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Record W4403458447 · doi:10.1016/j.scr.2024.103587

Generation of a control induced pluripotent stem cell line (CBRCULi014-A) derived from the lymphoblastoid cells of a pediatric individual

2024· article· en· W4403458447 on OpenAlexaff
Thiéry De Serres‐Bérard, Valérie Pouliot, Jack Puymirat, Mohamed Chahine

Bibliographic record

VenueStem Cell Research · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPluripotent Stem Cells Research
Canadian institutionsUniversité LavalInstitut Universitaire en Santé Mentale de Québec
Fundersnot available
KeywordsBiologyInduced pluripotent stem cellLymphoblastCell cultureStem cellImmunologyCell biologyVirologyComputational biologyCancer researchGeneticsEmbryonic stem cellGene

Abstract

fetched live from OpenAlex

Lymphoblastoid cell lines serve as a readily and continuous resource for generating induced pluripotent stem cells (iPSCs), enabling the modeling of various genetic disorders in vitro. When investigating congenital and infantile diseases, age-matched controls derived from pediatric individuals are typically necessary, yet they may be scarce or difficult to obtain. Here, the Sendai virus system was employed to introduce reprogramming factors into lymphoblastoid cells derived from an apparently healthy 4-year-old female. The generated iPSCs strongly expressed pluripotency cell markers and displayed robust trilineage differentiation. CBRCULi014-A is therefore a reliable control iPSC line for pediatric disease investigation.

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)0.002
metaresearch head score (Gemma)0.000
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 score0.013
Threshold uncertainty score0.937

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.074
GPT teacher head0.311
Teacher spread0.236 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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