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Record W2892213262

Droplet-Based Microfluidic System for Tumor Cell Encapsulation in Alginate Beads and Anticancer Drug Testing

2010· article· en· W2892213262 on OpenAlexaff
Linfen Yu, Karen C. Cheung

Bibliographic record

VenueCMBES Proceedings · 2010
Typearticle
Languageen
FieldEngineering
TopicInnovative Microfluidic and Catalytic Techniques Innovation
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSpheroidMicrofluidicsDrug deliveryCell cultureIn vivoCytotoxicity3D cell cultureBiomedical engineeringCellConfocal microscopyCancer cellChemistryDrugNanotechnologyBiophysicsIn vitroMaterials scienceCell biologyCancerBiologyPharmacologyMedicineBiochemistryBiotechnology
DOInot available

Abstract

fetched live from OpenAlex

Three-dimensional cell culture is critical in characterizing anticancer treatments since it may provide a better model than monolayer culture of in vivo tumor cells. Moreover, continuous dynamic perfusion allows the establishment of long term cell culture and drug interaction to exposed tumor spheroids. Here we present a droplet-based microfluidic system for formation of uniform alginate gel beads, trapping alginate beads in microsieve structures, and characterization of the interaction between tumor spheroids and anticancer drug, all in one integrated platform. In our microfluidic device, breast cancer cells were used as a model system to validate the platform. After the tumor spheroid formation, serial concentrations of drugs were used to investigate the dose-effect relationship between drug and cell proliferation and cell death. After the cells were treated with drug for 2 days, the cells were stained with live/dead fluorescent dye and detected with confocal microscopy. Compared with that of the monolayer culture cells, small tumor spheroids have higher resistance to anticancer drugs than monolayer culture cells which is valuable for identifying correct clinical dosing. This microfluidic platform requires minimal culture reagents and mechanical labor which will significantly reduce the cost and time and realize the high throughput cell cytotoxicity assessment. In future it may replace labour intensive, microtiter-plate based screening platforms currently implemented in the laboratory.

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 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 score0.023
Threshold uncertainty score0.818

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.008
GPT teacher head0.213
Teacher spread0.205 · 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.

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
Published2010
Admission routes1
Has abstractyes

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Same venueCMBES ProceedingsSame topicInnovative Microfluidic and Catalytic Techniques InnovationFrench-language works237,207