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Estimating Thymic Function Through Quantification of T-Cell Receptor Excision Circles

2007· review· en· W50521900 on OpenAlexaff
Marie-Lise Dion, Rafick‐Pierre Sékaly, Rémi Cheynier

Bibliographic record

VenueMethods in molecular biology · 2007
Typereview
Languageen
FieldImmunology and Microbiology
TopicT-cell and B-cell Immunology
Canadian institutionsUniversité de MontréalMcGill UniversityCentre Hospitalier de l’Université de Montréal
FundersNational Institutes of Health
KeywordsT-cell receptorBiologyImmune systemReceptorImmunologyFunction (biology)RepertoireMitosisTransplantationT cellCellCancer researchCell biologyGeneticsMedicineInternal medicine

Abstract

fetched live from OpenAlex

Analysis of immune reconstitution is of major importance in clinical settings such as following bone marrow transplantation or during anti-retroviral treatment of HIV-infected patients. In these patients, thymic function is essential for the reconstitution of a diversified T-cell receptor (TCR) repertoire. During thymopoiesis, several genetic rearrangements lead to the generation of fully functional TCR. By-products of these processes, the T-cell receptor excision circles (TRECs), are present in cells exported from the thymus but do not replicate during mitosis; they can thus be used as molecular markers for recent thymic emigrants. We demonstrate how thymic function can be assessed in a quantitative and noninvasive fashion in humans by estimating intrathymic precursor T-cell proliferation through the quantification of distinct TREC molecules in peripheral blood cells.

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)0.001
metaresearch head score (Gemma)0.001
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: Methods · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.004

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 head0.077
GPT teacher head0.414
Teacher spread0.337 · 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
GenreMethods

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

Citations81
Published2007
Admission routes1
Has abstractyes

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