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Depletion of Programmed Cell Death Protein 4 (PDCD4), an mTORC1/S6K1 Substrate, Attenuates Proteolysis in L6 Myotubes

2016· article· en· W4389025549 on OpenAlexafffund
Olasunkanmi John Adegoke, Sidney Abou Sawan

Bibliographic record

VenueThe FASEB Journal · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMuscle Physiology and Disorders
Canadian institutionsYork University
FundersNatural Sciences and Engineering Research Council of CanadaYork University
KeywordsmTORC1P70-S6 Kinase 1ProteolysisProtein biosynthesisProtein degradationCell biologyRibosomal protein s6BiochemistryChemistryPolysomeProgrammed cell deathBiologyPhosphorylationProtein kinase BRNAApoptosisRibosomeGene

Abstract

fetched live from OpenAlex

The mammalian (mechanistic) target of rapamycin complex 1/ribosomal S6 Protein kinase 1 (mTORC1/S6K1) signaling pathway is a critical regulator of skeletal muscle protein synthesis and mass. Because mTORC1 signaling is also implicated in autophagy control, regulation of muscle protein mass by mTORC1 may be mediated by regulation of protein synthesis and/or degradation. We recently characterized the expression of programmed cell death protein 4 (PDCD4), a substrate of mTORC1/S6K1, in skeletal muscle. This pro apoptotic protein normally inhibits mRNA translation by binding to eukaryotic translation initiation factor 4A (eIF4A), but upon phosphorylation by S6K1, it is targeted for proteolysis by the ubiquitin dependent proteolytic system. Depletion of PDCD4 in myoblasts attenuated the suppression of protein synthesis that is normally observed in response to amino acid starvation. Surprisingly in myotubes, PDCD4 depletion led to a reduction in protein synthesis. This led us to hypothesize that PDCD4 likely regulates both protein synthesis and degradation, and that its depletion would lead to a greater suppression of proteolysis (compared to suppression of protein synthesis), thus leading to positive protein balance. L6 myotubes were depleted of PDCD4 by RNA interference. Thirty‐six hours later, cells were pulsed with S‐35 methionine/cysteine for 12 hours. To activate proteolysis, cells were then incubated either in amino acid‐free medium (starvation), or in 1 μM dexamethasone for varying lengths of time. Samples were then harvested and subjected to autoradiography to measure residual radioactivity. At 24–36 hours, starvation increased the disappearance of radiolabeled protein by 50–80% compared with non‐starved cells ( P <0.05), consistent with increased proteolysis. In PDCD4 depleted cells, starvation‐induced proteolysis was suppressed by 40–60% ( P <0.05). Ubiquitinated proteins accumulated to a greater extent (40–100%) in starved PDCD4‐depleted cells compared to cells treated with control siRNA ( P <0.05), consistent with inhibition of degradation of ubiquitinated proteins. In dexamethasone treated cells, proteolysis was inhibited by ~20% in PDCD4 depleted cells compared to cells treated with control siRNA ( P <0.001). These data are consistent with a role for PDCD4 in regulating not only protein synthesis but also proteolysis. Therefore, interventions that target PDCD4 may help in limiting muscle proteolysis seen in catabolic conditions like cancer and insulin resistance states. Support or Funding Information NSERC; York University

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 score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.012
GPT teacher head0.236
Teacher spread0.224 · 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

Citations0
Published2016
Admission routes2
Has abstractyes

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