Phosphorylation status of the Kep1 protein alters its affinity for its protein binding partner alternative splicing factor ASF/SF2
Bibliographic record
Abstract
Mutations in the Drosophila kep1 gene, encoding a single maxi KH (K homology) domain-containing RNA-binding protein, result in a reduction of fertility in part due to the disruption of the apoptotic programme during oogenesis. This disruption is concomitant with the appearance of an alternatively spliced mRNA isoform encoding the inactive caspase dredd. We generated a Kep1 antibody and have found that the Kep1 protein is present in the nuclei of both the follicle and nurse cells during all stages of Drosophila oogenesis. We have shown that the Kep1 protein is phosphorylated in ovaries induced to undergo apoptosis following treatment with the topoisomerase I inhibitor camptothecin. We have also found that the Kep1 protein interacts specifically with the SR (serine/arginine-rich) protein family member ASF/SF2 (alternative splicing factor/splicing factor 2). This interaction is independent of the ability of Kep1 to bind RNA, but is dependent on the phosphorylation of the Kep1 protein, with the interaction between Kep1 and ASF/SF2 increasing in the presence of activated Src. Using a CD44v5 alternative splicing reporter construct, we observed 99% inclusion of the alternatively spliced exon 5 following kep1 transfection in a cell line that constitutively expresses activated Src. This modulation in splicing was not observed in the parental NIH 3T3 cell line in which we obtained 7.5% exon 5 inclusion following kep1 transfection. Our data suggest a mechanism of action in which the in vivo phosphorylation status of the Kep1 protein affects its affinity towards its protein binding partners and in turn may allow for the modulation of alternative splice site selection in Kep1-ASF/SF2-dependent target genes.
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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) | 0.003 | 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".