Fyn and p38 Signaling Are Both Required for Maximal Hypertonic Activation of the Osmotic Response Element-binding Protein/Tonicity-responsive Enhancer-binding Protein (OREBP/TonEBP)
Bibliographic record
Abstract
When cells are challenged by hyperosmotic stress, one of the crucial adaptive responses is the expression of osmoprotective genes that are responsible for raising the intracellular level of compatible osmolytes such as sorbitol, betaine, and myo-inositol. This is achieved by the activation of the transcription factor called OREBP (also known as TonEBP or NFAT5) that specifically binds to the osmotic response element (ORE) or tonicity-responsive enhancer that enhances the transcription of these genes. Here we show that p38, a subgroup of the mitogen-activated kinases activated by hypertonic stress, and Fyn, a shrinkage-activated tyrosine kinase, are both involved in the hypertonic activation of OREBP/TonEBP. Inhibition of p38 by SB203580 or by the dominant negative p38 mutant partially blocked the hypertonic induction of ORE reporter (reporter gene regulated by ORE). Similarly, hypertonic activation of ORE reporter was partially blocked by pharmacological inhibition of Fyn or by a dominant negative Fyn and was attenuated in Fyn-deficient cells. Importantly, inhibiting p38 in Fyn-deficient cells almost completely abolished the hypertonic induction of ORE reporter activity, indicating that p38 and Fyn are the major signaling pathways for the hypertonic activation of OREBP/TonEBP. Further we show that the transactivation domain of OREBP/TonEBP is the target of p38- and Fyn-mediated hypertonic activation. These results indicate a dual control in regulating the expression of the osmoprotective genes in mammalian cells.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".