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Record W2406708336 · doi:10.3727/000000004772664833

Transgenic Sertoli Cells as a Vehicle for Gene Therapy

2004· review· en· W2406708336 on OpenAlex
Jannette M. Dufour, Paul F. Gores, Richelle Hemendinger, Dwaine F. Emerich, Craig R. Halberstadt

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.

Bibliographic record

VenueCell Transplantation · 2004
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCRISPR and Genetic Engineering
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsGenetic enhancementTransgeneGeneSertoli cellBiologyGenetically modified mouseImmune systemGene deliveryFunction (biology)Genetically modified organismCell therapyStem cellImmunologyCell biologyComputational biologyGeneticsSpermatogenesisEndocrinology

Abstract

fetched live from OpenAlex

Gene therapy involves the manipulation of genetic material to replace defective or deficient proteins to restore function in disease states. These genes are introduced into cells by mechanical, chemical, and biological approaches. To date, cell-based gene therapy has been hampered by the lack of an abundant, safe, and immunologically acceptable source of tissue. As an alternative, transgenic animals designed to produce therapeutic proteins could overcome some of the issues facing gene therapy but the problem of immune rejection of the tissue remains. This article reports on recently published work indicating the potential to use transgenic Sertoli cells surviving in an allogeneic host by virtue of their ability to create a locally immunoprivileged environment, thereby providing for the continued delivery of a therapeutic protein to the systemic circulation.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.575
Threshold uncertainty score1.000

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 head0.019
GPT teacher head0.330
Teacher spread0.311 · 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