Redefining the structure of the mouse connexin43 gene: selective promoter usage and alternative splicing mechanisms yield transcripts with different translational efficiencies
Bibliographic record
Abstract
The connexin43 (cx43) gene was originally described as consisting of two exons, one coding for most of the 5'-untranslated region (5'-UTR), and the other for the protein sequence and 3'-UTR. We now report that in mouse four additional exons are expressed, all coding for novel 5'-UTRs. Altogether, we found nine different cx43 mRNA species (GenBank accession numbers NM010288, and AY427554 through AY427561) generated by differential promoter usage and alternative splicing mechanisms. The relative abundance of these different mRNAs varied with the tissue source. In addition, the different transcripts showed varying translational efficiencies in several cell lines, indicating the presence of cis-RNA elements that regulate cx43 translation. We propose that it is the promoter driving the expression of the cx43 gene that determines exon choice in the downstream splicing events in a cell-type-dependent fashion. This in turn will affect the translation efficiency of the transcript orchestrating the events that lead to the final expression profile of cx43. Since a similar organization of the cx43 gene was also observed in rat it is likely that the complex regulation of cx43 expression involving transcription, splicing and translation mechanisms is a common trait conserved during evolution.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".