Modulation of Apolipoprotein D and Apolipoprotein E mRNA Expression by Growth Arrest and Identification of Key Elements in the Promoter
Bibliographic record
Abstract
Apolipoprotein D (apoD) and apolipoprotein E (apoE) are co-expressed in many tissues, and, in certain neuropathological situations, their expression appears to be under coordinate regulation. We have previously shown that apoD gene expression in cultured human fibroblasts is up-regulated when the cells undergo growth arrest. Here, we demonstrate that, starting around day 2 of growth arrest, both apoD and apoE mRNA levels increase between 1.5- and 27-fold in other cell types, including mouse primary fibroblasts and fibroblast-like and human astrocytoma cell lines. To understand the regulatory mechanisms of apoD expression, we have used apoD promoter-luciferase reporter constructs to compare gene expression in growing cells and in cells that have undergone growth arrest. Analysis of gene expression in cells transfected with constructs with deletions and mutations in the apoD promoter and constructs with artificial promoters demonstrated that the region between nucleotides -174 and -4 is fully responsible for the basal gene expression, whereas the region from -558 to -179 is implicated in the induction of apoD expression following growth arrest. Within this region, an alternating purine-pyrimidine stretch and a pair of serum-responsive elements (SRE) were found to be major determinants of growth arrest-induced apoD gene expression. Evidence is also presented that SREs in the apoE promoter may contribute to the up-regulation of apoE gene expression following growth arrest.
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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) | 0.000 | 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".