Expression profiling of Wnt family of genes in normal and inflammatory bowel disease primary human intestinal myofibroblasts and normal human colonic crypt epithelial cells
Bibliographic record
Abstract
BACKGROUND: Wnt signaling regulates intestinal epithelial stem cell function. Wnt ligands bind Frizzled (Fz) receptors and low-density lipoprotein-receptor-related protein (LRP) 5 and 6. Secreted Frizzled-related protein (SFRP) and Dickkopf families inhibit Wnt signaling. Our aim was to study expression of Wnt family of genes in isolated intestinal myofibroblasts and crypt epithelial cells. METHODS: Myofibroblasts were isolated from normal colonic and small intestinal mucosal samples and those affected by ulcerative colitis (UC) and Crohn's disease. Expression of the Wnt family of genes was studied by polymerase chain reaction (PCR) array. Epithelial proliferation was studied using IEC-6 cells. RESULTS: Most of the myofibroblast isolates expressed Wnt2, Wnt5A, Wnt5B, Fzd1, Fzd2, Fzd4, Fzd6, Fzd7, Fzd8, LRP6, Dickkopf1, and SFRP1. Compared to myofibroblasts isolated from normal colonic mucosal samples, real-time reverse transcription-PCR studies (using additional isolates) showed significantly reduced expression of SFRP1 in UC myofibroblasts (3.34-fold reduction, P < 0.01). Recombinant SFRP1 inhibited proliferation of IEC-6 epithelial cells. In colonic crypt epithelial cells, expression of Wnt ligands and their inhibitors was generally either absent or very weak. By contrast, all the crypt epithelial preparations expressed Fzd1, Fzd5, Fzd7, Fzd8, and LRP6. CONCLUSIONS: Human intestinal myofibroblasts expressed a number of Wnt ligands, their receptors, and inhibitors. In contrast, colonic crypt epithelial cells predominantly expressed Wnt receptors. Compared to myofibroblasts isolated from normal colonic mucosa, those affected by UC showed significantly reduced expression of SFRP1. Since reduced SFRP1 expression has been associated with malignancy, low myofibroblast expression of this Wnt inhibitor may be implicated in increased risk of cancer in UC.
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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 | 0.000 |
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".