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Record W1981517535 · doi:10.1039/c2jm15277k

Reducible self-assembled micelles for enhanced intracellular delivery of doxorubicin

2012· article· en· W1981517535 on OpenAlexafffund
Jun Chen, Fatemeh Zehtabi, Jun Ouyang, Jiming Kong, Wen Zhong, Malcolm Xing

Bibliographic record

VenueJournal of Materials Chemistry · 2012
Typearticle
Languageen
FieldMaterials Science
TopicNanoparticle-Based Drug Delivery
Canadian institutionsHealth CanadaChildren's Hospital Research Institute of ManitobaUniversity of Manitoba
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMicelleDoxorubicinIntracellularEthylene glycolDrug deliveryBiophysicsChemistryDithiothreitolInternalizationCytotoxicityCopolymerAmphiphileCombinatorial chemistryConfocal microscopyIn vitroMaterials scienceOrganic chemistryBiochemistryCellAqueous solutionCell biologyBiologyPolymer

Abstract

fetched live from OpenAlex

This study developed novel reducible micelles that are approximately 100 nm in diameter and consist of poly(β-amino ester)-graft-poly(ethylene glycol) amphiphilic copolymers (PAE) with phenylbutylamine functional side groups. Our report is unique in the following ways: (1) the reductively degradable micelles provide a safe and efficient doxorubicin intracellular delivery, (2) the synthesis procedure is a simple and mild pathway with a well-defined structure, and (3) the aromatic phenylbutylamine side groups increase hydrophobicity and strengthen the interaction with doxorubicin (DOX) to improve the drug-loading capability. In vitro, micelles exhibit faster release of DOX upon the action of dithiothreitol (DTT). Drug-laden micelles present higher cell inhibition efficiency in comparison to free doxorubicin, while the blank micelles show very low cytotoxicity. The copolymeric micelles show a rapid internalization and efficient cytoplasmic doxorubicin release in both human hepatocellular carcinoma HepG2 and human breast adenocarcinoma MCF-7 cell lines observed by confocal laser scanning microscopy (CLSM). The micelle is promising for enhanced intracellular drug delivery in tumour cells.

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)0.002
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 score0.009
Threshold uncertainty score0.879

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.011
GPT teacher head0.237
Teacher spread0.226 · 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.

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

Citations43
Published2012
Admission routes2
Has abstractyes

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