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Record W4248289490 · doi:10.22215/etd/2016-11501

The splicing inhibitor Isoginkgetin leads to defects in multiple phases of the cell cycle

2016· dissertation· en· W4248289490 on OpenAlexaff
Kayleigh Rick

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA Research and Splicing
Canadian institutionsCarleton University
Fundersnot available
KeywordsSpliceosomeRNA splicingCell cycleBiologyAlternative splicingDNA damageCell cycle checkpointCell biologyDNA repairGeneticsDNAGeneMolecular biologyMessenger RNARNA

Abstract

fetched live from OpenAlex

Isoginkgetin is a naturally occurring compound from Ginkgo biloba trees that has anti-neoplastic activities related to inhibition of spliceosome assembly.The p53-tumour suppressor plays a prominent role in cell G1 and G2 cycle checkpoints and p53 is strongly activated in response to transcriptional stresses.Therefore, we determined the effect of p53 and isoginkgetin treatment on cell cycle progression.Wildtype p53 expressing cells exhibited a remarkable S phase defect while the p53-null subline accumulated with 4C DNA content.Despite the pronounced difference in these isogenic strains, there was no pronounced p53 transcriptional response as assessed by qRT-PCR and preliminary microarray analysis.Instead, isoginkgetin leads to altered pre-mRNA splicing of S and M phase-specific transcripts.These results suggest that cell cycle alterations are the direct result of abnormal splicing of cell cycle regulatory mRNAs and not p53 dependent checkpoints.

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 head0.008
GPT teacher head0.270
Teacher spread0.262 · 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 routes1
Has abstractyes

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