A novel role for the E2F transcription factor and the ER stress sensor IRE1 in cytoplasmic DNA accumulation
Bibliographic record
Abstract
The E2F family of transcription factors are key regulators of the cell cycle in all metazoans. While they are primarily known for their role in cell cycle progression, E2Fs also play broader roles in cellular physiology, including the maintenance of exocrine tissue homeostasis. However, the underlying mechanisms that render exocrine cells particularly sensitive to E2F deregulation remain poorly understood. The Drosophila larval salivary gland, like its mammalian counterpart, is an exocrine tissue that produces large quantities of "glue proteins" in the endoplasmic reticulum. Here, we show that E2F activity is important for the exocrine function of the Drosophila salivary gland. The loss of de2f1b, an alternatively spliced isoform of Drosophila E2F1, leads to elevated DNA damage and accumulation of cytoplasmic DNA (cytoDNA) in the salivary glands. Surprisingly, we found that IRE1, a key sensor of the unfolded protein response, is required for endoplasmic reticulum homeostasis during development that is critical for preventing cytoDNA accumulation in the salivary gland. Importantly, we found evidence demonstrating that IRE1 activity is attenuated in de2f1b-deficient salivary glands, contributing to endoplasmic reticulum dysfunction and cytoDNA accumulation. Together, these findings reveal an unanticipated link between endoplasmic reticulum homeostasis and cytoDNA processing and offer mechanistic insights into why exocrine tissues are particularly vulnerable to E2F deregulation.
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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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".