The Effects of Dexamethasone on Estrogen Cell Signaling Pathways in the mHippoE-14 Cell Line & Female Rats
Bibliographic record
Abstract
Previous research in our lab has demonstrated alterations in molecular markers of hippocampal structure and function in response to stress, including DUSP6 expression, as well as ERK and JNK phosphorylation (Nicholson 2019, Craig 2021, Pacosz 2021). To further characterize JNK phosphorylation, ERK phosphorylation, and DUSP6 expression we ran two experiments, one in the mHippoE-14 cell line, and one in cycling female rats in metestrus. A significant downregulation of p54 JNK phosphorylation was found in the mHippoE-14 cell line in response to the combination of 17β-estradiol (E2) pretreatment and dexamethasone treatment, although no significant effects were found in the cycling female rats. Altogether, the data from this thesis suggests that circulating levels of E2 in metestrus are not sufficient to reverse or attenuate glucocorticoid induced effects on DUSP6 expression, ERK phosphorylation, and JNK phosphorylation.
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 | 0.001 | 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".