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Record W2591652900 · doi:10.1038/protex.2017.026

Generation of FLIP and FLIP-FlpE targeting vectors for conditional and reversible gene knockouts

2017· article· en· W2591652900 on OpenAlexaff
Bon‐Kyoung Koo, Amanda Andersson-Rolf, Roxana C. Mustata, Alessandra Merenda, Jihoon Kim, William C. Skarnes

Bibliographic record

VenueProtocol Exchange · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCRISPR and Genetic Engineering
Canadian institutionsL'Alliance Boviteq
Fundersnot available
KeywordsFlipGene knockoutComputational biologyConditional gene knockoutGeneGeneticsBiologyComputer scienceCell biologyPhenotype

Abstract

fetched live from OpenAlex

Our recently described CRISPR-FLIP strategy facilitates the generation of bi-allelic conditional or reversible gene knockouts in various cell lines by co-delivery of the CRISPR/Cas9 system and a universal intronic cassette -FLIP and FLIP-FlpE.This protocol describes the design of FLIP and FLIP-FlpE targeting vectors for conditional and reversible gene knockouts, gene targeting in mouse embryonic stem cells and subsequent genetic manipulation with Cre and Flp recombinases.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.110
Threshold uncertainty score0.343

Codex and Gemma teacher scores by category

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.041
GPT teacher head0.363
Teacher spread0.322 · 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 teacher head, 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
Published2017
Admission routes1
Has abstractyes

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