A Composite Nuclear Export Signal in the TBP-associated Factor TAFII105
Bibliographic record
Abstract
TAF(II)105 is a sub-stoichiometric subunit of TFIID important for activation of anti-apoptotic genes and B cell specific genes by the transcription factors NF-kappaB and OCA-B. This subunit is highly enriched in B and T lymphocytes, and its expression is regulated at a posttranscriptional level. In the present study we investigated the subcellular localization of TAF(II)105. In normal B cells, a significant portion of native TAF(II)105 protein is found in the cytoplasm. Treatment of these cells with B cell-specific stimuli decreased the level of cytoplasmic TAF(II)105. In adherent cultured cells, TAF(II)105 is predominantly nuclear; however, a small fraction of the cells showed either cytoplasmic or homogenous distribution of TAF(II)105. Analysis of different TAF(II)105 mutants and green fluorescence protein fusion proteins identified a region composed of two adjacent sequences displaying nuclear export activity, suggesting that nuclear export of TAF(II)105 is mediated by a composite nuclear export signal. TAF(II)105 nuclear export signal is leptomycin B-resistant indicating that it belongs to a CRM1-independent nuclear export pathway. These results reveal a novel mode of regulation of a specialized component of the general transcription apparatus that may affect the transcription of its target genes.
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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".