Microbiological contamination of raw materials for large-volume parenterals.

A wide range of raw materials used for the production of large-volume parenterals were tested for their content of bacteria, molds, yeasts, and endotoxins. All raw materials were relatively free of microorganisms, although some mannitol samples contained relatively high amounts of endotoxin. The low endotoxin content of the other raw materials did not require the use of depth filters to remove endotoxins to prepare pyrogen-free infusion fluids.     

Uncovering conserved patterns in bioactive peptides in Metazoa

Bioactive (neuro)peptides play critical roles in regulating most biological processes in animals. Peptides belonging to the same family are characterized by a typical sequence pattern that is conserved among the family's peptide members. Such a conserved pattern or motif usually corresponds to the functionally important part of the biologically active peptide. In this paper, all known bioactive (neuro)peptides annotated in Swiss-Prot and TrEMBL protein databases are collected, and the pattern searching program Pratt is used to search these unaligned peptide sequences for conserved patterns. The obtained patterns are then refined by combining the information on amino acids at important functional sites collected from the literature. All the identified patterns are further tested by scanning them against Swiss-Prot and TrEMBL protein databases. The diagnostic power of each pattern is validated by the fact that any annotated protein from Swiss-Prot and TrEMBL that contains one of the established patterns, is indeed a known (neuro)peptide precursor. We discovered 155 novel peptide patterns in addition to the 56 established ones in the PROSITE database. All the patterns cover 110 peptide families. Fifty-five of these families are not characterized by the PROSITE signatures, and 12 are also not identified by other existing motif databases, such as Pfam and SMART. Using the newly identified peptide signatures as a search tool, we predicted 95 hypothetical proteins as putative peptide precursors.     

Unbiased Selective Isolation of Protein N-terminal Peptides from Complex Proteome Samples Using Phospho Tagging (PTAG) and TiO2-based Depletion

A positional proteomics strategy for global N-proteome analysis is presented based on phospho tagging (PTAG) of internal peptides followed by depletion by titanium dioxide (TiO(2)) affinity chromatography. Therefore, N-terminal and lysine amino groups are initially completely dimethylated with formaldehyde at the protein level, after which the proteins are digested and the newly formed internal peptides modified with the PTAG reagent glyceraldhyde-3-phosphate in nearly perfect yields (> 99%). The resulting phosphopeptides are depleted through binding onto TiO(2), keeping exclusively a set of N-acetylated and/or N-dimethylated terminal peptides for analysis by liquid chromatography-tandem MS. Analysis of peptides derivatized with differentially labeled isotopic analogs of the PTAG reagent revealed a high depletion efficiency (> 95%). The method enabled identification of 753 unique N-terminal peptides (428 proteins) in N. meningitidis and 928 unique N-terminal peptides (572 proteins) in S. cerevisiae. These included verified neo-N termini from subcellular-relocalized membrane and mitochondrial proteins. The presented PTAG approach is therefore a novel, versatile, and robust method for mass spectrometry-based N-proteome analysis and identification of protease-generated cleavage products.