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Regulation of cell survival during B lymphopoiesis: increased pre-B cell apoptosis in CD24-transgenic mouse bone marrow

2000· article· en· W2092246174 on OpenAlexaff
Liwei Lu, M S Chappel, R. Keith Humphries, D. G. Osmond

Bibliographic record

VenueEuropean Journal of Immunology · 2000
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmunotherapy and Immune Responses
Canadian institutionsBC Cancer AgencyMcGill University
Fundersnot available
KeywordsLymphopoiesisBiologyApoptosisBone marrowB cellFlow cytometryCD24B-1 cellCell biologyMolecular biologyImmunologyHaematopoiesisT cellStem cellAntibodyAntigen-presenting cellImmune systemBiochemistry

Abstract

fetched live from OpenAlex

CD24 (heat-stable antigen) is expressed in a developmentally regulated fashion by B cell precursors in mouse bone marrow (BM), but its role in B lymphopoiesis remains obscure. A slight overexpression of CD24 in transgenic (Tg) mice leads to depletion of B lymphoid cells in BM. The present study examines whether CD24 is involved in apoptotic selection of B lineage cells under normal microenvironmental conditions in vivo. Double immunofluorescence labeling and flow cytometry have been used to quantitate the apoptotic rates of phenotypically defined B cell populations in BM of CD24-Tg mice. Apoptosis of pre-B cells expressing cytoplasmic mu heavy chains of IgM but lacking surface (s)IgM was increased both ex vivo and in short-term culture, while the number of pre-B cells was halved compared to BM of normal mice. In contrast, B220+mu- pro-B cells and sIgM+ B lymphocytes showed no significant change in either apoptosis or number. The findings provide evidence that CD24 can play a role in vivo in modulating pre-B cell apoptosis, a quality control checkpoint in B cell development.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.006
GPT teacher head0.191
Teacher spread0.185 · 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 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

Citations23
Published2000
Admission routes1
Has abstractyes

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