DEAD box 1 (DDX1) protein binds to and protects cytoplasmic stress response mRNAs in cells exposed to oxidative stress
Bibliographic record
Abstract
The integrated stress response is a network of highly orchestrated pathways activated when cells are exposed to environmental stressors. While global repression of translation is a well-recognized hallmark of the integrated stress response, less is known about the regulation of mRNA stability during stress. DEAD box proteins are a family of RNA unwinding/remodeling enzymes involved in every aspect of RNA metabolism. We previously showed that DEAD box 1 (DDX1) protein accumulates at DNA double-strand breaks during genotoxic stress and promotes DNA double-strand break repair via homologous recombination. Here, we examine the role of DDX1 in response to environmental stress. We show that DDX1 is recruited to stress granules (SGs) in cells exposed to a variety of environmental stressors, including arsenite, hydrogen peroxide, and thapsigargin. We also show that DDX1 depletion delays resolution of arsenite-induced SGs. Using RNA immunoprecipitation sequencing, we identify RNA targets bound to endogenous DDX1, including RNAs transcribed from genes previously implicated in stress responses. We show the amount of target RNAs bound to DDX1 increases when cells are exposed to stress, and the overall levels of these RNAs are increased during stress in a DDX1-dependent manner. Even though DDX1's RNA-binding property is critical for maintenance of its target mRNA levels, we found RNA binding is not required for localization of DDX1 to SGs. Furthermore, DDX1 knockdown does not appear to affect RNA localization to SGs. Taken together, our results reveal a novel role for DDX1 in maintaining cytoplasmic mRNA levels in cells exposed to oxidative stress.
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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".