Molecular cloning and characterization of LZIC, a novel gene encoding ICAT homologous protein with leucine zipper domain
Bibliographic record
Abstract
ICAT inhibits the interaction between beta-catenin and TCF transcription factors. As ICAT might be a tumor suppressor gene with the potential to negatively regulate the WNT - beta-catenin - TCF signaling pathway, ICAT related gene in the human genome draft sequence was searched for. Here, the LZIC gene, a novel gene encoding a 190-amino-acid polypeptide with leucine zipper domain and ICAT homologous domain, was cloned and characterized. Amino-acid identity between LZIC and ICAT in the ICAT homologous domain was 38%. The LZIC gene, consisting of at least 8 exons, was located in the human chromosome 1p36.32-pter region. The major 5.2-kb LZIC mRNA and minor 2.1-, 1.6-, and 1.0-kb LZIC mRNAs were expressed almost ubiquitously in normal human tissues. LZIC was expressed in all cancer cell lines examined in this study, and was significantly up-regulated in a gastric cancer cell line MKN74 and 5 cases of primary gastric cancer. As LZIC contains ICAT homologous domain, LZIC might inhibit the interaction between beta-catenin and TCF transcription factors, just like ICAT, and, up-regulation of LZIC in gastric cancer might be due to a negative feed-back mechanism to inhibit the WNT - beta-catenin - TCF signaling pathway.
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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".