Alterations of MEK1/2-ERK1/2, IFNγ and Smad2/3 associated Signalling pathways during cryopreservation of ASCs affect their differentiation towards VSMC-like cells
Bibliographic record
Abstract
Vascular smooth muscle cells (VSMCs) play essential roles in regulating blood vessel form and function and they are required for vascular tissue regeneration. Multipotent adipose derived stromal cells (ASCs) can be differentiated into VSMC-like cells, which can be used as a potential VSMC source for the development of vascular tissue. However, the effects of cryopreservation on the differentiation of ASCs towards VSMCs are poorly studied to date. This study compared fresh ASCs (FA) vs. cryopreserved ASCs (CA) with respect to their differentiation potential towards VSMC-like cells. The expression of contractile VSMC markers (such as smoothelin) and cell contractility were investigated. It was found that VSMC-like cells derived from CA expressed smoothelin gene and protein at lower levels and showed compromised contractility in response to vasoconstrictors, when compared with those derived from FA. Moreover, it was demonstrated that this negative effect of cryopreservation could be mediated by MEK1/2-ERK1/2, IFNγ and Smad2/3 associated Signalling pathways. Treatment of CA with MEK1/2-ERK1/2 activator or IFNγ neutralizing antibodies enhanced Smad2/3 phosphorylation and showed a rescue of the negative effect of cryopreservation on the differentiation of ASCs towards VSMC-like cells. These findings are important for defining approaches that may use cryopreserved ASCs for vascular tissue regeneration.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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) | 0.000 | 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".