RETRACTED ARTICLE: Phosphorylation of MNAR Promotes Estrogen Activation of Phosphatidylinositol 3-Kinase
Post-publication record
Source: Retraction Watch, joined by DOI. OpenAlex records retraction as is_retracted, a boolean over a state space with at least four values, so it cannot express an expression of concern, a correction or a reinstatement; it reports them as false, which reads as “fine”.
Bibliographic record
Abstract
Estrogen actions are mediated by a complex interface of direct control of gene expression (the so-called "genomic action") and by regulation of cell signaling/phosphorylation cascades, referred to as the "nongenomic," or extranuclear, action. We have previously described the identification of MNAR (modulator of nongenomic action of estrogen receptor) as a novel scaffold protein that regulates estrogen receptor alpha (ERalpha) activation of cSrc. In this study, we have investigated the role of MNAR in 17beta-estradiol (E2)-induced activation of the phosphatidylinositol 3-kinase (PI3K)/Akt pathway. Consistent with our previous results, a direct correlation was established between MNAR expression levels and E2-induced activation of PI3 and Akt kinases. Endogenous MNAR, ERalpha, cSrc, and p85, the regulatory subunit of PI3 kinase, interacted in MCF7 cells treated with E2. The interaction between p85 and MNAR required activation of cSrc and MNAR phosphorylation on Tyr 920. Consequently, the mutation of this tyrosine to alanine (Y920A) abrogated the interaction between MNAR and p85 and the E2-induced activation of the PI3K/Akt pathway, which was required for the E2-induced protection of MCF7 cells from apoptosis. Nonetheless, the Y920A mutant potentiated the E2-induced activation of the Src/MAPK pathway and MCF7 cell proliferation, as observed with the wild-type MNAR. These results provide new and important insights into the molecular mechanisms of E2-induced regulation of cell proliferation and apoptosis.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.057 | 0.028 |
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".