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Record W4221089794 · doi:10.1016/j.xpro.2022.101233

PDMS hydrogel-coated tissue culture plates for studying the impact of substrate stiffness on dendritic cell function

2022· article· en· W4221089794 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.

Bibliographic record

VenueSTAR Protocols · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCellular Mechanics and Interactions
Canadian institutionsUniversity of TorontoUniversity Health NetworkToronto General HospitalUniversity of Alberta
FundersNational Institute on Aging
KeywordsSelf-healing hydrogelsMechanosensitive channelsPolydimethylsiloxaneSubstrate (aquarium)StiffnessCD11cMaterials scienceFunction (biology)Cell functionNanotechnologyCellCell biologyChemistryComposite materialBiologyPolymer chemistry

Abstract

fetched live from OpenAlex

The mechanical properties of polydimethylsiloxane hydrogels can be tuned to mimic physiological tensions, an underappreciated environmental parameter in immunology studies. We describe a workflow to prepare PDMS-coated tissue culture plates with biologically relevant substrate stiffness, and the use of these hydrogel plates to condition isolated primary splenic CD11c+ dendritic cells (DC). Finally, we suggest downstream applications to study the impact of substrate stiffness on DC function and metabolism. The protocol could be adapted to study other mechanosensitive immune cell subsets. For complete details on the use and execution of this protocol, please refer to Chakraborty et al. (2021).

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 score0.032
Threshold uncertainty score0.394

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 head0.025
GPT teacher head0.319
Teacher spread0.294 · 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