that were detected with both platforms and represent common key pathways related to maturation and germination. The main differences concern hormone metabolism, storage and late embryogenesis abundant proteins. Deeper proteome coverage was obtained with the shotgun approach, with a greater number of metabolic pathways represented, as gibberellin biosynthesis, not observed in the gel-based analysis. Nevertheless, several storage proteins, highly abundant in cotyledons and well represented in gel-based platform were not identified using the shotgun platform. Bemcentinib ic50 These results support that when analyzing any plant biological process, the use of both platforms is complementary rather than redundant, that favors an in-depth proteomic analysis and a more confident biological interpretation of the data obtained.N-terminomics is a rapidly evolving branch of proteomics that encompasses the study of protein N-terminal sequence. A proteome-wide collection of such sequences has been widely used to understand the proteolytic cascades and in annotating the genome. Over the last two decades, various N-terminomic strategies have been developed for achieving high sensitivity, greater depth of coverage, and high-throughputness. We, in this review, cover how the field of N-terminomics has evolved to date, including discussion on various sample preparation and N-terminal peptide enrichment strategies. We also compare different N-terminomic methods and highlight their relative benefits and shortcomings in their implementation. In addition, an overview of the currently available bioinformatics tools and data analysis pipelines for the annotation of N-terminomic datasets is also included. SIGNIFICANCE It has been recognized that proteins undergo several post-translational modifications (PTM), and a number of perturbed biological pathways are directly associated with modifications at the terminal sites of a protein. In this regard, N-terminomics can be applied to generate a proteome-wide landscape of mature N-terminal sequences, annotate their source of generation, and recognize their significance in the biological pathways. Besides, a system-wide study can be used to study complicated proteolytic machinery and protease cleavage patterns for potential therapeutic targets. Moreover, due to unprecedented improvements in the analytical methods and mass spectrometry instrumentation in recent times, the N-terminomic methodologies now offers an unparalleled ability to study proteoforms and their implications in clinical conditions. Such approaches can further be applied for the detection of low abundant proteoforms, annotation of non-canonical protein coding sites, identification of candidate disease biomarkers, and, last but not least, the discovery of novel drug targets.In this review, we highlight and discuss the effects of interfacial properties on the major mechanisms governing the aging of emulsions flocculation, coalescence and Ostwald ripening. The process of emulsification is also addressed, as it is well recognized that the adsorption properties of emulsifiers play an important role on it. The consolidated background on these phenomena is briefly summarised based on selected literature, reporting relevant findings and results, and discussing some criticalities. The typical experimental approaches adopted to investigate the above effects are also summarised, underlining in particular the role of adsorption at the droplet interface. Attention is paid to different types of surface-active species involved with emulsion production, including solid particles. The latter being of increasing interest in a wide variety of emulsions-related products and technologies in various fields. The possibility to stop the long term aging caused by Ostwald ripening in emulsions is also discussed, quantifying under which conditions it may occur in practice.

We sought to identify risk factors associated with vancomycin-resistant Enterococcus faecium (VRE) and ampicillin-resistant Enterococcus faecalis (ARE) bacteraemia, predictors of 30-day mortality, and 90-day recurrence-free survival according to resistance.

We evaluated clinical records of patients with E. faecalis and E. faecium bacteraemia (2007-2017). We performed bivariate and multivariate logistic regression analyses to identify factors associated with VRE and ARE bacteraemia and predictors of 30-day mortality. A Kaplan-Meier estimate of 90-day recurrence-free survival was done.

We identified 192 and 147 E. faecium and E. faecalis bacteraemia episodes, respectively, of which 55.7% of E. faecium were VRE (94% vanA) and 12.2% of E. faecalis were ARE. Factors related to VRE bacteraemia were previous hospitalisation (aOR, 80.18, 95% CI 1.81-634), history of central venous catheter (aOR, 11.15, 95% CI 2.48-50.2) and endotracheal cannula use (aOR, 17.91, 95% CI 1.22-262.82). There was higher attributable mortality to VRE (28%, 95% CI 14-68%; P < 0.001) and ARE (10%, 95% CI 0.1-36%; P = 0.58) compared with their susceptible counterparts. APACHE II (aOR, 1.45, 95% CI 1.26-1.66) and history of chemotherapy (aOR, 3.52, 95% CI 1.09-11.39) were predictors of E. faecium bacteraemia 30-day mortality. We could not recognise any factor related to ARE bacteraemia or E. faecalis 30-day mortality.

History of hospitalisation and invasive device use were related to VRE bacteraemia. APACHE II and history of chemotherapy were predictors of mortality. We could not identify factors related to ARE or predictors of mortality.

History of hospitalisation and invasive device use were related to VRE bacteraemia. APACHE II and history of chemotherapy were predictors of mortality. We could not identify factors related to ARE or predictors of mortality.