Cysteine-reactive covalent chloro-N-acetamide ligands induce ferroptosis mediated cell death
Bibliographic record
Abstract
Covalent inhibitors are an attractive targeting strategy that has expanded the development of degraders to target poorly druggable proteins including the E3 ligase RNF4. We show that RNF4 is a potential vulnerability of AML. High RNF4 expression levels correlate with poor patient survival and depletion of RNF4 results in increased sensitivity of AML cells to antileukemic drugs. Therefore, we aimed to develop chemical degraders (PROTACs) of RNF4 using a known covalent RNF4 ligand (CCW16), containing a chloro-N-acetamide group, as well as established E3 ligands targeting CRBN or VHL. However, while CCW16 and CCW16-derived PROTACs react potently with cysteines in recombinant RNF4, in cells, CCW16 forms covalent bonds with a large number of proteins, including peroxiredoxins. Consequently, CCW16 based PROTACs do not trigger degradation of RNF4, but induce the ferroptosis marker heme oxygenase-1 and impair cell viability in a distinct, RNF4-independent, ferroptotic cell death pathway. We hypothesize that other chloro-N-acetamide-containing E3 ligase ligands would also induce ferroptosis. Indeed, the RNF114 ligand EN219 also strongly induces ferroptosis, suggesting that ligands harboring this electrophile induce undesired off-target toxicity.
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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 | 0.000 | 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) | 0.000 | 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".