ArticleNeuroscience2022
Codon Usage and mRNA Stability are Translational Determinants of Cellular Response to Canonical Ferroptosis Inducers.
Article in Neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
9 citing papers in PubMed, 18 citations in OpenAlex.
- Machine learning identifies key cells and therapeutic targets during ferroptosis after spinal cord injury.Neural regeneration research · 2026Article
- G/C-ending and synonymous codon bias define functional translational programs that shape human tissue and cancer proteomes.NAR genomics and bioinformatics · 2026Article
- Evolution and Functional Implications of Codon Usage Bias in Eukaryotes.Journal of molecular evolution · 2026Review
- Epitranscriptomic modifications in programmed cell death: mechanistic insights and implications for liver diseases.Cellular & molecular biology letters · 2025Review
- Decoding Codon Bias: The Role of tRNA Modifications in Tissue-Specific Translation.International journal of molecular sciences · 2025Article
- Dynamic mRNA Stability Buffer Transcriptional Activation During Neuronal Differentiation and Is Regulated by SAMD4A.Journal of cellular physiology · 2025Article
- Translational response to mitochondrial stresses is orchestrated by tRNA modifications.bioRxiv : the preprint server for biology · 2024Article
- Role of ferroptosis in pregnancy related diseases and its therapeutic potential.Frontiers in cell and developmental biology · 2023Review
- Metabolism Meets Translation: Dietary and Metabolic Influences on tRNA Modifications and Codon Biased Translation.Wiley interdisciplinary reviews. RNAReview
Corrections and comments
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Authors and funding
9 authors at 4 institutions in 2 countries.
Funding
Abstract
Ferroptosis is a non-apoptotic cell death mechanism characterized by the generation of lipid peroxides. While many effectors in the ferroptosis pathway have been mapped, its epitranscriptional regulation is not yet fully understood. Ferroptosis can be induced via system xCT inhibition (Class I) or GPX4 inhibition (Class II). Previous works have revealed important differences in cellular response to different ferroptosis inducers. Importantly, blocking mRNA transcription or translation appears to protect cells against Class I ferroptosis inducing agents but not Class II. In this work, we examined the impact of blocking transcription (via Actinomycin D) or translation (via Cycloheximide) on Erastin (Class I) or RSL3 (Class II) induced ferroptosis. Blocking transcription or translation protected cells against Erastin but was detrimental against RSL3. Cycloheximide led to increased levels of GSH alone or when co-treated with Erastin via the activation of the reverse transsulfuration pathway. RNA sequencing analysis revealed early activation of a strong alternative splice program before observed changes in transcription. mRNA stability analysis revealed divergent mRNA stability changes in cellular response to Erastin or RSL3. Importantly, codon optimality biases were drastically different in either condition. Our data also implicated translation repression and rate as an important determinant of the cellular response to ferroptosis inducers. Given that mRNA stability and codon usage can be influenced via the tRNA epitranscriptome, we evaluated the role of a tRNA modifying enzyme in ferroptosis stress response. Alkbh1, a tRNA demethylase, led to translation repression and increased the resistance to Erastin but made cells more sensitive to RSL3.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.