Proline/Alanine Tails as Ionization Enhancement Tags in Native Mass Spectrometry
Bibliographic record
Abstract
Introduction: Asparaginase (ASNase) is an enzyme used for the treatment of acute lymphoblastic leukemia (ALL) and is an integral component of treatment protocols with long-term survival rates in children that have progressively increased to about 90%. We are presently carrying out native mass spectrometry, ion mobility and hydrogen deuterium exchange on a ‘PASylated’ version of this protein, which incorporates a Proline/Alanine ‘tail’ (Biopolymers 2018, 109, e23069) in order to enhance longevity in vivo using PASylation technology. While characterizing structural features of this protein that confer resistance to degradation in vivo, we noted that this species exhibits a unique electrospray ionization mechanism that appears to be driven primarily by chain ejection, even for the relatively large, folded tetramer. In this work, we explore the role of a long-disordered tail in protein ionization, including the possibility that PA(S)tails may serve as ‘ionization enhancement tags’ for proteins that are inefficiently ionized via electrospray. Method: PASylated ASNase was acquired from Jazz pharmaceuticals. These batches were treated using 40 KDa MWCO Zeba desalting columns and subjected to native mass spectrometry on a Waters G2S ion mobility mass spectrometer by direct infusion ESI. Data analysis was carried out using the Unidec deconvolution software package (Anal. Chem. 2015, 87, 8, 4370–4376). Preliminary data: To better understand the structure of PA-tagged protein, we ran electrospray ionization (ESI) mass spectrometry for both the core enzyme Erwinia Asparaginase and the PASylated Asparaginase. The untagged protein exhibits a typical ‘native’ mass spectrum for a large multimeric protein, corresponding to relatively low charge and a relatively narrow distribution associated with charge residue ionization. The population is more than 90% tetrameric, based on the relative peak intensities of the tetramer vs. the monomer. The peaks associated with the monomer also appear to ionize via a charge residue mechanism, which is consistent with a folded protein. Interestingly, the PA tail, added as a PASylation tag to improve in vivo stability of this protein, radically changes the native ESI mass spectrum. In particular, the tagged protein exhibits a mixture of intense, highly charged monomeric, dimeric, trimeric and tetrameric species. This suggests that the PASylated protein has undergone ionization primarily by chain ejection rather than charge residue, which would imply that the ionization mechanism is dominated by the unstructured PA ‘tail’, in line with previous observations made with isolated PAS sequences (J. Am. Soc. Mass Spectrom. 2014 25, 1489-1497). This raises two questions that we will explore: (1) What is the minimum length of unstructured ‘tail’ required for a ‘native’ protein to favor chain ejection over charge residue and (2) can PA tails be used as ‘ionization enhancement tags’ to facilitate detection of large or otherwise ‘difficult to ionize’ protein complexes? Novel aspects: In this work, we propose PASylation ® as a new tool for ionization enhancement through chain ejection.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".