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Record W1757777495 · doi:10.1021/acsami.5b07185

Studying Different Binding and Intracellular Delivery Efficiency of ssDNA Single-Walled Carbon Nanotubes and Their Effects on LC3-Related Autophagy in Renal Mesangial Cells via miRNA-382

2015· article· en· W1757777495 on OpenAlexafffund
Guobao Wang, Tingting Zhao, Leyu Wang, Bianxiang Hu, Ali Darabi, Jiansheng Lin, Malcolm Xing, Xiaozhong Qiu

Bibliographic record

VenueACS Applied Materials & Interfaces · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA Interference and Gene Delivery
Canadian institutionsUniversity of ManitobaChildren's Hospital Research Institute of Manitoba
FundersCanadian Institutes of Health ResearchNatural Sciences and Engineering Research Council of CanadaNatural Science Foundation of Guangdong ProvinceNational Natural Science Foundation of ChinaNational Science Foundation
KeywordsOligonucleotideAutophagyCarbon nanotubemicroRNAMaterials scienceApoptosisTransfectionIntracellularCell biologyDNABiophysicsNanotechnologyBiologyGeneBiochemistry

Abstract

fetched live from OpenAlex

Single-walled carbon nanotubes (SWCNTs) have been used to deliver single-stranded (ssDNA). ssDNA in oligonucleotide can act as an inhibitor of microRNA to regulate cellular functions. However, these ssDNA are difficult to bind carbon nanotubes with low transferring efficiency to cells. To this end, we designed ssDNA with regulatory and functional units to form ssDNA-SWCNT hybrids to study their binding effects and transferring efficiency. The functional unit on ssDNA mimics the inhibitor (MI) of miRNA-382, which plays a crucial role in the progress of many diseases such as renal interstitial fibrosis. After verification of overexpression of miRNA-382 in a coculture system, we designed oligonucleotide sequences (GCG)5-MI, (TAT)5-MI, and N23-MI as regulatory units added to the 5'-terminal end of the functional DNA fragment, respectively. These regulatory units lead to different secondary structures and thus exhibit different affinity ability to SWCNTs, and finally decide their deliver efficacy to cells. Autophagy, apoptosis and necrosis were observed in renal mesangial 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)0.000
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 score0.002
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 head0.011
GPT teacher head0.205
Teacher spread0.194 · 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

Citations19
Published2015
Admission routes2
Has abstractyes

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