miR‐1 and miR‐301a Overexpression Impairs Collagen Gel Contraction in Human Mesenchymal Stem Cells
Bibliographic record
Abstract
Previous data in our lab suggests that human mesenchymal stem cells (MSCs) display a myofibroblast phenotype in vitro, coincident with a reduction in miR‐301a expression. We hypothesize that miR‐301a and miR‐1 signalling plays a role in modulating the MSC‐myofibroblast phenotype. The protocol received IRB approval. Human bone marrow derived MSCs were plated on collagen gel substrates and transfected with pre‐miR‐1 and pre‐miR‐301a. The reduction in collagen gel area was analyzed 48 hours post transfection and qRT‐PCR was used to analyze RNA profile and expression of myosin isoforms. MSCs were found to express both non‐muscle myosin (NMM) IIA and IIB, and readily contracted collagen gels in the basal state, which was increased with TGF‐β1. While overexpression of miR‐301a or miR‐1 both resulted in reduced collagen gel contraction, miR‐1 had a greater effect attenuating contractility. Overexpression with both miR‐1 and miR‐301a decreased NMMIIA expression, while no change was observed with NMMIIB expression. Overexpression of miR‐301a and miR‐1 reduced MSC contractility through reduced myosin expression. It is likely that miR‐1 and miR‐301a target additional proteins in these cells.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".