The SANT Domain of Human MI-ER1 Interacts with Sp1 to Interfere with GC Box Recognition and Repress Transcription from Its Own Promoter
Bibliographic record
Abstract
To gain insight into the regulation of hmi-er1 expression, we cloned a human genomic DNA fragment containing one of the two hmi-er1 promoters and consisting of 1460 bp upstream of the translation initiation codon of hMI-ER1. Computer-assisted sequence analysis revealed that the hmi-er1 promoter region contains a CpG island but lacks an identifiable TATA element, initiator sequence and downstream promoter element. This genomic DNA was able to direct transcription of a luciferase reporter gene in a variety of human cell lines, and the minimal promoter was shown to be located within-68/+144 bp. Several putative Sp1 binding sites were identified, and we show that Sp1 can bind to the hmi-er1 minimal promoter and increase transcription, suggesting that the level of hmi-er1 expression may depend on the availability of Sp1 protein. Functional analysis revealed that hMI-ER1 represses Sp1-activated transcription from the minimal promoter by a histone deacetylase-independent mechanism. Chromatin immunoprecipitation analysis demonstrated that both Sp1 and hMI-ER1 are associated with the chromatin of the hmi-er1 promoter and that overexpression of hMI-ER1 in cell lines that allow Tet-On-inducible expression resulted in loss of detectable Sp1 from the endogenous hmi-er1 promoter. The mechanism by which this occurs does not involve binding of hMI-ER1 to cis-acting elements. Instead, we show that hMI-ER1 physically associates with Sp1 and that endogenous complexes containing the two proteins could be detected in vivo. Furthermore, hMI-ER1 specifically interferes with binding of Sp1 to the hmi-er1 minimal promoter as well as to an Sp1 consensus oligonucleotide. Deletion analysis revealed that this interaction occurs through a region containing the SANT domain of hMI-ER1. Together, these data reveal a functional role for the SANT domain in the action of co-repressor regulatory factors and suggest that the association of hMI-ER1 with Sp1 represents a novel mechanism for the negative regulation of Sp1 target promoters.
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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) | 0.002 | 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".