Transcription of the Human c-Src Promoter Is Dependent on Sp1, a Novel Pyrimidine Binding Factor SPy, and Can Be Inhibited by Triplex-forming Oligonucleotides
Bibliographic record
Abstract
The tyrosine kinase pp60(c-src) has been implicated in the regulation of numerous normal physiological processes as well the development of several human cancers. However, the mechanisms regulating its expression have not been addressed. In the present study, we report the presence of two Sp1/Sp3 binding sites and three polypurine:polypyrimidine (Pu:Py) tracts in the c-Src promoter that are essential for controlling expression. We demonstrate that Sp1, but not Sp3, is capable of activating the c-Src promoter and that Sp3 is also capable of inhibiting Sp1-mediated transactivation. The presence of multiple Pu:Py tracts conferred S1 sensitivity on plasmids in vitro, suggesting they are capable of adopting non B-DNA conformations. These tracts specifically bind a nuclear factor we named SPy (Src pyrimidine binding factor), which demonstrates both novel double- and single-stranded binding specificities. Mutations eliminating SPy binding compromised Src transcriptional activity, especially in concert with additional mutations affecting Sp1 binding, suggesting the two factors may cooperate in regulating c-Src expression. Finally, we demonstrate that triplex-forming oligonucleotides designed to target both Sp1 and SPy binding sites can down-regulate c-Src expression in vitro, suggesting a potential therapeutic approach to controlling c-Src expression in diseases where aberrant expression or activity has been documented.
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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 | 0.001 |
| 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".