Covalent Binding of Nanoliposomes to the Surface of Magnetotactic Bacteria for the Synthesis of Self-Propelled Therapeutic Agents
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.
Bibliographic record
Abstract
The targeted and effective delivery of therapeutic agents remains an unmet goal in the field of controlled release systems. Magnetococcus marinus MC-1 magnetotactic bacteria (MTB) are investigated as potential therapeutic carriers. By combining directional magnetotaxis-microaerophilic control of these self-propelled agents, a larger amount of therapeutics can be delivered surpassing the diffusion limits of large drug molecules toward hard-to-treat hypoxic regions in solid tumors. The potential benefits of these carriers emphasize the need to develop an adequate method to attach therapeutic cargos, such as drug-loaded nanoliposomes, without substantially affecting the cell's ability to act as delivery agents. In this study, we report on a strategy for the attachment of liposomes to MTB (MTB-LP) through carbodiimide chemistry. The attachment efficacy, motility, and magnetic response of the MTB-LP were investigated. Results confirm that a substantial number of nanoliposomes (∼70) are efficiently linked with MTB without compromising functionality and motility. Cytotoxicity assays using three different cell types (J774, NIH/3T3, and Colo205) reveal that liposomal attachments to MTB formulation improve the biocompatibility of MTB, whereas attachment does not interfere with liposomal uptake.
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 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 it