Molecular cloning and characterization of human WNT7B
Bibliographic record
Abstract
WNT signaling molecules are implicated in carcinogenesis and embryogenesis. Only partial coding sequence of human WNT7B is reported so far, and human genome draft sequence corresponding to the WNT7B gene in human chromosome 22q13 region is not available at present. Here, we have cloned human WNT7B cDNAs, spanning the complete coding sequence, by using rapid amplification of cDNA ends (RACE) and cDNA-PCR. WNT7B encoded a 349-amino-acid polypeptide with three N-linked glycosylation sites and consensus amino-acid residues conserved among members of the WNT family. WNT7B showed 77.1% total-amino-acid identity with WNT7A. The 4.0-kb WNT7B was moderately expressed in fetal brain, weakly expressed in fetal lung and kidney, and faintly expressed in adult brain, lung and prostate. Expression levels of WNT7B mRNA in a lung cancer cell line A549, esophageal cancer cell lines TE2, TE3, TE4, TE5, TE6, TE7, TE10, TE12, a gastric cancer cell line TMK1, and pancreatic cancer cell lines BxPC-3, AsPC-1 and Hs766T were significantly higher than that in fetal kidney. In addition, WNT7B was up-regulated in 5 out of 10 cases of primary gastric cancer. These results strongly suggest that WNT7B might play important roles in various types of human cancer.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.004 |
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".