The QA repeat domain of TCERG1 plays a role in inhibiting C/EBPα and in its ability to undergo redistribution in the nucleus.
Bibliographic record
Abstract
TCERG1 is a nuclear protein that functions in transcriptional elongation and the integration of transcription and mRNA processing. Our laboratory has shown that it also inhibits the various biochemical activities of C/EBPα, through a mechanism that involves its redistribution from its normal nuclear speckle compartment to pericentromeric regions which is where C/EBPα resides. We undertook structure/function analysis of TCERG1 to identify the domain that mediates this inhibitory effect. Previous studies from our lab indicated that the domain resided in the amino terminus portion of the protein, which contains three WW domains as well as a domain consisting of 38 QA repeats. While mutation of one or more of the WW domains had no effect on the inhibitory activity of TCERG1 or its ability to be redistributed, deletion of the QA domain abrogated both of these activities. Reducing the number of QA repeats to 20 had no measurable effect, while a further reduction to 10 repeats eliminated these activities of TCERG1. This study not only suggests a role for this unique domain, but also indicates that there is a minimal number of repeats necessary for it to function.
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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".