Direct binding of the Alu binding protein dimer SRP9/14 to 40S ribosomal subunits promotes stress granule formation and is regulated by Alu RNA
Bibliographic record
Abstract
Stress granules (SGs) are formed in response to stress, contain mRNAs, 40S ribosomal subunits, initiation factors, RNA-binding and signaling proteins, and promote cell survival. Our study describes a novel function of the protein heterodimer SRP9/14 and Alu RNA in SG formation and disassembly. In human cells, SRP9/14 exists assembled into SRP, bound to Alu RNA and as a free protein. SRP9/14, but not SRP, localizes to SGs following arsenite or hippuristanol treatment. Depletion of the protein decreases SG size and the number of SG-positive cells. Localization and function of SRP9/14 in SGs depend primarily on its ability to bind directly to the 40S subunit. Binding of SRP9/14 to 40S and Alu RNA is mutually exclusive indicating that the protein alone is bound to 40S in SGs and that Alu RNA might competitively regulate 40S binding. Indeed, by changing the effective Alu RNA concentration in the cell or by expressing an Alu RNA binding-defective protein we were able to influence SG formation and disassembly. Our findings suggest a model in which SRP9/14 binding to 40S promotes SG formation whereas the increase in cytoplasmic Alu RNA following stress promotes disassembly of SGs by disengaging SRP9/14 from 40S.
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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 | 0.001 |
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".