Pax5 isoform expression and mutation status in B‐cell chronic lymphocytic leukemia
Bibliographic record
Abstract
The transcription factor Pax5 possesses oncogenic properties and is often deregulated in many subsets of B‐cell lymphomas and leukemias. Furthermore, the Pax5 transcript is known to be alternatively spliced, producing a wide variety of isoforms. It has been recently suggested that deregulation of Pax5 isoforms may lead to these B‐cell malignancies. Since aberrant splicing is linked to human diseases, we hypothesized that the deregulation of Pax5 isoforms may result from a defective splicing mechanism caused by mutations in splice sites. Therefore, we have attempted to establish a link between the pattern of expressed Pax5 isoforms in B‐cell chronic lymphocytic leukemia (B‐CLL) patients and mutations in splice sites. These experiments were performed using PCR amplification of Pax5 in B‐CLL patients in conjunction with immunodetection of the protein isoforms by Western blot. Sequencing of PCR products is then used to identify mutations. Our results indicate that full length Pax5 is predominantly expressed in both B‐CLL and healthy donors. However, a number of newly identified isoforms were also expressed in patient samples. Additionally, recurrent mutations were identified in a number of patients. The relevance of these mutations to patterns of isoform expression is currently studied. This research is supported by a Canadian Institute of Health Research (RPP) Grant and an Atlantic Innovation Fund Grant to RJO.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".