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De Smet B, Yang X, Plskova Z, Castell C, Fernández-Fernández A, Dard A, Masood J, Mhamdi A, Huang J, Vertommen D, Chan KX, Pyr Dit Ruys S, Messens J, Kerchev PI, Van Breusegem F. The nuclear sulfenome of Arabidopsis: spotlight on histone acetyltransferase GCN5 regulation through functional thiols. JOURNAL OF EXPERIMENTAL BOTANY 2025; 76:1569-1584. [PMID: 39726278 DOI: 10.1093/jxb/erae514] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/24/2024] [Accepted: 12/26/2024] [Indexed: 12/28/2024]
Abstract
In aerobic life forms, reactive oxygen species (ROS) are produced by the partial reduction of oxygen during energy-generating metabolic processes. In plants, ROS production increases during periods of both abiotic and biotic stress, severely overloading the antioxidant systems. Hydrogen peroxide (H2O2) plays a central role in cellular redox homeostasis and signalling by oxidizing crucial cysteines to sulfenic acid, which is considered a biologically relevant post-translational modification (PTM). Until now, the impact of the nucleus on cellular redox homeostasis has been relatively unexplored. The regulation of histone-modifying enzymes by oxidative PTMs at redox-sensitive cysteine or tyrosine residues is particularly intriguing because it allows the integration of redox signalling mechanisms with chromatin control of transcriptional activity. One of the most extensively studied histone acetyltransferases is the conserved GENERAL CONTROL NONDEPRESSIBLE 5 (GCN5) complex. This study investigated the nuclear sulfenome in Arabidopsis thaliana by expressing a nuclear variant of the Yeast Activation Protein-1 (YAP1) probe and identified 225 potential redox-active proteins undergoing S-sulfenylation. Mass spectrometry analysis further confirmed the S-sulfenylation of GCN5 at Cys293, Cys368, and Cys400, and their functional significance and impact on the GCN5 protein-protein interaction network were assessed using cysteine-to-serine mutagenesis.
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Affiliation(s)
- Barbara De Smet
- Department of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Ghent, Belgium
- Center for Plant Systems Biology, VIB, 9052 Ghent, Belgium
- Structural Biology Brussels Laboratory, Vrije Universiteit Brussel, 1050 Brussels, Belgium
- Structural Biology Research Center, VIB, 1050 Brussels, Belgium
- Brussels Center for Redox Biology, 1050 Brussels, Belgium
| | - Xi Yang
- Department of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Ghent, Belgium
- Center for Plant Systems Biology, VIB, 9052 Ghent, Belgium
| | - Zuzana Plskova
- Department of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Ghent, Belgium
- Center for Plant Systems Biology, VIB, 9052 Ghent, Belgium
| | - Carmen Castell
- Department of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Ghent, Belgium
- Center for Plant Systems Biology, VIB, 9052 Ghent, Belgium
| | - Alvaro Fernández-Fernández
- Department of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Ghent, Belgium
- Center for Plant Systems Biology, VIB, 9052 Ghent, Belgium
| | - Avilien Dard
- Department of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Ghent, Belgium
- Center for Plant Systems Biology, VIB, 9052 Ghent, Belgium
| | - Jan Masood
- Department of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Ghent, Belgium
- Center for Plant Systems Biology, VIB, 9052 Ghent, Belgium
- Mendel University in Brno, 613 00 Brno, Czech Republic
| | - Amna Mhamdi
- Department of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Ghent, Belgium
- Center for Plant Systems Biology, VIB, 9052 Ghent, Belgium
| | - Jingjing Huang
- Department of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Ghent, Belgium
- Center for Plant Systems Biology, VIB, 9052 Ghent, Belgium
| | - Didier Vertommen
- de Duve Institute and MASSPROT platform, Université Catholique de Louvain, 1200 Brussels, Belgium
| | - Kai Xun Chan
- Department of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Ghent, Belgium
- Center for Plant Systems Biology, VIB, 9052 Ghent, Belgium
- Research School of Biology, The Australian National University, Acton ACT 2601, Australia
| | - Sébastien Pyr Dit Ruys
- de Duve Institute and MASSPROT platform, Université Catholique de Louvain, 1200 Brussels, Belgium
| | - Joris Messens
- Structural Biology Brussels Laboratory, Vrije Universiteit Brussel, 1050 Brussels, Belgium
- Structural Biology Research Center, VIB, 1050 Brussels, Belgium
- Brussels Center for Redox Biology, 1050 Brussels, Belgium
| | - Pavel I Kerchev
- Department of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Ghent, Belgium
- Center for Plant Systems Biology, VIB, 9052 Ghent, Belgium
- Mendel University in Brno, 613 00 Brno, Czech Republic
| | - Frank Van Breusegem
- Department of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Ghent, Belgium
- Center for Plant Systems Biology, VIB, 9052 Ghent, Belgium
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Homma F, Lyu J, van der Hoorn RAL. Using AlphaFold Multimer to discover interkingdom protein-protein interactions. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2024; 120:19-28. [PMID: 39152709 DOI: 10.1111/tpj.16969] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/22/2024] [Revised: 07/09/2024] [Accepted: 07/25/2024] [Indexed: 08/19/2024]
Abstract
Structural prediction by artificial intelligence can be powerful new instruments to discover novel protein-protein interactions, but the community still grapples with the implementation, opportunities and limitations. Here, we discuss and re-analyse our in silico screen for novel pathogen-secreted inhibitors of immune hydrolases to illustrate the power and limitations of structural predictions. We discuss strategies of curating sequences, including controls, and reusing sequence alignments and highlight important limitations caused by different platforms, sequence depth and computing times. We hope these experiences will support similar interactomic screens by the research community.
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Affiliation(s)
- Felix Homma
- The Plant Chemetics Laboratory, Department of Biology, University of Oxford, OX1 3RB, Oxford, UK
| | - Joy Lyu
- The Plant Chemetics Laboratory, Department of Biology, University of Oxford, OX1 3RB, Oxford, UK
| | - Renier A L van der Hoorn
- The Plant Chemetics Laboratory, Department of Biology, University of Oxford, OX1 3RB, Oxford, UK
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3
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Boutin C, Clément C, Rivoal J. Post-Translational Modifications to Cysteine Residues in Plant Proteins and Their Impact on the Regulation of Metabolism and Signal Transduction. Int J Mol Sci 2024; 25:9845. [PMID: 39337338 PMCID: PMC11432348 DOI: 10.3390/ijms25189845] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2024] [Revised: 08/21/2024] [Accepted: 09/09/2024] [Indexed: 09/30/2024] Open
Abstract
Cys is one of the least abundant amino acids in proteins. However, it is often highly conserved and is usually found in important structural and functional regions of proteins. Its unique chemical properties allow it to undergo several post-translational modifications, many of which are mediated by reactive oxygen, nitrogen, sulfur, or carbonyl species. Thus, in addition to their role in catalysis, protein stability, and metal binding, Cys residues are crucial for the redox regulation of metabolism and signal transduction. In this review, we discuss Cys post-translational modifications (PTMs) and their role in plant metabolism and signal transduction. These modifications include the oxidation of the thiol group (S-sulfenylation, S-sulfinylation and S-sulfonylation), the formation of disulfide bridges, S-glutathionylation, persulfidation, S-cyanylation S-nitrosation, S-carbonylation, S-acylation, prenylation, CoAlation, and the formation of thiohemiacetal. For each of these PTMs, we discuss the origin of the modifier, the mechanisms involved in PTM, and their reversibility. Examples of the involvement of Cys PTMs in the modulation of protein structure, function, stability, and localization are presented to highlight their importance in the regulation of plant metabolic and signaling pathways.
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Affiliation(s)
- Charlie Boutin
- Institut de Recherche en Biologie Végétale, Université de Montréal, 4101 Rue Sherbrooke est, Montréal, QC H1X 2B2, Canada
| | - Camille Clément
- Institut de Recherche en Biologie Végétale, Université de Montréal, 4101 Rue Sherbrooke est, Montréal, QC H1X 2B2, Canada
| | - Jean Rivoal
- Institut de Recherche en Biologie Végétale, Université de Montréal, 4101 Rue Sherbrooke est, Montréal, QC H1X 2B2, Canada
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Xu R, Pan Q, Zhu G, Ye Y, Xin M, Wang Z, Wang S, Li W, Wei Y, Guo J, Zheng L. ThermoLink: Bridging disulfide bonds and enzyme thermostability through database construction and machine learning prediction. Protein Sci 2024; 33:e5097. [PMID: 39145402 PMCID: PMC11325166 DOI: 10.1002/pro.5097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2024] [Revised: 05/27/2024] [Accepted: 06/15/2024] [Indexed: 08/16/2024]
Abstract
Disulfide bonds, covalently formed by sulfur atoms in cysteine residues, play a crucial role in protein folding and structure stability. Considering their significance, artificial disulfide bonds are often introduced to enhance protein thermostability. Although an increasing number of tools can assist with this task, significant amounts of time and resources are often wasted owing to inadequate consideration. To enhance the accuracy and efficiency of designing disulfide bonds for protein thermostability improvement, we initially collected disulfide bond and protein thermostability data from extensive literature sources. Thereafter, we extracted various sequence- and structure-based features and constructed machine-learning models to predict whether disulfide bonds can improve protein thermostability. Among all models, the neighborhood context model based on the Adaboost-DT algorithm performed the best, yielding "area under the receiver operating characteristic curve" and accuracy scores of 0.773 and 0.714, respectively. Furthermore, we also found AlphaFold2 to exhibit high superiority in predicting disulfide bonds, and to some extent, the coevolutionary relationship between residue pairs potentially guided artificial disulfide bond design. Moreover, several mutants of imine reductase 89 (IR89) with artificially designed thermostable disulfide bonds were experimentally proven to be considerably efficient for substrate catalysis. The SS-bond data have been integrated into an online server, namely, ThermoLink, available at guolab.mpu.edu.mo/thermoLink.
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Affiliation(s)
- Ran Xu
- Centre in Artificial Intelligence Driven Drug Discovery, Faculty of Applied Sciences, Macao Polytechnic University, Macao, China
| | - Qican Pan
- Zelixir Biotech Company Ltd, Shanghai, China
| | | | - Yilin Ye
- Centre in Artificial Intelligence Driven Drug Discovery, Faculty of Applied Sciences, Macao Polytechnic University, Macao, China
| | - Minghui Xin
- School of Physics, Shandong University, Jinan, China
| | - Zechen Wang
- School of Physics, Shandong University, Jinan, China
| | - Sheng Wang
- Zelixir Biotech Company Ltd, Shanghai, China
| | - Weifeng Li
- School of Physics, Shandong University, Jinan, China
| | - Yanjie Wei
- Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Jingjing Guo
- Centre in Artificial Intelligence Driven Drug Discovery, Faculty of Applied Sciences, Macao Polytechnic University, Macao, China
| | - Liangzhen Zheng
- Zelixir Biotech Company Ltd, Shanghai, China
- Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
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Cannon AE, Horn PJ. The Molecular Frequency, Conservation and Role of Reactive Cysteines in Plant Lipid Metabolism. PLANT & CELL PHYSIOLOGY 2024; 65:826-844. [PMID: 38113384 DOI: 10.1093/pcp/pcad163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 11/21/2023] [Accepted: 12/18/2023] [Indexed: 12/21/2023]
Abstract
Cysteines (Cys) are chemically reactive amino acids containing sulfur that play diverse roles in plant biology. Recent proteomics investigations in Arabidopsis thaliana have revealed the presence of thiol post-translational modifications (PTMs) in several Cys residues. These PTMs are presumed to impact protein structure and function, yet mechanistic data regarding the specific Cys susceptible to modification and their biochemical relevance remain limited. To help address these limitations, we have conducted a wide-ranging analysis by integrating published datasets encompassing PTM proteomics (comparing S-sulfenylation, persulfidation, S-nitrosylation and S-acylation), genomics and protein structures, with a specific focus on proteins involved in plant lipid metabolism. The prevalence and distribution of modified Cys residues across all analyzed proteins is diverse and multifaceted. Nevertheless, by combining an evaluation of sequence conservation across 100+ plant genomes with AlphaFold-generated protein structures and physicochemical predictions, we have unveiled structural propensities associated with Cys modifications. Furthermore, we have identified discernible patterns in lipid biochemical pathways enriched with Cys PTMs, notably involving beta-oxidation, jasmonic acid biosynthesis, fatty acid biosynthesis and wax biosynthesis. These collective findings provide valuable insights for future investigations targeting the mechanistic foundations of Cys modifications and the regulation of modified proteins in lipid metabolism and other metabolic pathways.
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Affiliation(s)
- Ashley E Cannon
- BioDiscovery Institute and Department of Biological Sciences, University of North Texas, 1155 Union Circle, Denton, TX 76203, USA
| | - Patrick J Horn
- BioDiscovery Institute and Department of Biological Sciences, University of North Texas, 1155 Union Circle, Denton, TX 76203, USA
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Zhuravlev A, Ezeriņa D, Ivanova J, Guriev N, Pugovkina N, Shatrova A, Aksenov N, Messens J, Lyublinskaya O. HyPer as a tool to determine the reductive activity in cellular compartments. Redox Biol 2024; 70:103058. [PMID: 38310683 PMCID: PMC10848024 DOI: 10.1016/j.redox.2024.103058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 01/21/2024] [Accepted: 01/23/2024] [Indexed: 02/06/2024] Open
Abstract
A multitude of cellular metabolic and regulatory processes rely on controlled thiol reduction and oxidation mechanisms. Due to our aerobic environment, research preferentially focuses on oxidation processes, leading to limited tools tailored for investigating cellular reduction. Here, we advocate for repurposing HyPer1, initially designed as a fluorescent probe for H2O2 levels, as a tool to measure the reductive power in various cellular compartments. The response of HyPer1 depends on kinetics between thiol oxidation and reduction in its OxyR sensing domain. Here, we focused on the reduction half-reaction of HyPer1. We showed that HyPer1 primarily relies on Trx/TrxR-mediated reduction in the cytosol and nucleus, characterized by a second order rate constant of 5.8 × 102 M-1s-1. On the other hand, within the mitochondria, HyPer1 is predominantly reduced by glutathione (GSH). The GSH-mediated reduction rate constant is 1.8 M-1s-1. Using human leukemia K-562 cells after a brief oxidative exposure, we quantified the compartmentalized Trx/TrxR and GSH-dependent reductive activity using HyPer1. Notably, the recovery period for mitochondrial HyPer1 was twice as long compared to cytosolic and nuclear HyPer1. After exploring various human cells, we revealed a potent cytosolic Trx/TrxR pathway, particularly pronounced in cancer cell lines such as K-562 and HeLa. In conclusion, our study demonstrates that HyPer1 can be harnessed as a robust tool for assessing compartmentalized reduction activity in cells following oxidative stress.
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Affiliation(s)
- Andrei Zhuravlev
- Department of Intracellular Signaling and Transport, Institute of Cytology, Russian Academy of Sciences, Tikhoretskii Pr. 4, St. Petersburg, 194064, Russia
| | - Daria Ezeriņa
- VIB-VUB Center for Structural Biology, Vlaams Instituut Voor Biotechnologie, B-1050, Brussels, Belgium; Brussels Center for Redox Biology, Vrije Universiteit Brussel, B-1050, Brussels, Belgium; Structural Biology Brussels, Vrije Universiteit Brussel, B-1050, Brussels, Belgium
| | - Julia Ivanova
- Department of Intracellular Signaling and Transport, Institute of Cytology, Russian Academy of Sciences, Tikhoretskii Pr. 4, St. Petersburg, 194064, Russia
| | - Nikita Guriev
- Department of Intracellular Signaling and Transport, Institute of Cytology, Russian Academy of Sciences, Tikhoretskii Pr. 4, St. Petersburg, 194064, Russia
| | - Natalia Pugovkina
- Department of Intracellular Signaling and Transport, Institute of Cytology, Russian Academy of Sciences, Tikhoretskii Pr. 4, St. Petersburg, 194064, Russia
| | - Alla Shatrova
- Department of Intracellular Signaling and Transport, Institute of Cytology, Russian Academy of Sciences, Tikhoretskii Pr. 4, St. Petersburg, 194064, Russia
| | - Nikolay Aksenov
- Department of Intracellular Signaling and Transport, Institute of Cytology, Russian Academy of Sciences, Tikhoretskii Pr. 4, St. Petersburg, 194064, Russia
| | - Joris Messens
- VIB-VUB Center for Structural Biology, Vlaams Instituut Voor Biotechnologie, B-1050, Brussels, Belgium; Brussels Center for Redox Biology, Vrije Universiteit Brussel, B-1050, Brussels, Belgium; Structural Biology Brussels, Vrije Universiteit Brussel, B-1050, Brussels, Belgium.
| | - Olga Lyublinskaya
- Department of Intracellular Signaling and Transport, Institute of Cytology, Russian Academy of Sciences, Tikhoretskii Pr. 4, St. Petersburg, 194064, Russia.
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Huang J, Staes A, Impens F, Demichev V, Van Breusegem F, Gevaert K, Willems P. CysQuant: Simultaneous quantification of cysteine oxidation and protein abundance using data dependent or independent acquisition mass spectrometry. Redox Biol 2023; 67:102908. [PMID: 37793239 PMCID: PMC10562924 DOI: 10.1016/j.redox.2023.102908] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2023] [Revised: 09/20/2023] [Accepted: 09/26/2023] [Indexed: 10/06/2023] Open
Abstract
Protein cysteinyl thiols are susceptible to reduction-oxidation reactions that can influence protein function. Accurate quantification of cysteine oxidation is therefore crucial for decoding protein redox regulation. Here, we present CysQuant, a novel approach for simultaneous quantification of cysteine oxidation degrees and protein abundancies. CysQuant involves light/heavy iodoacetamide isotopologues for differential labeling of reduced and reversibly oxidized cysteines analyzed by data-dependent acquisition (DDA) or data-independent acquisition mass spectrometry (DIA-MS). Using plexDIA with in silico predicted spectral libraries, we quantified an average of 18% cysteine oxidation in Arabidopsis thaliana by DIA-MS, including a subset of highly oxidized cysteines forming disulfide bridges in AlphaFold2 predicted structures. Applying CysQuant to Arabidopsis seedlings exposed to excessive light, we successfully quantified the well-established increased reduction of Calvin-Benson cycle enzymes and discovered yet uncharacterized redox-sensitive disulfides in chloroplastic enzymes. Overall, CysQuant is a highly versatile tool for assessing the cysteine modification status that can be widely applied across various mass spectrometry platforms and organisms.
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Affiliation(s)
- Jingjing Huang
- Department of Plant Biotechnology and Bioinformatics, Ghent University, 9052, Ghent, Belgium; Center for Plant Systems Biology, VIB, 9052, Ghent, Belgium
| | - An Staes
- Department of Biomolecular Medicine, Ghent University, 9052, Ghent, Belgium; Center for Medical Biotechnology, VIB, 9052, Ghent, Belgium; VIB Proteomics Core, 9052, Ghent, Belgium
| | - Francis Impens
- Department of Biomolecular Medicine, Ghent University, 9052, Ghent, Belgium; Center for Medical Biotechnology, VIB, 9052, Ghent, Belgium; VIB Proteomics Core, 9052, Ghent, Belgium
| | - Vadim Demichev
- Department of Biochemistry, Charité - Universitätsmedizin Berlin, 10117, Berlin, Germany
| | - Frank Van Breusegem
- Department of Plant Biotechnology and Bioinformatics, Ghent University, 9052, Ghent, Belgium; Center for Plant Systems Biology, VIB, 9052, Ghent, Belgium
| | - Kris Gevaert
- Department of Biomolecular Medicine, Ghent University, 9052, Ghent, Belgium; Center for Medical Biotechnology, VIB, 9052, Ghent, Belgium.
| | - Patrick Willems
- Department of Plant Biotechnology and Bioinformatics, Ghent University, 9052, Ghent, Belgium; Center for Plant Systems Biology, VIB, 9052, Ghent, Belgium; Department of Biomolecular Medicine, Ghent University, 9052, Ghent, Belgium; Center for Medical Biotechnology, VIB, 9052, Ghent, Belgium.
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