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Record W4406277512 · doi:10.1038/s41598-024-83954-8

Enhanced antibody responses in CD19-Cre mice

2025· article· en· W4406277512 on OpenAlexaff
Diogo M. Cunha, Sara Hernández‐Pérez, Pieta K. Mattila

Bibliographic record

VenueScientific Reports · 2025
Typearticle
Languageen
FieldImmunology and Microbiology
TopicT-cell and B-cell Immunology
Canadian institutionsInstitute of Infection and Immunity
Fundersnot available
KeywordsCD19B cellAntibodybreakpoint cluster regionBiologyImmunoglobulin class switchingImmunologyMolecular biologyAlleleT cellAntigenReceptorImmune systemGeneticsGene

Abstract

fetched live from OpenAlex

CD19-Cre is an important and widely used Cre-lox model for B cell-specific genetic manipulation in murine systems. Mice carrying one allele of CD19-Cre are, at the same time, rendered heterozygote for CD19, a crucial coreceptor of the B cell antigen receptor (BCR). As a result, CD19-Cre mice exhibit diminished expression levels of CD19, with potential, yet insufficiently examined, consequences in B cell activation. Here, we report significantly heightened antibody responses upon both T-dependent (NP-KLH) and T-independent (NP-Ficoll) immunizations as well as elevated levels of basal IgM immunoglobulin levels in CD19-Cre mice. In vitro, we observed enhanced class-switch recombination and a moderate reduction in B cell proliferation upon LPS and IFNγ stimulation, yet no drastic differences in BCR signalling. Our findings warrant careful consideration in the use of CD19-Cre mouse model in B cell research.

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)0.000
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 score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0070.002

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 head0.010
GPT teacher head0.269
Teacher spread0.260 · 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

Citations3
Published2025
Admission routes1
Has abstractyes

Explore more

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