Chemical cytometry for monitoring metabolism of a Ras‐mimicking substrate in single cells
Bibliographic record
Abstract
BACKGROUND: Chemical cytometry is an emerging technology that analyzes chemical contents of single cells by means of capillary electrophoresis or capillary chromatography. It has a potential to become an indispensable tool in analyses of heterogeneous cell populations such as those in tumors. Ras oncogenes are found in 30% of human cancers. To become fully functional products, oncogenic Ras proteins require at least three posttranslational modifications: farnesylation, endoproteolysis, and carboxyl-methylation. Therefore, enzymes that catalyze the three reactions, farnesyltransferase (FTase), endoprotease (EPase), and methyltransferase (MTase), are considered highly attractive therapeutic targets. In this work, we used chemical cytometry to study the metabolism of a pentapeptide substrate that can mimic Ras proteins with respect to their posttranslational modifications in solution. METHODS: Mouse mammary gland tumor cells (4T1) and mouse embryo fibroblasts (NIH3T3) were incubated with a fluorescently labeled pentapeptide substrate, 2',7'-difluorofluorescein-5-carboxyl-Gly-Cys-Val-Ilu-Ala. Cells were washed from the substrate and resuspended in phosphate buffered saline. Uptake of the substrate by the cells was monitored by laser scanning confocal microscopy. Single cells were injected into the capillary, lysed, and subjected to capillary electrophoresis. Fluorescent metabolic products were detected by laser-induced fluorescence and compared with products obtained by the conversion of the substrate by FTase, EPase, and MTase in solution. Co-sampling of single cells with the in-vitro products was used for such comparison. RESULTS: Confocal microscopy data showed that the substrate permeated the plasma membrane and clustered in the cytoplasm. Further capillary electrophoresis and chemical cytometry analyses showed that the substrate was converted into three fluorescently labeled products, two of which were secreted in the culture medium and one remained in the cells. The intracellular product was present at approximately 100,000 molecules per cell. The three metabolic products of the substrate were found to be different from the products of its processing by FTase, EPase, and MTase in solution. CONCLUSIONS: This is the first report of chemical cytometry in the context of Ras-signaling studies. The chemical cytometry method used in this work will find applications in the development of suitable peptide substrates for monitoring enzyme activities in single cells.
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.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".