Pan tissue analysis of human <i>NUMB</i> alternative splicing
Bibliographic record
Abstract
Abstract Alternative splicing (AS) of pre-mRNA generates multiple protein isoforms from a single gene. It is developmentally regulated and mis-regulation is associated with many diseases. Previous studies that examined AS of the cell fate determinant NUMB demonstrated that it undergoes a regulated switch in the inclusion of protein coding exons 3 and 9 during rodent development and the differentiation of human cell lines. Here we extend this work by comparing exon 9 and exon 3 inclusion levels of the human NUMB gene across different normal human tissues by analysis of RNA sequencing data deposited in the Genotype-Tissue Expression (GTEx) and the Vertebrate Alternative Splicing and Transcription (VastDB) databases. Our results support earlier studies and reveal specific Numb isoform expression patterns in previously unexamined tissue and cell types, suggesting that Numb isoform expression is regulated in the normal development of a broad range of tissue types throughout the body.
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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 | 0.001 | 0.001 |
| 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) | 0.002 | 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".