Replenishment of RANTES mRNA expression in activated eosinophils fromatopic asthmatics
Bibliographic record
Abstract
Eosinophils have been shown to express the gene encoding regulated upon activation, normal T-cell expressed and secreted (RANTES), a potent eosinophilotactic chemokine. RANTES protein expression in eosinophils has previously been shown to be up-regulated by a number of agonists, including complement-dependent factors (C3b/iC3b) and interferon-gamma (IFN-gamma). We hypothesized that gene expression of RANTES is regulated in these cells by eosinophil-specific agonists. We analysed RANTES mRNA expression by reverse-transcription polymerase chain reaction (RT-PCR) in human peripheral blood eosinophils obtained from mild atopic asthmatics following stimulation over time. In resting eosinophils, a low level of RANTES mRNA was found to be constitutively expressed in all the atopic donors tested in this study (n = 6). Following stimulation with C3b/iC3b (serum-coated surfaces), eosinophils released measurable levels of RANTES, while sustained transcript expression was detected for up to 24 hr of stimulation. In contrast, IFN-gamma (5 ng/ml) transiently and significantly (P<0.05, n = 3) depleted relative amounts of RANTES PCR product (compared with beta2-microglobulin) after 1-4 hr of stimulation. RANTES transcript was again detectable after 24 hr of IFN-gamma incubation, suggesting that the pool of RANTES mRNA had been replenished. Other eosinophil-active cytokines, interleukin-3 (IL-3), IL-4, IL-5 and granulocyte-macrophage colony-stimulating factor, did not appear to modulate RANTES mRNA expression after 1 hr of incubation. The effect of IFN-gamma on RANTES mRNA was reversed by cycloheximide, suggesting that IFN-gamma may act by increasing the rate of translation of RANTES mRNA. These findings indicate that IFN-gamma may induce a rapid and transient effect on the translation and replenishment of RANTES mRNA in eosinophils. This novel observation supports the notion that eosinophils have the potential to replenish their stored and released bioactive proteins.
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 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) | 0.001 | 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 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".