Bibliographic record
Abstract
B-cell activation is triggered by the binding of antigen to the B-cell receptor (BCR). The early molecular events triggered by BCR binding of ligand have been well-characterized both biochemically and using optical microscopy techniques to visualize B-cell activation as it happens. However, we understand much less about the BCR before activation. For this reason, this review will address recent advances in our view of the structure, organization and dynamics of the resting, unstimulated BCR. These parameters have important implications for our understanding of the initiation of B-cell activation and will be discussed in the context of current models for BCR activation. These models include the conformation-induced oligomerization model, in which binding of antigen to monomeric BCR induces a pulling or twisting force causing conformational unmasking of a clustering interface in the Cμ4 domain. Conversely, the dissociation activation model proposes that BCRs exist in auto-inhibitory oligomers on the resting B-cell surface and binding of antigen promotes the dissociation of the BCR oligomer exposing phosphorylation residues within Igα/Igβ. Finally, the collision coupling model suggests that BCR are segregated from activating co-receptors or kinases and activation is associated with changes in BCR mobility on the cell surface, which allows for the functional interaction of these elements.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.006 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".