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Record W4412424905 · doi:10.1016/j.scr.2025.103775

Generation of a new human iPSC cell line (UOMi010-A) from a patient with hypophosphatasia

2025· article· en· W4412424905 on OpenAlexafffund
Abhay Srivastava, Cheryl R. Greenberg, Sanjiv Dhingra

Bibliographic record

VenueStem Cell Research · 2025
Typearticle
Languageen
FieldMedicine
TopicAlkaline Phosphatase Research Studies
Canadian institutionsUniversity of ManitobaSt. Boniface Hospital
FundersCanadian Institutes of Health Research
KeywordsHypophosphatasiaBiologyPeripheral blood mononuclear cellAlkaline phosphataseGeneMetabolic disorderEndocrinologyGeneticsEnzymeIn vitroBiochemistry

Abstract

fetched live from OpenAlex

Hypophosphatasia (HPP) is characterized by loss of function variants in the alkaline phosphatase (ALPL) gene that leads to impaired mineralization in bones and teeth. It is a rare inherited metabolic disorder which has prenatal, perinatal, juvenile, and adult-onset clinical presentations. In order to delineate molecular mechanisms underlying HPP and to screen new potential effective drug therapies, we have generated a patient specific iPSC cell line (UOMi010-A) from the patient's peripheral blood mononuclear cells (PBMCs). The patient is 62 yr. old female with a heterozygous pathogenic variant in the ALPL gene at c.551G > A (p.Arg184Gln).

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.011

Distilled classifier scores by category (both heads)

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 integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.153
GPT teacher head0.406
Teacher spread0.253 · 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 source (direct Gemma or distilled Codex), 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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