Intracellular Microenvironment‐Responsive Dendrimer‐Like Mesoporous Nanohybrids for Traceable, Effective, and Safe Gene Delivery
Bibliographic record
Abstract
In order to create advanced functional nanocarriers for efficient gene therapy, novel intracellular microenvironment‐sensitive fluorescence label‐free nanostructured dendrimer‐like silica hybrid nanocarriers are developed for traceable, effective, and safe gene delivery. Dendrimer‐like mesoporous silica nanoparticles (DMSNs) with center‐radial large pores are covalently modified with short polyethyleneimine (PEI) for efficient gene loading and binding. Autofluorescent and biodegradable PEI (AC‐PEI) responsive to the intracellular microenvironment are then coated on the gene‐loaded nanoparticles for inhibiting gene leakage from the carriers. Moreover, AC‐PEI coating not only endows intracellular microenvironment‐responsive gene release property, but also allows monitoring the gene delivery process in the absence of external labelling, owing to the pH‐ and GSH‐responsive autofluorescence and biodegradability of AC‐PEI. The resultant nanocarriers show high gene loading capacity, low cytotoxicity, stimuli‐responsive gene release, label‐free, and simultaneous fluorescence tracking, and high gene silencing capability. Thus, these developed nanocarriers hold substantial and promising potential as effective and safe gene‐delivery carriers for future scientific investigation and practical implications in gene therapy.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".