The Primary Cilium as a Biomarker in the Hypoxic Adaptation of Bone Marrow-Derived Mesenchymal Stromal Cells: A Role for the Secreted Frizzled-Related Proteins
Bibliographic record
Abstract
A pivotal role in guiding mesenchymal stem cell (MSC) differentiation has recently been attributed to the primary cilium. This solitary, non-motile microtubule-based organelle emerging from the cell surface acts as a sensorial membrane structure reflecting developmental and adaptive processes associated with pathologies including human cystic kidney disease, skeletal malformations, obesity and cancer. Given that the intrinsic hypoxic adaptation of MSC remains poorly understood within ischemic tissues or hypoxic tumours, we questioned whether the hypoxia inducible factor-1α (HIF-1α) might be a downstream effector regulating cilium maintenance. We show that murine bone marrow-derived MSC cultured under hypoxic conditions (1.2% O(2)) lose their primary cilia in a time-dependent manner. Gene silencing of HIF-1α prevented cilia loss in hypoxic cultures, and generation of MSC expressing a constitutively active HIF-1α (MSC-HIF) was found to decrease primary cilium formation. A Wnt pathway-related gene expression array was also performed on MSC-HIF and indicated that the secreted Frizzled-related proteins (sFRP)-1, -3 and -4 were down-regulated, while sFRP-2 was up-regulated. Overexpression of recombinant sFRP-2 or gene silencing of sFRP-1, -3 and -4 in MSC led to primary cilium disruption. These results indicate a molecular signalling mechanism for the hypoxic disruption of the primary cilium in MSC involving an HIF-1α/sFRP axis. This mechanism contributes to our understanding of the adaptive processes possibly involved in the oncogenic transformation and tumour-supporting potential of MSC. Our current observations also open up the possibility for the primary cilia to serve as a biomarker in MSC adaptation to low oxygen tension within (patho)physiological microenvironments.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".