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Record W2988948949 · doi:10.1016/j.scr.2019.101582

Generation of an induced pluripotent stem cell line (UBCi001-A) from a presymptomatic individual carrying the R418X progranulin gene mutation

2019· article· en· W2988948949 on OpenAlexafffund
Jonathan Frew, Xiujuan Wu, Ging‐Yuek Robin Hsiung, Howard Feldman, Ian R. Mackenzie, Haakon B. Nygaard

Bibliographic record

VenueStem Cell Research · 2019
Typearticle
Languageen
FieldMedicine
TopicAmyotrophic Lateral Sclerosis Research
Canadian institutionsUniversity of British Columbia
FundersCanadian Institutes of Health ResearchWeston Brain Institute
KeywordsInduced pluripotent stem cellBiologyGerm layerNonsense mutationMutationProgenitor cellStem cellCell biologyGeneticsCancer researchMolecular biologyGeneEmbryonic stem cellMissense mutation

Abstract

fetched live from OpenAlex

Induced pluripotent stem cells (iPSCs) were generated from peripheral blood-derived erythroid progenitor cells obtained from a presymptomatic female carrying the heterozygous R418X progranulin (GRN) nonsense mutation, known to cause autosomal dominant frontotemporal lobar degeneration. Erythroid progenitor cells were reprogrammed into iPSCs using integration free episomal plasmids which enables exogenous expression of the Yamanaka factors. The pluripotent potential of the iPSCs was validated through expression of pluripotency factors and their capacity to differentiate into the three primary germ layers. The cells were confirmed to carry the described mutation and shown to have a normal karyotype.

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 score0.005
Threshold uncertainty score0.016

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.002

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 head0.183
GPT teacher head0.368
Teacher spread0.185 · 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

Citations4
Published2019
Admission routes2
Has abstractyes

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