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UCL Discovery
Article . 2010
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The 20S Proteasome Splicing Activity Discovered by SpliceMet

Authors: Liepe, J; Mishto, M; Textoris-Taube, K; Janek, K; Keller, C; Henklein, P; Kloetzel, PM; +1 Authors

The 20S Proteasome Splicing Activity Discovered by SpliceMet

Abstract

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.

Keywords

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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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    65
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
65
Top 10%
Top 10%
Top 10%
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gold