A zinc finger HIT domain‐containing protein, ZNHIT‐1, interacts with orphan nuclear hormone receptor Rev‐erbβ and removes Rev‐erbβ‐induced inhibition of <i>apoCIII</i> transcription
Bibliographic record
Abstract
The orphan receptors, Rev-erbalpha and Rev-erbbeta, are members of the nuclear receptor superfamily and specifically repress apolipoprotein CIII (apoCIII) gene expression in rats and humans. Moreover, Rev-erbalpha null mutant mice have elevated very low density lipoprotein triacylglycerol and apoCIII levels. However, ligands for Rev-erb are unknown and the regulatory mechanism of Rev-erb is poorly understood. Conceivably, cofactors for Rev-erb may play an important role in the regulation of lipid metabolism. In this study, a zinc finger HIT domain-containing protein, ZNHIT-1, interacted with Rev-erbbeta. ZNHIT-1 was found to be a conserved protein in eukaryotes and was highly abundant in human liver. Furthermore, ZNHIT-1 was identified as a nuclear protein. Serial truncated fragments and substitution mutations established a putative nuclear localization signal at amino acids 38-47 of ZNHIT-1. A putative ligand-binding domain of Rev-erbbeta and the FxxLL motif of ZNHIT-1 were required for their interaction. Finally, ZNHIT-1 was recruited by Rev-erbbeta to the apoCIII promoter and removed the Rev-erbbeta-induced inhibition of apoCIII transcription. These findings demonstrate that ZNHIT-1 functions as a cofactor to regulate the activity of Rev-erbbeta, and may play a role in lipid metabolism.
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 | 0.000 | 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) | 0.001 | 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".