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Record W4226210513 · doi:10.18103/mra.v10i3.2692

A preliminary comparison of two different polyacrylamide hydrogel fabrication methods demonstrate differences in stiffness measurements and adhesion abilities of osteosarcoma cells

2022· article· en· W4226210513 on OpenAlex
Anita K. Luu, Rachel Macdonald, Richard Parg, John Dutcher, Alicia Petit

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

VenueMedical Research Archives · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCellular Mechanics and Interactions
Canadian institutionsUniversity of Guelph
FundersOVC Pet TrustNatural Sciences and Engineering Research Council of Canada
KeywordsStiffnessSelf-healing hydrogelsMechanotransductionFabricationBiomedical engineeringMaterials sciencePolyacrylamideAdhesionNanotechnologyComposite materialModulusChemistryPolymer chemistryMedicinePathology

Abstract

fetched live from OpenAlex

The purpose of this research was to compare two different polyacrylamide hydrogel fabrication methods described in the literature and assess their use in mechanotransduction studies in osteosarcoma. Both methods employ succinimide chemistry to functionalize the hydrogel surface for cell response studies, one in the form of NHS, while the other in the form of Sulfo-SANPAH. Six hydrogels of two different stiffness were created for each method and were evaluated on their receptiveness to cell seeding and Young’s moduli with atomic force microscopy. Both hydrogel fabrication methods lack reproducibility as significant differences were observed in stiffness measurements between six hydrogels at both 0.5 kPa and 50 kPa stiffnesses. Despite the Sulfo- SANPAH method of preparation being more receptive to cell seeding and generating the expected effects on known mechanotransducers, it appeared to have larger variabilities in stiffness measurements for both 0.5 kPa and 50 kPa prepared hydrogels. Researchers may employ the Sulfo-SANPAH method to study the impact of ECM of varying stiffness on osteosarcoma cell mechanotransduction, but should remain cautious when interpreting results as a function of the expected stiffness. Studies should be accompanied by measurements of Young's modulus whenever possible.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.088
Threshold uncertainty score0.346

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0000.001
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 head0.086
GPT teacher head0.409
Teacher spread0.324 · 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