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Abstract A20: Investigating the role of SCO2 in the metabolic adaptation of cancer cells

2020· article· en· W3092165478 on OpenAlexaff
Alexandre V. Zhdanov, Oro Uchenunu, Nadezda A. Brazhe, Evelina I. Nikelshparg, Dmitry E. Andreev, Ruslan I. Dmitriev, Olga Sosnovtseva, Ivan Topisirović, Dmitri B. Papkovsky

Bibliographic record

VenueMolecular Cancer Research · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMitochondrial Function and Pathology
Canadian institutionsMcGill University
Fundersnot available
KeywordsCitric acid cycleOxidative phosphorylationMitochondrionGlycolysisCancer cellNicotinamide adenine dinucleotideBiochemistryMetabolismBiologyReactive oxygen speciesOxidase testChemistryNAD+ kinaseCancerEnzyme

Abstract

fetched live from OpenAlex

Abstract SCO2 (synthesis of cytochrome c oxidase 2) is essential for the assembly and functioning of mitochondrial cytochrome c oxidase (COX) complex (IV). Mutations in the SCO2 gene have been reported to cause COX deficiency and result in fatal infantile cardioencephalomyopathy. Furthermore, the tumor suppressor protein p53 has been shown to mediate its effects on mitochondrial respiration via SCO2. SCO2-/- cells also exhibit increased intracellular oxygen and nicotinamide adenine dinucleotide (NADH) levels, leading to increased reactive oxygen species (ROS) and oxidative DNA damage. However, little is known regarding other metabolic adaptations triggered in response to SCO2 loss. To this end, metabolic profiling of wild-type (WT) and SCO2-/- colon cancer HCT116 cells was carried out using GC/MS. The steady-state levels of most of the glycolytic intermediates were higher in SCO2-/- as compared to WT cells with the exception of pyruvate. Moreover, an asymmetry was observed in the levels of the different tricarboxylic acid (TCA) cycle intermediates when contrasting WT and SCO2-/- cells. Citrate, malate, and alpha-ketoglutarate were elevated in WT relative to SCO2-/- HCT116 cells. In turn, succinate and 2-hydroxyglutarate were higher in SCO2-/- as compared to WT cells. Furthermore, the level of aspartate and asparagine was observed to be lower in the SCO2-/- HCT 116 compared to the WT HCT 116 cells, which is most likely to stem from the defects in oxidative phosphorylation caused by SCO2 loss. Stable isotope tracer analysis using 13C labeled glucose was done to monitor the flux of carbon atoms derived from glucose. As expected, SCO2-/- cells have minimal flux of carbon into the TCA cycle via acetyl CoA production due to the dysfunctional electron transport chain compared to the WT cells. However, SCO2-/- cells are still able to biosynthesize fumarate, malate and aspartate via pyruvate carboxylase. Hence, the SCO2-/- cells are still able to maintain TCA activity via pyruvate carboxylase, which may be necessary for their survival. Moreover, we observed alterations in mTOR signaling between SCO2-deficient and -proficient cells. Strikingly, rpS6 and 4E-BP1 were dramatically less phosphorylated in SCO2-/- cells as compared to WT, which illustrated a shutdown of mTORC1 activity upon SCO2 loss. In turn, AKT and likely mTORC2 activity were higher in SCO2-/- as compared to WT cells as illustrated by increased GSK3 and AKT phosphorylation. This suggests a rewiring of SCO2-/- cells whereby high AKT activity is not paralleled by increased mTOR activity, and we speculate that this is likely due to activation of AMPK. We hypothesize AMPK is activated to maintain energy balance in the cells where mitochondrial ATP production is reduced due to the loss of complex IV function. The changes may be important to the survival and proliferation of SCO2-/- cells and may explain the observed metabolic rewiring due to the loss of the gene. Citation Format: Alexandre V. Zhdanov, Oro Uchenunu, Nadezda A. Brazhe, Evelina Nikelshparg, Dmitry E. Andreev, Ruslan I. Dmitriev, Olga V. Sosnovtseva, Ivan Topisirovic, Dmitri B. Papkovsky. Investigating the role of SCO2 in the metabolic adaptation of cancer cells [abstract]. In: Proceedings of the AACR Special Conference on Targeting PI3K/mTOR Signaling; 2018 Nov 30-Dec 8; Boston, MA. Philadelphia (PA): AACR; Mol Cancer Res 2020;18(10_Suppl):Abstract nr A20.

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 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)0.001
metaresearch head score (Gemma)0.000
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 score0.020
Threshold uncertainty score0.415

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.068
GPT teacher head0.359
Teacher spread0.291 · 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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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