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Record W2406708336 · doi:10.3727/000000004772664833

Transgenic Sertoli Cells as a Vehicle for Gene Therapy

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

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.

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 score0.008

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 studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.005

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

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

Citations19
Published2004
Admission routes1
Has abstractyes

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