SpectraSage unveils specific proteolytic patterns of 20S on mono-ubiquitylated Tau proteoforms involved in neurodegeneration
Bibliographic record
Abstract
, age-related macular degeneration, glaucoma). A common feature of neurodegeneration is the progressive accumulation of amyloidogenic proteins such as beta-amyloid and tau protein (MAPT gene). There is compelling evidence that the aggregation propensity of tau protein is regulated by post-synthetic modifications including phosphorylation and ubiquitylation. These alterations are gaining increasing pathological relevance not only for brain tauopathies but also for the retinal/optic nerve degenerative diseases. In this regard, site-specific mono-ubiquitylated (Ub) tau proteoforms, have been recently identified in neurodegenerative brains. In this work, the cleavage patterns of the uncapped 20S proteasome acting on mono-Ub regio-isomers of tauK18, which covers the 4RD domain, have been unveiled by using SpectraSage, a novel proteomics software conceived for the MS1 identification of complex branched peptide and here introduced for the first time. Ub position was found to affect regio-isomers susceptibility to proteolysis and unexpectedly long Ub-tauK18 branched peptides have been identified, proving distinct catalytic preferences. These findings show that the 20S digests mono-Ub proteins through specific enzymatic mechanisms and the implications of the latter on neurodegeneration are discussed.
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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 | 0.001 |
| 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".