Pectinases Secretion by Saccharomyces cerevisiae: Optimization in Solid-State Fermentation and Identification by a Shotgun Proteomics Approach.

A sequential design strategy was applied to optimize the secretion of pectinases by a Saccharomyces cerevisiae strain, from Brazilian sugarcane liquor vat, on passion fruit residue flour (PFRF), through solid-state fermentation (SSF). A factorial design was performed to determine the influence variables and two rotational central composite designs were executed. The validated experimental result was of 7.1 U mL-1 using 50% PFRF (w/w), pH 5, 30 °C for 24 h, under static SSF. Polygalacturonase, pectin methyl esterase, pectin-lyase and pectate-lyase activities were 3.5; 0.08; 3.1 and 0.8 U mL-1, respectively. Shotgun proteomics analysis of the crude extract enabled the identification of two pectin-lyases, one pectate-lyase and a glucosidase. The crude enzymatic extract maintained at least 80% of its original activity at pH values and temperatures ranging from 2 to 8 and 30 to 80 °C, respectively, over 60 min incubation. Results revealed that PFRF might be a cost-effective and eco-friendly substrate to produce pectinases. Statistical optimization led to fermentation conditions wherein pectin active proteins predominated. To the extent of our knowledge, this is the first study reporting the synthesis of pectate lyase by S. cerevisiae.

Current advances and applications of online sample preparation techniques for miniaturized liquid chromatography systems.

Miniaturized liquid chromatography (LC) has been recognized as one of the most important analytical methods in several research fields. Reduced analytical work-scale provides superior chromatographic resolution and decreases sample and organic solvent consumption. However, frequent clogging of tubing connections and use of small sample volumes are significant limitations when high throughput and sensitive analyses are required. Effective sample preparation could help to overcome these limitations. Online coupling of sample preparation techniques (such as column switching and in-tube solid-phase microextraction) with these miniaturized systems may result in more sensitive and reproducible analyses, improving analytical efficiency. This review describes the most common online miniaturized LC configurations, and the main applications of current online sample preparation techniques coupled to miniaturized LC systems in the bioanalytical, omics, and environmental areas. Relevant features, and challenges of these systems, and innovative sorbents, including restricted access materials, monoliths, and immunosorbents is also discussed.

Identification of Antibacterial Peptide Candidates Encrypted in Stress-Related and Metabolic Saccharomyces cerevisiae Proteins.

The protein-rich nature of Saccharomyces cerevisiae has led this yeast to the spotlight concerning the search for antimicrobial peptides. Herein, a <10 kDa peptide-rich extract displaying antibacterial activity was obtained through the autolysis of yeast biomass under mild thermal treatment with self-proteolysis by endogenous peptidases. Estimated IC50 for the peptide pools obtained by FPLC gel filtration indicated improved antibacterial activities against foodborne bacteria and bacteria of clinical interest. Similarly, the estimated cytotoxicity concentrations against healthy human fibroblasts, alongside selective indices ≥10, indicates the fractions are safe, at least in a mixture format, for human tissues. Nano-LC-MS/MS analysis revealed that the peptides in FPLC fractions could be derived from both induced-proteolysis and proteasome activity in abundant proteins, up-regulated under stress conditions during S. cerevisiae biomass manufacturing, including those coded by TDH1/2/3, HSP12, SSA1/2, ADH1/2, CDC19, PGK1, PPI1, PDC1, and GMP1, as well as by other non-abundant proteins. Fifty-eight AMP candidate sequences were predicted following an in silico analysis using four independent algorithms, indicating their possible contribution to the bacterial inactivation observed in the peptides pool, which deserve special attention for further validation of individual functionality. S. cerevisiae-biomass peptides, an unconventional but abundant source of pharmaceuticals, may be promissory adjuvants to treat infectious diseases that are poorly sensitive to conventional antibiotics.

Roughness and wettability of titanium implant surfaces modify the salivary pellicle composition.

This study reports the differences in the protein composition of salivary pellicles formed under in situ conditions on two Titanium (Ti) surfaces, with different roughness and wettability. Smooth pretreatment Ti surfaces (Ti-PT) with an average roughness (Ra) of 0.45 µm and a water contact angle (WCA) of 92.4°, as well as a more rough sandblasted, large grit, acid-etched treatment Ti surfaces (Ti-SLA) with a Ra of 3.3 µm and WCA of 131.8°, were tested. The salivary pellicles were quantitatively analyzed by bicinchoninic acid assays, and the protein identification was performed by Nano-LC-MS/MS (nano mass spectrometry). Protein levels of 2.5, and 9.1 µg/ml were quantified from the detached salivary pellicle formed on the Ti-PT and Ti-SLA surfaces, respectively. Using Nano-LC-MS/MS, a total of 597 proteins were identified on all the substrates tested; 43 proteins were identified only on the Ti-PT, and 226 proteins were adsorbed solely on the Ti-SLA substrates. The physicochemical characteristics of the Ti implant surfaces modified the amount and the identity of the salivary proteome of the pellicles formed, confirming the high selectivity of the protein pellicle formed on a surface once is exposed in the oral cavity.

Proteomic characterization of seeds from yellow lupin (Lupinus luteus L.).

Yellow lupin (Lupinus luteus L.) is a legume crop containing a large amount of protein in its seeds. In this study, we constructed a seed-protein catalog to provide a foundation for further study of the seeds. A total of 736 proteins were identified in 341 2DE spots by nano-LC-MS/MS. Eight storage proteins were found as multiple spots in the 2DE gels. The 736 proteins correspond to 152 unique proteins as shown by UniRef50 clustering. Sixty-seven of the 152 proteins were associated with KEGG-defined pathways. Of the remaining proteins, 57 were classified according to a GO term. The functions of the remaining 28 proteins have yet to be determined. This is the first yellow lupin seed-protein catalog, and it contains considerably more data than previously reported for white lupin (L. albus L.).