N-Myc and SP Regulate Phosphatidylserine Synthase-1 Expression in Brain and Glial Cells
Bibliographic record
Abstract
Phosphatidylserine (PS) is an essential constituent of biological membranes and plays critical roles in apoptosis and cell signaling. Because no information was available on transcriptional mechanisms that regulate PS biosynthesis in mammalian cells, we investigated the regulation of expression of the mouse PS synthase-1 (Pss1) gene. The Pss1 core promoter was characterized in vitro and in vivo through gel shift and chromatin immunoprecipitation assays. Transcription factor-binding sites, such as a GC-box cluster that binds Sp1/Sp3/Sp4 and N-Myc, and a degenerate E-box motif that interacts with Tal1 and E47, were identified. Pss1 transactivation was higher in brain of neonatal mice than in other tissues, consistent with brain being a major site of expression of Pss1 mRNA and PSS1 activity. Enzymatic assays revealed that PSS1 activity is enriched in primary cortical astrocytes compared with primary cortical neurons. Site-directed mutagenesis of binding sites within the Pss1 promoter demonstrated that Sp and N-Myc synergistically activate Pss1 expression in astrocytes. Chromatin immunoprecipitation indicated that Sp1, Sp3, and Sp4 interact with a common DNA binding site on the promoter. Reduction in levels of Sp1, Sp3, or N-Myc proteins by RNA interference decreased promoter activity. In addition, disruption of Sp/DNA binding with mithramycin significantly reduced Pss1 expression and PSS1 enzymatic activity, underscoring the essential contribution of Sp factors in regulating PSS1 activity. These studies provide the first analysis of mechanisms that regulate expression of a mammalian Pss gene in brain.
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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".