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Mitochondrial Localization and Function of SESN2

2020· article· en· W3016426245 on OpenAlexaff
Andrei V. Budanov, Irina E. Kovaleva, A. V. Tokarchuk, Andrey O. Zheltukhin, Alexandra Dalina, Konstantin G. Lyamzaev, Alexander Haidurov, Peter M. Chumakov

Bibliographic record

VenueThe FASEB Journal · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics, Aging, and Longevity in Model Organisms
Canadian institutionsTrinity College
Fundersnot available
KeywordsmTORC1Cell biologyMitochondrionAutophagyBiologyChemistrySignal transductionBiochemistryApoptosisPI3K/AKT/mTOR pathway

Abstract

fetched live from OpenAlex

The goal of this study was to understand the potential mechanisms responsible for the regulation of metabolism and mitochondrial functions by SESTRIN2 (SESN2) and other members of the SESTRIN protein family. Our studies are based on cell fractionation and microscopy analyses to determine the localization of SESN2 and on the C. elegans model to define the role of SESTRINs in mitochondrial respiration. SESN2 is a member of evolutionarily conserved SESTRIN protein family found in the majority of the Metazoa species. SESN2 is transcriptionally activated by many stress factors including metabolic derangements, oxidants, and DNA‐damage. As a result, SESN2 suppresses oxidative stress, tunes up metabolic pathways, and regulates cell viability. Many of the activities of SESN2 are linked to regulation of mechanistic target of rapamycin complex 1 kinase (mTORC1) that plays the central role in the regulation of cell growth, metabolism, and autophagy. SESN2 inhibits mTORC1 activity through the interaction with the GATOR2 protein complex that prevents the inhibitory effect of GATOR2 on the GATOR1 protein complex and relieves an inhibitory effect of GATOR1 towards RagA/B GTPases, the major activators of mTORC1. Despite the well‐established role of SESN2 in the mTORC1 inhibition, some other SESN2 activities are not well characterized. As established by us and other groups, SESN2 can control mitochondrial respiration and cell death via mTORC1‐independent mechanisms. We hypothesized that these processes can be explained by the direct effects of SESN2 on mitochondria. To study the potential localization of SESN2 on mitochondria we performed mitochondrial fractionation from different human cancer cell lines and observed that considerable amounts of SESN2 protein were co‐purified with mitochondria. According to the results of treatment with proteases, SESN2 was located on the outer mitochondrial membrane. While we observed no association of SESN2 with the AKAP1 protein, as was previously reported, we found that the mitochondrial localization of SESN2 depends on GATOR2. We determine that mitochondrial SESN2 might be responsible for the regulation of the accumulation of reactive oxygen species and respiration in mammalian cells and C. elegans . We have shown that SESN2 is associated with mitochondria and can be directly involved in direct regulation of mitochondria functions. Support or Funding Information This work was supported by Russian Science Foundation grant 17‐14‐01420.

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 score0.001
Threshold uncertainty score0.004

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)0.0010.000

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 head0.012
GPT teacher head0.212
Teacher spread0.200 · 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
Published2020
Admission routes1
Has abstractyes

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