MétaCan
Menu
Back to cohort
Record W2586717813 · doi:10.1016/j.scr.2017.02.001

Induced pluripotent stem cells derived from Bernard-Soulier Syndrome patient's peripheral blood cells with a p.Phe55Ser mutation in the GPIX gene

2017· article· en· W2586717813 on OpenAlexfundno aff
Lourdes López-Onieva, Mar Lamolda, Rosa Montes, Marı́a Luisa Lozano, Vicente Vicente, José Rivera, Verónica Ramos–Mejía, Pedro J. Real

Bibliographic record

VenueStem Cell Research · 2017
Typearticle
Languageen
FieldMedicine
TopicPlatelet Disorders and Treatments
Canadian institutionsnot available
FundersInstituto de Salud Carlos IIIMinisterio de Economía y CompetitividadUniversidad de GranadaHealth Sciences Centre Foundation
KeywordsInduced pluripotent stem cellBiologyPeripheral blood mononuclear cellMutationStem cellGermline mutationMolecular biologyGermlineGeneticsCancer researchImmunologyGeneEmbryonic stem cell

Abstract

fetched live from OpenAlex

Bernard Soulier Syndrome (BSS) is a rare autosomal platelet disorder characterized by mutations in the von Willebrand factor platelet receptor complex GPIb-V-IX. In this work we have generated an induced pluripotent stem cell (BSS3-PBMC-iPS4F8) from peripheral blood mononuclear cells of a BSS patient with a p.Phe55Ser mutation in the GPIX gene. Characterization of BSS3-PBMC-iPS4F8 showed that these cells maintained the original mutation present in the BSS patient, expressed pluripotent stem cell markers and were able to differentiate into the three germline layers. This new iPSC line will contribute to better understand the biology of BSS disease.

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 score0.002
Threshold uncertainty score0.008

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)0.0020.001

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 head0.046
GPT teacher head0.300
Teacher spread0.254 · 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

Citations1
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueStem Cell ResearchSame topicPlatelet Disorders and TreatmentsFrench-language works237,207