Getting a Grip on CD109’s Role in Dupuytren’s Disease: A Novel Molecular Target to Attenuate Digito-Palmar Fibrosis
Bibliographic record
Abstract
immunofluorescent staining and confocal microscopy .....38 3.3 CD109 levels are decreased in DD and adjacent PF fibroblasts when compared to CT fibroblasts, as detected by immunofluorescent staining and confocal microscopy.........40 3.4 Confirmation that CD109 protein levels are decreased in DD fibroblasts using immunofluorescent staining and 2.5-Dimensional analysis utilizing ZEN -ZEISS ...42 3.5 CD109 levels are decreased while the canonical TGF- signaling is increased in DD fibroblasts, as detected by western blot analysis...................43 3.6 Levels of CD58 in DD fibroblasts are similar to that of CT fibroblasts as detected by immunofluorescent staining and confocal microscopy..44 3.7 Analysis of the cell surface expression of CD58 and CD109 in DD fibroblasts as compared to that in CT fibroblasts, as detected by immunofluorescent staining, confocal microscopy imaging and digital quantification....45 3.8 Immunofluorescent Z-stacking and 3D rendering indicate lower CD109 levels across all planes and sections ..463.9 Blocking proteasomal degradation using MG132 leads to an increase in CD109 levels in DD fibroblasts ..
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.005 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".