Functional characterization of non-synonymous single nucleotide polymorphisms in the gene encoding human multidrug resistance protein 1 (MRP1/ABCC1)
Bibliographic record
Abstract
The 190-kDa ATP-binding cassette (ABC) multidrug resistance protein 1 (MRP1) encoded by the MRP1/ABCC1 gene mediates the active cellular efflux of glucuronide, glutathione and sulfate conjugates. It can also confer resistance to a diverse spectrum of chemotherapeutic agents and transport a variety of toxicants. In the present study, we examined 10 MRP1/ABCC1 missense genetic variants [non-synonymous single nucleotide polymorphisms (SNPs)] to determine whether or not they affect expression or function of the transporter. Variants 218C>T (Thr73Ile), 257C>T (Ser92Phe), 350C>T (Thr117Met), 689G>A (Arg230Gln), 1898G>A (Arg633Gln), 2168G>A (Arg723Gln), 2965G>A (Ala989Thr), 3140G>C (Cys1047Ser), 3173G>A (Arg1058Gln) and 4535C>T (Ser1512Leu) were recreated using site-directed mutagenesis and transfected into human embryonic kidney cells. Immunoblotting experiments showed that all mutant proteins were expressed at levels comparable to wild-type MRP1. Vesicular transport assays revealed that the Ala989Thr mutation caused a significant decrease in estradiol 17beta-glucuronide transport due to a decrease in apparent affinity (Km) for this organic anion. The transport properties of the other mutants were comparable to wild-type MRP1. When the MRP1/ABCC1 non-synonymous SNPs were evaluated by the SIFT algorithm using subsets of homologs and orthologs of MRP1/ABCC1, Arg230Gln, Val353Met, Arg433Ser, Gly671Val and Arg1058 mutations were predicted to be deleterious, whereas the PolyPhen algorithm predicted Ser92Phe and Gly671Val to be potentially damaging. Thus most predictions of these algorithms were not in accordance with our experimental results. In conclusion, our data suggest that none of the MRP1/ABCC1 variants studied are likely by themselves to have major deleterious effects in healthy individuals, and the SIFT and PolyPhen algorithms appear to be poor predictors of the phenotypic consequences of these MRP1 mutations at least in vitro.
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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 | 0.000 |
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 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".