Functional Silencing of TATA-binding Protein (TBP) by a Covalent Linkage of the N-terminal Domain of TBP-associated Factor 1
Bibliographic record
Abstract
General transcription factor TFIID is comprised of TATA-binding protein (TBP) and TBP-associated factors (TAFs), together playing critical roles in regulation of transcription initiation. The TAF N-terminal domain (TAND) of yeast TAF1 containing two subdomains, TAND1 (residues 10-37) and TAND2 (residues 46-71), is sufficient to interact with TBP and suppress the TATA binding activity of TBP. However, the detailed structural analysis of the complex between yeast TBP and TAND12 (residues 6-71) was hindered by its poor solubility and stability in solution. Here we report a molecular engineering approach where the N terminus of TBP is fused to the C terminus of TAND12 via linkers of various lengths containing (GGGS)(n) sequence, (n = 1, 2, 3). The length of the linker within the TAND12-TBP fusion has a significant effect on solubility and stability (SAS). The construct with (GGGS)(3) linker produces the best quality single-quantum-coherence (HSQC) NMR spectrum with markedly improved SAS. In parallel to these observations, the TAND12-TBP fusion exhibits marked reduction of TBP function in binding to TAF1 as well as temperature sensitivity in in vivo yeast cell growth. Remarkably, the temperature sensitivity was proportional to the length of the linker in the fusions: the construct with (GGGS)(3) linker did not grow at 20 degrees C, while those with (GGGS)(1) and (GGGS)(2) linkers did. These results together indicate that the native interaction between TBP and TAND12 is well maintained in the TAND12-(GGGS)(3)-TBP fusion and that this fusion approach provides an excellent model system to investigate the structural detail of the TBP-TAF1 interaction.
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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 | 0.000 |
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".