Identification of variants of 5‐lipoxygenase mRNA in human B lymphocytic cell lines
Bibliographic record
Abstract
5-lipoxygenase (5-LO) catalyzes the initial reactions leading to the conversion of arachidonic acid into a number of biologically important mediators of inflammation. We seek to better understand the control of the biosynthesis of 5-LO products which is linked to inflammatory diseases such as asthma and atherosclerosis. In this study we used the human acute lymphocytic leukemia and Burkitt lymphoma cell lines REH and Raji, respectively, to investigate whether alternative variants of 5-LO mRNA are produced. Using reverse-transcription of extracted mRNA coupled with PCR, followed by molecular cloning and sequencing experiments, we have identified 4 different variants of 5-LO mRNA in these cell lines including the full length mRNA containing all 14 exons with the expected splicing sites. Amongst the alternative isoforms, one resulting from the exclusion of exon 13 was identified in both cell lines and was present in approximately 30% of the generated clones. This exclusion of exon 13 does not induce a reading frame shift but would result in a translation product missing 57 amino acids near the carboxyl terminal. Experiments are underway to determine whether the translation products of these variant isoforms are expressed and have an impact on the capacity of cells to synthesize 5-LO products. (Supported by the Canadian Institutes of Health Research and the Canada Research Chairs Program)
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".