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Record W2058299529 · doi:10.2217/nnm.11.23

Self-Assembled Multifunctional Nanoplexes for Gene Inhibitory Therapy

2011· article· en· W2058299529 on OpenAlex
Fereshteh Azari, Marinella G. Sandros, Maryam Tabrizian

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

VenueNanomedicine · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA Interference and Gene Delivery
Canadian institutionsMcGill University
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health Research
KeywordsInhibitory postsynaptic potentialGenetic enhancementGeneBiologyGeneticsNeuroscience

Abstract

fetched live from OpenAlex

AIM: To enhance the stability of siRNA while improving their therapeutic properties and visualization at the target site, a novel nanoplex system was developed. MATERIALS & METHODS: The designed nanoplex system involved functionalizing siRNA with near-infrared quantum dots and loading them into histidylated glycol chitosan (GC-His). RESULTS: Colocalization studies revealed a twofold increase in siRNA uptake after encapsulation with GC-His and nanoparticles were localized in cytoplasm, suggesting that histidine promoted their dissociation from the endosomal membranes. Furthermore, as opposed to siRNAs treated with commercial transfection reagent, siRNAs loaded within GC-His showed a marked reduction (64%) of MDM2 protein expression 24 h after transfection. CONCLUSION: These findings concur that GC-His/siRNA-quantum dot nanoplexes are promising multifunctional vehicles for gene inhibitory therapy.

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 score0.075
Threshold uncertainty score0.445

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 head0.030
GPT teacher head0.248
Teacher spread0.219 · 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