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Study of vesicular ATP release is complicated by Golgi-sequestered VNUT-pHluorins and clondronate inhibiting ATP release mediated by cell lysis in Neuro2A cells

2025· article· en· W4411876793 on OpenAlexaffabout
Layla Sadafi, Lara Gastaldello, BaRun Kim, Stephanie L. Rayner, Damon Poburko

Bibliographic record

VenuePhysiology · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMitochondrial Function and Pathology
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsGolgi apparatusLysisCell biologyCellChemistryBiologyBiochemistry

Abstract

fetched live from OpenAlex

Introduction: Vesicular ATP release mediates neurotransmission and paracrine signalling in diverse tissues systems, and the Vesicular Nucleotide Transporter (VNUT / SLC17A9) was identified as the transporter that loads ATP into vesicles. In many tissues, like sympathetic nerves and adrenal glands, ATP acts as a co-transmitter with other neurotransmitters like norepinephrine. In this context, we assumed that the identification of VNUT would provide an essential marker protein to study the trafficking, release and recycling of purinergic (ATP-secreting) vesicles. We hypothesized that fusing a pH-sensitive GFP to a lumen facing domain of VNUT would provide a novel tool to image the release of purinergic vesicles, complementing analyses of ATP release directly imaged using GRAB-ATP sensors which are P2Y1 receptors that are uncoupled from their G-proteins and are fused with a cytosolic, circularly permuted GFP that fluoresces when the receptor is bound by ATP. Methods: We generated VNUT-pHluorin fusion constructs using CCTOP, later validated by AlphaFold, to predict lumen facing domains. Constructs were expressed in Neuro2A cells stimulated with a variety of stimuli (e.g. high KCl solutions, hypotonic stress). In parallel, GRAB-ATP sensors were expressed to directly detect and calibrate ATP release. Results: Unlike other SLC17A and SLC18A family proteins that have a long lumen facing loop between the first two transmembrane domains, VNUT has only short lumen facing loops. We inserted pHluorin in the S1-S2, S3-S4, S7-S8 and S11-12 linkers, with the VNUTs1-2-pHluorin giving the best expression. The expression construct localized largely to a slightly acidic Golgi, and did not localize to acidic organelles. 55-105 mM KCl solutions, hypertonic 450 mM sucrose, 10 µM ionomycin and 0.5x hypotonic solution all failed to evoke externalization of the VNUT-pHluorins. GRAB-ATP confirmed that 0.5x solution induces robust ATP release, that was significantly reduced by the putative VNUT inhibitor clodronate (1 µM). Notably, ATP was often released as a large plume from one or two cells, with numerous smaller flickers of ATP released shortly before. Quantitative modelling indicated that the large release events were likely due to hypotonic cell lysis with “flickers” being consistent with vesicle release. The presumed lysis events were not sensitive to extracellular Ca2+ or depletion of ER Ca2+ stores with cyclopiazonic acid. Notably, inhibition of the GRAB-ATP signal by clodronate was mirrored in luciferase assays. Conclusion: All assessed VNUT-pHluorin constructs appeared to be trapped in Golgi-like organelles and fail to externalize in cells that mediate vesicular ATP release. Inhibition of the hypotonically-stimulated ATP release by clondronate appeared to be due to suppression of a cell-lysis like event, rather than inhibition of vesicular ATP release. Collectively, these results provide a cautionary tail when using clodronate to VNUT physiology and highlight the possibility that VNUT may support the filling of vesicles at a point upstream of the formation of fusion-competent vesicles. This work was supported by grant RGPIN-2019-04925 from the Natural Sciences and Engineering Research Council (NSERC) of Canada. This abstract was presented at the American Physiology Summit 2025 and is only available in HTML format. There is no downloadable file or PDF version. The Physiology editorial board was not involved in the peer review process.

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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 science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.241
Teacher spread0.231 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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