Investigating the molecular and structural properties of the mutable collagenous tissue of Holothuria forskali, a European sea cucumber
Bibliographic record
Abstract
The mutable collagenous tissue (MCT) found in echinoderms, including sea cucumbers, is a unique connective tissue that can rapidly change its mechanical properties in response to certain stimuli. This tissue is constantly switching between different stiffness states! In sea cucumbers, the tissue properties are modulated by the release of molecular factors in the extracellular matrix, leading to the formation of transient cross-bridge between collagens fibrils. Surprisingly, despite this unique ability, there have been few studies on the molecular and structural characteristics of MCT compared to other collagen-based connective tissues. The present project aims to explore the molecular composition and the structure of the MCT constituting the dermis of the European sea cucumber Holothuria forskali. Proteomic analyses coupled to transcriptomics allowed to investigate the specific molecular components of the MCT. Obtained results showed an interesting combination of alpha 2, 3 and 5 chains in purified collagen fibrils. Furthermore, Raman and ATR-FTIR spectroscopy showed bands consistent with type I collagen, which was suggested by SEM observations of the fibrils. Additionally, characterization of the collagen structure and organization in the dermis of H. forskali but also of another species, Cucumaria frondosa, is being performed using polarized light microscopy, Raman, and X-ray scatering. Preliminary data seem to indicate a species-specific preferential alignment of collagen in holothuroids. Understanding the molecular and structural properties of MCT could have potential applications in the medical and engineering fields as an inspiraton for memory-shaped material with reversible viscoelastic state.
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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 | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".