Alternative Splicing Controlled by Heterogeneous Nuclear Ribonucleoprotein L Regulates Development, Proliferation, and Migration of Thymic Pre-T Cells
Bibliographic record
Abstract
The regulation of posttranscriptional modifications of pre-mRNA by alternative splicing is important for cellular function, development, and immunity. The receptor tyrosine phosphatase CD45, which is expressed on all hematopoietic cells, is known for its role in the development and activation of T cells. CD45 is known to be alternatively spliced, a process that is partially regulated by heterogeneous nuclear ribonucleoprotein (hnRNP) L. To investigate the role of hnRNP L further, we have generated conditional hnRNP L knockout mice and found that LckCre-mediated deletion of hnRNP L results in a decreased thymic cellularity caused by a partial block at the transition stage between double-negative 4 and double-positive cells. In addition, hnRNP L(-/-) thymocytes express aberrant levels of the CD45RA splice isoforms and show high levels of phosphorylated Lck at the activator tyrosine Y394, but lack phosphorylation of the inhibitory tyrosine Y505. This indicated an increased basal Lck activity and correlated with higher proliferation rates of double-negative 4 cells in hnRNP L(-/-) mice. Deletion of hnRNP L also blocked the migration and egress of single-positive thymocytes to peripheral lymphoid organs in response to sphingosine-1-phosphate and the chemokines CCL21 and CXCL12 very likely as a result of aberrant splicing of genes encoding GTPase regulators and proteins affecting cytoskeletal organization. Our results indicate that hnRNP L regulates T cell differentiation and migration by regulating pre-TCR and chemokine receptor signaling.
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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) | 0.001 | 0.000 |
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".