Novel use of the fluorescent dye 5‐(and‐6)‐chloromethyl SNARF‐1 acetate for the measurement of intracellular glutathione in leukemic cells and primary lymphocytes
Bibliographic record
Abstract
Glutathione (GSH) plays an important role in protecting cells against injury, particularly during oxidative stress. Alterations in GSH metabolism are becoming the focus of attention in many diseases such as cancer, neurodegeneration, and AIDS. As such, a rapid assessment of GSH levels in a clinical setting is of increasing importance. We tested the efficacy of the thiol-labeling fluorescent dye CM-SNARF in its ability to measure variations in GSH concentration using a visible-light flow cytometer. GSH levels in I83, Jurkat, and primary lymphocytes were depleted with buthionine sulfoximine (BSO) or diamide, or increased with N-acetylcysteine (NAC). Following each treatment, cells were divided and either labeled with CM-SNARF followed by flow cytometry analysis, or assayed for GSH using a biochemical method. BSO treatment caused a maximal 87-90% decrease in GSH and 68-76% decrease in fluorescence units. Diamide depleted GSH 91-95%, corresponding to a fluorescence decrease of 85-88%. NAC treatment increased GSH levels 27% and fluorescence 12-19%. The overall correlation (R2) between mean GSH concentration and mean fluorescence was 0.80-0.88. CM-SNARF can be used to semi-quantitatively and rapidly determine intracellular variations in GSH concentration in the range of 10-150 nmoles GSH/mg protein.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".