29
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Acylpeptide Hydrolase Inhibition as Targeted Strategy to Induce Proteasomal Down-Regulation

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Acylpeptide hydrolase (APEH), one of the four members of the prolyl oligopeptidase class, catalyses the removal of N-acylated amino acids from acetylated peptides and it has been postulated to play a key role in protein degradation machinery. Disruption of protein turnover has been established as an effective strategy to down-regulate the ubiquitin-proteasome system (UPS) and as a promising approach in anticancer therapy.

          Here, we illustrate a new pathway modulating UPS and proteasome activity through inhibition of APEH. To find novel molecules able to down-regulate APEH activity, we screened a set of synthetic peptides, reproducing the reactive-site loop of a known archaeal inhibitor of APEH (SsCEI), and the conjugated linoleic acid (CLA) isomers. A 12-mer SsCEI peptide and the trans10-cis12 isomer of CLA, were identified as specific APEH inhibitors and their effects on cell-based assays were paralleled by a dose-dependent reduction of proteasome activity and the activation of the pro-apoptotic caspase cascade. Moreover, cell treatment with the individual compounds increased the cytoplasm levels of several classic hallmarks of proteasome inhibition, such as NFkappaB, p21, and misfolded or polyubiquitinylated proteins, and additive effects were observed in cells exposed to a combination of both inhibitors without any cytotoxicity. Remarkably, transfection of human bronchial epithelial cells with APEH siRNA, promoted a marked accumulation of a mutant of the cystic fibrosis transmembrane conductance regulator (CFTR), herein used as a model of misfolded protein typically degraded by UPS. Finally, molecular modeling studies, to gain insights into the APEH inhibition by the trans10-cis12 CLA isomer, were performed.

          Our study supports a previously unrecognized role of APEH as a negative effector of proteasome activity by an unknown mechanism and opens new perspectives for the development of strategies aimed at modulation of cancer progression.

          Related collections

          Most cited references42

          • Record: found
          • Abstract: found
          • Article: not found

          Quantitative analysis of dose-effect relationships: the combined effects of multiple drugs or enzyme inhibitors.

          A generalized method for analyzing the effects of multiple drugs and for determining summation, synergism and antagonism has been proposed. The derived, generalized equations are based on kinetic principles. The method is relatively simple and is not limited by whether the dose-effect relationships are hyperbolic or sigmoidal, whether the effects of the drugs are mutually exclusive or nonexclusive, whether the ligand interactions are competitive, noncompetitive or uncompetitive, whether the drugs are agonists or antagonists, or the number of drugs involved. The equations for the two most widely used methods for analyzing synergism, antagonism and summation of effects of multiple drugs, the isobologram and fractional product concepts, have been derived and been shown to have limitations in their applications. These two methods cannot be used indiscriminately. The equations underlying these two methods can be derived from a more generalized equation previously developed by us (59). It can be shown that the isobologram is valid only for drugs whose effects are mutually exclusive, whereas the fractional product method is valid only for mutually nonexclusive drugs which have hyperbolic dose-effect curves. Furthermore, in the isobol method, it is laborious to find proper combinations of drugs that would produce an iso-effective curve, and the fractional product method tends to give indication of synergism, since it underestimates the summation of the effect of mutually nonexclusive drugs that have sigmoidal dose-effect curves. The method described herein is devoid of these deficiencies and limitations. The simplified experimental design proposed for multiple drug-effect analysis has the following advantages: It provides a simple diagnostic plot (i.e., the median-effect plot) for evaluating the applicability of the data, and provides parameters that can be directly used to obtain a general equation for the dose-effect relation; the analysis which involves logarithmic conversion and linear regression can be readily carried out with a simple programmable electronic calculator and does not require special graph paper or tables; and the simplicity of the equation allows flexibility of application and the use of a minimum number of data points. This method has been used to analyze experimental data obtained from enzymatic, cellular and animal systems.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            MOLMOL: a program for display and analysis of macromolecular structures.

            MOLMOL is a molecular graphics program for display, analysis, and manipulation of three-dimensional structures of biological macromolecules, with special emphasis on nuclear magnetic resonance (NMR) solution structures of proteins and nucleic acids. MOLMOL has a graphical user interface with menus, dialog boxes, and on-line help. The display possibilities include conventional presentation, as well as novel schematic drawings, with the option of combining different presentations in one view of a molecule. Covalent molecular structures can be modified by addition or removal of individual atoms and bonds, and three-dimensional structures can be manipulated by interactive rotation about individual bonds. Special efforts were made to allow for appropriate display and analysis of the sets of typically 20-40 conformers that are conventionally used to represent the result of an NMR structure determination, using functions for superimposing sets of conformers, calculation of root mean square distance (RMSD) values, identification of hydrogen bonds, checking and displaying violations of NMR constraints, and identification and listing of short distances between pairs of hydrogen atoms.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              N-terminal acetylation of cellular proteins creates specific degradation signals.

              The retained N-terminal methionine (Met) residue of a nascent protein is often N-terminally acetylated (Nt-acetylated). Removal of N-terminal Met by Met-aminopeptidases frequently leads to Nt-acetylation of the resulting N-terminal alanine (Ala), valine (Val), serine (Ser), threonine (Thr), and cysteine (Cys) residues. Although a majority of eukaryotic proteins (for example, more than 80% of human proteins) are cotranslationally Nt-acetylated, the function of this extensively studied modification is largely unknown. Using the yeast Saccharomyces cerevisiae, we found that the Nt-acetylated Met residue could act as a degradation signal (degron), targeted by the Doa10 ubiquitin ligase. Moreover, Doa10 also recognized the Nt-acetylated Ala, Val, Ser, Thr, and Cys residues. Several examined proteins of diverse functions contained these N-terminal degrons, termed AcN-degrons, which are a prevalent class of degradation signals in cellular proteins.
                Bookmark

                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2011
                10 October 2011
                : 6
                : 10
                : e25888
                Affiliations
                [1 ]Institute of Protein Biochemistry, National Research Council (CNR-IBP), Napoli, Italy
                [2 ]Institute of Food Sciences, National Research Council (CNR-ISA), Avellino, Italy
                [3 ]Institute of Biostructure and Bioimaging, National Research Council (CNR-IBB), Napoli, Italy
                [4 ]Institute of Crystallography, National Council of Research of Italy (CNR-IC), Bari, Italy
                [5 ]Telethon Institute of Genetics and Medicine (TIGEM), Napoli, Italy
                Wayne State University, United States of America
                Author notes

                Conceived and designed the experiments: GP PB MRu AL. Performed the experiments: GP PB MG AS EL RH. Analyzed the data: GP PB MRo. Contributed reagents/materials/analysis tools: MRo MS. Wrote the paper: GP PB MRu.

                Article
                PONE-D-11-12278
                10.1371/journal.pone.0025888
                3189933
                22016782
                2383e6dc-fb07-4364-9f8b-e07dc412019b
                Palmieri et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
                History
                : 30 June 2011
                : 12 September 2011
                Page count
                Pages: 13
                Categories
                Research Article
                Biology
                Biochemistry
                Enzymes
                Enzyme Classes
                Hydrolases
                Enzyme Kinetics
                Enzyme Regulation
                Lipids
                Fatty Acids
                Proteins
                Protein Interactions
                Protein Structure
                Biocatalysis
                Chemical Biology
                Small Molecules
                Molecular Cell Biology
                Cell Death
                Cell Growth
                Medicine
                Oncology
                Basic Cancer Research

                Uncategorized
                Uncategorized

                Comments

                Comment on this article