<scp>CCN2</scp> expression by fibroblasts is not required for cutaneous tissue repair
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The CCN family of matricellular proteins, which includes CCN2 and CCN1, is believed to have a major in vivo role in controlling tissue morphogenesis and repair. In adult skin, the proadhesive matricellular protein connective tissue growth factor (CTGF/CCN2) is specifically up-regulated in fibrosis and wound healing. In mice, CCN2 is required for dermal fibrogenesis, but whether CCN2 is required for cutaneous tissue repair is unknown. To address this question, in this report we subjected adult mice bearing a fibroblast-specific deletion of CCN2 to the dermal punch model of cutaneous tissue repair. Loss of CCN2 did not appreciably affect the kinetics of tissue repair, collagen content, or the number of α-smooth muscle actin-positive cells. CCN1 (cyr61), which has in vitro effect similar to CCN2, is also induced in cutaneous tissue repair. Fibroblast-specific CCN1/CCN2 double knockout mice were also generated; loss of both CCN1 and CCN2 together did not appreciably affect cutaneous tissue repair. However, loss of CCN2 resulted in impaired recruitment of NG2-positive pericyte-like cells to the wound area. Collectively, these results indicate that neither CCN2 nor CCN1 is essential for cutaneous tissue repair; CCN2 appears to be required for recruitment of pericyte-like cells and may represent a specific antifibrotic target.
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.
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) | 0.000 | 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