Featuring the SCIEX ZenoTOF 7600 system with EAD and Protein Metrics software
Zoe Zhang1, Kerstin Pohl1, Takashi Baba2, Pavel Rumin2, Bill Loyd2, Jason Causon2 and Elliott Jones1
1SCIEX, US; 2SCIEX, Canada
The automated characterization of challenging post-translational modifications (PTMs), the confirmation of amino acid (AA) isomers and a streamlined, simplified disulfide mapping approach will be presented in this work. An unprecedented in-depth characterization can be routinely achieved using electron activated dissociation (EAD)1,2 as part of a fully automated data-dependent acquisition (DDA) workflow that includes processing with Protein Metrics software.
As next generation biologics become more complex and sophisticated in terms of structure, the requirements of analytical tools for characterization and quality assessment are consequently increasing. Traditionally used collision-induced dissociation (CID) has a number of limitations in PTM localization. It is limited in its ability to determine peptide side chains and in its disulfide mapping capabilities. Alternative fragmentation, however, struggled with sensitivity, reproducibility, and acquisition speed. These fundamental limitations have restrained the widespread adoption of alternative fragmentation as the primary technique for peptide mapping.
Developed to address the rigorous analytical challenges of biopharmaceuticals, the ZenoTOF 7600 system (Figure 1) is uniquely capable of facilitating EAD at speeds up to 20 Hz and offers sensitivity enhancements using the patented Zeno trap. In addition, quantitative reproducibility is accomplished through a reagent-free fragmentation technique. In-depth peptide mapping of new and complex molecules, as well as standard monoclonal antibodies (mAb), can be achieved with the system in a fully automated fashion. Increased MS/MS sequence coverage, PTM characterization and AA isomer elucidation can be accomplished with this newly designed type of mass spectrometer.
CID is the most common form of MS/MS fragmentation employed in biotherapeutic peptide mapping analysis today. However, some analytical questions cannot be answered with CID, thus they require different technologies. Alternative fragmentation techniques have been used in the past, but lack broad adoption due to limitations with regards to sensitivity, reproducibility, and acquisition speed.
EAD is an ideal tool for addressing these challenges of complex biotherapeutic characterization in an automated way as part of a DDA workflow. Examples shown here include:
CID provides great reproducibility, good sensitivity, and high acquisition rates that allow for a comprehensive coverage of analytes and are compatible with chromatographic time-scales. CID has limitations with regards to fragile PTMs, however. Achieving great MS/MS sequence coverage and information on the exact localization of fragile PTMs at the same time can only rarely be addressed with CID.
For a phosphorylated peptide from a fetuin digest, the optimized CID spectrum shows a good sequence coverage, but phosphoric acid losses (-98 amu), due to the dissociation of the fragile modification alongside with water from the peptide backbone (encircled fragments in Figure 2, top). As a consequence, the confident localization of the fragile modification is impeded, especially when putative phosphorylation sites increase.3 Conversely, the fragmentation of the same peptide with EAD does not only provide significantly higher fragment coverage (Figure 2, bottom), but also allows for the accurate localization of the phosphorylation at the same time proven by diagnostic ions such as c8-c10 and z14 (Figure 2, bottom). The standard energy of 7 eV used for EAD specifically targets the fragmentation of the peptide backbone providing comprehensive fragment information, but is soft enough to maintain fragile modifications (encircled fragments in Figure 2, bottom).
Figure 3, shows the MS/MS spectra for a glycosylated peptide from a monoclonal antibody (G0F-containing peptide from NISTmAb) acquired with either Zeno CID or Zeno EAD. In the case of glycosylated peptides, CID can either provide fragment information of the fragile glycans when applying low collision energies or of the peptide backbone when high collision energies are used, but not both in the same MS/MS spectrum with high quality (Figure 3, top). Identification of the peptide is therefore limited, and the exact localization of the modification quite often impossible, especially in the case of multiple potential modification sites. Using Zeno EAD, a rich MS/MS spectrum was produced (Figure 3, bottom). It contains peptide sequence information as well as diagnostic oxonium ions and fragment information with the intact glycan attached (encircled ions in Figure 3, bottom) allowing for thorough identification of the peptide and exact determination of the position of the glycan. This is in alignment with EAD achieving very comprehensive fragment coverage, while the coverage obtained with CID is significantly lower (Figure 3). Further information on glycopeptide analysis with Zeno EAD can be found in a previous technical note.4
AA isomers are an important category of quality attributes and can affect the structure and function of protein therapeutics. Two key examples are aspartic acid (Asp) and isoaspartic acid (isoAsp), as well as leucine (Leu) and isoleucine (Ile).5,6 CID derived b- and y-ion fragments do not provide enough information to distinguish these isomers. However, each of these isoelemental AA pairs can be differentiated using diagnostic fragment ions derived from EAD (Figure 4 and 5, respectively).
Figure 6 demonstrates the difference in fragmentation for a peptide containing either isoAsp or Asp. Although both peptides found in a mAb digest were chromatographically separated, alternative fragmentation is needed to confidently distinguish between the two forms. Using Zeno EAD the peptides could be differentiated based on the diagnostic ions z3-57 and c13+57 (Figure 6A). This allowed for unambiguous identification of the isomer during a standard peptide mapping acquisition. Using a DDA approach and Protein Metrics software allowed for an automated characterization of this potentially critical quality attribute.
A similar determination can be made for Leu and Ile containing peptides derived from a mAb digest (Figure 7). The diagnostic losses of 43 Da of the z6 and z13 confirm the presence of two Leu for the peptide EVQLVESGGGLVQPGR (Figure 7A) at the positions L4 and L11. For the small doubly-charged peptide TISKAK, Ile was confirmed at position I2 with z5-29 using EAD (Figure 7B) with high quality data. Differentiating Ile and Leu at the protein level is key for complying with regulatories’ requirements for confirming the sequence of a biotherapeutic sample.
Another important facet of protein therapeutic characterization is the ability to characterize disulfide bonds. Since disulfide bonds are affecting the overall structure of the molecule, their characterization is of primary importance to ensure an effective drug. MS data can provide the mass of the connected peptides, but in a peptide mapping experiment based on CID these bonds cannot be fragmented. This limits the information on the identity of the bound peptides and their sequence. In contrast, EAD has proven to be particularly useful for this type of analysis, since the disulfide bond is cleaved, allowing for information on the previously bound peptides separately and enhanced MS/MS information on their sequences (Figure 8). The high score achieved for the base peptide (SGTASVVCLLNNFYPR) of 590 and the one of the cross-linked peptide (VYACEVTHQGLSSPVTK) of 379 confirm that, since CID frequently results in low scores for the cross-linked peptides. Achieving this level of information without the need to analyze a reduced, digested sample is not only very efficient (one injection workflow without additional sample preparation), but also reduces the risk of misalignment in data interpretation when analyzing two different sample preparations. The EAD derived MS/MS data allowed for greater confidence in assignment of the two peptides as both peptides were found in their +1 and +2 charge states after the cleavage of the disulfide bond using EAD (Figure 8). In addition, a great MS/MS sequence coverage of the peptides could be achieved with EAD. EAD as part of a DDA workflow can be performed using a standard electron energy and with high acquisition rates which are compatible with peptide mapping requirements at analytical flow rates. This enables disulfide mapping alongside general peptide mapping experiments without the need for separate MS methods or injections.7,8