Caenorhabditis elegans organic cation transporter-2 is a novel drug uptake transporter that mediates induced mutagenesis by environmental genotoxic compounds
Bibliographic record
Abstract
Uptake transporters are being studied for roles in the entry of therapeutic drugs into cells and thus can be exploited to improve the treatment of various diseases. The live whole model organism, Caenorhabditis elegans, offers an array of advantages to investigate the roles of these transporters. This organism possesses two organic cation transporters (OCTs), OCT1 and OCT2 that are involved in the uptake of clinically relevant genotoxic anticancer drugs such as doxorubicin and cisplatin into the animal. C. elegans lacking OCT1 displays a shortened lifespan, a decreased brood size, an increased susceptibility to oxidative stress, and certain DNA damaging agents. Remarkably, these phenotypes can be rescued by downregulating the OCT1 paralog, OCT2, leading to the suggestion that OCT1 exerts control on OCT2. Indeed, the loss of OCT1 led to the upregulation of OCT2. OCT2 is an uptake transporter involved in the influx of doxorubicin, as well as a number of other therapeutic agents and chemical compounds, some of which have been identified through ligand-protein docking analyses. The genotoxic compounds entering into C. elegans lead to DNA damage-induced apoptosis of germ cells, a process that can be attenuated by blocking OCT2 function. Thus, by combining the roles of the OCT1 and OCT2 transporters with defects in various DNA repair mechanisms, it is possible to engineer a set of supersensitive C. elegans strains that can serve as the most powerful living sensors to date. These tester C. elegans strains can be used to report on the cytotoxicities and genotoxicities of a battery of old and new drugs developed by pharmaceuticals, undocumented toxicants generated by various industries, and compounds that can cause cancers and are present in trace amounts in the environment around the world. These efforts are attainable as C. elegans can live in the soil and water, and a multitude of tools are available to monitor several readouts from the animals.
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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) | 0.001 | 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".