Structure and Expression of the Mouse Gene Encoding the Orphan Nuclear Receptor TEC
Bibliographic record
Abstract
Translocated in extraskeletal chondrosarcoma (TEC) is an orphan nuclear receptor involved in the control of cell proliferation and apoptosis and is expressed mainly in the mammalian central nervous system. To help understand the regulation of its expression, we have characterized the mouse genomic locus encoding TEC and analyzed its expression pattern in various tissues. The gene spans approximately 40 kb and contains 8 exons, of which the first two are noncoding. The promoter region does not contain any identifiable TATA box or CCAAT box elements; however, several binding sites for the transcription factors cyclic AMP-responsive element binding (CREB) protein and Spl are present. Two types of transcripts generated by alternative splicing were characterized by RT-PCR: one encodes the full-length receptor of 627 amino acids; the other encodes a truncated receptor of 429 amino acids lacking the entire carboxyl-terminal domain. Northern blots and RT-PCR analyses showed that mRNAs encoding both isoforms are expressed in all mouse tissues examined, with the highest levels being found in the brain. This expression pattern suggests that TEC may perform some basic housekeeping cellular function in addition to its role in cell proliferation.
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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) | 0.001 | 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".