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Record W2053546035 · doi:10.3109/03008200109016838

Dermal Fibroblast Morphology is Affected by Stretching and not by C48/80

2001· article· en· W2053546035 on OpenAlexaff
Hélène Martel, David C. Walker, Rolf K. Reed, Joel L. Bert

Bibliographic record

VenueConnective Tissue Research · 2001
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCellular Mechanics and Interactions
Canadian institutionsSt. Paul's HospitalUniversity of British Columbia
Fundersnot available
KeywordsFibroblastCytoplasmMorphology (biology)AnatomyTransmission electron microscopyChemistryBiophysicsPathologyCell biologyBiologyMedicineIn vitroMaterials scienceNanotechnologyBiochemistry

Abstract

fetched live from OpenAlex

Both stretching and C48/80 have been hypothesized to cause disruption of cell-matrix adhesions and thereby affect the dynamics of fluid balance in tissues. We investigated the effect of sinusoidal stretching and/or C48/80 on the morphology of fibroblasts in skin excised from the backs of Wistar-Möller rats in order to assess how these stimuli affect cellular interactions in tissues. Tissue samples were either soaked in Krebs' buffer with and without C48/80, or sinusoidally stretched (20% strain) in buffer with and without C48/80. Control skin was fixed immediately after excision. All tissues were processed for transmission electron microscopy. Morphometric analyses demonstrated that sinusoidal stretching of the skin results in the retraction or disruption of fibroblast cytoplasmic extensions, rounding up of the cell bodies and subsequently in increased tissue water content. C48/80 had no apparent effect on fibroblast morphology and adherence in tissues.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.005

Distilled classifier scores by category (both heads)

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)0.0020.000

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 head0.029
GPT teacher head0.354
Teacher spread0.325 · 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

Citations13
Published2001
Admission routes1
Has abstractyes

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