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Record W2094013887 · doi:10.1158/1538-7445.pedcan-a63

Abstract A63: YB-1 is critical for stress granule assembly and protects cells from oxidative stress

2014· article· en· W2094013887 on OpenAlexaff
Syam Prakash Somasekharan, Gabriel Leprivier, Valentina Evdokimova, Amal EI-Naggar, Shamil Hajee, Martin Gleave, Poul H. Sorensen

Bibliographic record

VenueCancer Research · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA Research and Splicing
Canadian institutionsUniversity of TorontoUniversity of British Columbia
Fundersnot available
KeywordsStress granuleGene knockdownCell biologyMessenger RNARNA-binding proteinDownregulation and upregulationChemistryNucleolinMolecular biologyBiologyCell cultureTranslation (biology)CytoplasmBiochemistryGeneGenetics

Abstract

fetched live from OpenAlex

Abstract Stress granules (SGs) are highly conserved cytoplasmic ribonucleoprotein complexes that modulate gene expression and cellular homeostasis under prototypical stress forms. SG formation protects cells under stress conditions by protecting untranslated mRNAs until stress relief, and cells that are incapable of forming SGs are more vulnerable to diverse stressors compared to cells that are proficient at SG formation. The transcription and translation regulation factor Y-box binding protein 1 (YB-1) is recruited to SG, but its exact contribution to formation of these structures is not clear. Using several stress inducing agents, arsenite, H2O2, piperlongumine, thapsigargin, heat shock, curcumin and hypoxia we demonstrate that YB-1 co-localizes to SG along with G3BP, TIA-1 and poly(A)+ mRNA in various human cancer cell lines. YB-1 inactivation by siRNA knockdown dramatically reduces the efficiency of SG assembly in two sarcoma cell lines, U2OS and Rh-30 and a prostate cancer cell line DU-145, with high YB-1 expression. We also found that si-YB-1 cells with an inefficient stress granule formation were more sensitive to stress induced by arsenite, H2O2, or piperlongumine compared to control cells. YB-1 influences SG assembly via two distinct mechanisms. First, it acts as a scaffold protein to recruit mRNA and SG associated RNA-binding proteins into SGs. Second, YB-1 regulates the mRNA translation of the essential nucleator SG proteins, G3BP and TIA-1, thus controlling their availability during SG assembly under oxidative stress. Finally, in vivo, downregulation of YB-1 significantly affected the formation of stress granules in primary tumors generated in mice. Taken together, YB-1 is critical in SG formation and cell survival. Citation Format: Syam Prakash Somasekharan, Gabriel Leprivier, Valentina Evdokimova, Amal EI-Naggar, Shamil Hajee, Martin Gleave, Poul HB Sorensen. YB-1 is critical for stress granule assembly and protects cells from oxidative stress. [abstract]. In: Proceedings of the AACR Special Conference on Pediatric Cancer at the Crossroads: Translating Discovery into Improved Outcomes; Nov 3-6, 2013; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2013;74(20 Suppl):Abstract nr A63.

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 score0.002
Threshold uncertainty score0.006

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)0.0020.001

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 head0.046
GPT teacher head0.404
Teacher spread0.358 · 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

Citations1
Published2014
Admission routes1
Has abstractyes

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