Suppression of Class Switch Recombination to IgA by RASA2 and RASA3 through Inhibition of TGF-β Signaling
Bibliographic record
Abstract
Abs play a pivotal role in adaptive immunity by binding to pathogens and initiating immune responses against infections. Processes such as somatic hypermutation and class switch recombination (CSR) enhance Ab affinity and effector functions. We previously carried out a CRISPR/Cas9 screen in the CH12F3-2 (CH12) lymphoma B cell line to identify novel factors involved in CSR. The screen showed that guide RNAs targeting both Rasa2 and Rasa3 genes were decreased in IgA-negative CH12 B cells, implying that these genes might suppress CSR. Indeed, CSR was increased when either Rasa2 or Rasa3 were knocked out in CH12 cells. Compared to controls, Rasa2-/- and Rasa3-/- CH12 cells had increased expression of activation-induced cytidine deaminase (AID) and Iα transcripts, providing an explanation for the increased CSR. The increased CSR, AID, and Iα expression in Rasa2-/- or Rasa3-/- CH12F3-2 is mediated through TGF-β stimulation. Indeed, we found that deletion of RASA2 or RASA3 promotes a shift from noncanonical to canonical TGF-β signaling through SMAD3. These results show that RASA2 and RASA3 are both novel regulators of TGF-β signaling in B cells, a pathway known to be essential for CSR to IgA.
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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) | 0.001 | 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 | 0.001 |
| 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".