Decreasing stearoyl‐<scp>C</scp>o<scp>A</scp> desaturase‐1 expression inhibits β‐catenin signaling in breast cancer cells
Bibliographic record
Abstract
Stearoyl-CoA desaturase-1 (SCD1) is an endoplasmic reticulum anchored enzyme catalyzing the synthesis of monounsaturated fatty acids, mainly palmytoleyl-CoA and oleyl-CoA. Recent studies have revealed a function for SCD1 in the modulation of signaling processes related to cell proliferation, survival and transformation to cancer. We used MCF7 and MDA-MB-231 cells to analyze the role of SCD1 in the metastatic acquisition of breast cancer cells. Silencing SCD1 expression in breast cancer cells has no effect on cell viability but the levels of cell proliferation, cell cycle genes' expressions and the phosphorylation state of ERK1/2 MAPK are significantly reduced. Decreasing SCD1 expression also reduces the level of GSK3 phosphorylation, indicating higher activity of the kinase. Using cells fractionation, immunofluorescence and a β-catenin/TCF-responsive reporter construct, we demonstrate that lowering SCD1 expression leads to a decrease of β-catenin amounts within the nucleus and to inhibition of its transactivation capacity. Moreover, MDA-MB-231 cells transfected with the SCD1 siRNA show a lower invasive potential than the control cells. Taken together, our data demonstrate that low SCD1 expression is associated with a decrease in the proliferation rate of breast cancer cells associated with a decrease in ERK1/2 activation. SCD1 silencing also inhibits GSK3 phosphorylation, lowering β-catenin translocation to the nucleus, and, subsequently, its transactivation capacity and the expression of its target genes. Finally, we show that silencing SCD1 impairs the epithelial to mesenchymal transition-like behavior of the cells, a characteristic of metastatic breast 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) | 0.000 | 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 | 0.000 |
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".