Myosin 18A is a novel checkpoint regulator in B cell differentiation and antibody-mediated immunity
Bibliographic record
Abstract
Abstract The B cell antibody response is tightly regulated to facilitate pathogen-specific immunity and prevent self-reactivity, with actin cytoskeleton dynamics playing an important role in regulating B cell activation. The newly discovered unconventional myosin family protein Myosin 18A (Myo18A) is most closely related to Myo2A, and regulates important cellular processes in non-lymphoid cells. Myo18A is expressed in both precursor and mature B cells, and interacts with ezrin, Myo2A and tyrosine phosphorylated proteins suggesting that it may regulate physiological functions of B cells. We investigated the function of Myo18A in antibody-mediated immunity by generating B cell-conditional Myo18A-deficient mice. Basally, Myo18A deficiency led to expansion of both bone marrow progenitor B cells, and mature B cells in secondary lymphoid organs. Myo18A-deficient mice displayed serum IgM hyperglobulinemia with greater levels of splenic IgM secreting cells, with older mice switching to IgG1 hyperglobulinemia and autoantibody development. Immunization of Myo18A-deficient mice with inactivated influenza virus led to development of more potent neutralizing antibodies against the major antigen hemagglutinin, associated with early expansion and persistent accumulation of antigen-specific germinal center B cells. In vitro stimulation with TLR7 and BCR ligands revealed a greater ability of Myo18A-deficient B cells to differentiate into antibody secreting cells, and induce Blimp-1 expression. Overall, our study demonstrates that Myo18A is a novel negative regulator of B cell homeostasis, differentiation, self-tolerance and humoral immunity. Supported by an NIH grant (R21 AI117350) to Neetu Gupta
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
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".