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Record W2913906616 · doi:10.1021/acsami.8b18790

Minimalist Design of a Stimuli-Responsive Spherical Nucleic Acid for Conditional Delivery of Oligonucleotide Therapeutics

2019· article· en· W2913906616 on OpenAlexafffund
Hassan H. Fakih, Johans Fakhoury, Danny Bousmail, Hanadi F. Sleiman

Bibliographic record

VenueACS Applied Materials & Interfaces · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdvanced biosensing and bioanalysis techniques
Canadian institutionsMcGill University
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research ChairsCanadian Institutes of Health ResearchCancer Research SocietyResearch Corporation for Science Advancement
KeywordsOligonucleotideNucleic acidGene silencingDNAMaterials scienceDrug deliveryDispersityNanotechnologyBiophysicsCombinatorial chemistryBiologyGeneBiochemistryChemistry

Abstract

fetched live from OpenAlex

In this work, we report a component-minimal spherical nucleic acid (SNA) from monodisperse DNA-polymer conjugates that can load and release nucleic acid therapeutics in a stimuli-responsive manner. We show that this vehicle assembles from only four strands, and conditional release of its antisense therapeutic cargo can be induced upon recognition of specific oligonucleotide triggers via strand displacement. The latter (triggers) may be a microRNA that offers additional synergistic therapy, in addition to the previously shown ability of the SNA to load hydrophobic drugs. The SNA is easy to prepare, has dynamic character, releases its cargo only upon the presence of both triggers, and can survive biological conditions while protecting its cargo. The gene silencing potency of the cargo was tested in live cells and shown to be suppressed when loaded in the SNA, and its activity was restored only upon release with the two triggers. This vehicle has the essential characteristics of versatility, ease of synthesis, low cost, highly responsive behavior, and ability to support combination therapies, making it a promising candidate for cell-selective drug delivery and clinical transition.

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 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 score0.019
Threshold uncertainty score0.626

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 head0.020
GPT teacher head0.280
Teacher spread0.261 · 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

Citations37
Published2019
Admission routes2
Has abstractyes

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