Characterization of protein impurities and site-specific modifications using peptide mapping with liquid chromatography and data independent acquisition mass spectrometry.

Liquid chromatography (LC)-based peptide mapping is extensively used for establishing protein identity, assessing purity, and detecting post-translational modifications (PTMs) of recombinant proteins in the biopharmaceutical industry. However, current LC-UV/MS peptide mapping methods require multiple analyses and MS/MS experiments to identify protein contaminants and site-specific PTMs. This manuscript evaluated an alternative approach for protein characterization via peptide mapping employing a data independent LC-MS acquisition strategy with an alternate low and elevated collision energy scanning. The acquired peptide precursor and fragment information was utilized for effective identification of peptide sequences and site-specific modifications within a single LC run. The peptide MS signal intensities were reliably measured and used to estimate relative concentrations of PTMs and/or proteins contaminating the target protein. The method was evaluated using tryptic digests of yeast enolase and alcohol dehydrogenase. LC-eluted peptides were successfully sequenced and covered 97% target protein sequences. Protein impurities and site-specific modifications (e.g., M-oxidation and N-deamidation) were identified and quantified.

Comparison of 1-D and 2-D LC MS/MS methods for proteomic analysis of human serum.

1-D and 2-D LC methods were utilized for proteome analysis of undepleted human serum. Separation of peptides in 2-D LC was performed either with strong cation exchange (SCX)-RP chromatography or with an RP-RP 2-D LC approach. Peptides were identified by MS/MS using a data-independent acquisition approach. A peptide retention prediction model was used to highlight the potential false-positive peptide identifications. When applying selected data filtration, we identified 52 proteins based on 316 peptides in serum in 1-D LC setup. One hundred and eighty-four proteins/1036 peptides and 142 proteins/905 peptides were identified in RP-RP and SCX-RP 2-D LC, respectively. The performance of both 2-D LC methods for proteomic analysis is critically compared.

Mixed-mode chromatography for fractionation of peptides, phosphopeptides, and sialylated glycopeptides.

A mixed-mode chromatographic (MMC) sorbent was prepared by functionalizing the silica sorbent with a pentafluorophenyl (PFP) ligand. The resulting stationary phase provided a reversed-phase (RP) retention mode along with a relatively mild strong cation-exchange (SCX) retention interaction. While the mechanism of interaction is not entirely clear, it is believed that the silanols in the vicinity of the perfluorinated ligand act as strongly acidic sites. The 2.1 mm x 150 mm column packed with such sorbent was applied to the separation of peptides. Linear RP gradients in combination with salt steps were used for pseudo two-dimensional (2D) separation and fractionation of tryptic peptides. An alternative approach of using linear cation-exchange gradients combined with RP step gradients was also investigated. Besides the attractive forces, the ionic repulsion contributed to the retention mechanism. The analytes with strong negatively charged sites (phosphorylated peptides, sialylated glycopeptides) eluted in significantly different patterns than generic tryptic peptides. This retention mechanism was employed for the isolation of phosphopeptides or sialylated glycopeptides from non-functionalized peptide mixtures. The mixed-mode column was utilized in conjunction with a phosphopeptide enrichment solid phase extraction (SPE) device packed with metal oxide affinity chromatography (MOAC) sorbent. The combination of MOAC and mixed-mode chromatography (MMC) provided for an enhanced extraction selectivity of phosphopeptides and sialylated glycopeptides peptides from complex samples, such as yeast and human serum tryptic digests.

Peptide retention prediction applied to proteomic data analysis.

A retention prediction model was developed for peptides separated in reversed-phase chromatography. The model was utilized to identify and exclude the false positive (FP) peptide identifications obtained via database search. The selected database included human proteins, as well as decoy sequences of random proteins. The FP peptide detection rate was defined either as number of retention time outliers, or random decoy sequence identifications. The FP rate for various MASCOT scores was calculated. The peptides identified in one-dimensional (1D) and two-dimensional (2D) liquid chromatography/mass spectrometry (LC/MS) experiments were validated by prediction models. Multi-dimensional LC was based on two orthogonal reversed-phase chromatography modes; prediction models were successfully applied for data filtering in both separation dimensions.

Improving de novo sequencing of peptides using a charged tag and C-terminal digestion.

An improved method for peptide de novo sequencing by MALDI mass spectrometry is presented. The method couples a charge derivatization reaction with C-terminal digestion to modify tryptic peptides. The charge derivatization attaches a fixed charge group onto the N-termini of peptides, and the enzymatic digestion after the derivatization step removes C-terminal basic amino acid residues such as arginine and lysine. The fragmentation of the modified peptide(s) under low-energy CID conditions (MALDI Q-TOF mass spectrometer) yields a simplified yet complete ion series of the peptide sequence. The validity of the method is demonstrated by the results from several model protein digests, where peptide sequences were correctly deduced either manually or through an automated sequencing program.

Development of an online two-dimensional nano-scale liquid chromatography/mass spectrometry method for improved chromatographic performance and hydrophobic peptide recovery.

An online two-dimensional (2D) strong cation-exchange (SCX)/reversed-phase (RP) nano-scale liquid chromatography/mass spectrometry (nanoLC/MS) method was developed for improved separation and hydrophobic peptide recovery. Sharper and more symmetric RP peaks were observed with the use of a "band re-focusing method", in which an analytical RP column with more hydrophobicity than the RP trap column was used in the system. To recover hydrophobic peptides still unreleased from the SCX column after a conventional salt step gradient due to hydrophobic interaction, a RP step gradient from 10% to 30% acetonitrile (ACN) was applied to the SCX column in the presence of a high salt concentration following the salt gradient. There were 301 unique hydrophobic E. coli peptides identified from the RP fractions. These peptides, which were 19% of all E. coli peptides identified from a 2D run, would not have been identified without the application of the RP gradient to the SCX column.

Two-dimensional separation of peptides using RP-RP-HPLC system with different pH in first and second separation dimensions.

Two-dimensional high performance liquid chromatography is a useful tool for proteome analysis, providing a greater peak capacity than single-dimensional LC. The most popular 2D-HPLC approach used today for proteomic research combines strong cation exchange and reversed-phase HPLC. We have evaluated an alternative mode for 2D-HPLC of peptides, employing reversed-phase columns in both separation dimensions. The orthogonality of 2D separation was investigated for selected types of RP stationary phases, ion-pairing agents and mobile phase pH. The pH appears to have the most significant impact on the RP-LC separation selectivity; the greatest orthogonality was achieved for the system with C18 columns using pH 10 in the first and pH 2.6 in the second LC dimension. Separation was performed in off-line mode with partial fraction evaporation. The achievable peak capacity in RP-RP-HPLC and overall performance compares favorably to SCX-RP-HPLC and holds promise for proteomic analysis.

Orthogonality of separation in two-dimensional liquid chromatography.

Two-dimensional liquid chromatography is often used to reduce the proteomic sample complexity prior to tandem mass spectrometry analysis. The 2D-LC performance depends on the peak capacity in both chromatographic dimensions, and separation orthogonality. The peak capacity and selectivity of many LC modes for peptides is not well known, and mathematical characterization for orthogonality is underdeveloped. Consequently, it is difficult to estimate the performance of 2D-LC for peptide separation. The goal of this paper was to investigate a selectivity of common LC modes and to identify the 2D-LC systems with a useful orthogonality. A geometric approach for orthogonality description was developed and applied for estimation of a practical peak 2D-LC capacity. Selected LC modes including various RP, SCX, SEC, and HILIC were combined in 2D-LC setups. SCX-RP, HILIC-RP, and RP-RP 2D systems were found to provide suitable orthogonality. The RP-RP system (employing significantly different pH in both RP separation dimensions) had the highest practical peak capacity of 2D-LC systems investigated.

Evaluation of multidimensional (ion-exchange/reversed-phase) protein separations using linear and step gradients in the first dimension.

The performance characteristics of multidimensional liquid chromatographic protein separations were evaluated using on-line electrospray mass detection, and a novel workflow for automated LC/MS data processing. Two-dimensional ion exchange/reversed-phase LC separations of Escherichia coli cytosol were conducted using either a continuous linear or discontinuous step gradient in the first dimension. Chromatographic profiles of the top 100 most abundant components were characterized to assess overall separation reproducibility within each mode, and to characterize differences in component distribution between the two modes of operation. Analysis of the resulting data indicates that multidimensional separations of complex protein mixtures can be done reproducibly. Furthermore, under the conditions employed within this study, a linear first dimension gradient was more effective at fractionating the protein mixture, distributing fewer major components to multiple second dimension cycles than an equivalent step gradient. The application of on line mass spectrometry, and automated processing of the resulting data, proved valuable for producing component level analysis of multidimensional protein separations.

Implications of column peak capacity on the separation of complex peptide mixtures in single- and two-dimensional high-performance liquid chromatography.

Column peak capacity was utilized as a measure of column efficiency for gradient elution conditions. Peak capacity was evaluated experimentally for reversed-phase (RP) and cation-exchange high-performance liquid chromatography (HPLC) columns, and compared to the values predicted from RP-HPLC gradient theory. The model was found to be useful for the prediction of peak capacity and productivity in single- and two-dimensional (2D) chromatography. Both theoretical prediction and experimental data suggest that the number of peaks separated in HPLC reaches an upper limit, despite using highly efficient columns or very shallow gradients. The practical peak capacity value is about several hundred for state-of-the-art RP-HPLC columns. Doubling the column length (efficiency) improves the peak capacity by only 40%, and proportionally increases both the separation time and the backpressure. Similarly, extremely shallow gradients have a positive effect on the peak capacity, but analysis becomes unacceptably long. The model predicts that a 2D-HPLC peak capacity of 15,000 can be achieved in 8 h using multiple fraction collection in the first dimension followed by fast RP-HPLC gradients employing short, but efficient columns in the second dimension.