Implementation of an algorithm for modeling disulfide bond patterns using mass spectrometry

The paper describes the implementation of a software system based on the Feny? disulfide bond assignment algorithm. The system allows an investigator to enter data derived from mass spectrum peak assignments, a target protein sequence and other experimental conditions. The output of the system is the set of disulfide bonding pattern models that are consistent with the experimental evidence. The software and code are available through a public web site, which also has a functioning, publicly accessible version of the disulfide bond modeler. This implementation was tested as part of a project to check homology-based assignments disulfide bonding patterns of human integrins.     

MALDI QqTOF MS combined with off-line HPLC for characterization of protein primary structure and post-translational modifications.

The addition of off-line high-performance liquid chromatography to matrix-assisted laser desorption/ionization mass spectrometry greatly reduces congestion in the mass spectra, and also provides complete decoupling of the separation process from mass detection and measurement. This removes the time constraints inherent in on-line coupling, and so enables the detailed mass-spectrometric study of samples at later times. We describe here our use of this method to successfully characterize two "unknown" protein mixtures that were set as problems by the ABRF Proteomics Research Group (PRG) in the years 2003 and 2004.     

Insights into electron flux through manipulation of fermentation conditions and assessment of protein expression profiles in Clostridium thermocellum

While annotation of the genome sequence of Clostridium thermocellum has allowed predictions of pathways catabolizing cellobiose to end products, ambiguities have persisted with respect to the role of various proteins involved in electron transfer reactions. A combination of growth studies modulating carbon and electron flow and multiple reaction monitoring (MRM) mass spectrometry measurements of proteins involved in central metabolism and electron transfer was used to determine the key enzymes involved in channeling electrons toward fermentation end products. Specifically, peptides belonging to subunits of ferredoxin-dependent hydrogenase and NADH:ferredoxin oxidoreductase (NFOR) were low or below MRM detection limits when compared to most central metabolic proteins measured. The significant increase in H₂ versus ethanol synthesis in response to either co-metabolism of pyruvate and cellobiose or hypophosphite mediated pyruvate:formate lyase inhibition, in conjunction with low levels of ferredoxin-dependent hydrogenase and NFOR, suggest that highly expressed putative bifurcating hydrogenases play a substantial role in reoxidizing both reduced ferredoxin and NADH simultaneously. However, product balances also suggest that some of the additional reduced ferredoxin generated through increased flux through pyruvate:ferredoxin oxidoreductase must be ultimately converted into NAD(P)H either directly via NADH-dependent reduced ferredoxin:NADP⁺ oxidoreductase (NfnAB) or indirectly via NADPH-dependent hydrogenase. While inhibition of hydrogenases with carbon monoxide decreased H₂ production 6-fold and redirected flux from pyruvate:ferredoxin oxidoreductase to pyruvate:formate lyase, the decrease in CO₂ was only 20 % of that of the decrease in H₂, further suggesting that an alternative redox system coupling ferredoxin and NAD(P)H is active in C. thermocellum in lieu of poorly expressed ferredoxin-dependent hydrogenase and NFOR.     

A metabolic and genomic assessment of sugar fermentation profiles of the thermophilic Thermotogales,Fervidobacterium pennivorans

A metabolic, genomic and proteomic assessment of Fervidobacterium pennivorans strains was undertaken to clarify the metabolic and genetic capabilities of this Thermotogales species. The type strain Ven5 originally isolated from a hot mud spa in Italy, and a newly isolated strain (DYC) from a hot spring at Ngatamariki, New Zealand, were compared for metabolic and genomic differences. The fermentation profiles of both strains on cellobiose generated similar major end products (acetate, alanine, glutamate, H₂, and CO₂). The vast majority of end products produced were redox neutral, and carbon balances were in the range of 95–115%. Each strain showed distinct fermentation profiles on sugar substrates. The genome of strain DYC was sequenced and shown to have high sequence similarity and synteny with F. pennivorans Ven5 genome, suggesting they are the same species. The unique genome regions in Ven5, corresponded to genes involved in the Entner–Doudoroff pathway confirming our observation of DYC’s inability to utilize gluconate. Genome analysis was able to elucidate pathways involved in production of the observed end-products with the exception of alanine and glutamate synthesis which were resolved with less clarity due to poor sequence identity and missing critical enzymes within the pathway, respectively.

     

Generation of accurate peptide retention data for targeted and data independent quantitative LC‐MS analysis: Chromatographic lessons in proteomics

The emergence of data‐independent quantitative LC‐MS/MS analysis protocols further highlights the importance of high‐quality reproducible chromatographic procedures. Knowing, controlling and being able to predict the effect of multiple factors that alter peptide RP‐HPLC separation selectivity is critical for successful data collection for the construction of ion libraries. Proteomic researchers have often regarded RP‐HPLC as a “black box”, while vast amount of research on peptide separation is readily available. In addition to obvious parameters, such as the type of ion‐pairing modifier, stationary phase and column temperature, we describe the “mysterious” effects of gradient slope, column size and flow rate on peptide separation selectivity. Retention time variations due to these parameters are governed by the linear solvent strength (LSS) theory on a peptide level by the value of its slope S in the basic LSS equation—a parameter that can be accurately predicted. Thus, the application of shallower gradients, higher flow rates, or smaller columns will each increases the relative retention of peptides with higher S‐values (long species with multiple positively charged groups). Simultaneous changes to these parameters that each drive shifts in separation selectivity in the same direction should be avoided. The unification of terminology represents another pressing issue in this field of applied proteomics that should be addressed to facilitate further progress.     

Description of a cryptic thermophilic (pro)phage,CBP1 from Caldibacillus debilis strain GB1

Extremophiles - This study characterizes a cryptic (pro)phage-related sequence within the Caldibacillus debilis GB1 genome, designated CBP1.CBP1 is a Siphoviridae-like genome highly related to...