Transcriptional Regulation of a Contractile Gene by Mechanical Forces Applied through Integrins in Osteoblasts
Bibliographic record
Abstract
We examined mechanotranscriptional regulation of the contractile gene, alpha-smooth muscle actin (SMA), in osteoblastic cells. Tensile forces were applied through collagen-coated magnetite beads to ROS17/2.8 cells. These cells were desmin-, vimentin+ and expressed low levels of SMA. After force application (480 piconewton/cell), SMA protein and mRNA were increased but beta-actin was unchanged. Beads coated with bovine serum albumin or poly-L-lysine produced no change of SMA. In cells transiently transfected with plasmids containing the SMA promoter fused to beta-galactosidase or green fluorescent protein coding sequences, SMA promoter activity was increased by approximately 60% after 4 h of force, whereas control (Rous sarcoma virus) promoter activity was unaffected. Transfections with beta-galactosidase or green fluorescent protein reporter constructs showed that force-loaded cells exhibited higher beta-galactosidase activity than cells without force. Cytochalasin D and latrunculin B inhibited force-induced increases of SMA promoter activity. Deletion analyses showed that SMA promoter activity was increased approximately 70% after force with a minimal construct containing 155 bp upstream of the translation start site. The force effect on the SMA promoter was abrogated in cells transfected with CArG-B box mutants. Gel mobility shift analyses of nuclear extracts showed strong binding to the CArG-B motif after force. We conclude that the CArG-B box is a force-responsive element in the SMA promoter.
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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) | 0.002 | 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".