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Record W4362540881 · doi:10.1158/1538-7445.am2023-5309

Abstract 5309: Isolation and validation of small extracellular vesicles from rhabdomyosarcoma cells

2023· article· en· W4362540881 on OpenAlexaff
Paula R. Quaglietta, Ashby Kissoondoyal, Ethan Malkin, Salvador Mejía, Ann Gong, David Malkin, Reto M. Baertschiger

Bibliographic record

VenueCancer Research · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicExtracellular vesicles in disease
Canadian institutionsPrincess Margaret Cancer CentreHospital for Sick Children
Fundersnot available
KeywordsNanoparticle tracking analysisExtracellular vesiclesChemistryCell cultureMolecular biologyMaterials scienceNanotechnologyMicrovesiclesBiologyCell biologyBiochemistry

Abstract

fetched live from OpenAlex

Abstract Extracellular vesicles (EVs) are nano-sized (30-1000 nm) membranous particles released by nearly all cell types. EV biology is a rapidly growing field, however its relative novelty and the intrinsic heterogeneity of EVs result in a lack of standardized and reproducible protocols. We sought to develop and validate an EV isolation method using rhabdomyosarcoma cell lines, with multiple characterization/validation methods, to improve the reproducibility and reliability of EV research in pediatric cancer research. EVs were isolated and analyzed in triplicate from 4 rhabdomyosarcoma cell lines (RH4, RH18, RH30, RD), of varying clinical characteristics including subtype, TP53 status and FOXO1 fusion status. Cells were grown to 70% confluency in six 175cm2 flasks, to ensure sufficient EV content for all downstream analyses, then incubated for 48 hours in media containing 10% EV-depleted FBS. The resultant 120mL of conditioned media (CM) per cell line was collected and subject to differential ultracentrifugation to isolate EVs. CM was centrifuged twice, then concentrated to less than 10mL using 3kDa MWCO filter tubes. Concentrated CM was centrifuged twice before passing through a 0.22μm pore-sized syringe filter prior to the final ultracentrifugations. The sample was ultracentrifuged and the EV pellet was carefully washed, re-centrifuged and resuspended in 100μL of PBS. Protein analysis by Western blot confirmed the presence of EV markers (syntenin-1, TSG101) and absence of non-EV markers (calnexin, histone H2Ax). EV quantification and size distributions were evaluated by NanoSight nanoparticle tracking analysis and visualized by transmission electron microscopy. All isolations were positive for EV markers and negative for non-EV markers by Western Blotting. All isolations showed similar size distributions by nanoparticle tracking analysis, within the range of 30-250nm. EVs in each sample with the typical cup-like shape were observed in electron microscope images of EVs. Overall, our method demonstrates good reproducibility of EV isolations from multiple rhabdomyosarcoma cell lines. This methodology can be used as a baseline for other cell lines to provide greater consensus within the field, allowing further discoveries analyzing the secretome of patient-derived cell lines with the potential to translate into more specific diagnostic tools. Citation Format: Paula R. Quaglietta, Ashby Kissoondoyal, Ethan Malkin, Salvador Mejia, Ann Gong, David Malkin, Reto M. Baertschiger. Isolation and validation of small extracellular vesicles from rhabdomyosarcoma cells. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 5309.

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 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)0.002
metaresearch head score (Gemma)0.001
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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.054
GPT teacher head0.347
Teacher spread0.293 · 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
Published2023
Admission routes1
Has abstractyes

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