The Effects of Collagen Type I Topography on Myoblasts In Vitro
Why this work is in the frame
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Bibliographic record
Abstract
Cells respond to a variety of cues from their environment, which can include chemical, mechanical, and topographical signals. The differentiation of myoblasts requires a combination of signals. Myoblast fusion is strongly influenced by the chemical nature of the surrounding matrix and can be affected by mechanical stimulation. Studies also have shown that a large variety of cell types also are influenced by details of surface topography of a substrate as small as 44 nm. Cells grown on a collagen-coated surface differentiate more readily than those grown in the absence of the extracellular matrix protein. It is not known whether the effects of myoblast interaction with collagen are due solely to chemical interactions or if myoblasts also respond to the topography of collagen type I fibers. To determine the importance of collagen-generated topographical signals on myoblast development, cells were cultured and differentiated in vitro on surfaces that had been coated with either soluble collagen type I or fibrous collagen type I. Both surfaces present the same chemical interactions, but the additional topographical signals lead to differences in cell morphology, adhesion, spreading rates and, proliferation. Cells on the fibrous form of collagen are more stellate, form more adhesion plaques, spread faster, and proliferate at a faster, rate than cells on a surface of soluble collagen. Our data indicate that topographical signals play a role in early muscle development, but that other or additional signaling pathways regulate differentiation.
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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 | 0.001 |
| 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 it