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Record W7033366075

Resveratrol Increases Mitochondrial Protein Import in Differentiated PC12 Cells

2010· dissertation· en· W7033366075 on OpenAlexvenueno aff

Bibliographic record

VenueLibrary and Archives Canada (Government of Canada) · 2010
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicVector-Borne Animal Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsMitochondrionTranslocaseResveratrolReactive oxygen speciesInner mitochondrial membraneHeat shock proteinNeuroprotectionMitochondrial apoptosis-induced channelOxidative stressMembrane potential
DOInot available

Abstract

fetched live from OpenAlex

Mitochondrial function is dependent upon mitochondrial protein import (MPI), a complex process that transports nuclear-encoded proteins into mitochondria. Little is known about MPI in neurons. We examined the effects of Resveratrol (RSV), a polyphenolic antioxidant compound from grapes, on MPI in a neuronal cell model, differentiated PC12 cells. RSV (50µM, 24h) increased levels of mtGFP, a nuclear encoded mitochondrially targeted green fluorescent protein, and mtHsp70, a physiological mitochondrial heat shock protein, in mitochondria. In addition RSV also increased levels of Tom20, a key translocase of the outer mitochondrial membrane. The RSV mediated increases in mitochondrial proteins were independent of increases in mitochondrial mass or changes in intramitochondrial degradation. RSV also reduced mitochondria membrane potential and decreased basal levels of reactive oxygen species. Taken together, these findings show that RSV increases MPI and that this effect may be an important mechanism in the reported neuroprotective effects of RSV.

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 score0.006
Threshold uncertainty score0.012

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)0.0020.001

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 head0.003
GPT teacher head0.139
Teacher spread0.136 · 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
Published2010
Admission routes1
Has abstractyes

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Same venueLibrary and Archives Canada (Government of Canada)Same topicVector-Borne Animal DiseasesFrench-language works237,207