MétaCan
Menu
Back to cohort
Record W4385647235 · doi:10.1016/j.scr.2023.103178

Generation of the human iPSC lines AKOSi011-A carrying the mutation p.Pro65Ser/p.Asp35T and AKOSi012-A, carrying the mutation p.Tyr231His, derived from FAHN patient fibroblasts

2023· article· en· W4385647235 on OpenAlexaff
Fatima Efendic, Saskia Krohn, Hugo Murua Escobar, Sunita Venkateswaran, Steffany A. L. Bennett, Andreas Hermann, Moritz J. Frech

Bibliographic record

VenueStem Cell Research · 2023
Typearticle
Languageen
FieldNeuroscience
TopicNeurological diseases and metabolism
Canadian institutionsUniversity of OttawaChildren's Hospital of Eastern Ontario
FundersNBIA Disorders AssociationHermann und Lilly Schilling-Stiftung für Medizinische ForschungEli Lilly and Company
KeywordsBiologyGerm layerSendai virusInduced pluripotent stem cellMutationGeneGeneticsKaryotypeNeurodegenerationCancer researchMolecular biologyDiseaseChromosomeEmbryonic stem cellPathology

Abstract

fetched live from OpenAlex

Fatty acid hydroxylase-associated neurodegeneration (FAHN) is a hereditary neurodegenerative disease caused by mutations in the FA2H gene. Patients show a wide range of neurological symptoms and an abnormal myelination. Here we describe the generation of the human induced pluripotent stem cell (hiPSC) lines AKOSi011-A and AKOSi012-A, derived from FAHN-patient fibroblasts, carrying the compound heterozygous mutation p.Pro65Ser/p.Asp35Tyr and the homozygous mutation p.Tyr231His, respectively. The hiPSC lines were generated using a non-integrating Sendai virus. The obtained hiPSCs show an unobtrusive karyotype, carry the mutations of the original fibroblasts, express pluripotency markers and can differentiate into cells of the three germ layers.

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 score0.009

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)0.0030.001

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 head0.199
GPT teacher head0.358
Teacher spread0.159 · 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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueStem Cell ResearchSame topicNeurological diseases and metabolismFrench-language works237,207