Cloning and characterization of an alternative splicing transcript of the gene coding for human cytidine deaminase
Bibliographic record
Abstract
Human cytidine deaminase (HCD) catalyzes the deamination of cytidine or deoxycytidine to uridine or deoxyuridine, respectively. The genomic sequence of HCD is formed by 31 kb with 4 exons and several alternative splicing signals, but an alternative form of HCD has yet to be reported. Here we describe the cloning and characterization of a small form of HCD, HSCD, and it is likely to be a product of alternative splicing of HCD. The alignment of DNA sequences shows that the HSCD matches HCD in 2 parts, except for a deletion of 170 bp. Based on the HCD genome organization, exons 1 and 4 should be joined and all sequences of introns and exons 2 and 3 should be deleted by splicing. This alternative splicing shifted the translation of the reading frame from the point of splicing. The estimated molecular mass is 9.8 kDa, and this value was confirmed by Western blot and mass spectroscopy after expressing the gene fused with glutathionine-S-transferase in the pGEX vector. The deletion and shift of the reading frame caused a loss of HCD activity, which was confirmed by enzyme assay and also with NIH3T3 cells modified to express HSCD and challenged against cytosine arabinoside. In this work we describe the identification and characterization of HSCD, which is the product of alternative splicing of the HCD gene.
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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 | 0.001 |
| 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".