Literature DB >> 10968984

A kinetic model of vertebrate 20S proteasome accounting for the generation of major proteolytic fragments from oligomeric peptide substrates.

H G Holzhütter1, P M Kloetzel.   

Abstract

There is now convincing evidence that the proteasome contributes to the generation of most of the peptides presented by major histocompatibility complex class I molecules. Here we present a model-based kinetic analysis of fragment patterns generated by the 20S proteasome from 20 to 40 residues long oligomeric substrates. The model consists of ordinary first-order differential equations describing the time evolution of the average probabilities with which fragments can be generated from a given initial substrate. First-order rate laws are used to describe the cleavage of peptide bonds and the release of peptides from the interior of the proteasome to the external space. Numerical estimates for the 27 unknown model parameters are determined across a set of five different proteins with known cleavage patterns. Testing the validity of the model by a jack knife procedure, about 80% of the observed fragments can be correctly identified, whereas the abundance of false-positive classifications is below 10%. From our theoretical approach, it is inferred that double-cleavage fragments of length 7-13 are predominantly cut out in "C-N-order" in that the C-terminus is generated first. This is due to striking differences in the further processing of the two fragments generated by the first cleavage. The upstream fragment exhibits a pronounced tendency to escape from second cleavage as indicated by a large release rate and a monotone exponential decline of peptide bond accessibility with increasing distance from the first scissile bond. In contrast, the release rate of the downstream fragment is about four orders of magnitude lower and the accessibility of peptide bonds shows a sharp peak in a distance of about nine residues from the first scissile bond. This finding strongly supports the idea that generation of fragments with well-defined lengths is favored in that temporary immobilization of the downstream fragment after the first cleavage renders it susceptible for a second cleavage.

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Year:  2000        PMID: 10968984      PMCID: PMC1301016          DOI: 10.1016/S0006-3495(00)76374-0

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  24 in total

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2.  A theoretical approach towards the identification of cleavage-determining amino acid motifs of the 20 S proteasome.

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Journal:  J Mol Biol       Date:  1999-03-05       Impact factor: 5.469

3.  Contribution of proteasome-mediated proteolysis to the hierarchy of epitopes presented by major histocompatibility complex class I molecules.

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Journal:  Immunity       Date:  1995-03       Impact factor: 31.745

4.  Effects of major-histocompatibility-complex-encoded subunits on the peptidase and proteolytic activities of human 20S proteasomes. Cleavage of proteins and antigenic peptides.

Authors:  B Ehring; T H Meyer; C Eckerskorn; F Lottspeich; R Tampé
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5.  SIMFIT: a microcomputer software-toolkit for modelistic studies in biochemistry.

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Journal:  Comput Appl Biosci       Date:  1990-01

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7.  Existence of a molecular ruler in proteasomes suggested by analysis of degradation products.

Authors:  T Wenzel; C Eckerskorn; F Lottspeich; W Baumeister
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8.  A role for the proteasome regulator PA28alpha in antigen presentation.

Authors:  M Groettrup; A Soza; M Eggers; L Kuehn; T P Dick; H Schild; H G Rammensee; U H Koszinowski; P M Kloetzel
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9.  Proteolytic processing of ovalbumin and beta-galactosidase by the proteasome to a yield antigenic peptides.

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10.  The cleavage preference of the proteasome governs the yield of antigenic peptides.

Authors:  M Eggers; B Boes-Fabian; T Ruppert; P M Kloetzel; U H Koszinowski
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  24 in total

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2.  Two antigenic peptides from genes m123 and m164 of murine cytomegalovirus quantitatively dominate CD8 T-cell memory in the H-2d haplotype.

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3.  Enhancement to the RANKPEP resource for the prediction of peptide binding to MHC molecules using profiles.

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5.  Computational prediction of cleavage using proteasomal in vitro digestion and MHC I ligand data.

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6.  Optimal length transportation hypothesis to model proteasome product size distribution.

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7.  Force spectroscopy of substrate molecules en route to the proteasome's active sites.

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8.  A systems view of the protein expression process.

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9.  Sortase-mediated modification of αDEC205 affords optimization of antigen presentation and immunization against a set of viral epitopes.

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Review 10.  Degradation of oxidized proteins by the proteasome: Distinguishing between the 20S, 26S, and immunoproteasome proteolytic pathways.

Authors:  Rachel Raynes; Laura C D Pomatto; Kelvin J A Davies
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