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Record W2031371305 · doi:10.1002/jbm.a.31580

Cell adhesion resistance mechanisms using arrays of dextran‐derivative layers

2007· article· en· W2031371305 on OpenAlexaff
Emmanuelle Monchaux, Patrick Vermette

Bibliographic record

VenueJournal of Biomedical Materials Research Part A · 2007
Typearticle
Languageen
FieldMaterials Science
TopicPolymer Surface Interaction Studies
Canadian institutionsHealth and Social Services Centre University Institute of Geriatrics of SherbrookeUniversité de Sherbrooke
Fundersnot available
KeywordsMaterials scienceAdhesionCell adhesionFibronectinCytoskeletonLayer (electronics)Ethylene glycolBiophysicsCellExtracellular matrixSubstrate (aquarium)DextranMatrix (chemical analysis)NanotechnologyChemical engineeringCell biologyComposite materialChemistryBiochemistryBiology

Abstract

fetched live from OpenAlex

To control interactions at the cell-material interface, low-fouling polymer coatings are used to prevent nonspecific interactions. Subsequent biosignals may be grafted on these low-fouling layers to induce specific biological responses. A polymer array technology was developed to study structural diversity of carboxy-methyl-dextran (CMD) grafted layers in connection with their cell repulsion ability. Arrays of CMD layers were exposed to fibroblasts to screen for cell resistant layers according to the immobilization conditions used to produce these surfaces. Cell cytoskeleton and fibronectin matrix deposition and reorganization were labeled in short-term (4 and 12 h) and long-term (3 days of cell confluence) cell adhesion assays. Results suggest that CMD layers that were resistant to cell adhesion were dense, flexible, and presented a regular (i.e., defect-free) hydrated surface. Cell-resistant CMD layers prevented cell matrix deposition and assembly, affecting cell-substrate adhesion and cytoskeletal organization. Finally, an optimized CMD layer was chosen and proved to be as resistant as a poly(ethylene glycol) layer.

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)0.017
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.016
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0170.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.096
GPT teacher head0.402
Teacher spread0.306 · 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.

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

Citations23
Published2007
Admission routes1
Has abstractyes

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Same venueJournal of Biomedical Materials Research Part ASame topicPolymer Surface Interaction StudiesFrench-language works237,207