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Jonak K, Suppanz I, Bender J, Chacinska A, Warscheid B, Topf U. Ageing-dependent thiol oxidation reveals early oxidation of proteins with core proteostasis functions. Life Sci Alliance 2024; 7:e202302300. [PMID: 38383455 PMCID: PMC10881836 DOI: 10.26508/lsa.202302300] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 02/08/2024] [Accepted: 02/09/2024] [Indexed: 02/23/2024] Open
Abstract
Oxidative post-translational modifications of protein thiols are well recognized as a readily occurring alteration of proteins, which can modify their function and thus control cellular processes. The development of techniques enabling the site-specific assessment of protein thiol oxidation on a proteome-wide scale significantly expanded the number of known oxidation-sensitive protein thiols. However, lacking behind are large-scale data on the redox state of proteins during ageing, a physiological process accompanied by increased levels of endogenous oxidants. Here, we present the landscape of protein thiol oxidation in chronologically aged wild-type Saccharomyces cerevisiae in a time-dependent manner. Our data determine early-oxidation targets in key biological processes governing the de novo production of proteins, protein folding, and degradation, and indicate a hierarchy of cellular responses affected by a reversible redox modification. Comparison with existing datasets in yeast, nematode, fruit fly, and mouse reveals the evolutionary conservation of these oxidation targets. To facilitate accessibility, we integrated the cross-species comparison into the newly developed OxiAge Database.
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Affiliation(s)
- Katarzyna Jonak
- Laboratory of Molecular Basis of Aging and Rejuvenation, Institute of Biochemistry and Biophysics, Polish Academy of Sciences, Warsaw, Poland
| | - Ida Suppanz
- CIBSS Centre for Integrative Biological Signalling Research, University of Freiburg, Freiburg, Germany
| | - Julian Bender
- Biochemistry II, Theodor Boveri-Institute, Biocenter, University of Würzburg, Würzburg, Germany
| | | | - Bettina Warscheid
- CIBSS Centre for Integrative Biological Signalling Research, University of Freiburg, Freiburg, Germany
- Biochemistry II, Theodor Boveri-Institute, Biocenter, University of Würzburg, Würzburg, Germany
| | - Ulrike Topf
- Laboratory of Molecular Basis of Aging and Rejuvenation, Institute of Biochemistry and Biophysics, Polish Academy of Sciences, Warsaw, Poland
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Maity S, Gundampati RK, Suresh Kumar TK. NMR Methods to Characterize Protein-Ligand Interactions. Nat Prod Commun 2019. [DOI: 10.1177/1934578x19849296] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Structural information pertaining to the interactions between biological macromolecules and ligands is of potential significance for understanding of molecular mechanisms in key biological processes. Recently, nuclear magnetic resonance (NMR) spectroscopic techniques has come of age and has widened its scope to characterize binding interactions of small molecules with biological macromolecules especially, proteins. NMR spectroscopy-based techniques are versatile due to their ability to examine weak binding interactions and for rapid screening the binding affinities of ligands with proteins at atomic resolution. In this review, we provide a broad overview of some of the important NMR approaches to investigate interactions of small organic molecules with proteins.
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Affiliation(s)
- Sanhita Maity
- Department of Chemistry and Biochemistry, University of Arkansas, Fayetteville, AR, USA
| | - Ravi Kumar Gundampati
- Department of Chemistry and Biochemistry, University of Arkansas, Fayetteville, AR, USA
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Dygut J, Kalinowska B, Banach M, Piwowar M, Konieczny L, Roterman I. Structural Interface Forms and Their Involvement in Stabilization of Multidomain Proteins or Protein Complexes. Int J Mol Sci 2016; 17:ijms17101741. [PMID: 27763556 PMCID: PMC5085769 DOI: 10.3390/ijms17101741] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2016] [Revised: 09/30/2016] [Accepted: 10/11/2016] [Indexed: 12/20/2022] Open
Abstract
The presented analysis concerns the inter-domain and inter-protein interface in protein complexes. We propose extending the traditional understanding of the protein domain as a function of local compactness with an additional criterion which refers to the presence of a well-defined hydrophobic core. Interface areas in selected homodimers vary with respect to their contribution to share as well as individual (domain-specific) hydrophobic cores. The basic definition of a protein domain, i.e., a structural unit characterized by tighter packing than its immediate environment, is extended in order to acknowledge the role of a structured hydrophobic core, which includes the interface area. The hydrophobic properties of interfaces vary depending on the status of interacting domains—In this context we can distinguish: (1) Shared hydrophobic cores (spanning the whole dimer); (2) Individual hydrophobic cores present in each monomer irrespective of whether the dimer contains a shared core. Analysis of interfaces in dystrophin and utrophin indicates the presence of an additional quasi-domain with a prominent hydrophobic core, consisting of fragments contributed by both monomers. In addition, we have also attempted to determine the relationship between the type of interface (as categorized above) and the biological function of each complex. This analysis is entirely based on the fuzzy oil drop model.
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Affiliation(s)
- Jacek Dygut
- Department of Rehabilitation, Hospital in Przemyśl, Monte Cassino 18, 37-700 Przemyśl, Poland.
| | - Barbara Kalinowska
- Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Łojasiewicza 11, 30-348 Krakow, Poland.
| | - Mateusz Banach
- Department of Bioinformatics and Telemedicine, Jagiellonian University-Medical College, Łazarza 16, 31-530 Krakow, Poland.
| | - Monika Piwowar
- Department of Bioinformatics and Telemedicine, Jagiellonian University-Medical College, Łazarza 16, 31-530 Krakow, Poland.
| | - Leszek Konieczny
- Chair of Medical Biochemistry, Jagiellonian University-Medical College, Kopernika 7, 31-034 Krakow, Poland.
| | - Irena Roterman
- Department of Bioinformatics and Telemedicine, Jagiellonian University-Medical College, Łazarza 16, 31-530 Krakow, Poland.
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Ferrage F, Dutta K, Cowburn D. Identification of Hydrophobic Interfaces in Protein-Ligand Complexes by Selective Saturation Transfer NMR Spectroscopy. Molecules 2015; 20:21992-9. [PMID: 26690112 PMCID: PMC6332028 DOI: 10.3390/molecules201219824] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2015] [Revised: 09/17/2015] [Accepted: 11/26/2015] [Indexed: 11/28/2022] Open
Abstract
The proper characterization of protein-ligand interfaces is essential for structural biology, with implications ranging from the fundamental understanding of biological processes to pharmacology. Nuclear magnetic resonance is a powerful technique for such studies. We propose a novel approach to the direct determination of the likely pose of a peptide ligand onto a protein partner, by using frequency-selective cross-saturation with a low stringency isotopic labeling methods. Our method illustrates a complex of the Src homology 3 domain of C-terminal Src kinase with a peptide from the proline-enriched tyrosine phosphatase.
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Affiliation(s)
- Fabien Ferrage
- New York Structural Biology Center, New York, NY 10027, USA.
- Department of Chemistry, École Normale Supérieure-PSL Research University, 24 rue Lhomond, 75005 Paris, France.
- LBM, Sorbonne Universités, UPMC Univ Paris 06, 4 place Jussieu, F-75005 Paris, France.
- UMR 7203 LBM, CNRS, F-75005 Paris, France.
| | - Kaushik Dutta
- New York Structural Biology Center, New York, NY 10027, USA.
| | - David Cowburn
- New York Structural Biology Center, New York, NY 10027, USA.
- Department of Biochemistry, Albert Einstein College of Medicine, Bronx, NY 10461, USA.
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Abstract
Structural analyses of protein-protein interactions are required to reveal their functional mechanisms, and accurate protein-protein complex models, based on experimental results, are the starting points for drug development. In addition, structural information about proteins under physiologically relevant conditions is crucially important for understanding biological events. However, for proteins such as those embedded in lipid bilayers and transiently complexed with their effectors under physiological conditions, structural analyses by conventional methods are generally difficult, due to their large molecular weights and inhomogeneity. We have developed the cross-saturation (CS) method, which is an nuclear magnetic resonance measurement technique for the precise identification of the interfaces of protein-protein complexes. In addition, we have developed an extended version of the CS method, termed transferred cross-saturation (TCS), which enables the identification of the residues of protein ligands in close proximity to huge (>150 kDa) and heterogeneous complexes under fast exchange conditions (>0.1 s(-1)). Here, we discuss the outline, basic theory, and practical considerations of the CS and TCS methods. In addition, we will review the recent progress in the construction of models of protein-protein complexes, based on CS and TCS experiments, and applications of TCS to in situ analyses of biologically and medically important proteins in physiologically relevant states.
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Abstract
(1)H-, (11)B-, (13)C-, (15)N-, (17)O-, (19)F-, and (31)P-NMR chemical shifts of flavocoenzymes and derivatives of it, as well as of alloxazines and isoalloxazinium salts, from NMR experiments performed under various experimental conditions (e.g., dependence of the chemical shifts on temperature, concentration, solvent polarity, and pH) are reported. Also solid-state (13)C- and (15)N-NMR experiments are described revealing the anisotropic values of corresponding chemical shifts. These data, in combination with a number of coupling constants, led to a detailed description of the electronic structure of oxidized and reduced flavins. The data also demonstrate that the structure of oxidized flavin can assume a configuration deviating from coplanarity, depending on substitutions in the isoalloxazine ring, while that of reduced flavin exhibits several configurations, from almost planar to quite bended. The complexes formed between oxidized flavin and metal ions or organic molecules revealed three coordination sites with metal ions (depending on the chemical nature of the ion), and specific interactions between the pyrimidine moiety of flavin and organic molecules, mimicking specific interactions between apoflavoproteins and their coenzymes. Most NMR studies on flavoproteins were performed using (13)C- and (15)N-substituted coenzymes, either specifically enriched in the pterin moiety of flavin or uniformly labeled flavins. The chemical shifts of free flavins are used as a guide in the interpretation of the chemical shifts observed in flavoproteins. Although the hydrogen-bonding pattern in oxidized and reduced flavoproteins varies considerably, no correlation is obvious between these patterns and the corresponding redox potentials. In all reduced flavoproteins the N(1)H group of the flavocoenzyme is deprotonated, an exception is thioredoxin reductase. Three-dimensional structures of only a few flavoproteins, mostly belonging to the family of flavodoxins, have been solved. Also the kinetics of unfolding and refolding of flavodoxins has been investigated by NMR techniques. In addition, (31)P-NMR data of all so far studied flavoproteins and some (19)F-NMR spectra are discussed.
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Affiliation(s)
- Franz Müller
- , Wylstrasse 13, CH-6052, Hergiswil, Switzerland,
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Fukunishi Y, Mizukoshi Y, Takeuchi K, Shimada I, Takahashi H, Nakamura H. Protein–ligand docking guided by ligand pharmacophore-mapping experiment by NMR. J Mol Graph Model 2011; 31:20-7. [DOI: 10.1016/j.jmgm.2011.08.002] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2011] [Revised: 08/03/2011] [Accepted: 08/05/2011] [Indexed: 12/01/2022]
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Rapid identification of protein-protein interfaces for the construction of a complex model based on multiple unassigned signals by using time-sharing NMR measurements. J Struct Biol 2011; 174:434-42. [PMID: 21501688 DOI: 10.1016/j.jsb.2011.04.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2010] [Revised: 04/02/2011] [Accepted: 04/04/2011] [Indexed: 11/21/2022]
Abstract
Protein-protein interactions are necessary for various cellular processes, and therefore, information related to protein-protein interactions and structural information of complexes is invaluable. To identify protein-protein interfaces using NMR, resonance assignments are generally necessary to analyze the data; however, they are time consuming to collect, especially for large proteins. In this paper, we present a rapid, effective, and unbiased approach for the identification of a protein-protein interface without resonance assignments. This approach requires only a single set of 2D titration experiments of a single protein sample, labeled with a unique combination of an (15)N-labeled amino acid and several amino acids (13)C-labeled on specific atoms. To rapidly obtain high resolution data, we applied a new pulse sequence for time-shared NMR measurements that allowed simultaneous detection of a ω(1)-TROSY-type backbone (1)H-(15)N and aromatic (1)H-(13)C shift correlations together with single quantum methyl (1)H-(13)C shift correlations. We developed a structure-based computational approach, that uses our experimental data to search the protein surfaces in an unbiased manner to identify the residues involved in the protein-protein interface. Finally, we demonstrated that the obtained information of the molecular interface could be directly leveraged to support protein-protein docking studies. Such rapid construction of a complex model provides valuable information and enables more efficient biochemical characterization of a protein-protein complex, for instance, as the first step in structure-guided drug development.
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