MétaCan
Menu
Back to cohort

Dynamic Expansion Culture for Mesenchymal Stem Cells

2011· article· en· W88523622 on OpenAlexafffund
Hicham Majd, Thomas Quinn, Pierre‐Jean Wipff, Boris Hinz

Bibliographic record

VenueMethods in molecular biology · 2011
Typearticle
Languageen
FieldMedicine
TopicMesenchymal stem cell research
Canadian institutionsUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsMesenchymal stem cellCell biologyRegenerative medicineCell cultureContact inhibitionCell growthCellStem cellBiologyBiomedical engineeringChemistryEngineeringGenetics

Abstract

fetched live from OpenAlex

To be applied in sufficient numbers for regenerative medicine, primary mesenchymal stem cells (MSCs) need to be amplified in culture. Standard cell culture involves regular passing because MSC proliferation in size-limited culture vessels stagnates due to contact inhibition of growth. The use of harmful enzymes for passaging and the mechanical properties of standard culture vessels change the MSC phenotype. Initially, fast growing multipotent and regenerative MSCs will turn into slowly growing cells with reduced multipotency and fibrotic character. We here describe an innovative culture system that maintains overall constant cell densities which are near-optimal for proliferation, while preventing contact-inhibition of cell growth. This is achieved by dynamically enlarging a novel highly elastic culture dish using a motorized mechanical device and adapting the culture surface to the increasing cell numbers. Dynamic MSC culture expansion reduces the number of enzymatic passages by a factor of 3 and delivers higher MSC yields than conventional culture. On the expanded culture surface, MSCs maintain stem cell characteristics and high growth rates over months and are still inducible to follow different lineages thereafter.

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)0.002
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: Methods · Consensus signal: Methods
Teacher disagreement score0.039
Threshold uncertainty score0.677

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.078
GPT teacher head0.453
Teacher spread0.375 · 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
GenreMethods

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

Citations28
Published2011
Admission routes2
Has abstractyes

Explore more

Same venueMethods in molecular biologySame topicMesenchymal stem cell researchFrench-language works237,207