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Record W4400738200 · doi:10.1002/jex2.166

Evaluation of resazurin phenoxazine dye as a highly sensitive cell viability potency assay for natural killer cell‐derived extracellular vesicle‐based cancer biotherapeutics

2024· article· en· W4400738200 on OpenAlexafffund
Frédéric St-Denis Bissonnette, Shirley Qiu, Sarah E. Cummings, Melanie Kirkby, Yohannes Haile, Sarah Wassmer, Gauri Muradia, Jelica Mehic, Andrew Stalker, Amit Shrestha, Michele Ardolino, Seung‐Hwan Lee, Dylan Burger, Lisheng Wang, Jessie R. Lavoie

Bibliographic record

VenueJournal of Extracellular Biology · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicExtracellular vesicles in disease
Canadian institutionsOttawa HospitalCarleton UniversityInstitute of Infection and ImmunityUniversity of OttawaHealth Canada
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health ResearchHealth CanadaGovernment of OntarioCancer Research Society
KeywordsResazurinViability assayCytotoxicityCytotoxic T cellGranzymeCancer cellChemistryK562 cellsPerforinBiologyPharmacologyCellCancer researchCancerIn vitroBiochemistry

Abstract

fetched live from OpenAlex

Abstract Natural killer cell‐derived extracellular vesicles (NK‐EVs) are candidate biotherapeutics against various cancers. However, standardised potency assays are necessary for a reliable assessment of NK‐EVs' cytotoxicity. This study aims to thoroughly evaluate a highly sensitive resazurin phenoxazine‐based cell viability potency assay (measurement of the cellular redox metabolism) for quantifying the cytotoxicity of NK‐EVs against leukaemia K562 cells (suspension model) and breast cancer MDA‐MB‐231 cells (adherent model) in vitro. The assay was evaluated based on common analytical parameters setforth by regulatory guidelines, including specificity, selectivity,accuracy, precision, linearity, range and stability. Our results revealed that this resazurin‐based cell viability potency assay reliably and reproducibly measured a dose‐response of NK‐EVs’ cytotoxic activity against both cancer models. The assay showed precision with 5% and 20% variation for intra‐run and inter‐run variability. The assay signal showed specificity and selectivity of NK‐EVs against cancer target cells, as evidenced by the diminished viability of cancer cells following a 5‐hour treatment with NK‐EVs, without any detectable interference or background. The linearity analysis of target cancer cells revealed strong linearity for densities of 5000 K562 and 1000 MDA‐MB‐231 cells per test with a consistent range. Importantly, NK‐EVs’ dose‐response for cytotoxicity showed a strong correlation (| ρ | ∼ 0.8) with the levels of known cytotoxic factors associated with the NK‐EVs’ corona (FasL, GNLY, GzmB, PFN and IFN‐γ), thereby validating the accuracy of the assay. The assay also distinguished cytotoxicity changes in degraded NK‐EVs, indicating the ability of the assay to detect the potential loss of sample integrity. Compared to other commonly reported bioassays (i.e., flow cytometry, cell counting, lactate dehydrogenase release assay, DNA‐binding reporter assay and confluence assay), our results support this highly sensitive resazurin‐based viability potency assay as a high‐throughput and quantitative method for assessing NK‐EVs’ cytotoxicity against both suspension and adherent cancer models for evaluating NK‐EVs’ biotherapeutics.

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)0.005
metaresearch head score (Gemma)0.001
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 score0.161
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.020
GPT teacher head0.319
Teacher spread0.299 · 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".

Quick stats

Citations8
Published2024
Admission routes2
Has abstractyes

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