Multiple variants and a differential splicing pattern of kinectin in human hepatocellular carcinoma
Bibliographic record
Abstract
To extend the search for hepatocellular carcinoma (HCC) associated antigens with immunogenicity for clinical applications, we constructed a cDNA expression library using resected human HCC tissue sample and screened it by serological analysis of recombinant cDNA expression library (SEREX) with autologous and allogeneic sera. A total of 24 distinct antigens were isolated and kinectin was the antigen most frequently identified. We found that kinectin was alternatively spliced at four sites and obtained all eight theoretical forms of variant, six by SEREX and two by RT-PCR, from the different splicing combinations of the last three sites. In addition, the splicing patterns of four sites were analyzed. Variant containing D2 was overexpressed in cancerous tissues and this alteration may be tumor associated. The four splicing sites, the variants generated by alternative splicing, and the humoral immune response in HCC patients, may help to analyze the role of kinectin in human HCC cell biology.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
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".