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Record W4403566649 · doi:10.1016/j.scr.2024.103589

Generation of IPi002-A/B/C human induced pluripotent stem cell lines from MARCH amniotic fluid cells

2024· article· en· W4403566649 on OpenAlexaff
Mikaël Boullé, Ambre Leleu, Siham Schacre, Céline Banal, Alix Boucharlat, Solène Renault, Marcel Hollenstein, Patrick Frosk, F Yates, Nathalie Lefort, Fabrice Agou

Bibliographic record

VenueStem Cell Research · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPluripotent Stem Cells Research
Canadian institutionsUniversity of Manitoba
FundersAgence Nationale de la Recherche
KeywordsBiologyInduced pluripotent stem cellAmniotic fluidStem cellCell cultureCell biologyMolecular biologyEmbryonic stem cellImmunologyGeneticsPregnancyFetusGene

Abstract

fetched live from OpenAlex

Human induced pluripotent stem cells (hiPSCs) have become a revolutionary tool in biomedical research due to their unique in vitro properties and fate versatility. They offer insights into development or genetic disorders, facilitate drug discovery and hold promise for regenerative medicine. Here we generated three hiPSC cells - IPi002-A/B/C - from primary amniotic fluid cells (AFCs) obtained via amniocentesis for the prenatal diagnosis of MARCH syndrome: Multinucleated neurons, Anhydramnios, Renal dysplasia, Cerebellar hypoplasia, and Hydranencephaly. These AFCs underwent reprogramming through non-integrative viral transduction and the resulting hiPSCs exhibited normal karyotype and expressed typical pluripotency markers.

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 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 score0.020
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.100
GPT teacher head0.347
Teacher spread0.247 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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