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The role of the preBCR, the interleukin‐7 receptor, and homotypic interactions during B‐cell development

2000· article· en· W1984678866 on OpenAlexaff
Angela Stoddart, Heather E. Fleming, Christopher J. Paige

Bibliographic record

VenueImmunological Reviews · 2000
Typearticle
Languageen
FieldImmunology and Microbiology
TopicT-cell and B-cell Immunology
Canadian institutionsUniversity Health NetworkOntario Institute for Cancer Research
Fundersnot available
KeywordsBiologyLymphopoiesisCell biologyProgenitor cellReceptorB cellCytokineStem cellStromal cellCellular differentiationImmunologyImmune systemB-cell receptorAntibodyCancer researchGenetics

Abstract

fetched live from OpenAlex

Considerable progress has been made in defining intermediate stages in the process leading from stem cells to mature B cells. Cell-bound and secreted molecules direct the progression through these stages and regulate the selection of clones from which the immune repertoire emerges. In fact, a myriad of signals derived from B-cell progenitors themselves and the microenvironment in which they develop direct the differentiation process. These signals are provided by B-cell antigen receptors (BCR) and their surrogates, and by adhesion and cytokine receptors. The co-operation of these receptors to control survival, expansion, and differentiation of early B-cell progenitors is the topic of this review. Specifically, we will summarize recent findings from our laboratory demonstrating that preBCR expression lowers the threshold for interleukin (IL)-7 responsiveness. How signals initiated by these receptors may intersect at this critical point of B-cell selection will be discussed. At the stage following IL-7 responsiveness we have shown that interactions between B-cell progenitors themselves promote their differentiation to immunoglobulin-secreting B cells. We propose that one function of stromal cells, known to be central to B lymphopoiesis, is to promote critical preB-preB homotypic interactions and ensuing signals.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.745
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.012
GPT teacher head0.227
Teacher spread0.215 · 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; both teacher heads agree on what is shown here.

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

Citations35
Published2000
Admission routes1
Has abstractyes

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