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Determining the role of ATF4 in the regulation of mitochondrial remodeling during myotube differentiation and contractile activity

2022· article· en· W4225376233 on OpenAlexafffund
Jonathan M. Memme, Victoria C. Sanfrancesco, David A. Hood

Bibliographic record

VenueThe FASEB Journal · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMitochondrial Function and Pathology
Canadian institutionsYork University
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health Research
KeywordsMyogenesisIntegrated stress responseC2C12Cell biologyATF4MitophagyUnfolded protein responseBiologyMitochondrionSkeletal muscleMitochondrial biogenesisRegulatorCellular adaptationMyocyteAutophagyEndocrinologyTranslation (biology)GeneticsApoptosisMessenger RNAEndoplasmic reticulum

Abstract

fetched live from OpenAlex

ATF4 is a transcriptional regulator that is selectively induced in response to cellular stress conditions, such as exercise, through the activation of the integrated stress response (ISR). Specifically, in the context of mitochondrial‐specific stress, ATF4 is induced as a key component of the mitochondrial unfolded protein response (UPR mt ) and is suggested to upregulate various organellar chaperones and proteases that both preserve, and promote, mitochondrial function. In response to the stress brought about by contractile activity, ATF4 has been implicated in regulating skeletal muscle health by mediating the various signaling events associated with mitochondrial quality control (MQC), including i) mitochondrial biogenesis (expansion), ii) the mitophagy‐lysosomal clearance of damaged and thus potentially harmful organelles, or iii) by activating the mitochondrial unfolded protein response (UPR mt ) as an intermediate response to acute cellular stress. However, it remains to be determined whether ATF4 is necessary for mitochondrial adaptations in skeletal muscle. Therefore, our aim was to determine whether ATF4 is required for the maintenance of mitochondrial function and adaptation following an acute 3h bout of contractile activity (ACA), or after repeated bouts (4 days; CCA) in C2C12 myotubes in which ATF4 was either overexpressed (OE) or knocked down (KD) via lentiviral transduction of plasmids containing the ATF4 open reading frame, or siRNA, respectively. Knockdown of ATF4 promoted elongated myotube formation following 5 days of differentiation, whereas ATF4 OE contributed to the opposite effect in which shorter myotubes were observed relative to the control condition. Induction of PGC‐1α mRNA following ACA in ATF4 KD myotubes was attenuated, suggesting diminished drive for mitochondrial biogenesis in the absence of ATF4. The mRNA expression of ATF5, a downstream target of ATF4, was induced both in response to ACA as well as with ATF4 OE, and was reduced in the absence of ATF4. Mitophagy flux, measured by mitochondrial‐localized LC3‐II, was upregulated in ATF4 OE and KD myotubes basally, and was augmented in both control and ATF4 OE cells following ACA, but not in the absence of ATF4. Furthermore, ATF4 OE revealed decrements in mitochondrial content indicated by 20%, and 40%, reductions in VDAC and COX I protein expression relative to control, while 1.2‐1.5‐fold increases in these markers were observed when ATF4 was knocked down. However, following CCA, COX I and VDAC protein content were increased 3‐4‐fold in ATF4 OE cells, while there was no observable increase in mitochondrial content in ATF4 KD myotubes. Together, these data highlight a potential role of ATF4 in regulating basal mitochondrial content and further suggest that ATF4 may be required for contractile activity‐induced increases in mitochondrial content.

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 score0.003

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 communication0.0000.001
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 head0.010
GPT teacher head0.225
Teacher spread0.215 · 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".

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Citations0
Published2022
Admission routes2
Has abstractyes

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