Bibliographic record
Abstract
The Liver X receptor (LXR) is a type II nuclear receptor that is known to be a master regulator of cholesterol levels in the body through its transcriptional control of target genes involved in the handling of cholesterol. The regulation of LXR occurs at multiple levels including ligand and protein availability, post-translational modifications, protein-protein interactions with various cofactors and/or chaperones and a new concept of regulation that involves compartmentalization. This involves the establishment of regions where proteins can be active or inactive. Type II nuclear receptors have recently been found to shuttle between the cytoplasm and the nucleus, thus a compartmentalization component is likely to be involved. It was recently implicated that the centrosome-associated protein 350 (CAP350) can sequester PPARa. into nuclear bodies, and to regions in the cytoplasm. The significance of this appears to be the control of PPAR action. CAP350 is a large protein that has the ability to interact with nuclear receptors via an LXXLL motif, and with the cytoskeleton via a CAP-Giy motif. CAP350 is suggested to play a role in the organization of nuclear receptors in the nucleus, and their retention in compartments. In this report, LXRa. was confirmed to interact with CAP350 in vitro, using a GST-binding assay. Utilizing fluorescent protein chimeras with both nuclear receptors and CAP350 allowed the monitoring of this interaction in vivo. CAP350 was observed to form nuclear bodies that were capable of recruiting LXRa.. This recruitment was dependant on the integrity of the LXXLL motif. The mutated LXXLL motif of CAP350 was not able to colocalize with LXRa.. The significance of this interaction remains unknown. It is likely to be similar to that observed with PPARa., since the nuclear bodies formed by CAP350 seem to correspond to transcriptionally silent regions in the nucleus.
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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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".