Caspase-mediated cleavage events hidden by secondary proteolysis during apoptosis
- Journal
- Protein science : a publication of the Protein Society (Q1)
- Published
- 1 August 2026
- Study design
- Unclassified
- Evidence level
- Level 5, Expert Opinion (CEBM 5)
- Authors
- Fatemeh Fotouhi, Erik Gomez-Cardona, Jainilkumar Patel, Olivier Julien, Howard Fearnhead
- PMID
- 42477898
- DOI
- 10.1002/pro.70724
Why clinicians should know about it
- Picked for Biochemistry (medical) (paper of the day, 22 July 2026).
Abstract
Caspases are cysteine proteases that cleave specific proteins to control a range of cellular processes including cell death, inflammation, and differentiation. Proteomic approaches, like N-terminomics, have been central to identifying both cleaved proteins and where they are cleaved. We recently reported N-terminomics on differentiating and dying C2C12 myoblasts, identifying many new caspase substrates and cleavage sites. Here, we present a further analysis of this dataset demonstrating that there are caspase substrates "hidden" in our and in other N-terminomics datasets. We propose that for a subset of proteins, caspase cleavage is followed by removal of two amino acids from the neo-N-terminus by a dipeptidyl peptidase (DPP). As the peptide sequence of the neo-N-terminus is used to identify the cleavage site, this hides the caspase-mediated cleavage event. The implications of this are that N-terminomics datasets can be used to reveal hitherto unidentified caspase substrates and provide more information on cell-fate decisions. In C2C12 myoblasts, we have shown that cleavage of "hidden" substrates in apoptotic myoblasts that is absent from differentiating myoblasts (which also contain active caspase-3), suggesting that cleavage may identify apoptotic cells. A better understanding of the interplay between caspases and other proteases and their sequential action on caspase substrates may allow further elucidation of cell fate decisions.
Abstract as published, via PubMed.
For healthcare professionals. The summary is generated by AI from the published abstract, and the evidence level is assigned automatically from the study design on the Oxford CEBM hierarchy. Neither is medical advice. Read the full paper before changing practice.