MétaCan
Menu
Back to cohort
Record W4308998148 · doi:10.1016/j.scr.2022.102970

Generation of cytochrome P450 enzyme-polymorphic human induced pluripotent stem cell lines with CYP2D6*10/CYP3A5*3C and CYP2D6*10/CYP2C19*2

2022· article· en· W4308998148 on OpenAlexaff
Jaehun Lee, Gyeongmin Kim, Kyun Yoo, Choongseong Han, Jong‐Hoon Kim

Bibliographic record

VenueStem Cell Research · 2022
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicPharmacogenetics and Drug Metabolism
Canadian institutionsNexen (Canada)
FundersKorea Evaluation Institute of Industrial TechnologyMinistry of Science and ICT, South KoreaMinistry of Science ICT and Future PlanningNational Research Foundation of Korea
KeywordsBiologyCYP2D6Induced pluripotent stem cellCytochrome P450Single-nucleotide polymorphismCYP2C19CYP3A4Drug metabolismGeneCell cultureCYP3A5GenotypeDrugGeneticsEnzymePharmacologyBiochemistry

Abstract

fetched live from OpenAlex

Cytochrome P450 (CYP) reaction phenotyping has become crucial for predicting drug reactions and side effects. Single nucleotide polymorphisms (SNPs) in CYP genes alter drug metabolism capacity and cause unexpected drug-related reactions. Here, we established two human induced pluripotent stem cell (hiPSC) lines with pharmacologically important SNPs in CYP2D6 in conjunction with CYP2C19 or CYP3A5 genes. These hiPSC lines can serve as valuable resources for expanding our understanding of the relationships between genotypes and drug reactions.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
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 score0.073
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.367
GPT teacher head0.465
Teacher spread0.098 · 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.

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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueStem Cell ResearchSame topicPharmacogenetics and Drug MetabolismFrench-language works237,207