Length Increase of the Human α-Globin 3′-Untranslated Region Disrupts Stability of the Pre-mRNA but Not That of the Mature mRNA
Bibliographic record
Abstract
Polyadenylation increases the stability of mRNA molecules. By studying the effect of the length of 3'-untranslated region (UTR) on mRNA levels, we have found that alpha-globin pre-mRNA is stabilized by a mechanism that does not modulate the half-life of mature mRNA. The insertion of DNA fragments of various unrelated sequences into the 3'-UTR of the human alpha-globin gene strongly reduces mRNA abundance upon transfection into choriocarcinoma JEG-3 cells. We found an inverse relationship between mRNA levels and the length of the introduced fragments. In fact, mRNA levels as low as 1% were observed after inserting a 477-nucleotide (nt) fragment, whereas inserting a fragment of 86 nt at the same position had no effect on mRNA accumulation. DNA insertion induced no change in transcription rate or in half-life of mature mRNA. Semi-quantitative reverse transcription-polymerase chain reaction revealed that inserting a 477-nt fragment in the 3'-UTR resulted in decreased levels of nuclear pre-mRNA in proportion to that observed for mature mRNA. In contrast, the insertion of the 477-nt exogenous DNA in the last intron had no effect on mRNA levels despite the presence of intronic sequences in the pre-mRNA. This shows that the reduction of pre-mRNA level was not due to the insertion of putative ribonuclease cleavage sites or the insertion of a segment DNA that reduces the elongation efficiency. Taken together, our results strongly support the existence of a pre-mRNA stabilizing mechanism that can be disrupted by increasing the length of the 3'-UTR. The fact that the half-life of mature mRNA is not affected by DNA insertion is compatible with a pre-mRNA-specific stabilizing mechanism that acts specifically before polyadenylation.
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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 | 0.001 |
| 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".