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Record W2528778266 · doi:10.3892/mmr.2016.5810

Decreased expression of miR-9 due to E50K OPTN mutation causes disruption of the expression of BDNF leading to RGC-5 cell apoptosis

2016· article· en· W2528778266 on OpenAlexaff
Bo Jiang, Lin Gao, Dawei Lei, Jiannan Liu, Zhengbo Shao, Xinrong Zhou, Ren‐Ke Li, Donglai Wu, Fei Xue, Yuanmao Zhu, Huiping Yuan

Bibliographic record

VenueMolecular Medicine Reports · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicroRNA in disease regulation
Canadian institutionsUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsOptineurinBiologyApoptosisNeurotrophic factorsGene silencingTransfectionCell biologyTranscription factorCellCell cyclemicroRNAMolecular biologyCell cultureGeneticsGeneAutophagy

Abstract

fetched live from OpenAlex

The aims of the present study were to investigate the effect of E50K optineurin (OPTN) mutation on RGC‑5 cells and to define the role of microRNA‑9 (miR‑9) in this system. Transfected RGC‑5 cells were used to evaluate the effects of E50K OPTN on the expression of miR‑9 and subsequent disruption of RGC‑5 cell apoptosis was analyzed using western blotting. The results showed that the expression of E50K OPTN was associated with a marked reduction in the levels of miR‑9 in the E50K OPTN‑transfected RGC‑5 cells. The E50K OPTN‑dependent reductions in miR‑9 led to increased expression of the transcriptional repressor, RE1‑silencing transcription factor and decreased the expression of brain‑derived neurotrophic factor. Thus, E50K OPTN may disrupt the expression of miR‑9, suggesting a potential mechanism by which E50K OPTN mutation may lead to RGC‑5 cell apoptosis.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.043
Threshold uncertainty score0.434

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0000.000

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 head0.008
GPT teacher head0.264
Teacher spread0.255 · 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 teacher head, 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

Citations8
Published2016
Admission routes1
Has abstractyes

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