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
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".