SRSF10 Connects DNA Damage to the Alternative Splicing of Transcripts Encoding Apoptosis, Cell-Cycle Control, and DNA Repair Factors
Bibliographic record
Abstract
RNA binding proteins and signaling components control the production of pro-death and pro-survival splice variants of Bcl-x. DNA damage promoted by oxaliplatin increases the level of pro-apoptotic Bcl-xS in an ATM/CHK2-dependent manner, but how this shift is enforced is not known. Here, we show that in normally growing cells, when the 5' splice site of Bcl-xS is largely repressed, SRSF10 partially relieves repression and interacts with repressor hnRNP K and stimulatory hnRNP F/H proteins. Oxaliplatin abrogates the interaction of SRSF10 with hnRNP F/H and decreases the association of SRSF10 and hnRNP K with the Bcl-x pre-mRNA. Dephosphorylation of SRSF10 is linked with these changes. A broader analysis reveals that DNA damage co-opts SRSF10 to control splicing decisions in transcripts encoding components involved in DNA repair, cell-cycle control, and apoptosis. DNA damage therefore alters the interactions between splicing regulators to elicit a splicing response that determines cell fate.
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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) | 0.002 | 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".