OASIS/CREB3L1 Induces Expression of Genes Involved in Extracellular Matrix Production But Not Classical Endoplasmic Reticulum Stress Response Genes in Pancreatic β-Cells
Bibliographic record
Abstract
Old astrocyte specifically induced substance (OASIS) has previously been shown to be a putative endoplasmic reticulum (ER) stress sensor in astrocytes with a mechanism of activation that is similar to ATF6. In this study we investigated the expression and activation of endogenous and overexpressed OASIS in pancreatic beta-cells. OASIS mRNA expression was detected in pancreatic beta-cell lines and rodent islets, and the expression level was up-regulated by ER stress-inducing compounds. Endogenous OASIS protein, however, is expressed at low levels in pancreatic beta-cell lines and rodent islets, possibly due to abundant levels of the micro-RNA miR-140 present in these cells. In contrast, expression of both full-length and cleaved (active) OASIS was readily detectable in the developing mouse pancreas (embryonic d 15.5). Microarray analysis after expression of an active nuclear-localized version of OASIS in an inducible INS-1 beta-cell line resulted in the up-regulation of many genes implicated in extracellular matrix production and protein transport but not classical ER stress response genes. Consistent with this, expression of active OASIS failed to induce glucose-regulated protein 78 kDa promoter activity in pancreatic beta-cells. These results suggest that the repertoire of genes induced by OASIS is cell type-dependent and that the OASIS protein may have a role in pancreas development.
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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".