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Record W2376280869

Functions of reconstituted T cells in vitro by grafting with mixed fetal thymus in nude mice

2004· article· en· W2376280869 on OpenAlexaff
Xie Zhi

Bibliographic record

VenueDi-san junyi daxue xuebao · 2004
Typearticle
Languageen
FieldMedicine
TopicXenotransplantation and immune response
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsTransplantationCD8SplenocyteMixed lymphocyte reactionIn vitroImmunologyFlow cytometryBiologyT cellT lymphocyteAntigenCytotoxic T cellNude mouseImmune systemMolecular biologyAndrologyMedicineInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

Objective To establish the model of mixed thymus transplantation by grafting with fetal F344 rat thymus and BALB/c mouse thymus in nude mice and to observe the functions of the reconstituted T cells in the recipients. Methods Transplantation model was established by implantation of the mixed fetal thymic tissue under the kidney capsule in nude mice. The reconstitution of T cell subsets in peripheral blood of the recipients was detected by flow cytometry. The in vitro functional status of the reconstituted T cells in the nude mice and mouse splenocytes was stimulated with Con A mitogens, allogeneic and xenogeneic splenocytes. Results At 3 months after mixed thymus transplantation, efficient reconstitution of mouse CD4 +T cells and CD8 +T cells in the peripheral blood was observed. The levels of mouse CD4 +T cells and CD8+T cells in peripheral white blood cells were similar to those of the normal euthymic mice. Con A stimulation and mixed lymphocyte reaction assay revealed that mouse lymphocytes showed a strong response to either the stimulation of allogeneic (C57BL/6 mouse) cells or Con A mitogens, and were tolerant for donor F344 rat antigens. Conclusion Mixed thymus transplantation can support the reconstitution of CD4 +T cells and CD8 +T cells in nude mice. Furthermore, the function of reconstituted T cells is normal in vitro .

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 score0.034
Threshold uncertainty score0.702

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.009
GPT teacher head0.229
Teacher spread0.220 · 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
Published2004
Admission routes1
Has abstractyes

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