Data from A Genome-Wide Screen in <b><i>Saccharomyces cerevisiae</i></b> Reveals Altered Transport As a Mechanism of Resistance to the Anticancer Drug Bleomycin
Bibliographic record
Abstract
<div>Abstract<p>The potent DNA damaging agent bleomycin (BLM) is highly effective for treating various cancers, although, in certain individuals, the development of cellular resistance to the drug can severely diminish its antineoplastic properties. We performed two independent genome-wide screens using a <i>Saccharomyces cerevisiae</i> mutant collection to isolate variants exhibiting either sensitivity or resistance to BLM. This procedure reproducibly identified a relatively large collection of 231 BLM-hypersensitive mutants, representing genes belonging to diverse functional groups. In contrast, only five BLM-resistant mutants could be recovered by our screens. Among these latter mutants, three were deleted for genes involved in plasma membrane transport, including the l-carnitine transporter Agp2, as well as the kinases Ptk2 and Sky1, which are involved in regulating polyamine transport. We further showed that Agp2 acts as a transporter of BLM and that overexpression of this transporter significantly enhances BLM-induced cell killing. Our data strongly implicate membrane transport as a key determinant in BLM resistance in yeast. This finding is critical, given that very little is known about BLM transport in human cells. Indeed, characterization of analogous mechanisms in humans may ultimately lead to enhancement of the antitumor properties of BLM.</p></div>
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.005 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".