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Record W4414563865 · doi:10.1016/j.scr.2025.103837

Generation of two human induced pluripotent stem cell lines from patient-derived fibroblasts with severe congenital defects of the vertebrae and neural tube

2025· article· en· W4414563865 on OpenAlexafffund
Jin A Lee, J. Vanessa Conrad, Margaret Rusteika, Tarek H Drissi, T. Zhang, Shiying Liu, Lian Willetts, Cameron Semper, Derrick E. Rancourt, Li‐Fang Chu

Bibliographic record

VenueStem Cell Research · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPluripotent Stem Cells Research
Canadian institutionsUniversity of CalgaryAlberta Children's Hospital
FundersCanada Foundation for InnovationNatural Sciences and Engineering Research Council of CanadaCanada Research ChairsCanada Research Coordinating Committee
KeywordsNeural tubeInduced pluripotent stem cellGerm layerKaryotypeEmbryonic stem cellTeratomaCell cultureProgenitor cell

Abstract

fetched live from OpenAlex

Severe congenital defects of the vertebrae and neural tube arise from complex genetic, environmental, and nutritional factors during early pregnancy. Despite extensive research, the root causes of these conditions remain poorly understood. To establish patient-specific research resources, we generated two induced pluripotent stem cell (iPSC) lines from fibroblasts of patients with vertebral malformation and anencephaly. Both lines exhibit normal karyotypes and confirmed pluripotency through qPCR, immunofluorescence, differentiation into lineage-specific progenitors in vitro, and teratoma formation in mice. We anticipate that these iPSC lines will serve as valuable tools for investigating the mechanisms underlying abnormal vertebral and neural tube development.

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)0.000
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 score0.003
Threshold uncertainty score0.624

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 science0.0000.001
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 head0.040
GPT teacher head0.295
Teacher spread0.256 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

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