Probing Cd<sup>2+</sup>-Stressed Live Cell Membrane Permeability with Various Redox Mediators in Scanning Electrochemical Microscopy
Bibliographic record
Abstract
Heavy metal cytotoxicity has become a mainstay in scientific research due to the vast range of detrimental effects on living organisms. Cd 2+ in particular can activate a wide range of physiological pathways that can cause significant increases in oxidative stress, cancer formation, or cellular death. This is partly due to its ability to bioaccumulate in the body with a long half-life for excretion. Here, we used hydrophilic redox mediators, ferrocenecarboxylate, 1′1-ferrocene dicarboxylate and hexaamineruthenium, as molecular probes in scanning electrochemical microscopy (SECM) to determine the membrane permeability in single live human bladder cancer (T24) cells affected by Cd 2+ . Hydrophilic and charged sensing agents should be impermeable to the cells. However, when T24 cells were treated with 25 μM Cd 2+ ( t ≤ 6 h), the membrane permeability to these sensing agents can be induced to approximately 7.0 × 10 –5 m/s. For acute mM Cd 2+ exposure, the membrane permeability can be induced to 2.0 × 10 –4 m/s within an hour. This increase in membrane permeability is indicative of the loss in membrane integrity, where species can now enter the cell through nonspecific diffusion channels, pore formation, or structural collapse of the membrane. Using the MTT proliferation assay, we were able to confirm that the low dosage Cd 2+ treatment had very minor effect on cellular viability, while the acute treatments decreased viability to 68%. Our SECM results coupled with the MTT assays show the sufficient permeation of these sensors and compromised cell viability. These findings by means of SECM demonstrate that hydrophilic redox mediators are ideal in sensing the effects of toxins, which may induce permeability through detrimental effects on the membrane integrity of the cells.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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".