Characterization of drug-product-related impurities and variants of a therapeutic monoclonal antibody by higher energy C-trap dissociation mass spectrometry.

Mass spectrometry (MS) characterization of recombinant monoclonal antibody (mAb) drugs and their degraded and/or post-translationally modified counterparts, drug-product-related impurities and variants, is critical for successful development of biotherapeutics. Specifically in this study, drug-product-related impurities of an anti-Clostridium difficile IgG1 mAb drug substance were profiled by cation-exchange liquid chromatography (CEX) followed by the CEX peaks being fraction-collected for MS characterization. A reversed-phase liquid chromatography/mass spectrometry (LC/MS) methodology was developed on a Thermo Q-Exactive orbitrap mass spectrometer for (1) accurate mass measurements of the mAb, its CEX fractionated impurities, and their respective heavy chains and light chains and (2) middle-down LC/MS/MS of the light chains and the heavy chains using higher energy C-trap dissociation (HCD). The accurate mass measurements and the HCD middle-down MS/MS experiments identify that major impurities and variants of the anti-C. difficile mAb are degradation species of the heavy chains at residue Asn101 as well as at the hinge region amino acids, including Cys222, Lys224, His226, and Thr227, with levels ranging from 0.3% to 6.2% of the total drug substance. Additional impurities were identified as light chain C-terminal truncation at Gly93 and oxidized heavy chains at Met40, Met93, and Met430. Our impurity characterization results demonstrate that the middle-down MS method allows direct and accurate identification of drug-product-related impurities of therapeutic mAbs. It is particularly useful for those low-level impurities and variants that are not suitable for further fractionation and characterization by bottom-up MS.

Deconvolution and database search of complex tandem mass spectra of intact proteins: a combinatorial approach.

Top-down proteomics studies intact proteins, enabling new opportunities for analyzing post-translational modifications. Because tandem mass spectra of intact proteins are very complex, spectral deconvolution (grouping peaks into isotopomer envelopes) is a key initial stage for their interpretation. In such spectra, isotopomer envelopes of different protein fragments span overlapping regions on the m/z axis and even share spectral peaks. This raises both pattern recognition and combinatorial challenges for spectral deconvolution. We present MS-Deconv, a combinatorial algorithm for spectral deconvolution. The algorithm first generates a large set of candidate isotopomer envelopes for a spectrum, then represents the spectrum as a graph, and finally selects its highest scoring subset of envelopes as a heaviest path in the graph. In contrast with other approaches, the algorithm scores sets of envelopes rather than individual envelopes. We demonstrate that MS-Deconv improves on Thrash and Xtract in the number of correctly recovered monoisotopic masses and speed. We applied MS-Deconv to a large set of top-down spectra from Yersinia rohdei (with a still unsequenced genome) and further matched them against the protein database of related and sequenced bacterium Yersinia enterocolitica. MS-Deconv is available at http://proteomics.ucsd.edu/Software.html.

Phyloproteomic classification of unsequenced organisms by top-down identification of bacterial proteins using capLC-MS/MS on an Orbitrap.

Currently, most MS-based proteomic studies of bacteria and archea match experimental data to known amino acid sequences from the target organism. Top-down studies use a protein's molecular weight along with data gathered from MS/MS experiments to identify proteins by database matching. For Erwinia herbicola and Enterobacter cloacae, studied here, the necessary protein sequences are not available in protein sequence repositories. We apply top-down protein fragmentation, but match the experimental data with homologous proteins from related organisms with sequenced genomes, demonstrating considerable shared protein sequence between closely related bacteria. Using this homology-based approach, we are not only able to identify representative proteins, but are also able to place the two target bacteria in their correct phylogeny. Furthermore, we show that the unexpected mass delta between the experimental precursor and matched protein sequence can often be localized and characterized using accurate-mass precursor and fragment ion measurements. Finally, we demonstrate that proteins identified by top-down workflows provide strong experimental evidence for correct, missing, and misannotated bacterial protein sequences, not only in the analyzed organism, but also for homologous proteins in closely related species.

High-throughput middle-down analysis using an orbitrap.

This report demonstrates the application of a capillary LC-LTQ-orbitrap system to provide automated middle-down analysis of proteolytic peptides in the mass range 3000 to 10,000 Da. The novel workflow combines an underutilized method in the orbitrap-high resolution, mass-accurate product ion measurements-with software tailored to search such data (ProSightPC 2.0) and an Asp-selective chemical cleavage approach that generates peptides across an extended mass range. The strategy using high resolution mass measurements on both precursor and product ions is analogous to that widely used on FT-ICR analyzers. The approach is demonstrated in an analysis of the highly basic ribosomal proteome isolated from human MCF7 cancer cells.

Top-down identification of protein biomarkers in bacteria with unsequenced genomes.

MALDI mass spectrometry-based systems for rapid characterization of microorganisms in biodefense or medical diagnostics usually detect intact proteins in the 5000-20,000 Da range. To evaluate the reliability of species discrimination, and also for forensic applications, it is important that these biomarker proteins be identified. In the present study we apply high resolution tandem mass analysis on an Orbitrap and top-down bioinformatics to identify major biomarker proteins observed in MALDI spectra of intact bacteria for which little genomic or protein sequence information is available. The strategy depends on recognition of proteins with very high homology in related (sequenced) species, making it possible to place unsequenced organisms in their correct phylogenetic context. We show that this rapid proteomics based approach to phylogenetic characterization produces similar results to the traditional techniques, and may even be applied to target organisms of undetermined taxonomy. We further discuss important issues in combining genomics/proteomics databases and MALDI MS for the rapid characterization of microorganisms.

Evaluation of microwave-accelerated residue-specific acid cleavage for proteomic applications.

Microwave-accelerated proteolysis using acetic acid has been shown to occur specifically on either or both sides of aspartic acid residues. This chemical cleavage has been applied to ovalbumin and several model peptides to test the effect on some of the more common post-translational modifications. No oxidation of methionine or cysteine was observed; however, hydrolysis of phosphate groups proceeds at a detectable rate. Acid cleavage was also extended to the yeast ribosome model proteome, where it provided information on 74% of that proteome. Aspartic acid occurs across the proteome with approximately half the frequency of the combined occurrence of the trypsin residues lysine and arginine, and implications of this are considered.