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Record W7066333412

Investigating the effects of acute oxidative stress on the expression, localization and activity of cell death regulatory protein BNIP3

2017· dissertation· en· W7066333412 on OpenAlexfundno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2017
Typedissertation
Languageen
FieldMedicine
TopicAutophagy in Disease and Therapy
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsProgrammed cell deathOxidative stressAutophagyGene knockdownMitochondrionCellReactive oxygen speciesOxidative phosphorylationApoptosis
DOInot available

Abstract

fetched live from OpenAlex

BNIP3 is a BCL2 family member that promotes cell death or survival depending on expression level and localization. During hypoxia BNIP3 levels increase and localize to mitochondria, inducing autophagic cell death. Although hypoxic regions are common in solid tumors, BNIP3 expression in these cells promotes cell survival and more aggressive disease. ROS may play a role in regulating cellular response to hypoxia and is known to induce autophagy. However, BNIP3’s role in regulating oxidative stress-induced cell death is unknown and the focus of this study. Effects of hydrogen peroxide exposure on expression, localization and function of BNIP3 were explored using HEK293, U87 and MEF cells. BNIP3 expression and colocalization with mitochondria increased after treatment, along with cell death. However, knockdown of BNIP3 provided minor protection, suggesting that BNIP3 is not required for cell death induced by acute oxidative stress. Overall, BNIP3 may regulate oxidative stress-induced cell death in some cells.

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 score0.006

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.229
Teacher spread0.218 · 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
Published2017
Admission routes1
Has abstractyes

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