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Spheroid and Tissue Assembly via Click Chemistry in Microfluidic Flow

2015· article· en· W1135359073 on OpenAlexafffund
Paul J. O’Brien, Wei Luo, Dmitry Rogozhnikov, Muhammad N. Yousaf

Bibliographic record

VenueBioconjugate Chemistry · 2015
Typearticle
Languageen
FieldEngineering
Topic3D Printing in Biomedical Research
Canadian institutionsYork University
FundersNatural Sciences and Engineering Research Council of CanadaCanada Foundation for Innovation
KeywordsMicrofluidicsSpheroidChemistryClick chemistryTissue engineeringCellNanotechnologyBiophysicsIn vitroBiomedical engineeringCombinatorial chemistryBiochemistryBiologyMaterials science

Abstract

fetched live from OpenAlex

Proper cell-cell contact and communication are essential for the correct development and survival of higher order organisms. In order to study complex cell interactions that occur in vivo, model systems that are able to recapitulate 3D cell-cell interactions in vitro are key to advancing new biotechnologies, therapeutics, and tissue engineering applications. Herein, we show a new strategy to rapidly and efficiently generate complex multiple cell line containing spheroids and tissues in microfluidic flow without the use of scaffolds, molecular biology, or metabolic biosynthesis. The method relies on the integration of microfluidics, liposome fusion, bio-orthogonal chemistry, and cell surface engineering to rapidly click coculture cell assemblies in flow. We demonstrate this strategy by assembling various combinations of cell types with an interfacial cell to cell click chemistry in microfluidic flow to generate a range of spheroid types and oriented tissue multilayers.

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 categoriesMeta-epidemiology (narrow)
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 score0.033
Threshold uncertainty score1.000

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 head0.017
GPT teacher head0.254
Teacher spread0.237 · 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

Citations48
Published2015
Admission routes2
Has abstractyes

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