MétaCan
Menu
← Back to cohort
Record W3093056004 · doi:10.22215/etd/2019-13794

Pharmacological Inhibition of PTEN, using BpV (Phen), Promotes Survival of Retinal Ganglion Cells In Vitro and In Vivo

2019· dissertation· en· W3093056004 on OpenAlexaff
Dennis Chan

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPI3K/AKT/mTOR signaling in cancer
Canadian institutionsCarleton University
Fundersnot available
KeywordsTensinPTENIn vivoPhosphatasePhosphorylationIn vitroBiologyCell biologyChemistryPharmacologySignal transductionCancer researchPI3K/AKT/mTOR pathwayBiochemistryGenetics

Abstract

fetched live from OpenAlex

Previous work has shown that potassium bisperoxo (1,10-phenanthroline) oxovanadate, BpV(Phen), is a potent protein phosphotyrosine phosphatase (PTPase) inhibitor that preferentially blocks the activity of Phosphatase Tensin Homologue Deleted on Chromosome Ten (PTEN).Currently, it remains unknown how pharmacological inhibition of PTEN by bpV(phen) impacts the survival of mammalian RGCs.Thus, the current study investigated the effect of bpV(phen) on RGC survival in vitro and in vivo and the mechanism mediating this outcome following bpV(phen) administration.Collectively, this study revealed that bpV(phen) promoted survival of injured retinal ganglion cells from mature animals (postnatal day 21 (P21) and adult mice) after injury in vitro and in vivo.Interestingly, data also showed bpV(phen) to have an antagonistic effect on healthy RGCs and promote apoptosis.Lastly, preventing Smad3 from being phosphorylated in the transforming growth factor b (TGF-b) pathway did not augment the survival in bpV(phen)-treated RGCs.

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 communication0.0000.000
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 head0.017
GPT teacher head0.294
Teacher spread0.277 · 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
Published2019
Admission routes1
Has abstractyes

Explore more

Same topicPI3K/AKT/mTOR signaling in cancer→French-language works237,207→