The exon junction complex: A splicing factor for long intron containing transcripts?
Bibliographic record
Abstract
Alternative splicing provides one of the major mechanisms by which eukaryotic genomes can increase the diversity of transcripts and protein products encoded by a limited amount of genes. The spliceosome is involved in recognizing and removing intronic sequences and it is guided in this activity by splicing regulatory factors that determine the particular splice sites that are to be recognized and used for intron removal. Thus, by modulating the spliceosome's activity, these factors can cause different mRNA transcripts to be generated from the same precursor mRNA. In a recent RNAi screen for factors modulating RAS/MAPK signaling, we identified the Drosophila exon junction complex (EJC) as one of the components regulating the splicing of mapk transcripts. We showed that removal of EJC components caused multiple consecutive mapk exons to be skipped. Moreover, we determined that other fly genes that, like mapk, had particularly large introns, were also sensitive to disruption of the EJC. The importance of intron length in determining sensitivity to EJC disruption suggests that the EJC is functioning in exon definition, a splicing mechanism that occurs for long introns in particular.
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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) | 0.001 | 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) | 0.002 | 0.003 |
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".