Nuclear Receptor Coregulator (NRC): Mapping of the Dimerization Domain, Activation of p53 and STAT-2, and Identification of the Activation Domain AD2 Necessary for Nuclear Receptor Signaling
Bibliographic record
Abstract
Nuclear receptor coregulator (NRC) is a 250-kDa nuclear protein involved in transcriptional activation of nuclear hormone receptors, nuclear factor-kappaB, c-Jun, c-Fos, and cAMP response element-binding protein. NRC is organized into a modular structure consisting of two activation domains (AD1 and AD2), two nuclear hormone receptor-interacting motifs, LxxLL-1 and LxxLL-2, and a C-terminal regulatory region rich in serines, threonines, and leucines. The LxxLL-1 motif of NRC binds to a broad spectrum of nuclear hormone receptors with high affinity whereas LxxLL-2 interacts with a very limited number of receptors. In this study we present further evidence that NRC can act as a dimer and have identified a dimerization region of 146 amino acids including LxxLL-1. Mutation of the core LxxLL-1 motif, however, indicates that it is not involved in the dimerization of NRC. AD2, just C-terminal of LxxLL-1, was found to play a central role in ligand-dependent activation by nuclear receptors even though AD1 exhibits more potent intrinsic activity. Thus, a short region of approximately 300 amino acids including and flanking LxxLL-1 plays an important role in NRC dimerization and nuclear receptor binding and transcriptional activation. In addition, consistent with its role as a cointegrator for transcriptional activation, NRC also functions as a coactivator for signal transducer and activator of transcription 2 (STAT-2) and p53. Activation of p53 by NRC appears to involve a novel mechanism where NRC interacts indirectly with p53 through Trap80, a member of the mediator complex, which binds NRC interacting factor-1 (NIF-1), which interacts with and potentiates the effect of NRC.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".