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Record W2101578637 · doi:10.2174/092986712803414141

Nonviral Approach for Targeted Nucleic Acid Delivery

2012· review· en· W2101578637 on OpenAlex

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

VenueCurrent Medicinal Chemistry · 2012
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA Interference and Gene Delivery
Canadian institutionsUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsGene deliveryNucleic acidTransfectionGenetic enhancementElectroporationCationic liposomeGene knockdownOligonucleotideDNAPlasmidBiologyChemistryMolecular biologyBiochemistryGene

Abstract

fetched live from OpenAlex

Despite their relatively lower efficiency, nonviral approaches are emerging as safer alternatives in gene therapy to viral vectors. Delivery of nucleic acids to the target site is an important factor for effective gene expression (plasmid DNA) or knockdown (siRNA) with minimal side effects. Direct deposition at the target site by physical methods, including ultrasound, electroporation and gene gun, is one approach for local delivery. For less accessible sites, the development of carriers that can home into the target tissue is required. Cationic peptides, lipoplexes, polyplexes and nanoplexes have been used as carriers for delivery of nucleic acids. Targeting ligands, such as cell targeting peptides, have also been applied to decorate delivery vehicles in order to enhance their efficacy. This review focuses on delivery strategies and recent progress in non-viral carriers and their modifications to improve their performance in targeting and transfection.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.973
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.063
GPT teacher head0.330
Teacher spread0.267 · 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