Cell lysis with dimethyl sulphoxide produces stable homogeneous solutions in the dichlorofluorescein oxidative stress assay
Bibliographic record
Abstract
The oxidation of 2',7'-dichlorodihydrofluorescein (2',7'-dichlorofluorescin, DCFH) to a fluorescent product, 2',7'-dichlorofluorescein (DCF), is commonly used to quantitatively measure oxidative stress in cells using a fluorescence microplate reader. However, many cell lines tend to grow non-uniformly in the wells. This non-uniform distribution results in a high degree of variability in the fluorescence signal and decreases the precision of the method. Also, samples treated in large culture plates, dishes or flasks cannot be assayed directly in fluorescence microplate readers. This study reports an improved DCF assay method that lyses cells with DMSO/PBS (90% dimethyl sulphoxide/10% phosphate buffered saline). Oxidative stress was induced with either hydrogen peroxide or an hypoxia-reoxygenation treatment. Cell lysis with DMSO/PBS resulted in highly stable fluorescence signals in comparison to Triton X-100/PBS lysed cells. The precision of DCF fluorescence measurements of DMSO/PBS lysed cells was much better than for attached cells measured directly in 96-well plates. While DCF fluorescence in PBS was strongly quenched by albumin, no quenching occurred in DMSO/PBS. In conclusion this study describes a more convenient and accurate method for measuring cellular oxidative stress that also makes it possible to assay cells treated in large culture plates.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".