A dynamic biointerface in mussels mediated by a mechanoresponsive intermediate filament-based biopolymer
Bibliographic record
Abstract
Mussels fabricate a distinctive biointerface that bridges their non-living biopolymeric byssus (used for anchoring in seashore habitats) with their soft-living tissue. Occurring in a region known as the byssus stem root, this biointerface is at once strong, yet also capable of on-demand release under apparent neurobiological control by the mussel, but this is not well understood. Here, we identify and sequence a previously unknown intermediate filament protein (MSP-1) that based on immunohistochemical staining and spectroscopic mapping comprises the surface of the stem root in direct contact with billions of motile cilia emerging from the living tissue. Further structural analysis indicates that MSP-1 is secreted as an α-helical coiled-coil but is mechanically converted subsequently to a β-sheet conformation. We posit that this mechanoresponsive conversion has a mechanical function in toughening the interface, but possibly also as a mechanosensory mechanism given its intimate contact with cilia in the living tissue. Mussels produce a dynamic bio-interface between their living tissue and their non-living byssus attachment, relevant for design of implant devices. Here, authors discover a mechanoresponsive protein that may mediate mechanosensing at the interface.
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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".