Two novel multidrug resistance associated protein (MRP/ABCC) from the Mediterranean mussel (<i>Mytilus</i><i> galloprovincialis</i>): characterization and expression patterns in detoxifying tissues
Bibliographic record
Abstract
Multidrug resistance associated proteins (MRP) belong to the ABCC branch of the ABC transporters. The MRP together with P-gp (P-glycoprotein; MDR1; ABCB1) and BCRP (breast cancer resistance protein; ABCG2) confer multixenobiotic resistance (MXR) in marine vertebrates. In aquatic invertebrates, little is known about the presence and role of these ABC transporters. The ABC transporters play an important role in the absorption, distribution, and excretion of drugs, xenobiotics, and endogenous compounds and are predominantly expressed in excretory organs. In the present study, we identified and characterized two MRP/ABCC transporters (mrp1 and mrp2) from the Mediterranean mussel (Mytilus galloprovincialis Lamarck, 1819). The two cDNAs finally obtained were 4648 bp for mrp1 and 5065 bp for mrp2 with open reading frames of 1500 and 1524 residues, respectively. Analysis of the amino acid sequences revealed the structural organization of ABC transporters with the typical and highly conserved motifs. The expression levels of these genes revealed that the highest expression of mrp1 and mrp2 genes was found in the digestive gland followed by gills, and the lowest expression of the three tissues was detected in the mantle. The expression of these genes was also studied in mussels naturally contaminated with okadaic acid (from a bloom of Dinophysis acuminata Claparède and Lachmann, 1859). The overexpression of mrp2 in the digestive gland suggests that this gene is involved in the process of detoxification of okadaic acid in M. galloprovincilais. These expression patterns agree with the suggested role of these genes in the protection against endogenous or exogenous compounds in aquatic organisms.
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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 | 0.001 | 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".