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Record W2088420225 · doi:10.1073/pnas.0307040101

Selection of B lymphocytes in the periphery is determined by the functional capacity of the B cell antigen receptor

2004· article· en· W2088420225 on OpenAlexaff
Leo D. Wang, Jared E. Lopes, Anthony B. Cooper, May Dang-Lawson, Linda Matsuuchi, Marcus R. Clark

Bibliographic record

VenueProceedings of the National Academy of Sciences · 2004
Typearticle
Languageen
FieldImmunology and Microbiology
TopicT-cell and B-cell Immunology
Canadian institutionsUniversity of British Columbia
FundersNational Institute of General Medical SciencesNational Institutes of HealthUniversity of ChicagoArthritis Foundation
KeywordsBiologyB-cell receptorReceptorB cellAntigenbreakpoint cluster regionCytoplasmBone marrowCellCell biologyCell surface receptorMolecular biologyAntibodyImmunologyGenetics

Abstract

fetched live from OpenAlex

Within the B cell antigen receptor (BCR), the cytoplasmic tails of both Igalpha and Igbeta are required for normal B cell development and maturation. To dissect the mechanisms by which each tail contributes to development in vivo, Igbeta(-/-) mice were reconstituted with retroviruses encoding either wild-type Igbeta, an Igbeta molecule lacking a cytoplasmic tail (Igbeta(deltaC)) or one in which the cytoplasmic tail was derived from Igalpha (Igbeta(Calpha)). All constructs rescued B cell development and generated immature B cell populations in the bone marrow with similar expression levels of both Igbeta and membrane-bound IgM. In the periphery, receptor-surface density was inversely proportional to the number of Igalpha tails in the BCR. Although peripheral-surface-receptor levels differed, splenic B cells expressing either Igbeta or Igbeta(Calpha) responded similarly to stimulation through the BCR. Analysis of membrane-bound IgM and Igbeta expression revealed that peripheral-receptor expression was primarily determined by positive selection between the bone marrow and peripheral immature B cell populations. These data indicate that B cells are selected into the periphery on the basis of a common level of antigen responsiveness.

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 score0.002
Threshold uncertainty score0.006

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 communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.002

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 head0.026
GPT teacher head0.239
Teacher spread0.213 · 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

Citations17
Published2004
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the National Academy of SciencesSame topicT-cell and B-cell ImmunologyFrench-language works237,207