Nanodimension artificial cells containing a nanobiotechnological complex of polyhemoglobin-tyrosinase for enzyme therapy of tyrosine-depending tumours
Bibliographic record
Abstract
Artificial cells bioencapsulated enzymes have been developed for different medical applications. Research in this thesis is to further extend this using a novel combination of two nanobiotechnological methods. Biodegradable nanodimension artificial cells are used to enclose a nanobiotechnological complex of polyhemoglobin-tyrosinase. We then investigated this in melanoma and prostate cancer since both of these require higher level of tyrosine for growth and metastasis. Biodegradable nanodimension artificial cell containing nanobiotechnological complex of polyhemoglobin-tyrosinase was first characterized including its ability to remove tyrosine. Then, we first analyzed its effect on melanoma using B16F10 murine cell line. Results indicated that it was effective in inhibiting tumor proliferation, attachment and colonization. To further understand the therapeutic mechanism, we studied and determined its effects on cell cycle, apoptosis and ROS generation. Furthermore, we developed a 3D cell culture system that is closer to the in vivo system, thus allowing us to confirm the effects and verify the suitable dose for the animal study. In the following in vivo research, the tumor-bearing mice model was established based on B16F10 cells injection, and results showed the artificial cellâ effectiveness in suppressing the growth of melanoma. Besides, we analyzed the effects of the different components of this system. By itself the soluble nanobiotechnological polyhemoglobin-tyrosinase was not effective because it could not be retained to stay longer locally. Similarly, the vehicle, biodegradable nanodimension artificial cell without any content, also did not show effect since its function is to act as a carrier to retain the complex locally. Another component, biodegradable nanodimension artificial cell containing only polyhemoglobin without tyrosinase, has some but less effect as shown in both in vitro and in vivo studies. Biodegradable nanodimension artificial cell with all its components was the most effective. Finally, we also verified its effect on the prostate cancer PC3 cell culture with similar results as for melanoma.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".