Drug Binding Domains of MRP1 (ABCC1) as Revealed by Photoaffinity Labeling
Bibliographic record
Abstract
Drug resistance is a major impediment in the treatment of cancer patients receiving single or multiple drug treatment. Efforts to reverse drug resistance of tumor cells have not been successful. In recent years, considerable emphasis has been placed on understanding the underlying mechanisms that confer drug resistance. The expression of the multidrug resistance protein 1 (MRP1 or ABCC1) in cancer cells has been shown to confer resistance to diverse classes of anti-cancer drugs. MRP1 is a member of the ATP-binding cassette (ABC) family whose function, in tumor cells, is to reduce drug accumulation through energized drug efflux. To learn more about the functions of MRP1 in tumor drug resistance, knowledge of the protein binding characteristics and the location of its binding sites are essential. Photoaffinity labeling (PAL) has emerged as a leading technique that can rapidly shed light on a protein's drug binding characteristics and ultimately drug binding domains. Several MRP1-specific photoreactive probes have been developed. PAL of MRP1 was first demonstrated with the quinoline-based drug, IAAQ. Other studies showed that the high affinity endogenous substrate of MRP1, LTC(4), has intrinsic photoreactive properties and binds within both N- and C-terminal domains of MRP1. LTC(4) is conjugated to glutathione (GSH), a property common to several MRP1 substrates. In addition, several unconjugated drugs have been identified that interact with MRP1: [(3)H]VF-13,159, IAAQ, IACI and IAARh123. Mapping studies showed that IACI and IAARh123 bind two sites within transmembrane (TM) regions 10-11 and 16-17 of MRP1. Interestingly, the GSH-dependent PAL of [(125)I]azidoAG-A and [(125)I]LY475776 occurs within, or proximal to TM 16-17. The PAL with several analogs of GSH, IAAGSH and azidophenacyl-[(35)S]GSH found to interact specifically with MRP1 within TM 10-11 and TM 16-17 in addition to binding two cytoplasmic regions in MRP1, L0 and L1. This review focuses on the use of PAL for studying MRP1 interactions with various drugs and cell metabolites. Furthermore, knowledge of MRP1 drug binding domains, as identified by PAL with various photoreactive drug analogs, provides an important first step towards more detailed analyses of MRP1 binding domains.
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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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".