Two novel DNA motifs are essential for BACE1 gene transcription
Bibliographic record
Abstract
BACE1 gene encodes for β-Site amyloid β precursor protein (APP)-cleaving enzyme1, which is required for generating amyloid β protein(Aβ). Deposition of Aβ in brain plays an essential role in Alzheimer's Disease (AD) pathogenesis. BACE1 gene has a tissue-specific expression pattern and its expression is tightly regulated at transcriptional level. Core promoter is a minimal DNA sequence to direct transcription initiation and serves as a converging platform for the vast network of regulatory events. Here we identified the core promoter of human BACE1 gene, which is a 71 nucleotides region absent of typical known core promoter elements and is sufficient to initiate a basal transcription. Two novel DNA motifs, designated TCE1 and TCE2, were found to be involved in activating the transcription of human BACE1 gene in a synergistic way. Two single nucleotide mutations in these motifs completely abolished the promoter activity. In conclusion, our studies have demonstrated that novel DNA motif TCE1 and TCE2 in human BACE1 gene promoter are two essential cis-acting elements for BACE1 gene transcription. Studies on how these two motifs being regulated by different stimuli could provide insights into the molecular mechanisms underlying AD pathogenesis and pharmaceutical potentials of targeting these motifs for AD treatment.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 | 0.001 |
| 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".