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Record W2088701980 · doi:10.1115/imece2002-32671

Enzymatic Digestion Technique Influences Regulatory Volume Decrease of Isolated Bovine Chondrocytes

2002· article· en· W2088701980 on OpenAlexaff
Paul A. Hulme, Simon Chi, Dominic Young, John R. Matyas, Neil A. Duncan

Bibliographic record

VenueAdvances in Bioengineering · 2002
Typearticle
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsChondrocyteOsmolyteChemistryHydrostatic pressureTonicityExtracellular matrixBiophysicsCell biologyExtracellularCartilageOsmotic pressureCellBiochemistryBiologyAnatomyIn vitro

Abstract

fetched live from OpenAlex

Cell volume regulation has been observed in almost all cell types examined to date. When cells are exposed to hypotonic solutions a quick increase in volume is followed by a more gradual return, termed regulatory volume decrease (RVD). The mechanism associated with RVD depends upon cell type and species, but in bovine chondrocytes the non-selective osmolyte channels are mainly responsible [1]. In a chondrocyte, volume control is critical for the maintenance of metabolism, and biosynthesis. Volume fluctuations can be due to changes in hydrostatic pressure, fluid flows, deformation, and extracellular matrix (ECM) hydration. Alterations in hydration can occur during static loading of articular cartilage or during the early stages of osteoarthritis [1], which have been correlated with changes in cellular metabolism. The swelling behaviour of chondrocytes, and the mechanism by which they sense and respond to changes in their physico-chemical environment, are not well understood [1]. To investigate the effects of osmotic environment on chondrocyte behaviour it is often beneficial to isolate cells from the ECM, which can be achieved by a variety of techniques. To investigate the effect of isolation technique on the swelling behaviour of bovine chondrocytes, two enzymatic digestion techniques were chosen for this study.

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 score0.136
Threshold uncertainty score0.571

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.007
GPT teacher head0.229
Teacher spread0.222 · 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
Published2002
Admission routes1
Has abstractyes

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