Expression of UGT2B7 is driven by two mutually exclusive promoters and alternative splicing in human tissues
Bibliographic record
Abstract
OBJECTIVE: UDP-glucuronosyltransferase 2B7 (UGT2B7) plays a major detoxification role in commonly prescribed drugs and endogenous lipophilic molecules. Additional exons and multiple alternative splicing events (ASEs) at the UGT2B7 locus were recently discovered. MATERIALS AND METHODS: Novel and classical ASEs were quantified in 27 human tissues, as well as in fetal and tumoral tissues. The activity of the alternative UGT2B7 promoters was studied in cell lines. RESULTS: UGT2B7 expression is driven by an alternate promoter 1a associated with transcripts containing exon 1b, which is located ∼44 kb upstream of the known promoter 1 associated with transcripts containing exon 1 required for enzyme activity. The exon 1 was expressed most abundantly in the liver and gastrointestinal tract, whereas exon 1b was expressed predominantly in other extrahepatic tissues. Experimental evidence indicated endogenous translation that yields alternative UGT2B7s derived from the use of exon 1b are enzymatically inactive. Alternate 5' ASE predominates in fetal tissues (kidney, lung) and kidney tumor samples compared with normal adult kidney. These changes further correlate with reduced glucuronidation in neoplastic kidneys. This differential expression pattern was further confirmed using four liver and kidney cell lines and was consistent with the differential usage of alternate promoters in hepatic (promoter 1) and kidney cells (1a). CONCLUSION: UGT2B7 is characterized by two mutually exclusive exons 1, both flanked by a unique 5' promoter region. Data also indicated a switch toward functional enzyme upon maturation in the kidney and reversal of this process in neoplastic cells, considerably modifying the glucuronidation potential across human tissues and cells.
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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 | 0.000 |
| 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".