CDC42 regulates the expression of superficial zone molecules in part through the actin cytoskeleton and myocardin‐related transcription factor‐A
Bibliographic record
Abstract
Osteoarthritis (OA) is a degenerative disease that initially manifests as loss of the superficial zone (SZ) of articular cartilage. SZ chondrocytes (SZC) differ in morphology from other chondrocytes as they are elongated and oriented parallel to the tissue surface. Proteoglycan 4 (PRG4) and tenascin C (TNC) are molecules expressed by SZC, which have been shown to be chondroprotective. Identification of the signalling pathway(s) regulating expression of SZ molecules may lead to a therapeutic target that can be used to delay or prevent the onset of OA. The hypothesis of this study is that expression of SZ molecules are regulated in part, by the CDC42-actin-myocardin-related transcription factor-A (MRTF-A) signaling pathway. SZC from bovine metacarpal-phalangeal joints were isolated and grown in monolayer culture. Each target in the CDC42-actin-MRTF-A pathway was inhibited and the effect on cell shape, actin cytoskeleton status, and expression of PRG4 and TNC were determined. Treatment with the CDC42 inhibitor ML141 decreased PRG4 and TNC expression, and correlated with increased cell circularity and G-/F-actin ratio. PRG4 and TNC expression were differentially regulated by actin depolymerizing agents, latrunculin B and cytochalasin D. Chemical inhibition of MRTF-A resulted in decreased expression of both PRG4 and TNC; however, specific knockdown by small interfering RNA only decreased expression of TNC indicating that TNC, but not PRG4, is regulated by MRTF-A. Although PRG4 and TNC expression are both regulated by CDC42 and actin, it appears to occur through different downstream signaling pathways. Further study is required to elucidate the pathway regulating PRG4. © 2018 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res 36:2421-2430, 2018.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".