N‐terminomics and proteomics analysis of Calpain‐2 reveal key proteolytic processing of metabolic and cell adhesion proteins
Bibliographic record
Abstract
Aberrant levels of the cysteine protease Calpain-2 have been linked to neurodegeneration, inflammation, and cancer, yet our understanding of this protease and its substrates remains limited. Systematic studies to identify Calpain-2 substrates have been largely confined to peptide libraries or in vitro studies, which fail to represent physiological cellular conditions and physiologically relevant substrates. To identify existing and novel Calpain-2 substrates, we used a genetic approach to knockout Calpain-2 in the THP-1 human monocyte-like cells, followed by proteomic and N-terminomic/TAILS mass spectrometry approaches to identify Calpain-2 substrates. We identified 51 substrates that may be cleaved directly by Calpain-2 or indirectly by downstream proteases. The direct cleavage of selected substrates by Calpain-2 was confirmed using in vitro assays. Finally, metabolomics analysis identified a role for Calpain-2 in the regulation of pyrimidine and glutathione metabolism. Our unbiased and quantitative mass spectrometry analytical pipeline provides new evidence on the physiological functions of Calpain-2 and its newly identified substrates in THP-1 cells.
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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 | 0.001 | 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 | 0.001 |
| 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".