Mechanical Stretching Stimulates Smooth Muscle Cell Growth, Nuclear Protein Import, and Nuclear Pore Expression through Mitogen-activated Protein Kinase Activation
Bibliographic record
Abstract
Although it is known that mechanical stretching of cells can induce significant increases in cell growth and shape, the intracellular signaling pathways that induce this response at the level of the cell nucleus is unknown. The transport of molecules from the cell cytoplasm to the nucleoplasm through the nuclear pore is a key pathway through which gene expression can be controlled in some conditions. It is presently unknown if mechanical stimuli can induce changes in nuclear pore expression and/or function. The purpose of the present investigation was to determine if mechanical stretching of a cell will alter nuclear protein import and the mechanisms that may be responsible. Vascular smooth muscle cells that were mechanically stretched exhibited an increase in proliferating cell nuclear antigen expression, cell number, and cell size within 24-48 h. Cells were microinjected with marker proteins for nuclear import. Nuclear protein import was significantly stimulated in stretched cells when compared with control. This was associated with an increase in the expression of nuclear pore proteins as detected by Western blots. Inhibition of the MAPK pathway blocked the stretch-induced stimulation of both cell proliferation and nuclear protein import. We conclude that nuclear protein import and nuclear pore density can adapt to mechanical stimuli during the process of cell growth through a MAPK-mediated mechanism.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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".