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Proline/Alanine Tails as Ionization Enhancement Tags in Native Mass Spectrometry

2023· preprint· en· W4376617919 on OpenAlexaff
Marwa ElSabaawy, Cristina Lento, Guifeng Jiang, Austin Power, Derek J. Wilson

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBiochemical and Molecular Research
Canadian institutionsYork University
Fundersnot available
KeywordsChemistryElectrospray ionizationMass spectrometryProtein mass spectrometryHydrogen–deuterium exchangeChromatography

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.064
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.019
GPT teacher head0.314
Teacher spread0.294 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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