Stra13 Homodimers Repress Transcription through Class B E-box Elements
Bibliographic record
Abstract
A mammalian basic helix-loop-helix protein known variably as Stra13, Sharp2, and Dec1 has been implicated in cell activation, proliferation, and differentiation. Indeed, Stra13 null mice develop age-induced autoimmunity as a result of impaired T-lymphocyte activation, leading ultimately to the accumulation of autoreactive T-cells and B-cells. Stra13 is expressed in embryonic as well as adult tissues derived from neuroectoderm, mesoderm, and endoderm and has been associated with response to hypoxia, suggesting a complex role for this protein and the highly related Sharp1/Dec2 protein in homeostatic regulation. Whereas Stra13 is known to regulate many important cellular functions and is known to cross-regulate biological responses to other basic helix-loop-helix containing transcription factors, including c-Myc and USF, it is unclear if this protein binds directly to DNA. Indeed, the basic domain of Stra13 contains a proline residue at an unprecedented position. Herein, we have determined that Stra13 binds with high affinity to CACGTG class B E-box elements as a homodimer with preference for elements preceded by T and/or followed by A residues. In addition, transient transfection experiments reveal that Stra13 represses transcription when bound to these and related sites. Our data suggest that Stra13 regulates cellular functions through antagonism of E-box activator proteins and also through active repression from E-box elements.
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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".