Alternative Splicing of the First Intron of the Steroid Receptor RNA Activator (SRA) Participates in the Generation of Coding and Noncoding RNA Isoforms in Breast Cancer Cell Lines
Bibliographic record
Abstract
The Steroid Receptor RNA Activator 1 (SRA1) has originally been described as a noncoding RNA specifically activating steroid receptor transcriptional activity. We have, however, identified, in human breast tissue, exon- 1 extended SRA1 isoforms containing two initiating AUG codons and encoding a protein we called SRAP. We recently reported a decreased estrogen receptor activity in breast cancer cells overexpressing SRAP, suggesting antagonist roles played by SRA1 RNA and SRAP. SRA1 appears to be the first example of a molecule active both at the RNA and at the protein level. No data are currently available regarding the mechanisms possibly involved in the generation of coding and noncoding functional SRA1 RNAs. Using 5'-Rapid Amplification of cDNA Extremities (5'-RACE), we have herein identified several putative transcription initiation sites surrounding the second methionine codon and used to generate coding SRA1 transcripts. In the process, we also identified an alternatively spliced noncoding SRA1 transcript still containing an intron-1 sequence. Using targeted RT-PCR approaches, we confirmed the presence in breast cancer cell lines of SRA1 RNAs containing a full as well as a partial intron-1 sequence and established that the relative proportion of these RNAs varied within breast cancer cell lines. Using a "minigene" strategy, we also showed that artificial RNAs containing the SRA1 intron-1 sequence are alternatively spliced in breast cancer cell lines. Interestingly, the splicing pattern of the minigene products parallels the one of the endogenous SRA1 transcripts. Altogether, our data suggest that the primary genomic sequence in and around intron-1 is sufficient to lead to a differential splicing of this intron. We propose that alternative splicing of intron-1 is one mechanism used by breast cancer cells to regulate the balance between coding and functional noncoding SRA1 RNAs.
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 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 | 0.001 | 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".