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Record W2259371439 · doi:10.1385/1-59259-065-9:391

Incorporation of Genetically Modified Cells in Chicken Chimeras

2003· review· en· W2259371439 on OpenAlexaff
Laura D. Zajchowski, Shabaz Mohammed, Qingxia Wei, R. J. Etches

Bibliographic record

VenueHumana Press eBooks · 2003
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAnimal Genetics and Reproduction
Canadian institutionsUniversity of Guelph
FundersNational Institutes of Health
KeywordsGermlineTransgenesisTransfectionElectroporationBiologyTransgeneChimera (genetics)Somatic cellCell biologySelectable markerEmbryoExogenous DNAGenetically modified organismGeneticsMolecular biologyReproductive technologyCell cultureDNAGeneEmbryogenesis

Abstract

fetched live from OpenAlex

The production and study of transgenic mice has proven invaluable in dissecting the complex genetic regulatory events that control mammalian development. Although the chick embryo is a classic model system in developmental biology, its scope is limited by the inability to routinely and efficiently produce transgenic birds. One proposed strategy toward accessing the avian genome is the use of transgenic chimeric intermediates. As described in Chapter 37, dispersed chicken blastodermal cells (CBCs) from stage X (E-G&K) ( 1 ) embryos produce both somatic and germline chimeras when injected into the subgerminal cavity of recipient stage X (E-G&K) embryos. Transfection of the donor cells in vitro could lead to the production of chimeras capable of transmitting the transgene to their offspring. Avian transgenesis through chimeric intermediates is theoretically sound because CBCs can be efficiently transfected using both lipofection and electroporation and both lipofected and electroporated CBCs are capable of contributing to somatic and germline lineages ( 2 - 5 ). Transfection using liposome reagents has the disadvantages of requiring extended incubations and optimization of DNA/lipid ratios for each construct used. Although electroporation requires access to relatively expensive equipment, it is a rapid, physical method that may have fewer adverse effects on the pluripotentiality of transfected CBCs. Therefore, both transfection protocols are described in this chapter. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.003

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 head0.083
GPT teacher head0.315
Teacher spread0.232 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations3
Published2003
Admission routes1
Has abstractyes

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