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Record W2809595124 · doi:10.1089/crispr.2017.0020

TIE: A Method to Electroporate Long DNA Templates into Preimplantation Embryos for CRISPR-Cas9 Gene Editing

2018· article· en· W2809595124 on OpenAlex
Hooman Bagheri, Hana Friedman, Harry Shao, Yumaine Chong, Chiu‐An Lo, Farida Emran, Ibrahim Kays, Xiang-Jiao Yang, Ellis Cooper, Brian E. Chen, Katherine A. Siminovitch, Alan C. Peterson

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueThe CRISPR Journal · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCRISPR and Genetic Engineering
Canadian institutionsMount Sinai HospitalLunenfeld-Tanenbaum Research InstituteMcGill University Health CentreMcGill University
FundersCanadian Institutes of Health ResearchMcGill University
KeywordsElectroporationCRISPRGenome editingCas9MicroinjectionPlasmidBiologyEndonucleaseOligonucleotideDNATemplateComputational biologyGeneMolecular biologyCell biologyGeneticsComputer science

Abstract

fetched live from OpenAlex

Precise genome editing using CRISPR typically requires delivery of guide RNAs, Cas9 endonuclease, and DNA repair templates. Both microinjection and electroporation effectively deliver these components into mouse zygotes provided the DNA template is an oligonucleotide of only a few hundred base pairs. However, electroporation completely fails with longer double-stranded DNAs leaving microinjection as the only delivery option. Here, we overcome this limitation by first injecting all CRISPR components, including long plasmid-sized DNA templates, into the sub-zona pellucida space. There they are retained, supporting subsequent electroporation. We show that this simple and well-tolerated method achieves intracellular reagent concentrations sufficient to effect precise gene edits.

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.

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)0.001
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: none
Teacher disagreement score0.661
Threshold uncertainty score0.597

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.012
GPT teacher head0.368
Teacher spread0.356 · 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