Identification of Additional Dimerization Partners of FIAT, the Factor Inhibiting ATF4‐Mediated Transcription
Bibliographic record
Abstract
FIAT is a leucine zipper protein whose name was coined for its interaction with ATF4 and the subsequent blockage of ATF4-directed osteocalcin gene transcription. FIAT is a nuclear protein that lacks a basic DNA-binding domain but contains three identifiable leucine zipper domains. FIAT heterodimerizes with ATF4 through one of these zippers and thereby prohibits ATF4 from binding to its cognate DNA sequence. We tested whether FIAT also interacts with additional basic domain-leucine zipper transcriptional regulators of osteoblast activity, such as the Fos family member Fra-1 or one of its dimerization partners, c-Jun. Transient transfection assays in osteoblastic MC3T3-E1 cells with the heterologous AP-1-tk-luciferase reporter revealed that FIAT does not affect c-Jun-mediated transcription, even in the presence of the c-Jun coactivator alphaNAC. However, FIAT inhibited transcriptional activation by a c-Jun~Fra-1 heterodimer. Thus FIAT specifically inhibits Fra-1 transcriptional activity. These data identify a second target of the FIAT transcriptional repressor activity and suggest that FIAT can modulate early osteoblast activity by interacting with ATF4, as well as regulate later osteoblast function through inhibition of Fra-1.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.003 |
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".