Novel 5′ Untranslated Region Variants of <i>BCRP</i> mRNA Are Differentially Expressed in Drug-Selected Cancer Cells and in Normal Human Tissues: Implications for Drug Resistance, Tissue-Specific Expression, and Alternative Promoter Usage
Bibliographic record
Abstract
To investigate transcriptional activation of the breast cancer resistance protein gene (BCRP/ABCG2), we examined the 5' untranslated region of BCRP mRNA in cell lines with high BCRP transcriptional activity and in normal tissues. Human choriocarcinoma cells with high endogenous BCRP expression (JAR and BeWo) and human cancer cells (MCF-7 and Igrov1) and their BCRP-overexpressing, drug-selected, multidrug-resistant derivatives (MCF-7/AdrVp, Igrov1/MX3, and Igrov1/T8) were studied. Rapid amplification of 5'-cDNA ends-PCR (5'RACE-PCR) revealed at least three novel forms of the untranslated exon 1 (E1a, E1b, and E1c) that are spliced to a common exon 2, with differential expression of these splice variants in the drug-selected cell lines. Additionally, sequence analysis of the 5'RACE-PCR products revealed multiple transcriptional start sites for each variant, particularly in the drug-selected cells. The E1c isoform predominated in drug-selected MCF-7 cell lines and was translated more efficiently in MCF-7 cells than the E1a isoform. Varying patterns of expression of the exon 1 isoforms were observed in a variety of human tissues, suggesting that tissue-specific alternative promoters of BCRP exist. In summary, we find that BCRP overexpression in the drug-selected cells is accompanied by multiple transcriptional start sites and predominance of the more efficiently translated E1c isoform. The exon 1 variation we observe suggests that alternative promoters of the BCRP gene exist.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".