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Record W2168759510 · doi:10.1021/bp050430z

Scale-Up of Breast Cancer Stem Cell Aggregate Cultures to Suspension Bioreactors

2006· article· en· W2168759510 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueBiotechnology Progress · 2006
Typearticle
Languageen
FieldEngineering
Topic3D Printing in Biomedical Research
Canadian institutionsMcMaster UniversityUniversity of Calgary
FundersStem Cell Network
KeywordsBioreactorPopulationBreast cancerSuspension (topology)Cell cultureStem cellMass transferCancerIn vivoCancer cellChemistryBiologyBiophysicsBiotechnologyCell biologyBotanyChromatographyMedicineMathematicsGenetics

Abstract

fetched live from OpenAlex

It has been hypothesized that breast tumor formation results from the activity of a scarce population of cells known as Breast Cancer Stem Cells (BrCSCs) and that the development of effective breast cancer therapies may therefore ultimately rely upon the ability to effectively target these cells for eradication. The scarcity of BrCSCs in vivo severely compromises research on these populations, as analyses are restricted to those requiring small cell numbers, and has become a major impediment to the development of therapeutic strategies against breast cancer. Through the culture of murine tissue aggregates containing a population of BrCSCs, this study demonstrates the ability of propagating this scarce population in a controlled and reproducible manner, within suspension bioreactors. A rigorous theoretical framework has been developed in order to understand and characterize the implications of oxygen mass transfer within aggregates upon scale-up and thereby provide a foundation for the scale-up of aggregate cultures. A two-factor, two-level factorial experimental design was also performed in order to assess the effects of inoculation density and hydrodynamic shear upon cell yield. We discovered that the culture of the murine aggregates in a relatively low shear environment (tau(max) = 0.20 Pa) and inoculated at 3.50 x 10(4) cells/mL resulted in the best yields for the range of conditions investigated in suspension bioreactors. A detailed study on the oxygen uptake kinetics of the aggregates also revealed that the uptake rates were not significantly affected by mass transfer limitations, as uptake rates of aggregate cultures were found to be comparable to those observed in single cell cultures. Cells propagated in a process controlled 500 mL suspension bioreactor resulted in growth kinetics that were comparable to those observed in 125 mL bioreactors. Doubling times in the 500 mL vessel were found to be 23.9 h and attained a maximum cell density of 1.20 x 10(6) cells/mL. After enumerating the number of BrCSCs, this resulted in an approximately 20-fold increase in BrCSC numbers in batch suspension cultures. With greater attention being applied to BrCSCs, their propagation in suspension bioreactors makes available experimental avenues that are not currently accessible and may thereby enable the development of more effective therapeutic drugs for the treatment of breast cancer.

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.

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 score0.277
Threshold uncertainty score0.584

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.261
Teacher spread0.253 · 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