Single nucleotide polymorphisms and domain/splice variants modulate assembly and elastomeric properties of human elastin. Implications for tissue specificity and durability of elastic tissue
Bibliographic record
Abstract
Polymeric elastin provides the physiologically essential properties of extensibility and elastic recoil to large arteries, heart valves, lungs, skin and other tissues. Although the detailed relationship between sequence, structure and mechanical properties of elastin remains a matter of investigation, data from both the full-length monomer, tropoelastin, and smaller elastin-like polypeptides have demonstrated that variations in protein sequence can affect both polymeric assembly and tensile mechanical properties. Here we model known splice variants of human tropoelastin (hTE), assessing effects on shape, polymeric assembly and mechanical properties. Additionally we investigate effects of known single nucleotide polymorphisms in hTE, some of which have been associated with later-onset loss of structural integrity of elastic tissues and others predicted to affect material properties of elastin matrices on the basis of their location in evolutionarily conserved sites in amniote tropoelastins. Results of these studies show that such sequence variations can significantly alter both the assembly of tropoelastin monomers into a polymeric network and the tensile mechanical properties of that network. Such variations could provide a temporal- or tissue-specific means to customize material properties of elastic tissues to different functional requirements. Conversely, aberrant splicing inappropriate for a tissue or developmental stage or polymorphisms affecting polymeric assembly could compromise the functionality and durability of elastic tissues. To our knowledge, this is the first example of a study that assesses the consequences of known polymorphisms and domain/splice variants in tropoelastin on assembly and detailed elastomeric properties of polymeric elastin.
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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 | 0.001 |
| 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".