The 20S Proteasome Splicing Activity Discovered by SpliceMet
pmid: 20613855
pmc: PMC2891702
The 20S Proteasome Splicing Activity Discovered by SpliceMet
The identification of proteasome-generated spliced peptides (PSP) revealed a new unpredicted activity of the major cellular protease. However, so far characterization of PSP was entirely dependent on the availability of patient-derived cytotoxic CD8+ T lymphocytes (CTL) thus preventing a systematic investigation of proteasome-catalyzed peptide splicing (PCPS). For an unrestricted PSP identification we here developed SpliceMet, combining the computer-based algorithm ProteaJ with in vitro proteasomal degradation assays and mass spectrometry. By applying SpliceMet for the analysis of proteasomal processing products of four different substrate polypeptides, derived from human tumor as well as viral antigens, we identified fifteen new spliced peptides generated by PCPS either by cis or from two separate substrate molecules, i.e., by trans splicing. Our data suggest that 20S proteasomes represent a molecular machine that, due to its catalytic and structural properties, facilitates the generation of spliced peptides, thereby providing a pool of qualitatively new peptides from which functionally relevant products may be selected.
- Charité - University Medicine Berlin Germany
- Alma Mater Studiorum University of Bologna Italy
- Berlin Institute of Health at Charité Germany
- UNIVERSITY COLLEGE LONDON, Bartlett School of Planning United Kingdom
- Imperial College London United Kingdom
Proteasome Endopeptidase Complex, QH301-705.5, Fibroblast Growth Factor 5, ANTIGEN, TRANSPEPTIDATION, Molecular Sequence Data, Epitopes, T-Lymphocyte, EPITOPE, CD8-Positive T-Lymphocytes, SEQUENCE, Autoantigens, Tandem Mass Spectrometry, Humans, Computer Simulation, Amino Acid Sequence, Biology (General), Databases, Protein, PROTEOME ANALYSIS, COMPLEX, Membrane Glycoproteins, RECOGNITION, Computational Biology, Reproducibility of Results, PEPTIDES, Antigens, Nuclear, DEGRADATION, Peptide Fragments, Algorithms, Software, GENERATION, Research Article, gp100 Melanoma Antigen
Proteasome Endopeptidase Complex, QH301-705.5, Fibroblast Growth Factor 5, ANTIGEN, TRANSPEPTIDATION, Molecular Sequence Data, Epitopes, T-Lymphocyte, EPITOPE, CD8-Positive T-Lymphocytes, SEQUENCE, Autoantigens, Tandem Mass Spectrometry, Humans, Computer Simulation, Amino Acid Sequence, Biology (General), Databases, Protein, PROTEOME ANALYSIS, COMPLEX, Membrane Glycoproteins, RECOGNITION, Computational Biology, Reproducibility of Results, PEPTIDES, Antigens, Nuclear, DEGRADATION, Peptide Fragments, Algorithms, Software, GENERATION, Research Article, gp100 Melanoma Antigen
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