OCA‐B does not act as a transcriptional coactivator in T cells
Bibliographic record
Abstract
Abstract Pou2af1 encodes for OCA‐B, a coactivator of OCT‐1/2 transcription factors, which plays a key role in B‐cell maturation. The function of OCA‐B has also been studied in T cells, where T cells from Pou2af1 −/− mice have impaired functions, such as cytokine production and T follicular helper (Tfh) differentiation. Arguably, some of these T‐cell phenotypes may result from impaired T–B interactions, secondary to the well‐documented B‐cell defects in Pou2af1 −/− mice. Yet, Pou2af1 is actively transcribed in activated T cells, suggesting a T‐cell‐intrinsic role. To isolate the T‐cell‐intrinsic impact of Pou2af1 , we generated Pou2af1 fl/fl mice with specific genetic disruption of Pou2af1 either in all hematopoietic cells or exclusively in T cells. While we confirm that Pou2af1 is expressed in activated T cells, we surprisingly find that T‐cell cytokine production is not impaired in Pou2af1 ‐deficient T cells. Moreover, Pou2af1 ‐sufficient and Pou2af1 ‐deficient T cells have comparable transcriptome profiles, arguing against a T‐cell‐intrinsic role for Pou2af1 . In line with these observations, we demonstrate that Tfh maturation is influenced by T‐cell‐extrinsic deletion of Pou2af1 , as observed both in competitive bone marrow chimeras and in Pou2af1 fl/fl mice with specific deletion in B cells. Overall, this study provides strong evidence that Pou2af1 does not act as a transcriptional coactivator in T cells, and conclusively demonstrates that loss of OCA‐B in B cells indirectly impacts Tfh differentiation, clarifying the role of OCA‐B in the immune system.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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 teacher head, 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".