The Ets Factor Etv1 Interacts with Tpit Protein for Pituitary Pro-opiomelanocortin (POMC) Gene Transcription
Bibliographic record
Abstract
Pro-opiomelanocortin (POMC) is expressed in two lineages of the pituitary, the anterior lobe corticotrophs and the intermediate lobe melanotrophs. POMC expression in these two lineages is highly dependent on the cell-restricted transcription factor Tpit. As Tpit intervenes relatively late in differentiation of those lineages, we have been searching for other transcription factors that may participate in their gene expression program. On the basis of similarity with the Tpit expression profile, we identified Ets variant gene 1 (Etv1/Er81) as a putative POMC transcription factor. Using Etv1-lacZ knockin mice, we describe preferential Etv1 expression in pituitary POMC cells and also in posterior lobe pituicytes. We further show that Etv1 enhances POMC transcription on its own and in synergy with Tpit. The Ets-binding site located within the Tpit/Pitx regulatory element is necessary for Etv1 activity in POMC-expressing AtT-20 cells but dispensable for synergy with Tpit. Etv1 and Tpit interact together in coimmunoprecipitation experiments. Furthermore, Etv1 is present at the POMC promoter, and siRNA-mediated knockdown of Etv1 in AtT-20 cells produces a significant decrease in POMC expression. Etv1 knockout pituitaries show normal POMC cell distribution and normal POMC mRNA abundance, suggesting compensation by other factors. The coordinate expression of Etv1 with POMC cell differentiation and its interaction with the highly cell-restricted Tpit factor indicate that Etv1 participates in a combinatorial code for pituitary cell-specific gene expression.
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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) | 0.000 | 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 | 0.001 |
| 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".