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Record W2421145636 · doi:10.1007/978-1-61779-201-4_7

Transgene-Free Production of Pluripotent Stem Cells Using piggyBac Transposons

2011· article· en· W2421145636 on OpenAlexafffund
Knut Woltjen, Riikka H. Hämäläinen, Mark Kibschull, Maria Mileikovsky, András Nagy

Bibliographic record

VenueMethods in molecular biology · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPluripotent Stem Cells Research
Canadian institutionsLunenfeld-Tanenbaum Research InstituteMount Sinai Hospital
FundersStem Cell Network
KeywordsTransgeneInduced pluripotent stem cellBiologyTransposable elementGeneticsCell biologyEmbryonic stem cellGenomeGene

Abstract

fetched live from OpenAlex

Reprogramming of somatic cells to induced pluripotent stem cells (iPSCs) allows the derivation of -personalized stem cells. Transposon transgenesis is a novel and viable alternative to viral transduction methods for the delivery of reprogramming factors (Oct4, Sox2, Klf4, c-Myc) to somatic cells. Since transposons can be introduced as naked DNA using common plasmid transfection protocols, they provide a safer alternative to viral methods. piggyBac transposons are host-factor independent and integrate stably into the target genome, yet benefit from the unique characteristic of seamless removal mediated by transient expression of piggyBac transposase. Thus, piggyBac transposition provides an effective means to generate human, transgene-free iPSCs. The protocol describes the production of iPSCs from human embryonic fibroblasts, delivering reprogramming factors via plasmid transfection and piggyBac transposition.

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)0.001
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: Methods · Consensus signal: Methods
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.003

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 head0.064
GPT teacher head0.366
Teacher spread0.301 · 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
GenreMethods

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

Citations54
Published2011
Admission routes2
Has abstractyes

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