Characterization of new circular RNA products from the <i>Pax-5</i> gene in B-cells
Bibliographic record
Abstract
Abstract Circular RNAs (circRNAs) represent a new class of RNAs which are highly expressed and conserved in mammalian cells. CircRNAs regulate many biological processes and their aberrant expression is often associated with disease progression. We have identified and characterized circRNAs generated from the Pax-5 gene, an essential transcription factor for B-cell lineage commitment and also, a potent oncogene. Given the pivotal role of Pax-5 gene products in B-cell development and function, we set out to profile Pax-5 circular RNA (circPax5) expression and elucidate their role in B-cell biology. We identify and map five major circPax5 transcript isoforms which are found in B-cell lines and primary B-cells isolated from peripheral blood mononuclear cells (PBMCs) of healthy donors. These circPax5 variants consists of circular single-stranded RNA sequences corresponding to: i) exons 2–3; ii) exons 2–4; iii) exons 2–5; iv) exons 2–6; and, v) exons 2–8 of the human Pax-5 gene. Using TaqMan assays designed to target each unique circPax5 junction region, we found that circPax5 expression profiles vary with B-cell developmental stages. Furthermore, circPax5 exons 2–5 and 2–6 are overexpressed in patients suffering from chronic lymphocytic leukemia (CLL). Functionally, we observe that circPax5 products modulate B-cell processes and interact by sponging of specific micro-RNAs. Altogether, we identify new genetic products (i.e. circRNAs) generated from a prominent immune-regulating gene (Pax-5). The functional elucidation of circPax5 products will potentially bring insight into the function and signaling of B-cell processes and disease.
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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 | 0.001 |
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".