Literature DB >> 12054828

Assessment of proteasomal cleavage probabilities from kinetic analysis of time-dependent product formation.

Björn Peters1, Katharina Janek, Ulrike Kuckelkorn, Hermann-Georg Holzhütter.   

Abstract

Proteasomes are multicatalytic cellular protease complexes that degrade intracellular proteins into smaller peptides. Proteasomal in vitro digests have revealed that the various peptide bonds of a given substrate are cleaved in a highly selective manner. Regarding the key role of proteasomes as the main supplier of antigenic peptides for MHC class I-mediated antigen presentation, it is important to know to what extent these preferences for specific peptide bonds may vary among proteasomes of different cellular origin and of different subunit composition. Here, we quantify such cleavage rates by means of a kinetic proteasome model that relates the time-dependent changes of the amount of any generated peptide to the rates with which this peptide can be either generated from longer precursor peptides or degraded into smaller successor peptides. Numerical values for these rates are estimated by minimizing the distance between simulated and measured time-courses. The proposed method is applied to kinetic data obtained by combining HPLC fractionation and mass spectrometry (MS) to trace the degradation of two model peptides (pp89-25mer and LLO-27mer) by either the constitutive (T2) or immunoproteasome (T2.27). To convert the intensity of the MS signals into the respective peptide amounts, we use two methods leading to similar results: experimental calibration curves and theoretically determined linear scaling functions based on a novel approach using mass conservation rules. Comparison of the cleavage probabilities and procession rates obtained for the two types of proteasomes reveals that the striking differences between the time-dependent peptide profiles can be accounted for mainly by a generally higher turnover rate of the immunoproteasome. For the pp89-25mer, there is no significant change of the cleavage probabilities for any of the ten observed cleavage sites. For the LLO-27mer, there appears to be a significant change in the cleavage probabilities for four of the nine observed cleavage sites when switching from the constitutive to the immunoproteasome. (c) 2002 Elsevier Science Ltd.

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Year:  2002        PMID: 12054828     DOI: 10.1016/S0022-2836(02)00167-5

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  13 in total

1.  Bioinformatic analysis of functional differences between the immunoproteasome and the constitutive proteasome.

Authors:  Can Kesmir; Vera van Noort; Rob J de Boer; Paulien Hogeweg
Journal:  Immunogenetics       Date:  2003-08-30       Impact factor: 2.846

2.  A mathematical model of protein degradation by the proteasome.

Authors:  Fabio Luciani; Can Keşmir; Michele Mishto; Michal Or-Guil; Rob J de Boer
Journal:  Biophys J       Date:  2005-01-21       Impact factor: 4.033

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

Authors:  Yu-feng Lu; Hao Sheng; Yi Zhang; Zhi-yang Li
Journal:  J Zhejiang Univ Sci B       Date:  2013-09       Impact factor: 3.066

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

Authors:  Alexey Zaikin; Juergen Kurths
Journal:  J Biol Phys       Date:  2006-10-26       Impact factor: 1.365

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

Authors:  Mirjam Classen; Sarah Breuer; Wolfgang Baumeister; Reinhard Guckenberger; Susanne Witt
Journal:  Biophys J       Date:  2011-01-19       Impact factor: 4.033

6.  Proteolytic dynamics of human 20S thymoproteasome.

Authors:  Ulrike Kuckelkorn; Sabine Stübler; Kathrin Textoris-Taube; Christiane Kilian; Agathe Niewienda; Petra Henklein; Katharina Janek; Michael P H Stumpf; Michele Mishto; Juliane Liepe
Journal:  J Biol Chem       Date:  2019-03-26       Impact factor: 5.157

7.  A systems view of the protein expression process.

Authors:  Sucheta Gokhale; Dimpal Nyayanit; Chetan Gadgil
Journal:  Syst Synth Biol       Date:  2011-10-19

Review 8.  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
Journal:  Mol Aspects Med       Date:  2016-05-04

9.  Driving forces of proteasome-catalyzed peptide splicing in yeast and humans.

Authors:  Michele Mishto; Andrean Goede; Kathrin Textoris Taube; Christin Keller; Katharina Janek; Petra Henklein; Agathe Niewienda; Alexander Kloss; Sabrina Gohlke; Burkhardt Dahlmann; Cordula Enenkel; Peter Michael Kloetzel
Journal:  Mol Cell Proteomics       Date:  2012-07-20       Impact factor: 5.911

10.  Assessing the role of immuno-proteasomes in a mouse model of familial ALS.

Authors:  Krishna Puttaparthi; Luc Van Kaer; Jeffrey L Elliott
Journal:  Exp Neurol       Date:  2007-03-30       Impact factor: 5.330

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