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Record W7023999235

Protein kinase inhibitor effects on P-glycoprotein (P-gp) activity and expression in various cell lines

2015· dissertation· en· W7023999235 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMspace (University of Manitoba) · 2015
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicModel Reduction and Neural Networks
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsCell cultureProtein kinase AProtein kinase inhibitorKinaseMitogen-activated protein kinase kinaseCellCyclin-dependent kinase 3ASK1Cyclin-dependent kinase 2
DOInot available

Abstract

fetched live from OpenAlex

Little is known about potential influences of kinase pathway modulation on expression and activity of P-glycoprotein (P-gp). A protein kinase inhibitor (PKI) library was screened, to determine its effects on activity and expression of P-gp, in various cell lines. Cell lines were incubated with PKI for 24 h. Subsequent P-gp substrate accumulation studies were performed. Changes in P-gp activity and/or expression ≥ 25% compared to control were considered hits. Kinase pathways identified as P-gp activity hits were examined for their ability to modulate permeability. PKI families GSK-3, Craf1 and VEGFR2 and Tie-2, significantly modulated P-gp activity in the MDCK cell line. PKI families GSK-3, Iκκ and Jnk2/3 significantly modulated P-gp activity in the Caco-2 cell line. Few P-gp activity hits significantly modulated P-gp expression. PKIs modulate P-gp activity more than P-gp expression in a cell line dependent manner, excluding GSK-3 PKI family, which appears to be cell line independent.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.238
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.009
GPT teacher head0.209
Teacher spread0.200 · 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