Dysregulated <i>SASS6</i> expression promotes increased ciliogenesis and cell invasion phenotypes
Bibliographic record
Abstract
Abstract Centriole and/or cilia defects are characteristic of cancer cells and have been linked to cancer cell invasion. However, the mechanistic basis of these effects is unknown. Spindle assembly abnormal protein 6 homolog (SAS-6) is essential for centriole biogenesis and cilia formation. In cycling cells, SAS-6 undergoes APC Cdh1 -mediated targeted degradation by the 26S proteasome at the end of mitosis. Little is known about the function of SAS-6 outside of centrosome biogenesis. To examine this, we expressed a non-degradable SAS-6 mutant (SAS-6ND). Expression of SAS-6ND led to an increase in ciliation and cilia-dependent cell invasion, and caused an upregulation of the YAP/TAZ pathway. YAP/TAZ or ciliogenesis inhibition prevented SAS-6-induced invasion. SAS-6ND caused increased actin alignment and stress fiber coherency, and nuclear flattening known to promote YAP nuclear import. Finally, data from The Cancer Genome Atlas showed that SAS-6 overexpression is associated with poor prognosis in various cancers. Our data provide evidence for a defined role of SAS-6 in cancer cell invasion and offers mechanistic insight into the role of YAP/TAZ in this cilia-sensitive process. Synopsis SAS-6 overexpressing cells show increased ciliation, actin cytoskeleton reorganization, cell flattening, YAP pathway activation and increased invasion
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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) | 0.002 | 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".