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Record W4362596977 · doi:10.1158/1538-7445.am2023-4773

Abstract 4773: DEAD Box 1 (DDX1) protects its RNA targets in cells exposed to oxidative stress

2023· article· en· W4362596977 on OpenAlexaff
Mansi Garg, Roseline Godbout

Bibliographic record

VenueCancer Research · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA Research and Splicing
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsBiologyDEAD boxStress granuleRNA Helicase AOxidative stressCell biologyRNARNA-binding proteinDNA damageCytoplasmGene knockdownCancer researchGeneticsApoptosisHelicaseMessenger RNADNABiochemistryGeneTranslation (biology)

Abstract

fetched live from OpenAlex

Abstract DEAD box 1 (DDX1) belongs to the family of RNA helicases involved in all aspects of RNA metabolism, from transcription to transport, expression, and decay. DDX1 is overexpressed in a subset of retinoblastoma, neuroblastoma, and breast cancers. In breast cancer, the overexpression and cytoplasmic localization of DDX1 is correlated with poor prognosis. Cancer cells often exhibit high metabolic rates which can lead to genomic instability, oxidative stress, and endoplasmic stress. DDX1 is known to play a role in resolving genotoxic stress by participating in DNA double-strand break (DSB) repair. We propose that DDX1 also plays a key role as a stress response regulator in cells undergoing oxidative stress. When cells are exposed to oxidative stress, DDX1 is recruited to cytoplasmic stress granules (SGs). Although the exact function of SGs remains elusive, it is generally believed that tightly controlled SG assembly and disassembly are important for cell survival under stress. We found that while DDX1 is dispensable for SG assembly, depletion of DDX1 leads to impaired SG disassembly and hence, delayed stress recovery. Thus, DDX1 may play a role in stress resolution after the removal of stress conditions. To further understand the role of DDX1 in stress resolution, we performed RNA-immunoprecipitation followed by next-generation sequencing and identified DDX1-bound RNAs under normal and oxidative stress conditions. We found enhanced binding of DDX1 to its RNA targets in the presence of oxidative stress. Furthermore, we observed that DDX1 protects its target RNAs from degradation in the cytoplasm of cells undergoing oxidative stress. This RNA protection after stress exposure was more prominent in DDX1-overexpressing neuroblastoma cells, possibly explaining the faster stress recovery observed in these cells. Taken together, our results suggest that DDX1 plays a role in protecting cells from oxidative stress. This study may shed light on our understanding of cancer cell resistance to anticancer therapies. Citation Format: Mansi Garg, Roseline Godbout. DEAD Box 1 (DDX1) protects its RNA targets in cells exposed to oxidative stress. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 4773.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.069
GPT teacher head0.395
Teacher spread0.326 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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