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Record W4362543540 · doi:10.1158/1538-7445.am2023-2554

Abstract 2554: Phosphorylationdependent control of protein synthesis in response to inhibitors of mRNA translation and mitochondrial respiration in HeLa cancer cell line

2023· article· en· W4362543540 on OpenAlexaff
Hamidreza Galavi, Steven Pelech

Bibliographic record

VenueCancer Research · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics, Bioinformatics, and Biomedical Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsAnisomycinPhosphorylationBiologyKinaseRibosomal protein s6Protein phosphorylationCell biologyP70-S6 Kinase 1Ribosomal s6 kinasemTORC1Protein kinase AMolecular biologyProtein kinase B

Abstract

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Abstract Control of protein turnover via regulation of the rates of protein synthesis and degradation is one of the principal means by which cell signaling networks can be modulated. This regulation can also be achieved through alterations in post-translational modifications such as phosphorylation. The human genome encodes ~21,300 proteins, and over 95% of these are subjected to reversible phosphorylation at nearly a million sites by at least 568 protein kinases (PK) and about 156 protein phosphatases (PP). The aim of current study was to use differential treatments of cultured cells with diverse agents to uncover connectivities between protein kinases and their substrates to elucidate the architecture of signaling networks. Western blot analyses showed that the protein synthesis inhibitor anisomycin (Alomone labs, Israel) and the mitochondrial respiratory chain inhibitor arsenate (Sigma, Saint Louis, MO) both increased ribosomal proteins S6 (RPS6) S235+S236+S240 phosphorylation. There were similar patterns of activatory phosphorylations observed for upstream kinases of RPS6, including p70S6K at T255 and RSK1 at S380. Anisomycin and arsenate also enhanced activatory phosphorylation of the kinases p38α at T180+Y182 and CK2α at Y255. We explored whether or not the effect of anisomycin or arsenate on these protein kinases were dependent on mTOR signaling with its inhibitor rapamycin (Calbiochem, EMD Chemicals Inc.), which by itself slightly increased the RPS6 S235+S236+S240 phosphorylation. However, rapamycin completely blocked both anisomycin and arsenate induced RPS6 phosphorylation. Rapamycin did not block phosphorylation of p38α MAPK T180 and Y182 in response to anisomycin or arsenate. The results of CK2α Y255 phosphorylation were particularly interesting, because rapamycin treatment alone increased the phosphorylation at this site as did anisomycin alone, but the combination of these inhibitors blocked this phosphorylation. However, CK2α Y255 phosphorylation in response to arsenate alone and in combination with rapamycin showed that the arsenate induction of phosphorylation was not dependent on mTOR signaling. We hypothesized that this mTOR-independent signaling pathway involves the activation of protein-tyrosine kinases that may target both CK2a and p38 MAPK. Therefore, we designed an in vitro experiment and we found that some protein-tyrosine kinases like Blk, Bmx, Btk, EGFR, Fer, Fes, Frk, Fyn, LynA, Pyk2, Src, Syk, Tec, and TrkB can significantly phosphorylate p38 MAPK at Y182 and CK2α at Y255, whereas some other protein-tyrosine kinases such as Fgr, InsR, Jak2, Met, and Txk primarily targeted CK2α at Y255. We also demonstrated that p38 MAPK is able to directly phosphorylate CK2α near its C-terminus at T360 and S362, and this correlated with activation of its casein phosphotransferase activity. Citation Format: Hamidreza Galavi, Steven Pelech. Phosphorylationdependent control of protein synthesis in response to inhibitors of mRNA translation and mitochondrial respiration in HeLa cancer cell line [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 2554.

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.026
Threshold uncertainty score0.368

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.042
GPT teacher head0.354
Teacher spread0.312 · 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 teacher head, 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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