Basal and Src kinase‐mediated activation of the EphA2 promoter requires a cAMP‐responsive element but is CREB‐independent
Bibliographic record
Abstract
We have previously identified the EphA2 receptor tyrosine kinase as a potentially important injury-responsive gene and a transcriptional target of Src kinase activity in renal ischemia-reperfusion injury (IRI). In the present study, we confirmed, using EphA2 gene trap mice that the endogenous EphA2 promoter is strongly activated following renal IRI. We also examined in more detail the mechanisms responsible for Src kinase-induced activation of the -2 kb human EphA2 promoter and found that the minimal Src-responsive elements were contained in the -145 to +137 region of the human EphA2 gene. This region contains a canonical cAMP-responsive element (CRE) that we found to be critical for both basal and Src kinase-induced transcriptional activity. However, despite activation of the prototypical CRE-binding factor CREB by the Src kinase Fyn, siRNA-mediated knockdown of CREB had no significant impact on either basal or Fyn-induced EphA2 promoter activity. Similarly, activation of CREB by the adenylate cyclase agonist forskolin failed to induce EphA2 promoter activation. Thus, Src kinase-induced activation of the EphA2 promoter is CRE-dependent but CREB-independent.
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 | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".