24-hour lock mass protection.

The positive role and application of highly accurate mass measurements in proteomics is well documented. The new generation of hybrid FTMS and Q-TOF instruments, including the LTQ-Orbitrap (OT), is remarkable in their ability to routinely produce single-digit to subppm statistical mass accuracy while maintaining high analytical sensitivity. The use of mass calibrants (lock masses) to reduce the systematic error of mass-to-charge measurements has also been reported and, in some cases, incorporated in the instrument control software by the instrument manufacturers. We evaluated the use of one such calibrant in the OT (e.g., polydimethylcyclosiloxane, PCM) to study its impact on the rate of phosphopeptide annotation and found it to lack robustness under normal laboratory conditions. Therefore, we devised a strategy to improve its performance by increasing the external abundance of calibrant molecules in laboratory air. This resulted in a more robust performance of the preprogrammed lock mass recalibration feature as evidenced by improvements in both statistical mass accuracy and peptide annotation rates.

Maximizing the sensitivity and reliability of peptide identification in large-scale proteomic experiments by harnessing multiple search engines.

Despite recent advances in qualitative proteomics, the automatic identification of peptides with optimal sensitivity and accuracy remains a difficult goal. To address this deficiency, a novel algorithm, Multiple Search Engines, Normalization and Consensus is described. The method employs six search engines and a re-scoring engine to search MS/MS spectra against protein and decoy sequences. After the peptide hits from each engine are normalized to error rates estimated from the decoy hits, peptide assignments are then deduced using a minimum consensus model. These assignments are produced in a series of progressively relaxed false-discovery rates, thus enabling a comprehensive interpretation of the data set. Additionally, the estimated false-discovery rate was found to have good concordance with the observed false-positive rate calculated from known identities. Benchmarking against standard proteins data sets (ISBv1, sPRG2006) and their published analysis, demonstrated that the Multiple Search Engines, Normalization and Consensus algorithm consistently achieved significantly higher sensitivity in peptide identifications, which led to increased or more robust protein identifications in all data sets compared with prior methods. The sensitivity and the false-positive rate of peptide identification exhibit an inverse-proportional and linear relationship with the number of participating search engines.

Free and total biotherapeutic evaluation in chromatographic assays: interference from targets and immunogenicity.

Measurement of drug concentrations is critical during drug development, supporting evaluation of safety and efficacy in the context of pharmacokinetics. Protein-based therapeutics have been historically measured by immunoassay methods. Technological advances provide new opportunities to measure these biotherapeutics using previously incompatible chromatographic techniques, such as MS. These advances are breaking down the barriers between 'large-molecule' and 'small-molecule' bioanalysis, and pushing scientists outside their comfort zones. One challenge in measuring biotherapeutic concentration is potential impact from other matrix components, such as therapeutic target or antidrug antibodies. Depending on the specific assay development objective, target interference could be either desired (favoring free measurement) or undesired (favoring total measurement). Orthogonal techniques provide additional tools to meet this challenge. The goal of this review is to introduce both small- and large-molecule bioanalytical scientists to the opportunities and challenges to consider while evaluating orthogonal methods for biotherapeutic bioanalysis.

Absolute quantification of the G protein-coupled receptor rhodopsin by LC/MS/MS using proteolysis product peptides and synthetic peptide standards.

Methods for the absolute quantification of a membrane protein are described using isotopically labeled or unlabeled synthetic peptides as standards. Synthetic peptides are designed to mimic peptides that are cleaved from target analyte proteins by proteolytic or chemical digestion, and the peptides selected serve as standards for quantification by LC/MS/MS on a triple quadrupole mass spectrometer. The technique is complementary to relative quantification techniques in widespread use by providing absolute quantitation of selected targets with greater sensitivity, dynamic range, and precision. Proteins that are found to be of interest by global proteome searches can be selected as targets for quantitation by the present method. This method has a much shorter analytical cycle time (minutes versus hours for the global proteome experiments), making it well suited for high-throughput environments. The present approach using synthetic peptides as standards, in conjunction with proteolytic or chemical cleavage of target proteins, allows mass spectrometry to be used as a highly selective detector for providing absolute quantification of proteins for which no standards are available. We demonstrate that quantification is simple and reliable for the integral membrane protein rhodopsin with reasonable recoveries for replicate experiments using low-micromolar solutions of rhodopsin from rod outer segments.