<scp>ALREX</scp>‐elements and introns: two identity elements that promote <scp>mRNA</scp> nuclear export
Bibliographic record
Abstract
The mechanisms that dictate whether a particular mRNA is exported from the nucleus are still poorly defined. However, it has become increasingly clear that these mechanisms act to promote the expression of protein-coding mRNAs over the high levels of spurious transcription that is endemic to most eukaryotic genomes. For example, mRNA processing events that are associated with protein-coding transcripts, such as splicing, act as mRNA identity elements that promote nuclear export of these transcripts. Six years ago, we made the serendipitous discovery that regions within the open reading frame of an mRNA that encode short secretory or mitochondrial-targeting peptides can also act as an mRNA identity element which promotes an alternative mRNA nuclear export (ALREX) pathway. These regions are enriched in protein coding genes and have particular features that can be used to identify this class of protein-coding mRNA. In this article we review our current knowledge of how mRNA export evolved in response to particular events that occurred at the base of the eukaryotic tree. We will then focus on our current understanding of ALREX and compare its features to splicing-dependent export, the main mRNA export pathway in metazoans.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.004 |
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".