1
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Shenol A, Lückmann M, Trauelsen M, Lambrughi M, Tiberti M, Papaleo E, Frimurer TM, Schwartz TW. Molecular dynamics-based identification of binding pathways and two distinct high-affinity sites for succinate in succinate receptor 1/GPR91. Mol Cell 2024; 84:955-966.e4. [PMID: 38325379 DOI: 10.1016/j.molcel.2024.01.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Revised: 11/30/2023] [Accepted: 01/16/2024] [Indexed: 02/09/2024]
Abstract
SUCNR1 is an auto- and paracrine sensor of the metabolic stress signal succinate. Using unsupervised molecular dynamics (MD) simulations (170.400 ns) and mutagenesis across human, mouse, and rat SUCNR1, we characterize how a five-arginine motif around the extracellular pole of TM-VI determines the initial capture of succinate in the extracellular vestibule (ECV) to either stay or move down to the orthosteric site. Metadynamics demonstrate low-energy succinate binding in both sites, with an energy barrier corresponding to an intermediate stage during which succinate, with an associated water cluster, unlocks the hydrogen-bond-stabilized conformationally constrained extracellular loop (ECL)-2b. Importantly, simultaneous binding of two succinate molecules through either a "sequential" or "bypassing" mode is a frequent endpoint. The mono-carboxylate NF-56-EJ40 antagonist enters SUCNR1 between TM-I and -II and does not unlock ECL-2b. It is proposed that occupancy of both high-affinity sites is required for selective activation of SUCNR1 by high local succinate concentrations.
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Affiliation(s)
- Aslihan Shenol
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Michael Lückmann
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Mette Trauelsen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Matteo Lambrughi
- Cancer Structural Biology, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Matteo Tiberti
- Cancer Structural Biology, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Elena Papaleo
- Cancer Structural Biology, Danish Cancer Society Research Center, Copenhagen, Denmark; Cancer Systems Biology, Section for Bioinformatics, Department of Health and Technology, Technical University of Denmark, Lyngby, Denmark
| | - Thomas M Frimurer
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Thue W Schwartz
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
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2
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Scrima S, Tiberti M, Ryde U, Lambrughi M, Papaleo E. Comparison of force fields to study the zinc-finger containing protein NPL4, a target for disulfiram in cancer therapy. Biochim Biophys Acta Proteins Proteom 2023; 1871:140921. [PMID: 37230374 DOI: 10.1016/j.bbapap.2023.140921] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 05/16/2023] [Accepted: 05/19/2023] [Indexed: 05/27/2023]
Abstract
Molecular dynamics (MD) simulations are a powerful approach to studying the structure and dynamics of proteins related to health and disease. Advances in the MD field allow modeling proteins with high accuracy. However, modeling metal ions and their interactions with proteins is still challenging. NPL4 is a zinc-binding protein and works as a cofactor for p97 to regulate protein homeostasis. NPL4 is of biomedical importance and has been proposed as the target of disulfiram, a drug recently repurposed for cancer treatment. Experimental studies proposed that the disulfiram metabolites, bis-(diethyldithiocarbamate)‑copper and cupric ions, induce NPL4 misfolding and aggregation. However, the molecular details of their interactions with NPL4 and consequent structural effects are still elusive. Here, biomolecular simulations can help to shed light on the related structural details. To apply MD simulations to NPL4 and its interaction with copper the first important step is identifying a suitable force field to describe the protein in its zinc-bound states. We examined different sets of non-bonded parameters because we want to study the misfolding mechanism and cannot rule out that the zinc may detach from the protein during the process and copper replaces it. We investigated the force-field ability to model the coordination geometry of the metal ions by comparing the results from MD simulations with optimized geometries from quantum mechanics (QM) calculations using model systems of NPL4. Furthermore, we investigated the performance of a force field including bonded parameters to treat copper ions in NPL4 that we obtained based on QM calculations.
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Affiliation(s)
- Simone Scrima
- Cancer Structural Biology, Danish Cancer Society Research Center, 2100 Copenhagen, Denmark; Cancer Systems Biology, Section for Bioinformatics, Department of Health and Technology, Technical University of Denmark, 2800 Lyngby, Denmark
| | - Matteo Tiberti
- Cancer Structural Biology, Danish Cancer Society Research Center, 2100 Copenhagen, Denmark
| | - Ulf Ryde
- Division of Theoretical Chemistry, Lund University, Chemical Centre, P. O. Box 124, SE-221 00 Lund, Sweden
| | - Matteo Lambrughi
- Cancer Structural Biology, Danish Cancer Society Research Center, 2100 Copenhagen, Denmark
| | - Elena Papaleo
- Cancer Structural Biology, Danish Cancer Society Research Center, 2100 Copenhagen, Denmark; Cancer Systems Biology, Section for Bioinformatics, Department of Health and Technology, Technical University of Denmark, 2800 Lyngby, Denmark.
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3
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Papaleo E, Tiberti M, Arnaudi M, Pecorari C, Faienza F, Cantwell L, Degn K, Pacello F, Battistoni A, Lambrughi M, Filomeni G. TRAP1 S-nitrosylation as a model of population-shift mechanism to study the effects of nitric oxide on redox-sensitive oncoproteins. Cell Death Dis 2023; 14:284. [PMID: 37085483 PMCID: PMC10121659 DOI: 10.1038/s41419-023-05780-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2022] [Revised: 03/13/2023] [Accepted: 03/27/2023] [Indexed: 04/23/2023]
Abstract
S-nitrosylation is a post-translational modification in which nitric oxide (NO) binds to the thiol group of cysteine, generating an S-nitrosothiol (SNO) adduct. S-nitrosylation has different physiological roles, and its alteration has also been linked to a growing list of pathologies, including cancer. SNO can affect the function and stability of different proteins, such as the mitochondrial chaperone TRAP1. Interestingly, the SNO site (C501) of TRAP1 is in the proximity of another cysteine (C527). This feature suggests that the S-nitrosylated C501 could engage in a disulfide bridge with C527 in TRAP1, resembling the well-known ability of S-nitrosylated cysteines to resolve in disulfide bridge with vicinal cysteines. We used enhanced sampling simulations and in-vitro biochemical assays to address the structural mechanisms induced by TRAP1 S-nitrosylation. We showed that the SNO site induces conformational changes in the proximal cysteine and favors conformations suitable for disulfide bridge formation. We explored 4172 known S-nitrosylated proteins using high-throughput structural analyses. Furthermore, we used a coarse-grained model for 44 protein targets to account for protein flexibility. This resulted in the identification of up to 1248 proximal cysteines, which could sense the redox state of the SNO site, opening new perspectives on the biological effects of redox switches. In addition, we devised two bioinformatic workflows ( https://github.com/ELELAB/SNO_investigation_pipelines ) to identify proximal or vicinal cysteines for a SNO site with accompanying structural annotations. Finally, we analyzed mutations in tumor suppressors or oncogenes in connection with the conformational switch induced by S-nitrosylation. We classified the variants as neutral, stabilizing, or destabilizing for the propensity to be S-nitrosylated and undergo the population-shift mechanism. The methods applied here provide a comprehensive toolkit for future high-throughput studies of new protein candidates, variant classification, and a rich data source for the research community in the NO field.
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Affiliation(s)
- Elena Papaleo
- Cancer Structural Biology, Danish Cancer Society Research Center, 2100, Copenhagen, Denmark.
- Cancer Systems Biology, Section for Bioinformatics, Department of Health and Technology, Technical University of Denmark, 2800, Lyngby, Denmark.
| | - Matteo Tiberti
- Cancer Structural Biology, Danish Cancer Society Research Center, 2100, Copenhagen, Denmark
| | - Matteo Arnaudi
- Cancer Structural Biology, Danish Cancer Society Research Center, 2100, Copenhagen, Denmark
- Cancer Systems Biology, Section for Bioinformatics, Department of Health and Technology, Technical University of Denmark, 2800, Lyngby, Denmark
| | - Chiara Pecorari
- Redox Biology, Danish Cancer Society Research Center, 2100, Copenhagen, Denmark
| | - Fiorella Faienza
- Department of Biology, University of Rome Tor Vergata, 00133, Rome, Italy
| | - Lisa Cantwell
- Cancer Structural Biology, Danish Cancer Society Research Center, 2100, Copenhagen, Denmark
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Kristine Degn
- Cancer Systems Biology, Section for Bioinformatics, Department of Health and Technology, Technical University of Denmark, 2800, Lyngby, Denmark
| | - Francesca Pacello
- Department of Biology, University of Rome Tor Vergata, 00133, Rome, Italy
| | - Andrea Battistoni
- Department of Biology, University of Rome Tor Vergata, 00133, Rome, Italy
| | - Matteo Lambrughi
- Cancer Structural Biology, Danish Cancer Society Research Center, 2100, Copenhagen, Denmark
| | - Giuseppe Filomeni
- Redox Biology, Danish Cancer Society Research Center, 2100, Copenhagen, Denmark
- Department of Biology, University of Rome Tor Vergata, 00133, Rome, Italy
- Center for Healthy Aging, Copenhagen University, 2200, Copenhagen, Denmark
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4
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Saez-Jimenez V, Scrima S, Lambrughi M, Papaleo E, Mapelli V, Engqvist MKM, Olsson L. Directed Evolution of ( R)-2-Hydroxyglutarate Dehydrogenase Improves 2-Oxoadipate Reduction by 2 Orders of Magnitude. ACS Synth Biol 2022; 11:2779-2790. [PMID: 35939387 PMCID: PMC9396657 DOI: 10.1021/acssynbio.2c00162] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
![]()
Pathway engineering is commonly employed to improve the
production
of various metabolites but may incur in bottlenecks due to the low
catalytic activity of a particular reaction step. The reduction of
2-oxoadipate to (R)-2-hydroxyadipate is a key reaction
in metabolic pathways that exploit 2-oxoadipate conversion via α-reduction
to produce adipic acid, an industrially important platform chemical.
Here, we engineered (R)-2-hydroxyglutarate dehydrogenase
from Acidaminococcus fermentans (Hgdh)
with the aim of improving 2-oxoadipate reduction. Using a combination
of computational analysis, saturation mutagenesis, and random mutagenesis,
three mutant variants with a 100-fold higher catalytic efficiency
were obtained. As revealed by rational analysis of the mutations found
in the variants, this improvement could be ascribed to a general synergistic
effect where mutation A206V played a key role since it boosted the
enzyme’s activity by 4.8-fold. The Hgdh variants with increased
activity toward 2-oxoadipate generated within this study pave the
way for the bio-based production of adipic acid.
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Affiliation(s)
- Veronica Saez-Jimenez
- Division of Industrial Biotechnology, Department of Biology and Biological Engineering, Chalmers University of Technology, 412 96 Gothenburg, Sweden
| | - Simone Scrima
- Cancer Structural Biology, Danish Cancer Society Research Center, 2100 Copenhagen, Denmark.,Cancer Systems Biology, Section for Bioinformatics, Department of Health and Technology, Technical University of Denmark, 2800 Lyngby, Denmark
| | - Matteo Lambrughi
- Cancer Structural Biology, Danish Cancer Society Research Center, 2100 Copenhagen, Denmark
| | - Elena Papaleo
- Cancer Structural Biology, Danish Cancer Society Research Center, 2100 Copenhagen, Denmark.,Cancer Systems Biology, Section for Bioinformatics, Department of Health and Technology, Technical University of Denmark, 2800 Lyngby, Denmark
| | - Valeria Mapelli
- Division of Industrial Biotechnology, Department of Biology and Biological Engineering, Chalmers University of Technology, 412 96 Gothenburg, Sweden
| | - Martin K M Engqvist
- Division of Systems and Synthetic Biology, Department of Biology and Biological Engineering, Chalmers University of Technology, 412 96 Gothenburg, Sweden
| | - Lisbeth Olsson
- Division of Industrial Biotechnology, Department of Biology and Biological Engineering, Chalmers University of Technology, 412 96 Gothenburg, Sweden
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5
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Scrima S, Tiberti M, Campo A, Corcelle-Termeau E, Judith D, Foged MM, Clemmensen KKB, Tooze SA, Jäättelä M, Maeda K, Lambrughi M, Papaleo E. Unraveling membrane properties at the organelle-level with LipidDyn. Comput Struct Biotechnol J 2022; 20:3604-3614. [PMID: 35860415 PMCID: PMC9283888 DOI: 10.1016/j.csbj.2022.06.054] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 06/23/2022] [Accepted: 06/25/2022] [Indexed: 12/22/2022] Open
Abstract
Lipidomics of organelles could be used to design models for molecular simulations. The bottleneck is the analysis and rationalization of the data from simulations. LipidDyn is an automated pipeline to streamline the analyses of lipid bilayers. LipidDyn allows to collect analysis in a non-time-consuming and reproducible manner. We applied LipidDyn to different case studies to illustrate its potential.
Cellular membranes are formed from different lipids in various amounts and proportions depending on the subcellular localization. The lipid composition of membranes is sensitive to changes in the cellular environment, and its alterations are linked to several diseases. Lipids not only form lipid-lipid interactions but also interact with other biomolecules, including proteins. Molecular dynamics (MD) simulations are a powerful tool to study the properties of cellular membranes and membrane-protein interactions on different timescales and resolutions. Over the last few years, software and hardware for biomolecular simulations have been optimized to routinely run long simulations of large and complex biological systems. On the other hand, high-throughput techniques based on lipidomics provide accurate estimates of the composition of cellular membranes at the level of subcellular compartments. Lipidomic data can be analyzed to design biologically relevant models of membranes for MD simulations. Similar applications easily result in a massive amount of simulation data where the bottleneck becomes the analysis of the data. In this context, we developed LipidDyn, a Python-based pipeline to streamline the analyses of MD simulations of membranes of different compositions. Once the simulations are collected, LipidDyn provides average properties and time series for several membrane properties such as area per lipid, thickness, order parameters, diffusion motions, lipid density, and lipid enrichment/depletion. The calculations exploit parallelization, and the pipeline includes graphical outputs in a publication-ready form. We applied LipidDyn to different case studies to illustrate its potential, including membranes from cellular compartments and transmembrane protein domains. LipidDyn is available free of charge under the GNU General Public License from https://github.com/ELELAB/LipidDyn.
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Affiliation(s)
- Simone Scrima
- Cancer Structural Biology, Center for Autophagy, Recycling and Disease, Danish Cancer Society Research Center, 2100 Copenhagen, Denmark.,Cancer Systems Biology, Section for Bioinformatics, Department of Health and Technology, Technical University of Denmark, 2800 Lyngby, Denmark
| | - Matteo Tiberti
- Cancer Structural Biology, Center for Autophagy, Recycling and Disease, Danish Cancer Society Research Center, 2100 Copenhagen, Denmark
| | - Alessia Campo
- Cancer Structural Biology, Center for Autophagy, Recycling and Disease, Danish Cancer Society Research Center, 2100 Copenhagen, Denmark
| | - Elisabeth Corcelle-Termeau
- Cell Death and Metabolism, Center for Autophagy, Recycling and Disease, Danish Cancer Society Research Center, 2100 Copenhagen, Denmark
| | - Delphine Judith
- Institut Cochin, Inserm U1016-CNRS, UMR8104, Université de Paris, Paris, France
| | - Mads Møller Foged
- Cell Death and Metabolism, Center for Autophagy, Recycling and Disease, Danish Cancer Society Research Center, 2100 Copenhagen, Denmark
| | | | - Sharon A Tooze
- Molecular Cell Biology of Autophagy Laboratory, The Francis Crick Institute, London NW1 1AT, United Kingdom
| | - Marja Jäättelä
- Cell Death and Metabolism, Center for Autophagy, Recycling and Disease, Danish Cancer Society Research Center, 2100 Copenhagen, Denmark.,Department of Cellular and Molecular Medicine, Faculty of Health Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Kenji Maeda
- Cell Death and Metabolism, Center for Autophagy, Recycling and Disease, Danish Cancer Society Research Center, 2100 Copenhagen, Denmark
| | - Matteo Lambrughi
- Cancer Structural Biology, Center for Autophagy, Recycling and Disease, Danish Cancer Society Research Center, 2100 Copenhagen, Denmark
| | - Elena Papaleo
- Cancer Structural Biology, Center for Autophagy, Recycling and Disease, Danish Cancer Society Research Center, 2100 Copenhagen, Denmark.,Cancer Systems Biology, Section for Bioinformatics, Department of Health and Technology, Technical University of Denmark, 2800 Lyngby, Denmark
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6
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Quaglia F, Mészáros B, Salladini E, Hatos A, Pancsa R, Chemes LB, Pajkos M, Lazar T, Peña-Díaz S, Santos J, Ács V, Farahi N, Fichó E, Aspromonte M, Bassot C, Chasapi A, Davey N, Davidović R, Dobson L, Elofsson A, Erdős G, Gaudet P, Giglio M, Glavina J, Iserte J, Iglesias V, Kálmán Z, Lambrughi M, Leonardi E, Longhi S, Macedo-Ribeiro S, Maiani E, Marchetti J, Marino-Buslje C, Mészáros A, Monzon A, Minervini G, Nadendla S, Nilsson JF, Novotný M, Ouzounis C, Palopoli N, Papaleo E, Pereira P, Pozzati G, Promponas V, Pujols J, Rocha AS, Salas M, Sawicki LR, Schad E, Shenoy A, Szaniszló T, Tsirigos K, Veljkovic N, Parisi G, Ventura S, Dosztányi Z, Tompa P, Tosatto SCE, Piovesan D. DisProt in 2022: improved quality and accessibility of protein intrinsic disorder annotation. Nucleic Acids Res 2022; 50:D480-D487. [PMID: 34850135 PMCID: PMC8728214 DOI: 10.1093/nar/gkab1082] [Citation(s) in RCA: 79] [Impact Index Per Article: 39.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Revised: 10/15/2021] [Accepted: 10/20/2021] [Indexed: 02/03/2023] Open
Abstract
The Database of Intrinsically Disordered Proteins (DisProt, URL: https://disprot.org) is the major repository of manually curated annotations of intrinsically disordered proteins and regions from the literature. We report here recent updates of DisProt version 9, including a restyled web interface, refactored Intrinsically Disordered Proteins Ontology (IDPO), improvements in the curation process and significant content growth of around 30%. Higher quality and consistency of annotations is provided by a newly implemented reviewing process and training of curators. The increased curation capacity is fostered by the integration of DisProt with APICURON, a dedicated resource for the proper attribution and recognition of biocuration efforts. Better interoperability is provided through the adoption of the Minimum Information About Disorder (MIADE) standard, an active collaboration with the Gene Ontology (GO) and Evidence and Conclusion Ontology (ECO) consortia and the support of the ELIXIR infrastructure.
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Affiliation(s)
- Federica Quaglia
- Institute of Biomembranes, Bioenergetics and Molecular Biotechnologies, National Research Council (CNR-IBIOM), Bari, Italy
- Department of Biomedical Sciences, University of Padova, Padova, Italy
| | - Bálint Mészáros
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg 69117, Germany
| | - Edoardo Salladini
- Department of Biomedical Sciences, University of Padova, Padova, Italy
| | - András Hatos
- Department of Biomedical Sciences, University of Padova, Padova, Italy
| | - Rita Pancsa
- Institute of Enzymology, Research Centre for Natural Sciences, Budapest 1117, Hungary
| | - Lucía B Chemes
- Instituto de Investigaciones Biotecnológicas (IIBiO-CONICET), Universidad Nacional de San Martín, Av. 25 de Mayo y Francia, CP1650 Buenos Aires, Argentina
| | - Mátyás Pajkos
- Department of Biochemistry, Eötvös Loránd University, Pázmány Péter stny 1/c, Budapest H-1117, Hungary
| | - Tamas Lazar
- VIB-VUB Center for Structural Biology, Vlaams Instituut voor Biotechnology, Brussels, Belgium
- Structural Biology Brussels (SBB), Bioengineering Sciences Department, Vrije Universiteit Brussel (VUB), Brussels, Belgium
| | - Samuel Peña-Díaz
- Institut de Biotecnologia i Biomedicina, Universitat Autònoma de Barcelona, Barcelona, Spain
- Departament de Bioquímica i Biologia Molecular, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Jaime Santos
- Institut de Biotecnologia i Biomedicina, Universitat Autònoma de Barcelona, Barcelona, Spain
- Departament de Bioquímica i Biologia Molecular, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Veronika Ács
- Institute of Enzymology, Research Centre for Natural Sciences, Budapest 1117, Hungary
| | - Nazanin Farahi
- VIB-VUB Center for Structural Biology, Vlaams Instituut voor Biotechnology, Brussels, Belgium
- Structural Biology Brussels (SBB), Bioengineering Sciences Department, Vrije Universiteit Brussel (VUB), Brussels, Belgium
| | - Erzsébet Fichó
- Institute of Enzymology, Research Centre for Natural Sciences, Budapest 1117, Hungary
- Cytocast Kft., Vecsés, Hungary
| | - Maria Cristina Aspromonte
- Department of Woman and Child Health, University of Padova, Padova, Italy
- Pediatric Research Institute, Città della Speranza, Padova, Italy
| | - Claudio Bassot
- Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, 171 21 Solna, Sweden
| | - Anastasia Chasapi
- Biological Computation & Process Laboratory, Chemical Process & Energy Resources Institute, Centre for Research & Technology Hellas, Thermi, Thessalonica 57001, Greece
| | - Norman E Davey
- Institute of Cancer Research, Chester Beatty Laboratories, 237 Fulham Rd, Chelsea, London, UK
| | - Radoslav Davidović
- Laboratory for Bioinformatics and Computational Chemistry, Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, University of Belgrade, 11000Belgrade, Serbia
| | - Laszlo Dobson
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg 69117, Germany
- Institute of Enzymology, Research Centre for Natural Sciences, Budapest 1117, Hungary
| | - Arne Elofsson
- Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, 171 21 Solna, Sweden
| | - Gábor Erdős
- Department of Biochemistry, Eötvös Loránd University, Pázmány Péter stny 1/c, Budapest H-1117, Hungary
| | - Pascale Gaudet
- Swiss-Prot group, SIB Swiss Institute of Bioinformatics, Geneva, Switzerland
| | - Michelle Giglio
- Institute for Genome Sciences, University of Maryland School of Medicine 670 W. Baltimore St., Baltimore, MD 21201, USA
| | - Juliana Glavina
- Instituto de Investigaciones Biotecnológicas (IIBiO-CONICET), Universidad Nacional de San Martín, Av. 25 de Mayo y Francia, CP1650 Buenos Aires, Argentina
| | - Javier Iserte
- Bioinformatics Unit, Fundación Instituto Leloir, Buenos Aires, C1405BWE, Argentina
| | - Valentín Iglesias
- Institut de Biotecnologia i Biomedicina, Universitat Autònoma de Barcelona, Barcelona, Spain
- Departament de Bioquímica i Biologia Molecular, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Zsófia Kálmán
- Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Práter u. 50/A, 1083 Budapest, Hungary
| | - Matteo Lambrughi
- Cancer Structural Biology, Danish Cancer Society Research Center, Strandboulevarden 49, 2100 Copenhagen, Denmark
| | - Emanuela Leonardi
- Department of Woman and Child Health, University of Padova, Padova, Italy
- Pediatric Research Institute, Città della Speranza, Padova, Italy
| | - Sonia Longhi
- Lab. Architecture et Fonction des Macromolécules Biologiques (AFMB), UMR 7257, Aix Marseille University and Centre National de la Recherche Scientifique (CNRS), 163 Avenue de Luminy, Case 932, 13288, Marseille, France
| | - Sandra Macedo-Ribeiro
- Instituto de Biologia Molecular e Celular (IBMC), Universidade do Porto, 4200-135 Porto, Portugal
- Instituto de Investigação e Inovação em Saúde (i3S), Universidade do Porto, 4200-135 Porto, Portugal
| | - Emiliano Maiani
- Cancer Structural Biology, Danish Cancer Society Research Center, Strandboulevarden 49, 2100 Copenhagen, Denmark
| | - Julia Marchetti
- Departamento de Ciencia y Tecnología, Universidad Nacional de Quilmes - CONICET, Bernal, Buenos Aires B1876BXD, Argentina
| | | | - Attila Mészáros
- VIB-VUB Center for Structural Biology, Vlaams Instituut voor Biotechnology, Brussels, Belgium
- Structural Biology Brussels (SBB), Bioengineering Sciences Department, Vrije Universiteit Brussel (VUB), Brussels, Belgium
| | | | | | - Suvarna Nadendla
- Institute for Genome Sciences, University of Maryland School of Medicine 670 W. Baltimore St., Baltimore, MD 21201, USA
| | - Juliet F Nilsson
- Lab. Architecture et Fonction des Macromolécules Biologiques (AFMB), UMR 7257, Aix Marseille University and Centre National de la Recherche Scientifique (CNRS), 163 Avenue de Luminy, Case 932, 13288, Marseille, France
| | - Marian Novotný
- Dep. of Cell Biology, Faculty of Science, Vinicna 7, 128 43, Prague, Czech Republic
| | - Christos A Ouzounis
- Biological Computation & Process Laboratory, Chemical Process & Energy Resources Institute, Centre for Research & Technology Hellas, Thermi, Thessalonica 57001, Greece
- Biological Computation & Computational Biology Group, Artificial Intelligence & Information Analysis Lab, Department of Computer Science, Aristotle University of Thessalonica, Thessalonica 54124, Greece
| | - Nicolás Palopoli
- Departamento de Ciencia y Tecnología, Universidad Nacional de Quilmes - CONICET, Bernal, Buenos Aires B1876BXD, Argentina
| | - Elena Papaleo
- Cancer Structural Biology, Danish Cancer Society Research Center, Strandboulevarden 49, 2100 Copenhagen, Denmark
- Cancer Systems Biology, Section for Bioinformatics, Department of Health and Technology, Technical University of Denmark, Lyngby, Denmark
| | - Pedro José Barbosa Pereira
- Instituto de Biologia Molecular e Celular (IBMC), Universidade do Porto, 4200-135 Porto, Portugal
- Instituto de Investigação e Inovação em Saúde (i3S), Universidade do Porto, 4200-135 Porto, Portugal
| | - Gabriele Pozzati
- Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, 171 21 Solna, Sweden
| | - Vasilis J Promponas
- Bioinformatics Research Laboratory, Department of Biological Sciences, University of Cyprus, Nicosia, Cyprus
| | - Jordi Pujols
- Institut de Biotecnologia i Biomedicina, Universitat Autònoma de Barcelona, Barcelona, Spain
- Departament de Bioquímica i Biologia Molecular, Universitat Autònoma de Barcelona, Barcelona, Spain
| | | | - Martin Salas
- Departamento de Ciencia y Tecnología, Universidad Nacional de Quilmes - CONICET, Bernal, Buenos Aires B1876BXD, Argentina
| | - Luciana Rodriguez Sawicki
- Departamento de Ciencia y Tecnología, Universidad Nacional de Quilmes - CONICET, Bernal, Buenos Aires B1876BXD, Argentina
| | - Eva Schad
- Institute of Enzymology, Research Centre for Natural Sciences, Budapest 1117, Hungary
| | - Aditi Shenoy
- Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, 171 21 Solna, Sweden
| | - Tamás Szaniszló
- Department of Biochemistry, Eötvös Loránd University, Pázmány Péter stny 1/c, Budapest H-1117, Hungary
| | - Konstantinos D Tsirigos
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, UK
| | - Nevena Veljkovic
- Laboratory for Bioinformatics and Computational Chemistry, Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, University of Belgrade, 11000Belgrade, Serbia
| | - Gustavo Parisi
- Departamento de Ciencia y Tecnología, Universidad Nacional de Quilmes - CONICET, Bernal, Buenos Aires B1876BXD, Argentina
| | - Salvador Ventura
- Institut de Biotecnologia i Biomedicina, Universitat Autònoma de Barcelona, Barcelona, Spain
- Departament de Bioquímica i Biologia Molecular, Universitat Autònoma de Barcelona, Barcelona, Spain
- ICREA, Barcelona, Spain
| | - Zsuzsanna Dosztányi
- Department of Biochemistry, Eötvös Loránd University, Pázmány Péter stny 1/c, Budapest H-1117, Hungary
| | - Peter Tompa
- Institute of Enzymology, Research Centre for Natural Sciences, Budapest 1117, Hungary
- VIB-VUB Center for Structural Biology, Vlaams Instituut voor Biotechnology, Brussels, Belgium
- Structural Biology Brussels (SBB), Bioengineering Sciences Department, Vrije Universiteit Brussel (VUB), Brussels, Belgium
| | | | - Damiano Piovesan
- Department of Biomedical Sciences, University of Padova, Padova, Italy
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7
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Fas BA, Maiani E, Sora V, Kumar M, Mashkoor M, Lambrughi M, Tiberti M, Papaleo E. The conformational and mutational landscape of the ubiquitin-like marker for autophagosome formation in cancer. Autophagy 2021; 17:2818-2841. [PMID: 33302793 PMCID: PMC8525936 DOI: 10.1080/15548627.2020.1847443] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2019] [Revised: 10/28/2020] [Accepted: 11/03/2020] [Indexed: 02/06/2023] Open
Abstract
Macroautophagy/autophagy is a cellular process to recycle damaged cellular components, and its modulation can be exploited for disease treatments. A key autophagy player is the ubiquitin-like protein MAP1LC3B/LC3B. Mutations and changes in MAP1LC3B expression occur in cancer samples. However, the investigation of the effects of these mutations on MAP1LC3B protein structure is still missing. Despite many LC3B structures that have been solved, a comprehensive study, including dynamics, has not yet been undertaken. To address this knowledge gap, we assessed nine physical models for biomolecular simulations for their capabilities to describe the structural ensemble of MAP1LC3B. With the resulting MAP1LC3B structural ensembles, we characterized the impact of 26 missense mutations from pan-cancer studies with different approaches, and we experimentally validated our prediction for six variants using cellular assays. Our findings shed light on damaging or neutral mutations in MAP1LC3B, providing an atlas of its modifications in cancer. In particular, P32Q mutation was found detrimental for protein stability with a propensity to aggregation. In a broader context, our framework can be applied to assess the pathogenicity of protein mutations or to prioritize variants for experimental studies, allowing to comprehensively account for different aspects that mutational events alter in terms of protein structure and function.Abbreviations: ATG: autophagy-related; Cα: alpha carbon; CG: coarse-grained; CHARMM: Chemistry at Harvard macromolecular mechanics; CONAN: contact analysis; FUNDC1: FUN14 domain containing 1; FYCO1: FYVE and coiled-coil domain containing 1; GABARAP: GABA type A receptor-associated protein; GROMACS: Groningen machine for chemical simulations; HP: hydrophobic pocket; LIR: LC3 interacting region; MAP1LC3B/LC3B microtubule associated protein 1 light chain 3 B; MD: molecular dynamics; OPTN: optineurin; OSF: open software foundation; PE: phosphatidylethanolamine, PLEKHM1: pleckstrin homology domain-containing family M 1; PSN: protein structure network; PTM: post-translational modification; SA: structural alphabet; SLiM: short linear motif; SQSTM1/p62: sequestosome 1; WT: wild-type.
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Affiliation(s)
- Burcu Aykac Fas
- Computational Biology Laboratory, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Emiliano Maiani
- Computational Biology Laboratory, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Valentina Sora
- Computational Biology Laboratory, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Mukesh Kumar
- Computational Biology Laboratory, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Maliha Mashkoor
- Computational Biology Laboratory, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Matteo Lambrughi
- Computational Biology Laboratory, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Matteo Tiberti
- Computational Biology Laboratory, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Elena Papaleo
- Computational Biology Laboratory, Danish Cancer Society Research Center, Copenhagen, Denmark
- Translational Disease Systems Biology, Faculty of Health and Medical Sciences, Novo Nordisk Foundation Center for Protein Research University of Copenhagen, Copenhagen, Denmark
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8
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Di Rita A, Angelini DF, Maiorino T, Caputo V, Cascella R, Kumar M, Tiberti M, Lambrughi M, Wesch N, Löhr F, Dötsch V, Carinci M, D'Acunzo P, Chiurchiù V, Papaleo E, Rogov VV, Giardina E, Battistini L, Strappazzon F. Characterization of a natural variant of human NDP52 and its functional consequences on mitophagy. Cell Death Differ 2021; 28:2499-2516. [PMID: 33723372 PMCID: PMC8329179 DOI: 10.1038/s41418-021-00766-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2020] [Revised: 02/17/2021] [Accepted: 02/25/2021] [Indexed: 01/31/2023] Open
Abstract
The role of mitophagy, a process that allows the removal of damaged mitochondria from cells, remains unknown in multiple sclerosis (MS), a disease that is found associated with dysfunctional mitochondria. Here we have qualitatively and quantitatively studied the main players in PINK1-mediated mitophagy in peripheral blood mononuclear cells (PBMCs) of patients with relapsing-remitting MS. We found the variant c.491G>A (rs550510, p.G140E) of NDP52, one of the major mitophagy receptor genes, associated with a MS cohort. Through the characterization of this variant, we discovered that the residue 140 of human NDP52 is a crucial modulator of NDP52/LC3C binding, promoting the formation of autophagosomes in order to drive efficient mitophagy. In addition, we found that in the PBMC population, NDP52 is mainly expressed in B cells and by ensuring efficient mitophagy, it is able to limit the production of the proinflammatory cytokine TNF-α following cell stimulation. In sum, our results contribute to a better understanding of the role of NDP52 in mitophagy and underline, for the first time, a possible role of NDP52 in MS.
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Affiliation(s)
- Anthea Di Rita
- Department of Life Sciences, University of Siena, Siena, Italy
- Fondazione Toscana Life Sciences, Siena, Italy
| | | | - Teresa Maiorino
- Department of Molecular Medicine and Medical Biotechnology, University of Naples "Federico II", Naples, Italy
| | - Valerio Caputo
- Genomic Medicine Laboratory UILDM, IRCCS Santa Lucia Foundation, Rome, Italy
- Department of Biomedicine and Prevention, Tor Vergata University, Rome, Italy
| | - Raffaella Cascella
- Genomic Medicine Laboratory UILDM, IRCCS Santa Lucia Foundation, Rome, Italy
- Department of Biomedicine and Prevention, Tor Vergata University, Rome, Italy
| | - Mukesh Kumar
- Computational Biology Laboratory, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Matteo Tiberti
- Computational Biology Laboratory, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Matteo Lambrughi
- Computational Biology Laboratory, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Nicole Wesch
- Institute of Biophysical Chemistry and Center for Biomolecular Magnetic Resonance, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Frank Löhr
- Institute of Biophysical Chemistry and Center for Biomolecular Magnetic Resonance, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Volker Dötsch
- Institute of Biophysical Chemistry and Center for Biomolecular Magnetic Resonance, Goethe University Frankfurt, Frankfurt am Main, Germany
- Structural Genomics Consortium, Buchmann Institute for Life Sciences, Goethe University Frankfurt, Frankfurt, Germany
| | - Marianna Carinci
- Department of Medical Sciences, University of Ferrara, Ferrara, Italy
| | - Pasquale D'Acunzo
- Center for Dementia Research, Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, USA
- Department of Psychiatry, New York University School of Medicine, New York, NY, USA
| | - Valerio Chiurchiù
- IRCCS Fondazione Santa Lucia, Rome, Italy
- Institute of Translational Pharmacology, National Council Research, Rome, Italy
| | - Elena Papaleo
- Computational Biology Laboratory, Danish Cancer Society Research Center, Copenhagen, Denmark
- Translational Disease Systems Biology, Faculty of Health and Medical Sciences, Novo Nordisk Foundation Center for Protein Research University of Copenhagen, Copenhagen, Denmark
| | - Vladimir V Rogov
- Institute of Biophysical Chemistry and Center for Biomolecular Magnetic Resonance, Goethe University Frankfurt, Frankfurt am Main, Germany
- Structural Genomics Consortium, Buchmann Institute for Life Sciences, Goethe University Frankfurt, Frankfurt, Germany
- Institute of Pharmaceutical Chemistry, Goethe University Frankfurt, Frankfurt, Germany
| | - Emiliano Giardina
- Genomic Medicine Laboratory UILDM, IRCCS Santa Lucia Foundation, Rome, Italy
- Department of Biomedicine and Prevention, Tor Vergata University, Rome, Italy
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9
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Lambrughi M, Maiani E, Aykac Fas B, Shaw GS, Kragelund BB, Lindorff-Larsen K, Teilum K, Invernizzi G, Papaleo E. Ubiquitin Interacting Motifs: Duality Between Structured and Disordered Motifs. Front Mol Biosci 2021; 8:676235. [PMID: 34262938 PMCID: PMC8273247 DOI: 10.3389/fmolb.2021.676235] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Accepted: 05/14/2021] [Indexed: 01/11/2023] Open
Abstract
Ubiquitin is a small protein at the heart of many cellular processes, and several different protein domains are known to recognize and bind ubiquitin. A common motif for interaction with ubiquitin is the Ubiquitin Interacting Motif (UIM), characterized by a conserved sequence signature and often found in multi-domain proteins. Multi-domain proteins with intrinsically disordered regions mediate interactions with multiple partners, orchestrating diverse pathways. Short linear motifs for binding are often embedded in these disordered regions and play crucial roles in modulating protein function. In this work, we investigated the structural propensities of UIMs using molecular dynamics simulations and NMR chemical shifts. Despite the structural portrait depicted by X-crystallography of stable helical structures, we show that UIMs feature both helical and intrinsically disordered conformations. Our results shed light on a new class of disordered UIMs. This group is here exemplified by the C-terminal domain of one isoform of ataxin-3 and a group of ubiquitin-specific proteases. Intriguingly, UIMs not only bind ubiquitin. They can be a recruitment point for other interactors, such as parkin and the heat shock protein Hsc70-4. Disordered UIMs can provide versatility and new functions to the client proteins, opening new directions for research on their interactome.
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Affiliation(s)
- Matteo Lambrughi
- Computational Biology Laboratory, Danish Cancer Society Research Center, Copenhagen, Denmark.,Department of Biotechnology and Bioscience, University of Milano-Bicocca, Milano, Italy
| | - Emiliano Maiani
- Computational Biology Laboratory, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Burcu Aykac Fas
- Computational Biology Laboratory, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Gary S Shaw
- Department of Biochemistry, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, ON, Canada
| | - Birthe B Kragelund
- Structural Biology and NMR Laboratory and The Linderstrøm-Lang Centre for Protein Science, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Kresten Lindorff-Larsen
- Structural Biology and NMR Laboratory and The Linderstrøm-Lang Centre for Protein Science, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Kaare Teilum
- Structural Biology and NMR Laboratory and The Linderstrøm-Lang Centre for Protein Science, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Gaetano Invernizzi
- Structural Biology and NMR Laboratory and The Linderstrøm-Lang Centre for Protein Science, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Elena Papaleo
- Computational Biology Laboratory, Danish Cancer Society Research Center, Copenhagen, Denmark.,Cancer Systems Biology, Section for Bioinformatics, Department of Health and Technology, Technical University of Denmark, Lyngby, Denmark
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10
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Carinci M, Testa B, Bordi M, Milletti G, Bonora M, Antonucci L, Ferraina C, Carro M, Kumar M, Ceglie D, Eck F, Nardacci R, le Guerroué F, Petrini S, Soriano ME, Caruana I, Doria V, Manifava M, Peron C, Lambrughi M, Tiranti V, Behrends C, Papaleo E, Pinton P, Giorgi C, Ktistakis NT, Locatelli F, Nazio F, Cecconi F. TFG binds LC3C to regulate ULK1 localization and autophagosome formation. EMBO J 2021; 40:e103563. [PMID: 33932238 PMCID: PMC8126910 DOI: 10.15252/embj.2019103563] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2019] [Revised: 02/17/2021] [Accepted: 03/01/2021] [Indexed: 12/14/2022] Open
Abstract
The early secretory pathway and autophagy are two essential and evolutionarily conserved endomembrane processes that are finely interlinked. Although growing evidence suggests that intracellular trafficking is important for autophagosome biogenesis, the molecular regulatory network involved is still not fully defined. In this study, we demonstrate a crucial effect of the COPII vesicle-related protein TFG (Trk-fused gene) on ULK1 puncta number and localization during autophagy induction. This, in turn, affects formation of the isolation membrane, as well as the correct dynamics of association between LC3B and early ATG proteins, leading to the proper formation of both omegasomes and autophagosomes. Consistently, fibroblasts derived from a hereditary spastic paraparesis (HSP) patient carrying mutated TFG (R106C) show defects in both autophagy and ULK1 puncta accumulation. In addition, we demonstrate that TFG activity in autophagy depends on its interaction with the ATG8 protein LC3C through a canonical LIR motif, thereby favouring LC3C-ULK1 binding. Altogether, our results uncover a link between TFG and autophagy and identify TFG as a molecular scaffold linking the early secretion pathway to autophagy.
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Affiliation(s)
- Marianna Carinci
- Department of Pediatric Hemato-Oncology and Cell and Gene Therapy, IRCCS Bambino Gesù Children's Hospital, Rome, Italy.,Department of Medical Sciences, University of Ferrara, Laboratory of Technologies for Advanced Therapy (LTTA), Technopole of Ferrara, Ferrara, Italy
| | - Beatrice Testa
- Department of Biology, University of Rome Tor Vergata, Rome, Italy
| | - Matteo Bordi
- Department of Pediatric Hemato-Oncology and Cell and Gene Therapy, IRCCS Bambino Gesù Children's Hospital, Rome, Italy.,Department of Biology, University of Rome Tor Vergata, Rome, Italy
| | - Giacomo Milletti
- Department of Pediatric Hemato-Oncology and Cell and Gene Therapy, IRCCS Bambino Gesù Children's Hospital, Rome, Italy.,Department of Biology, University of Rome Tor Vergata, Rome, Italy
| | - Massimo Bonora
- Department of Medical Sciences, University of Ferrara, Laboratory of Technologies for Advanced Therapy (LTTA), Technopole of Ferrara, Ferrara, Italy
| | - Laura Antonucci
- Department of Pediatric Hemato-Oncology and Cell and Gene Therapy, IRCCS Bambino Gesù Children's Hospital, Rome, Italy
| | - Caterina Ferraina
- Department of Pediatric Hemato-Oncology and Cell and Gene Therapy, IRCCS Bambino Gesù Children's Hospital, Rome, Italy
| | - Marta Carro
- Department of Biology, University of Padua, Padua, Italy
| | - Mukesh Kumar
- Computational Biology Laboratory, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Donatella Ceglie
- Department of Pediatric Hemato-Oncology and Cell and Gene Therapy, IRCCS Bambino Gesù Children's Hospital, Rome, Italy
| | - Franziska Eck
- Munich Cluster for Systems Neurology (SyNergy), Ludwig-Maximilians-Universität (LMU), München, Germany
| | - Roberta Nardacci
- Department of Epidemiology and Preclinical Research, National Institute for Infectious Diseases IRCCS "L. Spallanzani", Rome, Italy
| | - Francois le Guerroué
- Munich Cluster for Systems Neurology (SyNergy), Ludwig-Maximilians-Universität (LMU), München, Germany
| | - Stefania Petrini
- Confocal Microscopy Core Facility, Research Laboratories, IRCCS Bambino Gesù Children's Hospital, Rome, Italy
| | | | - Ignazio Caruana
- Department of Pediatric Hemato-Oncology and Cell and Gene Therapy, IRCCS Bambino Gesù Children's Hospital, Rome, Italy
| | - Valentina Doria
- Confocal Microscopy Core Facility, Research Laboratories, IRCCS Bambino Gesù Children's Hospital, Rome, Italy
| | | | - Camille Peron
- UO Medical Genetics and Neurogenetics, Fondazione IRCCS Istituto Neurologico C. Besta, Milan, Italy
| | - Matteo Lambrughi
- Computational Biology Laboratory, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Valeria Tiranti
- UO Medical Genetics and Neurogenetics, Fondazione IRCCS Istituto Neurologico C. Besta, Milan, Italy
| | - Christian Behrends
- Munich Cluster for Systems Neurology (SyNergy), Ludwig-Maximilians-Universität (LMU), München, Germany
| | - Elena Papaleo
- Computational Biology Laboratory, Danish Cancer Society Research Center, Copenhagen, Denmark.,Translational Disease Systems Biology, Faculty of Health and Medical Sciences, Novo Nordisk Foundation Center for Protein Research University of Copenhagen, Copenhagen, Denmark
| | - Paolo Pinton
- Department of Medical Sciences, University of Ferrara, Laboratory of Technologies for Advanced Therapy (LTTA), Technopole of Ferrara, Ferrara, Italy
| | - Carlotta Giorgi
- Department of Medical Sciences, University of Ferrara, Laboratory of Technologies for Advanced Therapy (LTTA), Technopole of Ferrara, Ferrara, Italy
| | | | - Franco Locatelli
- Department of Pediatric Hemato-Oncology and Cell and Gene Therapy, IRCCS Bambino Gesù Children's Hospital, Rome, Italy.,Department of Gynecology/Obstetrics and Pediatrics, Sapienza University, Rome, Italy
| | - Francesca Nazio
- Department of Pediatric Hemato-Oncology and Cell and Gene Therapy, IRCCS Bambino Gesù Children's Hospital, Rome, Italy
| | - Francesco Cecconi
- Department of Pediatric Hemato-Oncology and Cell and Gene Therapy, IRCCS Bambino Gesù Children's Hospital, Rome, Italy.,Department of Biology, University of Rome Tor Vergata, Rome, Italy.,Unit of Cell Stress and Survival, Danish Cancer Society Research Center, Copenhagen, Denmark
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11
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Sora V, Kumar M, Maiani E, Lambrughi M, Tiberti M, Papaleo E. Structure and Dynamics in the ATG8 Family From Experimental to Computational Techniques. Front Cell Dev Biol 2020; 8:420. [PMID: 32587856 PMCID: PMC7297954 DOI: 10.3389/fcell.2020.00420] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Accepted: 05/06/2020] [Indexed: 12/31/2022] Open
Abstract
Autophagy is a conserved and essential intracellular mechanism for the removal of damaged components. Since autophagy deregulation is linked to different kinds of pathologies, it is fundamental to gain knowledge on the fine molecular and structural details related to the core proteins of the autophagy machinery. Among these, the family of human ATG8 proteins plays a central role in recruiting other proteins to the different membrane structures involved in the autophagic pathway. Several experimental structures are available for the members of the ATG8 family alone or in complex with their different biological partners, including disordered regions of proteins containing a short linear motif called LC3 interacting motif. Recently, the first structural details of the interaction of ATG8 proteins with biological membranes came into light. The availability of structural data for human ATG8 proteins has been paving the way for studies on their structure-function-dynamic relationship using biomolecular simulations. Experimental and computational structural biology can help to address several outstanding questions on the mechanism of human ATG8 proteins, including their specificity toward different interactors, their association with membranes, the heterogeneity of their conformational ensemble, and their regulation by post-translational modifications. We here summarize the main results collected so far and discuss the future perspectives within the field and the knowledge gaps. Our review can serve as a roadmap for future structural and dynamics studies of the ATG8 family members in health and disease.
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Affiliation(s)
- Valentina Sora
- Computational Biology Laboratory, Center for Autophagy, Recycling and Disease, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Mukesh Kumar
- Computational Biology Laboratory, Center for Autophagy, Recycling and Disease, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Emiliano Maiani
- Computational Biology Laboratory, Center for Autophagy, Recycling and Disease, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Matteo Lambrughi
- Computational Biology Laboratory, Center for Autophagy, Recycling and Disease, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Matteo Tiberti
- Computational Biology Laboratory, Center for Autophagy, Recycling and Disease, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Elena Papaleo
- Computational Biology Laboratory, Center for Autophagy, Recycling and Disease, Danish Cancer Society Research Center, Copenhagen, Denmark
- Translational Disease System Biology, Faculty of Health and Medical Sciences, Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark
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12
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Hatos A, Hajdu-Soltész B, Monzon AM, Palopoli N, Álvarez L, Aykac-Fas B, Bassot C, Benítez GI, Bevilacqua M, Chasapi A, Chemes L, Davey NE, Davidović R, Dunker AK, Elofsson A, Gobeill J, Foutel NSG, Sudha G, Guharoy M, Horvath T, Iglesias V, Kajava AV, Kovacs OP, Lamb J, Lambrughi M, Lazar T, Leclercq JY, Leonardi E, Macedo-Ribeiro S, Macossay-Castillo M, Maiani E, Manso JA, Marino-Buslje C, Martínez-Pérez E, Mészáros B, Mičetić I, Minervini G, Murvai N, Necci M, Ouzounis CA, Pajkos M, Paladin L, Pancsa R, Papaleo E, Parisi G, Pasche E, Barbosa Pereira PJ, Promponas VJ, Pujols J, Quaglia F, Ruch P, Salvatore M, Schad E, Szabo B, Szaniszló T, Tamana S, Tantos A, Veljkovic N, Ventura S, Vranken W, Dosztányi Z, Tompa P, Tosatto SCE, Piovesan D. DisProt: intrinsic protein disorder annotation in 2020. Nucleic Acids Res 2020; 48:D269-D276. [PMID: 31713636 PMCID: PMC7145575 DOI: 10.1093/nar/gkz975] [Citation(s) in RCA: 98] [Impact Index Per Article: 24.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2019] [Revised: 10/11/2019] [Accepted: 10/12/2019] [Indexed: 11/29/2022] Open
Abstract
The Database of Protein Disorder (DisProt, URL: https://disprot.org) provides manually curated annotations of intrinsically disordered proteins from the literature. Here we report recent developments with DisProt (version 8), including the doubling of protein entries, a new disorder ontology, improvements of the annotation format and a completely new website. The website includes a redesigned graphical interface, a better search engine, a clearer API for programmatic access and a new annotation interface that integrates text mining technologies. The new entry format provides a greater flexibility, simplifies maintenance and allows the capture of more information from the literature. The new disorder ontology has been formalized and made interoperable by adopting the OWL format, as well as its structure and term definitions have been improved. The new annotation interface has made the curation process faster and more effective. We recently showed that new DisProt annotations can be effectively used to train and validate disorder predictors. We believe the growth of DisProt will accelerate, contributing to the improvement of function and disorder predictors and therefore to illuminate the ‘dark’ proteome.
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Affiliation(s)
- András Hatos
- Department of Biomedical Sciences, University of Padova, Padova 35121, Italy
| | - Borbála Hajdu-Soltész
- MTA-ELTE Lendület Bioinformatics Research Group, Department of Biochemistry, Eötvös Loránd University, Budapest 1117, Hungary
| | - Alexander M Monzon
- Department of Biomedical Sciences, University of Padova, Padova 35121, Italy
| | - Nicolas Palopoli
- Departamento de Ciencia y Tecnología, Universidad Nacional de Quilmes - CONICET, Bernal, Buenos Aires B1876BXD, Argentina
| | - Lucía Álvarez
- Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Biotecnológicas IIBIO, Universidad Nacional de San Martín, San Martín, Buenos Aires, Argentina
| | - Burcu Aykac-Fas
- Computational Biology Laboratory, Danish Cancer Society Research Center, Copenhagen DK-2100, Denmark
| | - Claudio Bassot
- Department of Biochemistry and Biophysics and Science for Life Laboratory, Stockholm University, Box 1031, Solna 17121, Sweden
| | - Guillermo I Benítez
- Departamento de Ciencia y Tecnología, Universidad Nacional de Quilmes - CONICET, Bernal, Buenos Aires B1876BXD, Argentina
| | - Martina Bevilacqua
- Department of Biomedical Sciences, University of Padova, Padova 35121, Italy
| | - Anastasia Chasapi
- Biological Computation & Process Laboratory, Chemical Process & Energy Resources Institute, Centre for Research & Technology Hellas, Thessalonica GR-57500, Greece
| | - Lucia Chemes
- Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Biotecnológicas IIBIO, Universidad Nacional de San Martín, San Martín, Buenos Aires, Argentina.,Departamento de Fisiología y Biología Molecular y Celular (DFBMC), Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina
| | - Norman E Davey
- Division of Cancer Biology, The Institute of Cancer Research, Chelsea, London SW3 6BJ, UK
| | - Radoslav Davidović
- Laboratory for Bioinformatics and Computational Chemistry, Institute of Nuclear Sciences Vinca, University of Belgrade, Belgrade 11001, Serbia
| | - A Keith Dunker
- Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, IN 46202, USA
| | - Arne Elofsson
- Department of Biochemistry and Biophysics and Science for Life Laboratory, Stockholm University, Box 1031, Solna 17121, Sweden
| | - Julien Gobeill
- Swiss Institute of Bioinformatics and HES-SO \ HEG, Geneva 1200, Switzerland
| | - Nicolás S González Foutel
- Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Biotecnológicas IIBIO, Universidad Nacional de San Martín, San Martín, Buenos Aires, Argentina
| | - Govindarajan Sudha
- Department of Biochemistry and Biophysics and Science for Life Laboratory, Stockholm University, Box 1031, Solna 17121, Sweden
| | - Mainak Guharoy
- Structural Biology Brussels, Vrije Universiteit Brussel (VUB), Brussels 1050, Belgium.,VIB-VUB Center for Structural Biology, Flanders Institute for Biotechnology (VIB), Brussels 1050, Belgium
| | - Tamas Horvath
- Institute of Enzymology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Budapest H-1117, Hungary
| | - Valentin Iglesias
- Departament de Bioquímica i Biologia Molecular and Institut de Biotecnologia i Biomedicina, Universitat Autònoma de Barcelona, Bellaterra 08193, Spain
| | - Andrey V Kajava
- Centre de Recherche en Biologie cellulaire de Montpellier (CRBM), UMR 5237 CNRS, Université Montpellier, Montpellier 34293, France.,Institut de Biologie Computationnelle(IBC), Montpellier 34095, France
| | - Orsolya P Kovacs
- Institute of Enzymology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Budapest H-1117, Hungary
| | - John Lamb
- Department of Biochemistry and Biophysics and Science for Life Laboratory, Stockholm University, Box 1031, Solna 17121, Sweden
| | - Matteo Lambrughi
- Computational Biology Laboratory, Danish Cancer Society Research Center, Copenhagen DK-2100, Denmark
| | - Tamas Lazar
- Structural Biology Brussels, Vrije Universiteit Brussel (VUB), Brussels 1050, Belgium.,VIB-VUB Center for Structural Biology, Flanders Institute for Biotechnology (VIB), Brussels 1050, Belgium
| | - Jeremy Y Leclercq
- Centre de Recherche en Biologie cellulaire de Montpellier (CRBM), UMR 5237 CNRS, Université Montpellier, Montpellier 34293, France
| | - Emanuela Leonardi
- Department of Woman and Child Health, University of Padova, Padova 35127, Italy.,Fondazione Istituto di Ricerca Pediatrica (IRP), Città della Speranza, Padova 35127, Italy
| | - Sandra Macedo-Ribeiro
- Instituto de Biologia Molecular e Celular (IBMC) and Instituto de Investigação e Inovação em Saúde (i3S), Universidade do Porto, Porto 4200-135, Portugal
| | - Mauricio Macossay-Castillo
- Structural Biology Brussels, Vrije Universiteit Brussel (VUB), Brussels 1050, Belgium.,VIB-VUB Center for Structural Biology, Flanders Institute for Biotechnology (VIB), Brussels 1050, Belgium
| | - Emiliano Maiani
- Computational Biology Laboratory, Danish Cancer Society Research Center, Copenhagen DK-2100, Denmark
| | - José A Manso
- Instituto de Biologia Molecular e Celular (IBMC) and Instituto de Investigação e Inovação em Saúde (i3S), Universidade do Porto, Porto 4200-135, Portugal
| | - Cristina Marino-Buslje
- Bioinformatics Unit. Fundación Instituto Leloir, Ciudad de Buenos Aires C1405BWE, Argentina
| | | | - Bálint Mészáros
- MTA-ELTE Lendület Bioinformatics Research Group, Department of Biochemistry, Eötvös Loránd University, Budapest 1117, Hungary
| | - Ivan Mičetić
- Department of Biomedical Sciences, University of Padova, Padova 35121, Italy
| | - Giovanni Minervini
- Department of Biomedical Sciences, University of Padova, Padova 35121, Italy
| | - Nikoletta Murvai
- Institute of Enzymology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Budapest H-1117, Hungary
| | - Marco Necci
- Department of Biomedical Sciences, University of Padova, Padova 35121, Italy
| | - Christos A Ouzounis
- Biological Computation & Process Laboratory, Chemical Process & Energy Resources Institute, Centre for Research & Technology Hellas, Thessalonica GR-57500, Greece
| | - Mátyás Pajkos
- MTA-ELTE Lendület Bioinformatics Research Group, Department of Biochemistry, Eötvös Loránd University, Budapest 1117, Hungary
| | - Lisanna Paladin
- Department of Biomedical Sciences, University of Padova, Padova 35121, Italy
| | - Rita Pancsa
- Institute of Enzymology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Budapest H-1117, Hungary
| | - Elena Papaleo
- Computational Biology Laboratory, Danish Cancer Society Research Center, Copenhagen DK-2100, Denmark.,Translational Disease Systems Biology, Faculty of Health and Medical Sciences, Novo Nordisk Foundation Center for Protein Research University of Copenhagen, Copenhagen DK-2200, Denmark
| | - Gustavo Parisi
- Departamento de Ciencia y Tecnología, Universidad Nacional de Quilmes - CONICET, Bernal, Buenos Aires B1876BXD, Argentina
| | - Emilie Pasche
- Swiss Institute of Bioinformatics and HES-SO \ HEG, Geneva 1200, Switzerland
| | - Pedro J Barbosa Pereira
- Instituto de Biologia Molecular e Celular (IBMC) and Instituto de Investigação e Inovação em Saúde (i3S), Universidade do Porto, Porto 4200-135, Portugal
| | - Vasilis J Promponas
- Bioinformatics Research Laboratory, Department of Biological Sciences, University of Cyprus, Nicosia, CY 1678, Cyprus
| | - Jordi Pujols
- Departament de Bioquímica i Biologia Molecular and Institut de Biotecnologia i Biomedicina, Universitat Autònoma de Barcelona, Bellaterra 08193, Spain
| | - Federica Quaglia
- Department of Biomedical Sciences, University of Padova, Padova 35121, Italy
| | - Patrick Ruch
- Swiss Institute of Bioinformatics and HES-SO \ HEG, Geneva 1200, Switzerland
| | - Marco Salvatore
- Department of Biochemistry and Biophysics and Science for Life Laboratory, Stockholm University, Box 1031, Solna 17121, Sweden
| | - Eva Schad
- Institute of Enzymology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Budapest H-1117, Hungary
| | - Beata Szabo
- Institute of Enzymology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Budapest H-1117, Hungary
| | - Tamás Szaniszló
- MTA-ELTE Lendület Bioinformatics Research Group, Department of Biochemistry, Eötvös Loránd University, Budapest 1117, Hungary
| | - Stella Tamana
- Bioinformatics Research Laboratory, Department of Biological Sciences, University of Cyprus, Nicosia, CY 1678, Cyprus
| | - Agnes Tantos
- Institute of Enzymology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Budapest H-1117, Hungary
| | - Nevena Veljkovic
- Laboratory for Bioinformatics and Computational Chemistry, Institute of Nuclear Sciences Vinca, University of Belgrade, Belgrade 11001, Serbia
| | - Salvador Ventura
- Departament de Bioquímica i Biologia Molecular and Institut de Biotecnologia i Biomedicina, Universitat Autònoma de Barcelona, Bellaterra 08193, Spain
| | - Wim Vranken
- Structural Biology Brussels, Vrije Universiteit Brussel (VUB), Brussels 1050, Belgium.,VIB-VUB Center for Structural Biology, Flanders Institute for Biotechnology (VIB), Brussels 1050, Belgium.,Interuniversity Institute of Bioinformatics in Brussels (IB2), ULB-VUB, Brussels 1050, Belgium
| | - Zsuzsanna Dosztányi
- MTA-ELTE Lendület Bioinformatics Research Group, Department of Biochemistry, Eötvös Loránd University, Budapest 1117, Hungary
| | - Peter Tompa
- Structural Biology Brussels, Vrije Universiteit Brussel (VUB), Brussels 1050, Belgium.,VIB-VUB Center for Structural Biology, Flanders Institute for Biotechnology (VIB), Brussels 1050, Belgium.,Institute of Enzymology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Budapest H-1117, Hungary
| | - Silvio C E Tosatto
- Department of Biomedical Sciences, University of Padova, Padova 35121, Italy.,CNR Institute of Neurosceince, Padova 35121, Italy
| | - Damiano Piovesan
- Department of Biomedical Sciences, University of Padova, Padova 35121, Italy
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13
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Saez-Jimenez V, Maršić ŽS, Lambrughi M, Shin JH, van Havere R, Papaleo E, Olsson L, Mapelli V. Structure-function investigation of 3-methylaspartate ammonia lyase reveals substrate molecular determinants for the deamination reaction. PLoS One 2020; 15:e0233467. [PMID: 32437404 PMCID: PMC7241714 DOI: 10.1371/journal.pone.0233467] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2020] [Accepted: 05/05/2020] [Indexed: 12/03/2022] Open
Abstract
The enzymatic reactions leading to the deamination of β-lysine, lysine, or 2-aminoadipic acid are of great interest for the metabolic conversion of lysine to adipic acid. Enzymes able to carry out these reactions are not known, however ammonia lyases (EC 4.3.1.-) perform deamination on a wide range of substrates. We have studied 3-methylaspartate ammonia lyase (MAL, EC 4.3.1.2) as a potential candidate for protein engineering to enable deamination towards β-lysine, that we have shown to be a competitive inhibitor of MAL. We have characterized MAL activity, binding and inhibition properties on six different compounds that would allow to define the molecular determinants necessary for MAL to deaminate our substrate of interest. Docking calculations showed that β-lysine as well as the other compounds investigated could fit spatially into MAL catalytic pocket, although they probably are weak or very transient binders and we identified molecular determinants involved in the binding of the substrate. The hydrophobic interactions formed by the methyl group of 3-methylaspartic acid, together with the presence of the amino group on carbon 2, play an essential role in the appropriate binding of the substrate. The results showed that β-lysine is able to fit and bind in MAL catalytic pocket and can be potentially converted from inhibitor to substrate of MAL upon enzyme engineering. The characterization of the binding and inhibition properties of the substrates tested here provide the foundation for future and more extensive studies on engineering MAL that could lead to a MAL variant able to catalyse this challenging deamination reaction.
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Affiliation(s)
- Veronica Saez-Jimenez
- Division of Industrial Biotechnology, Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden
| | - Željka Sanader Maršić
- Computational Biology Laboratory, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Matteo Lambrughi
- Computational Biology Laboratory, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Jae Ho Shin
- Division of Industrial Biotechnology, Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden
| | - Robin van Havere
- Division of Industrial Biotechnology, Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden
| | - Elena Papaleo
- Computational Biology Laboratory, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Lisbeth Olsson
- Division of Industrial Biotechnology, Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden
| | - Valeria Mapelli
- Division of Industrial Biotechnology, Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden
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14
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Lambrughi M, Sanader Maršić Ž, Saez-Jimenez V, Mapelli V, Olsson L, Papaleo E. Conformational gating in ammonia lyases. Biochim Biophys Acta Gen Subj 2020; 1864:129605. [PMID: 32222547 DOI: 10.1016/j.bbagen.2020.129605] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2019] [Revised: 03/11/2020] [Accepted: 03/23/2020] [Indexed: 11/17/2022]
Abstract
BACKGROUND Ammonia lyases are enzymes of industrial and biomedical interest. Knowledge of structure-dynamics-function relationship in ammonia lyases is instrumental for exploiting the potential of these enzymes in industrial or biomedical applications. METHODS We investigated the conformational changes in the proximity of the catalytic pocket of a 3-methylaspartate ammonia lyase (MAL) as a model system. At this scope, we used microsecond all-atom molecular dynamics simulations, analyzed with dimensionality reduction techniques, as well as in terms of contact networks and correlated motions. RESULTS We identify two regulatory elements in the MAL structure, i.e., the β5-α2 loop and the helix-hairpin-loop subdomain. These regulatory elements undergo conformational changes switching from 'occluded' to 'open' states. The rearrangements are coupled to changes in the accessibility of the active site. The β5-α2 loop and the helix-hairpin-loop subdomain modulate the formation of tunnels from the protein surface to the catalytic site, making the active site more accessible to the substrate when they are in an open state. CONCLUSIONS Our work pinpoints a sequential mechanism, in which the helix-hairpin-loop subdomain of MAL needs to break a subset of intramolecular interactions first to favor the displacement of the β5-α2 loop. The coupled conformational changes of these two elements contribute to modulate the accessibility of the catalytic site. GENERAL SIGNIFICANCE Similar molecular mechanisms can have broad relevance in other ammonia lyases with similar regulatory loops. Our results also imply that it is important to account for protein dynamics in the design of variants of ammonia lyases for industrial and biomedical applications.
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Affiliation(s)
- Matteo Lambrughi
- Computational Biology Laboratory, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Željka Sanader Maršić
- Computational Biology Laboratory, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Veronica Saez-Jimenez
- Division of Industrial Biotechnology, Department of Biology and Biological Engineering, Chalmers University of Technology, Göteborg, Sweden
| | - Valeria Mapelli
- Division of Industrial Biotechnology, Department of Biology and Biological Engineering, Chalmers University of Technology, Göteborg, Sweden
| | - Lisbeth Olsson
- Division of Industrial Biotechnology, Department of Biology and Biological Engineering, Chalmers University of Technology, Göteborg, Sweden
| | - Elena Papaleo
- Computational Biology Laboratory, Danish Cancer Society Research Center, Copenhagen, Denmark; Translational Disease Systems Biology, Faculty of Health and Medical Sciences, Novo Nordisk Foundation Center for Protein Research University of Copenhagen, Copenhagen, Denmark.
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15
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Faienza F, Lambrughi M, Rizza S, Pecorari C, Giglio P, Salamanca Viloria J, Allega MF, Chiappetta G, Vinh J, Pacello F, Battistoni A, Rasola A, Papaleo E, Filomeni G. S-nitrosylation affects TRAP1 structure and ATPase activity and modulates cell response to apoptotic stimuli. Biochem Pharmacol 2020; 176:113869. [PMID: 32088262 DOI: 10.1016/j.bcp.2020.113869] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2019] [Accepted: 02/18/2020] [Indexed: 12/21/2022]
Abstract
The mitochondrial chaperone TRAP1 has been involved in several mitochondrial functions, and modulation of its expression/activity has been suggested to play a role in the metabolic reprogramming distinctive of cancer cells. TRAP1 posttranslational modifications, i.e. phosphorylation, can modify its capability to bind to different client proteins and modulate its oncogenic activity. Recently, it has been also demonstrated that TRAP1 is S-nitrosylated at Cys501, a redox modification associated with its degradation via the proteasome. Here we report molecular dynamics simulations of TRAP1, together with analysis of long-range structural communication, providing a model according to which Cys501 S-nitrosylation induces conformational changes to distal sites in the structure of the protein. The modification is also predicted to alter open and closing motions for the chaperone function. By means of colorimetric assays and site directed mutagenesis aimed at generating C501S variant, we also experimentally confirmed that selective S-nitrosylation of Cys501 decreases ATPase activity of recombinant TRAP1. Coherently, C501S mutant was more active and conferred protection to cell death induced by staurosporine. Overall, our results provide the first in silico, in vitro and cellular evidence of the relevance of Cys501 S-nitrosylation in TRAP1 biology.
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Affiliation(s)
- Fiorella Faienza
- Department of Biology, Tor Vergata University of Rome, 00133 Rome, Italy
| | - Matteo Lambrughi
- Computational Biology Laboratory, Center of Excellence in Autophagy, Recycling and Disease (CARD), Danish Cancer Society Research Center, 2100 Copenhagen, Denmark
| | - Salvatore Rizza
- Redox Signaling and Oxidative Stress Group, Danish Cancer Society Research Center, 2100 Copenhagen, Denmark
| | - Chiara Pecorari
- Department of Biology, Tor Vergata University of Rome, 00133 Rome, Italy; Redox Signaling and Oxidative Stress Group, Danish Cancer Society Research Center, 2100 Copenhagen, Denmark
| | - Paola Giglio
- Department of Biology, Tor Vergata University of Rome, 00133 Rome, Italy
| | - Juan Salamanca Viloria
- Computational Biology Laboratory, Center of Excellence in Autophagy, Recycling and Disease (CARD), Danish Cancer Society Research Center, 2100 Copenhagen, Denmark
| | - Maria Francesca Allega
- Computational Biology Laboratory, Center of Excellence in Autophagy, Recycling and Disease (CARD), Danish Cancer Society Research Center, 2100 Copenhagen, Denmark; Redox Signaling and Oxidative Stress Group, Danish Cancer Society Research Center, 2100 Copenhagen, Denmark
| | - Giovanni Chiappetta
- Laboratory of Proteomics and Biological Mass Spectrometry, USR, CNRS - ESPCI Paris, PSL University, 3149, 10 rue, Vauquelin, Paris cedex, 05 75231, France
| | - Joëlle Vinh
- Laboratory of Proteomics and Biological Mass Spectrometry, USR, CNRS - ESPCI Paris, PSL University, 3149, 10 rue, Vauquelin, Paris cedex, 05 75231, France
| | - Francesca Pacello
- Department of Biology, Tor Vergata University of Rome, 00133 Rome, Italy
| | - Andrea Battistoni
- Department of Biology, Tor Vergata University of Rome, 00133 Rome, Italy
| | - Andrea Rasola
- Department of Biomedical Sciences, University of Padova, Padova, Italy
| | - Elena Papaleo
- Computational Biology Laboratory, Center of Excellence in Autophagy, Recycling and Disease (CARD), Danish Cancer Society Research Center, 2100 Copenhagen, Denmark; Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
| | - Giuseppe Filomeni
- Department of Biology, Tor Vergata University of Rome, 00133 Rome, Italy; Redox Signaling and Oxidative Stress Group, Danish Cancer Society Research Center, 2100 Copenhagen, Denmark; Center for Healthy Aging, University of Copenhagen, Denmark.
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16
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Kønig SM, Rissler V, Terkelsen T, Lambrughi M, Papaleo E. Alterations of the interactome of Bcl-2 proteins in breast cancer at the transcriptional, mutational and structural level. PLoS Comput Biol 2019; 15:e1007485. [PMID: 31825969 PMCID: PMC6927658 DOI: 10.1371/journal.pcbi.1007485] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2019] [Revised: 12/23/2019] [Accepted: 10/12/2019] [Indexed: 12/11/2022] Open
Abstract
Apoptosis is an essential defensive mechanism against tumorigenesis. Proteins of the B-cell lymphoma-2 (Bcl-2) family regulate programmed cell death by the mitochondrial apoptosis pathway. In response to intracellular stress, the apoptotic balance is governed by interactions of three distinct subgroups of proteins; the activator/sensitizer BH3 (Bcl-2 homology 3)-only proteins, the pro-survival, and the pro-apoptotic executioner proteins. Changes in expression levels, stability, and functional impairment of pro-survival proteins can lead to an imbalance in tissue homeostasis. Their overexpression or hyperactivation can result in oncogenic effects. Pro-survival Bcl-2 family members carry out their function by binding the BH3 short linear motif of pro-apoptotic proteins in a modular way, creating a complex network of protein-protein interactions. Their dysfunction enables cancer cells to evade cell death. The critical role of Bcl-2 proteins in homeostasis and tumorigenesis, coupled with mounting insight in their structural properties, make them therapeutic targets of interest. A better understanding of gene expression, mutational profile, and molecular mechanisms of pro-survival Bcl-2 proteins in different cancer types, could help to clarify their role in cancer development and may guide advancement in drug discovery. Here, we shed light on the pro-survival Bcl-2 proteins in breast cancer using different bioinformatic approaches, linking -omics with structural data. We analyzed the changes in the expression of the Bcl-2 proteins and their BH3-containing interactors in breast cancer samples. We then studied, at the structural level, a selection of interactions, accounting for effects induced by mutations found in the breast cancer samples. We find two complexes between the up-regulated Bcl2A1 and two down-regulated BH3-only candidates (i.e., Hrk and Nr4a1) as targets associated with reduced apoptosis in breast cancer samples for future experimental validation. Furthermore, we predict L99R, M75R as damaging mutations altering protein stability, and Y120C as a possible allosteric mutation from an exposed surface to the BH3-binding site.
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Affiliation(s)
- Simon Mathis Kønig
- Computational Biology Laboratory, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Vendela Rissler
- Computational Biology Laboratory, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Thilde Terkelsen
- Computational Biology Laboratory, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Matteo Lambrughi
- Computational Biology Laboratory, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Elena Papaleo
- Computational Biology Laboratory, Danish Cancer Society Research Center, Copenhagen, Denmark
- Translational Disease Systems Biology, Faculty of Health and Medical Sciences, Novo Nordisk Foundation Center for Protein Research University of Copenhagen, Copenhagen, Denmark
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17
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Holdgaard SG, Cianfanelli V, Pupo E, Lambrughi M, Lubas M, Nielsen JC, Eibes S, Maiani E, Harder LM, Wesch N, Foged MM, Maeda K, Nazio F, de la Ballina LR, Dötsch V, Brech A, Frankel LB, Jäättelä M, Locatelli F, Barisic M, Andersen JS, Bekker-Jensen S, Lund AH, Rogov VV, Papaleo E, Lanzetti L, De Zio D, Cecconi F. Selective autophagy maintains centrosome integrity and accurate mitosis by turnover of centriolar satellites. Nat Commun 2019; 10:4176. [PMID: 31519908 PMCID: PMC6744468 DOI: 10.1038/s41467-019-12094-9] [Citation(s) in RCA: 51] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2019] [Accepted: 08/21/2019] [Indexed: 12/21/2022] Open
Abstract
The centrosome is the master orchestrator of mitotic spindle formation and chromosome segregation in animal cells. Centrosome abnormalities are frequently observed in cancer, but little is known of their origin and about pathways affecting centrosome homeostasis. Here we show that autophagy preserves centrosome organization and stability through selective turnover of centriolar satellite components, a process we termed doryphagy. Autophagy targets the satellite organizer PCM1 by interacting with GABARAPs via a C-terminal LIR motif. Accordingly, autophagy deficiency results in accumulation of large abnormal centriolar satellites and a resultant dysregulation of centrosome composition. These alterations have critical impact on centrosome stability and lead to mitotic centrosome fragmentation and unbalanced chromosome segregation. Our findings identify doryphagy as an important centrosome-regulating pathway and bring mechanistic insights to the link between autophagy dysfunction and chromosomal instability. In addition, we highlight the vital role of centriolar satellites in maintaining centrosome integrity.
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Affiliation(s)
- Søs Grønbæk Holdgaard
- Cell Stress and Survival Unit, Center for Autophagy, Recycling and Disease (CARD), Danish Cancer Society Research Center, Copenhagen, 2100, Denmark
| | - Valentina Cianfanelli
- Cell Stress and Survival Unit, Center for Autophagy, Recycling and Disease (CARD), Danish Cancer Society Research Center, Copenhagen, 2100, Denmark
| | - Emanuela Pupo
- Department of Oncology, University of Torino Medical School, Turin, 10100, Italy
- Candiolo Cancer Institute, FPO - IRCCS, Candiolo, 10060, Italy
| | - Matteo Lambrughi
- Computational Biology Laboratory, Center for Autophagy, Recycling and Disease (CARD), Danish Cancer Society Research Center, Copenhagen, 2100, Denmark
| | - Michal Lubas
- Biotech Research & Innovation Centre, University of Copenhagen, Copenhagen, 2200, Denmark
| | - Julie C Nielsen
- Center for Healthy Aging, University of Copenhagen, Copenhagen, 2200, Denmark
| | - Susana Eibes
- Cell Division Laboratory, Danish Cancer Society Research Center, Copenhagen, 2100, Denmark
- Department of Cellular and Molecular Medicine, University of Copenhagen, Copenhagen, 2200, Denmark
| | - Emiliano Maiani
- Cell Stress and Survival Unit, Center for Autophagy, Recycling and Disease (CARD), Danish Cancer Society Research Center, Copenhagen, 2100, Denmark
- Computational Biology Laboratory, Center for Autophagy, Recycling and Disease (CARD), Danish Cancer Society Research Center, Copenhagen, 2100, Denmark
| | - Lea M Harder
- Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, 5230, Denmark
| | - Nicole Wesch
- Institute of Biophysical Chemistry and Center for Biomolecular Magnetic Resonance, Goethe University Frankfurt, 60438, Frankfurt, Germany
| | - Mads Møller Foged
- Cell Death and Metabolism Unit, Center for Autophagy, Recycling and Disease (CARD), Danish Cancer Society Research Center, Copenhagen, 2100, Denmark
| | - Kenji Maeda
- Cell Death and Metabolism Unit, Center for Autophagy, Recycling and Disease (CARD), Danish Cancer Society Research Center, Copenhagen, 2100, Denmark
| | - Francesca Nazio
- Department of Pediatric Hemato-Oncology and Cell and Gene therapy, IRCCS Bambino Gesù Children's Hospital, Rome, 00143, Italy
| | - Laura R de la Ballina
- Department of Molecular Medicine, Institute of Basic Medical Sciences and Centre for Cancer Cell Reprogramming, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, 0317, Oslo, Norway
| | - Volker Dötsch
- Institute of Biophysical Chemistry and Center for Biomolecular Magnetic Resonance, Goethe University Frankfurt, 60438, Frankfurt, Germany
| | - Andreas Brech
- Department of Molecular Cell Biology, Institute for Cancer Research, Oslo University Hospital, 0379, Oslo, Norway
- Centre for Cancer Cell Reprogramming, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, 0379, Oslo, Norway
| | - Lisa B Frankel
- Biotech Research & Innovation Centre, University of Copenhagen, Copenhagen, 2200, Denmark
- RNA and Autophagy group, Danish Cancer Society Research Center, Copenhagen, 2100, Denmark
| | - Marja Jäättelä
- Cell Death and Metabolism Unit, Center for Autophagy, Recycling and Disease (CARD), Danish Cancer Society Research Center, Copenhagen, 2100, Denmark
- Department of Cellular and Molecular Medicine, Faculty of Health Sciences, University of Copenhagen, Copenhagen, 2200, Denmark
| | - Franco Locatelli
- Department of Pediatric Hemato-Oncology and Cell and Gene therapy, IRCCS Bambino Gesù Children's Hospital, Rome, 00143, Italy
- Department of Gynecology/Obstetrics and Pediatrics, Sapienza University of Rome, Rome, 00185, Italy
| | - Marin Barisic
- Cell Division Laboratory, Danish Cancer Society Research Center, Copenhagen, 2100, Denmark
- Department of Cellular and Molecular Medicine, University of Copenhagen, Copenhagen, 2200, Denmark
| | - Jens S Andersen
- Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, 5230, Denmark
| | - Simon Bekker-Jensen
- Center for Healthy Aging, University of Copenhagen, Copenhagen, 2200, Denmark
| | - Anders H Lund
- Biotech Research & Innovation Centre, University of Copenhagen, Copenhagen, 2200, Denmark
| | - Vladimir V Rogov
- Institute of Biophysical Chemistry and Center for Biomolecular Magnetic Resonance, Goethe University Frankfurt, 60438, Frankfurt, Germany
| | - Elena Papaleo
- Computational Biology Laboratory, Center for Autophagy, Recycling and Disease (CARD), Danish Cancer Society Research Center, Copenhagen, 2100, Denmark
- Translational Disease Systems Biology, Faculty of Health and Medical Sciences, Novo Nordisk Foundation Center for Protein Research University of Copenhagen, Copenhagen, 2100, Denmark
| | - Letizia Lanzetti
- Department of Oncology, University of Torino Medical School, Turin, 10100, Italy
- Candiolo Cancer Institute, FPO - IRCCS, Candiolo, 10060, Italy
| | - Daniela De Zio
- Cell Stress and Survival Unit, Center for Autophagy, Recycling and Disease (CARD), Danish Cancer Society Research Center, Copenhagen, 2100, Denmark
| | - Francesco Cecconi
- Cell Stress and Survival Unit, Center for Autophagy, Recycling and Disease (CARD), Danish Cancer Society Research Center, Copenhagen, 2100, Denmark.
- Department of Pediatric Hemato-Oncology and Cell and Gene therapy, IRCCS Bambino Gesù Children's Hospital, Rome, 00143, Italy.
- Department of Biology, University of Tor Vergata, Rome, 00133, Italy.
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18
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Ravenscroft G, Zaharieva IT, Bortolotti CA, Lambrughi M, Pignataro M, Borsari M, Sewry CA, Phadke R, Haliloglu G, Ong R, Goullée H, Whyte T, Consortium UK, Manzur A, Talim B, Kaya U, Osborn DPS, Forrest ARR, Laing NG, Muntoni F. Bi-allelic mutations in MYL1 cause a severe congenital myopathy. Hum Mol Genet 2019; 27:4263-4272. [PMID: 30215711 DOI: 10.1093/hmg/ddy320] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2018] [Accepted: 09/07/2018] [Indexed: 01/26/2023] Open
Abstract
Congenital myopathies are typically characterised by early onset hypotonia, weakness and hallmark features on biopsy. Despite the rapid pace of gene discovery, ∼50% of patients with a congenital myopathy remain without a genetic diagnosis following screening of known disease genes. We performed exome sequencing on two consanguineous probands diagnosed with a congenital myopathy and muscle biopsy showing selective atrophy/hypotrophy or absence of type II myofibres. We identified variants in the gene (MYL1) encoding the skeletal muscle fast-twitch specific myosin essential light chain (ELC) in both probands. A homozygous essential splice acceptor variant (c.479-2A > G, predicted to result in skipping of exon 5 was identified in Proband 1, and a homozygous missense substitution (c.488T>G, p.(Met163Arg)) was identified in Proband 2. Protein modelling of the p.(Met163Arg) substitution predicted it might impede intermolecular interactions that facilitate binding to the IQ domain of myosin heavy chain, thus likely impacting on the structure and functioning of the myosin motor. MYL1 was markedly reduced in skeletal muscle from both probands, suggesting that the missense substitution likely results in an unstable protein. Knock down of myl1 in zebrafish resulted in abnormal morphology, disrupted muscle structure and impaired touch-evoked escape responses, thus confirming that skeletal muscle fast-twitch specific myosin ELC is critical for myofibre development and function. Our data implicate MYL1 as a crucial protein for adequate skeletal muscle function and that MYL1 deficiency is associated with severe congenital myopathy.
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Affiliation(s)
- Gianina Ravenscroft
- Harry Perkins Institute of Medical Research, Centre for Medical Research, University of Western Australia, Nedlands WA, Australia
| | - Irina T Zaharieva
- The Dubowitz Neuromuscular Centre, University College London Great Ormond Street Institute of Child Health & Great Ormond Street Hospital, London, UK
| | - Carlo A Bortolotti
- Department of Life Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Matteo Lambrughi
- Department of Life Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Marcello Pignataro
- Department of Chemical and Geological Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Marco Borsari
- Department of Chemical and Geological Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Caroline A Sewry
- The Dubowitz Neuromuscular Centre, University College London Great Ormond Street Institute of Child Health & Great Ormond Street Hospital, London, UK
| | - Rahul Phadke
- The Dubowitz Neuromuscular Centre, University College London Great Ormond Street Institute of Child Health & Great Ormond Street Hospital, London, UK
| | - Goknur Haliloglu
- Department of Chemical and Geological Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Royston Ong
- Harry Perkins Institute of Medical Research, Centre for Medical Research, University of Western Australia, Nedlands WA, Australia
| | - Hayley Goullée
- Harry Perkins Institute of Medical Research, Centre for Medical Research, University of Western Australia, Nedlands WA, Australia
| | - Tamieka Whyte
- The Dubowitz Neuromuscular Centre, University College London Great Ormond Street Institute of Child Health & Great Ormond Street Hospital, London, UK
| | | | - Adnan Manzur
- The Dubowitz Neuromuscular Centre, University College London Great Ormond Street Institute of Child Health & Great Ormond Street Hospital, London, UK
| | - Beril Talim
- Pediatric Pathology Unit, Hacettepe University Children's Hospital, Ankara, Turkey
| | - Ulkuhan Kaya
- Department of Pediatric Neurology, Dr. Sami Ulus Maternity and Children's Research and Training Hospital, Ministry of Health, Ankara, Turkey
| | - Daniel P S Osborn
- Cardiovascular and Cell Sciences Institute, St George's University of London, Cranmer Terrace, London SW17 0RE, UK
| | - Alistair R R Forrest
- Harry Perkins Institute of Medical Research, Centre for Medical Research, University of Western Australia, Nedlands WA, Australia
| | - Nigel G Laing
- Harry Perkins Institute of Medical Research, Centre for Medical Research, University of Western Australia, Nedlands WA, Australia
| | - Francesco Muntoni
- The Dubowitz Neuromuscular Centre, University College London Great Ormond Street Institute of Child Health & Great Ormond Street Hospital, London, UK.,NIHR Great Ormond Street Hospital Biomedical Research Centre, 30 Guilford Street, London WC1N 1EH, UK
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19
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Brix DM, Tvingsholm SA, Hansen MB, Clemmensen KB, Ohman T, Siino V, Lambrughi M, Hansen K, Puustinen P, Gromova I, James P, Papaleo E, Varjosalo M, Moreira J, Jäättelä M, Kallunki T. Release of transcriptional repression via ErbB2-induced, SUMO-directed phosphorylation of myeloid zinc finger-1 serine 27 activates lysosome redistribution and invasion. Oncogene 2019; 38:3170-3184. [PMID: 30622337 DOI: 10.1038/s41388-018-0653-x] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2018] [Revised: 11/21/2018] [Accepted: 12/11/2018] [Indexed: 01/08/2023]
Abstract
HER2/ErbB2 activation turns on transcriptional processes that induce local invasion and lead to systemic metastasis. The early transcriptional changes needed for ErbB2-induced invasion are poorly understood. Here, we link ErbB2 activation to invasion via ErbB2-induced, SUMO-directed phosphorylation of a single serine residue, S27, of the transcription factor myeloid zinc finger-1 (MZF1). Utilizing an antibody against MZF1-pS27, we show that the phosphorylation of S27 correlates significantly (p < 0.0001) with high-level expression of ErbB2 in primary invasive breast tumors. Phosphorylation of MZF1-S27 is an early response to ErbB2 activation and results in increased transcriptional activity of MZF1. It is needed for the ErbB2-induced expression of MZF1 target genes CTSB and PRKCA, and invasion of single-cells from ErbB2-expressing breast cancer spheroids. The phosphorylation of MZF1-S27 is preceded by poly-SUMOylation of K23, which can make S27 accessible to efficient phosphorylation by PAK4. Based on our results, we suggest for an activation mechanism where phosphorylation of MZF1-S27 triggers MZF1 dissociation from its transcriptional repressors such as the CCCTC-binding factor (CTCF). Our findings increase understanding of the regulation of invasive signaling in breast cancer by uncovering a detailed biological mechanism of how ErbB2 activation can rapidly lead to its invasion-promoting target gene expression and invasion.
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Affiliation(s)
- Ditte Marie Brix
- Cell Death and Metabolism, Center for Autophagy, Recycling and Disease, Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark
| | - Siri Amanda Tvingsholm
- Cell Death and Metabolism, Center for Autophagy, Recycling and Disease, Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark
| | - Malene Bredahl Hansen
- Cell Death and Metabolism, Center for Autophagy, Recycling and Disease, Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark
| | - Knut Bundgaard Clemmensen
- Cell Death and Metabolism, Center for Autophagy, Recycling and Disease, Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark
| | - Tiina Ohman
- Institute of Biotechnology, Helsinki Institute of Life Science, University of Helsinki, 00014UH, Helsinki, Finland
| | - Valentina Siino
- Institute for Immunotechnology, Medicon Village, Lund University, 223 81, Lund, Sweden
| | - Matteo Lambrughi
- Computational Biology Laboratory, Center for Autophagy, Recycling and Disease, Danish Cancer Society Research Center, 2100, Copenhagen, Denmark
| | - Klaus Hansen
- Biotech Research and Innovation Center, Copenhagen University, 2200, Copenhagen, Denmark
| | - Pietri Puustinen
- Cell Death and Metabolism, Center for Autophagy, Recycling and Disease, Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark
| | - Irina Gromova
- Breast Cancer Biology, Unit of Genome Integrity, Center for Autophagy, Recycling and Disease, Danish Cancer Society Research Center, 2100, Copenhagen, Denmark
| | - Peter James
- Turku Centre for Biotechnology, Åbo Akademi University and University of Turku, 20014, Turku, Finland
| | - Elena Papaleo
- Computational Biology Laboratory, Center for Autophagy, Recycling and Disease, Danish Cancer Society Research Center, 2100, Copenhagen, Denmark
| | - Markku Varjosalo
- Institute of Biotechnology, Helsinki Institute of Life Science, University of Helsinki, 00014UH, Helsinki, Finland
| | - José Moreira
- Department of Drug Design and Pharmacology, Faculty of Health and Medical Sciences, University of Copenhagen, 2200, Copenhagen, Denmark
| | - Marja Jäättelä
- Cell Death and Metabolism, Center for Autophagy, Recycling and Disease, Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark.
| | - Tuula Kallunki
- Cell Death and Metabolism, Center for Autophagy, Recycling and Disease, Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark. .,Department of Drug Design and Pharmacology, Faculty of Health and Medical Sciences, University of Copenhagen, 2200, Copenhagen, Denmark.
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20
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Lambrughi M, Tiberti M, Allega MF, Sora V, Nygaard M, Toth A, Salamanca Viloria J, Bignon E, Papaleo E. Analyzing Biomolecular Ensembles. Methods Mol Biol 2019; 2022:415-451. [PMID: 31396914 DOI: 10.1007/978-1-4939-9608-7_18] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Several techniques are available to generate conformational ensembles of proteins and other biomolecules either experimentally or computationally. These methods produce a large amount of data that need to be analyzed to identify structure-dynamics-function relationship. In this chapter, we will cover different tools to unveil the information hidden in conformational ensemble data and to guide toward the rationalization of the data. We included routinely used approaches such as dimensionality reduction, as well as new methods inspired by high-order statistics and graph theory.
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Affiliation(s)
- Matteo Lambrughi
- Computational Biology Laboratory, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Matteo Tiberti
- Computational Biology Laboratory, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Maria Francesca Allega
- Computational Biology Laboratory, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Valentina Sora
- Computational Biology Laboratory, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Mads Nygaard
- Computational Biology Laboratory, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Agota Toth
- Computational Biology Laboratory, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Juan Salamanca Viloria
- Computational Biology Laboratory, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Emmanuelle Bignon
- Computational Biology Laboratory, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Elena Papaleo
- Computational Biology Laboratory, Danish Cancer Society Research Center, Copenhagen, Denmark.
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21
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Di Rita A, Peschiaroli A, D Acunzo P, Strobbe D, Hu Z, Gruber J, Nygaard M, Lambrughi M, Melino G, Papaleo E, Dengjel J, El Alaoui S, Campanella M, Dötsch V, Rogov VV, Strappazzon F, Cecconi F. HUWE1 E3 ligase promotes PINK1/PARKIN-independent mitophagy by regulating AMBRA1 activation via IKKα. Nat Commun 2018; 9:3755. [PMID: 30217973 PMCID: PMC6138665 DOI: 10.1038/s41467-018-05722-3] [Citation(s) in RCA: 171] [Impact Index Per Article: 28.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2017] [Accepted: 06/27/2018] [Indexed: 01/18/2023] Open
Abstract
The selective removal of undesired or damaged mitochondria by autophagy, known as mitophagy, is crucial for cellular homoeostasis, and prevents tumour diffusion, neurodegeneration and ageing. The pro-autophagic molecule AMBRA1 (autophagy/beclin-1 regulator-1) has been defined as a novel regulator of mitophagy in both PINK1/PARKIN-dependent and -independent systems. Here, we identified the E3 ubiquitin ligase HUWE1 as a key inducing factor in AMBRA1-mediated mitophagy, a process that takes place independently of the main mitophagy receptors. Furthermore, we show that mitophagy function of AMBRA1 is post-translationally controlled, upon HUWE1 activity, by a positive phosphorylation on its serine 1014. This modification is mediated by the IKKα kinase and induces structural changes in AMBRA1, thus promoting its interaction with LC3/GABARAP (mATG8) proteins and its mitophagic activity. Altogether, these results demonstrate that AMBRA1 regulates mitophagy through a novel pathway, in which HUWE1 and IKKα are key factors, shedding new lights on the regulation of mitochondrial quality control and homoeostasis in mammalian cells. Mitophagy is crucial for mitochondrial quality control and maintenance of cellular homeostasis. Here the authors identify an E3 ubiquitin ligase, HUWE1, that collaborates with LC3-interacting protein AMBRA1 to induce mitochondrial clearance.
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Affiliation(s)
- Anthea Di Rita
- Department of Biology, University of Rome Tor Vergata, 00133, Rome, Italy.,Department of Paediatric Haematology, Oncology and Cell and Gene Therapy, IRCCS Bambino Gesù Children's Hospital, Rome, Italy.,IRCCS FONDAZIONE SANTA LUCIA, 00143, Rome, Italy
| | - Angelo Peschiaroli
- National Research Council of Italy (CNR), Institute of Translational Pharmacology IFT, Via Fosso del Cavaliere 100, 00133, Rome, Italy
| | - Pasquale D Acunzo
- Department of Paediatric Haematology, Oncology and Cell and Gene Therapy, IRCCS Bambino Gesù Children's Hospital, Rome, Italy
| | - Daniela Strobbe
- Department of Biology, University of Rome Tor Vergata, 00133, Rome, Italy.,IRCCS- Regina Elena, National Cancer Institute, 00133, Rome, Italy
| | - Zehan Hu
- Department of Biology, University of Fribourg, Fribourg, Switzerland
| | - Jens Gruber
- Institute of Biophysical and Center for Biomolecular Magnetic Resonance, Goethe University, Frankfurt, Germany
| | - Mads Nygaard
- Computational Biology Laboratory, Danish Cancer Society Research Center, 2100 Copenhagen, Denmark
| | - Matteo Lambrughi
- Computational Biology Laboratory, Danish Cancer Society Research Center, 2100 Copenhagen, Denmark
| | - Gerry Melino
- Department of Experimental Medicine and Surgery, University of Rome Tor Vergata, 00133, Rome, Italy
| | - Elena Papaleo
- Computational Biology Laboratory, Danish Cancer Society Research Center, 2100 Copenhagen, Denmark
| | - Jörn Dengjel
- Department of Biology, University of Fribourg, Fribourg, Switzerland
| | | | - Michelangelo Campanella
- IRCCS- Regina Elena, National Cancer Institute, 00133, Rome, Italy.,Department of Comparative Biomedical Sciences, Royal Veterinary College, London, NW1 0TU, UK.,University College London Consortium for Mitochondrial Research, University College London, London, WC1 6BT, UK
| | - Volker Dötsch
- Institute of Biophysical and Center for Biomolecular Magnetic Resonance, Goethe University, Frankfurt, Germany
| | - Vladimir V Rogov
- Institute of Biophysical and Center for Biomolecular Magnetic Resonance, Goethe University, Frankfurt, Germany
| | - Flavie Strappazzon
- Department of Biology, University of Rome Tor Vergata, 00133, Rome, Italy. .,IRCCS FONDAZIONE SANTA LUCIA, 00143, Rome, Italy.
| | - Francesco Cecconi
- Department of Biology, University of Rome Tor Vergata, 00133, Rome, Italy. .,Department of Paediatric Haematology, Oncology and Cell and Gene Therapy, IRCCS Bambino Gesù Children's Hospital, Rome, Italy. .,Unit of Cell Stress and Survival, Danish Cancer Society Research Center, 2100, Copenhagen, Denmark.
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22
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Masgras I, Ciscato F, Brunati AM, Tibaldi E, Indraccolo S, Curtarello M, Chiara F, Cannino G, Papaleo E, Lambrughi M, Guzzo G, Gambalunga A, Pizzi M, Guzzardo V, Rugge M, Vuljan SE, Calabrese F, Bernardi P, Rasola A. Absence of Neurofibromin Induces an Oncogenic Metabolic Switch via Mitochondrial ERK-Mediated Phosphorylation of the Chaperone TRAP1. Cell Rep 2017; 18:659-672. [PMID: 28099845 DOI: 10.1016/j.celrep.2016.12.056] [Citation(s) in RCA: 68] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2016] [Revised: 11/04/2016] [Accepted: 12/18/2016] [Indexed: 01/21/2023] Open
Abstract
Mutations in neurofibromin, a Ras GTPase-activating protein, lead to the tumor predisposition syndrome neurofibromatosis type 1. Here, we report that cells lacking neurofibromin exhibit enhanced glycolysis and decreased respiration in a Ras/ERK-dependent way. In the mitochondrial matrix of neurofibromin-deficient cells, a fraction of active ERK1/2 associates with succinate dehydrogenase (SDH) and TRAP1, a chaperone that promotes the accumulation of the oncometabolite succinate by inhibiting SDH. ERK1/2 enhances both formation of this multimeric complex and SDH inhibition. ERK1/2 kinase activity is favored by the interaction with TRAP1, and TRAP1 is, in turn, phosphorylated in an ERK1/2-dependent way. TRAP1 silencing or mutagenesis at the serine residues targeted by ERK1/2 abrogates tumorigenicity, a phenotype that is reverted by addition of a cell-permeable succinate analog. Our findings reveal that Ras/ERK signaling controls the metabolic changes orchestrated by TRAP1 that have a key role in tumor growth and are a promising target for anti-neoplastic strategies.
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Affiliation(s)
- Ionica Masgras
- CNR Institute of Neuroscience and Department of Biomedical Sciences, University of Padova, 35131 Padova, Italy
| | - Francesco Ciscato
- CNR Institute of Neuroscience and Department of Biomedical Sciences, University of Padova, 35131 Padova, Italy
| | - Anna Maria Brunati
- Department of Molecular Medicine, University of Padova, 35131 Padova, Italy
| | - Elena Tibaldi
- Department of Molecular Medicine, University of Padova, 35131 Padova, Italy
| | | | | | - Federica Chiara
- Department of Cardiac, Thoracic, and Vascular Sciences, University of Padova, 35128 Padova, Italy
| | - Giuseppe Cannino
- CNR Institute of Neuroscience and Department of Biomedical Sciences, University of Padova, 35131 Padova, Italy
| | - Elena Papaleo
- Computational Biology Laboratory, Unit of Statistics, Bioinformatics and Registry, Danish Cancer Society Research Center, 2100 Copenhagen, Denmark
| | - Matteo Lambrughi
- Computational Biology Laboratory, Unit of Statistics, Bioinformatics and Registry, Danish Cancer Society Research Center, 2100 Copenhagen, Denmark
| | - Giulia Guzzo
- CNR Institute of Neuroscience and Department of Biomedical Sciences, University of Padova, 35131 Padova, Italy
| | - Alberto Gambalunga
- Department of Cardiac, Thoracic, and Vascular Sciences, University of Padova, 35128 Padova, Italy
| | - Marco Pizzi
- Department of Medicine, University of Padova, 35128 Padova, Italy
| | | | - Massimo Rugge
- Department of Medicine, University of Padova, 35128 Padova, Italy
| | - Stefania Edith Vuljan
- Department of Cardiac, Thoracic, and Vascular Sciences, University of Padova, 35128 Padova, Italy
| | - Fiorella Calabrese
- Department of Cardiac, Thoracic, and Vascular Sciences, University of Padova, 35128 Padova, Italy
| | - Paolo Bernardi
- CNR Institute of Neuroscience and Department of Biomedical Sciences, University of Padova, 35131 Padova, Italy
| | - Andrea Rasola
- CNR Institute of Neuroscience and Department of Biomedical Sciences, University of Padova, 35131 Padova, Italy.
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23
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Bertini L, Breglia R, Lambrughi M, Fantucci P, De Gioia L, Borsari M, Sola M, Bortolotti CA, Bruschi M. Catalytic Mechanism of Fungal Lytic Polysaccharide Monooxygenases Investigated by First-Principles Calculations. Inorg Chem 2017; 57:86-97. [PMID: 29232119 DOI: 10.1021/acs.inorgchem.7b02005] [Citation(s) in RCA: 62] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
Lytic polysaccharide monooxygenases (LPMOs) are Cu-containing enzymes that facilitate the degradation of recalcitrant polysaccharides by the oxidative cleavage of glycosidic bonds. They are gaining rapidly increasing attention as key players in biomass conversion, especially for the production of second-generation biofuels. Elucidation of the detailed mechanism of the LPMO reaction is a major step toward the assessment and optimization of LPMO efficacy in industrial biotechnology, paving the way to utilization of sustainable fuel sources. Here, we used density functional theory calculations to study the reaction pathways suggested to date, exploiting a very large active-site model for a fungal AA9 LPMO and using a celloheptaose unit as a substrate mimic. We identify a copper oxyl intermediate as being responsible for H-atom abstraction from the substrate, followed by a rapid, water-assisted hydroxyl rebound, leading to substrate hydroxylation.
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Affiliation(s)
- Luca Bertini
- Department of Biotechnology and Biosciences, University of Milan-Bicocca , Piazza della Scienza 2, 20126 Milan, Italy
| | - Raffaella Breglia
- Department of Earth and Environmental Sciences, University of Milan-Bicocca , Piazza della Scienza 1, 20126 Milan, Italy
| | | | - Piercarlo Fantucci
- Department of Biotechnology and Biosciences, University of Milan-Bicocca , Piazza della Scienza 2, 20126 Milan, Italy
| | - Luca De Gioia
- Department of Biotechnology and Biosciences, University of Milan-Bicocca , Piazza della Scienza 2, 20126 Milan, Italy
| | | | | | | | - Maurizio Bruschi
- Department of Earth and Environmental Sciences, University of Milan-Bicocca , Piazza della Scienza 1, 20126 Milan, Italy
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24
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Salamanca Viloria J, Allega MF, Lambrughi M, Papaleo E. An optimal distance cutoff for contact-based Protein Structure Networks using side-chain centers of mass. Sci Rep 2017; 7:2838. [PMID: 28588190 PMCID: PMC5460117 DOI: 10.1038/s41598-017-01498-6] [Citation(s) in RCA: 52] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2017] [Accepted: 03/28/2017] [Indexed: 02/05/2023] Open
Abstract
Proteins are highly dynamic entities attaining a myriad of different conformations. Protein side chains change their states during dynamics, causing clashes that are propagated at distal sites. A convenient formalism to analyze protein dynamics is based on network theory using Protein Structure Networks (PSNs). Despite their broad applicability, few efforts have been devoted to benchmarking PSN methods and to provide the community with best practices. In many applications, it is convenient to use the centers of mass of the side chains as nodes. It becomes thus critical to evaluate the minimal distance cutoff between the centers of mass which will provide stable network properties. Moreover, when the PSN is derived from a structural ensemble collected by molecular dynamics (MD), the impact of the MD force field has to be evaluated. We selected a dataset of proteins with different fold and size and assessed the two fundamental properties of the PSN, i.e. hubs and connected components. We identified an optimal cutoff of 5 Å that is robust to changes in the force field and the proteins. Our study builds solid foundations for the harmonization and standardization of the PSN approach.
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Affiliation(s)
- Juan Salamanca Viloria
- Computational Biology Laboratory, Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark
| | - Maria Francesca Allega
- Computational Biology Laboratory, Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark
| | - Matteo Lambrughi
- Computational Biology Laboratory, Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark
| | - Elena Papaleo
- Computational Biology Laboratory, Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark.
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25
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Hendus-Altenburger R, Lambrughi M, Terkelsen T, Pedersen SF, Papaleo E, Lindorff-Larsen K, Kragelund BB. A phosphorylation-motif for tuneable helix stabilisation in intrinsically disordered proteins - Lessons from the sodium proton exchanger 1 (NHE1). Cell Signal 2017; 37:40-51. [PMID: 28554535 DOI: 10.1016/j.cellsig.2017.05.015] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2017] [Revised: 05/24/2017] [Accepted: 05/25/2017] [Indexed: 11/26/2022]
Abstract
Intrinsically disordered proteins (IDPs) are involved in many pivotal cellular processes including phosphorylation and signalling. The structural and functional effects of phosphorylation of IDPs remain poorly understood and difficult to predict. Thus, a need exists to identify motifs that confer phosphorylation-dependent perturbation of the local preferences for forming e.g. helical structures as well as motifs that do not. The disordered distal tail of the Na+/H+ exchanger 1 (NHE1) is six-times phosphorylated (S693, S723, S726, S771, T779, S785) by the mitogen activated protein kinase 2 (MAPK1, ERK2). Using NMR spectroscopy, we found that two out of those six phosphorylation sites had a stabilizing effect on transient helices. One of these was further investigated by circular dichroism and NMR spectroscopy as well as by molecular dynamic simulations, which confirmed the stabilizing effect and resulted in the identification of a short linear motif for helix stabilisation: [S/T]-P-{3}-[R/K] where [S/T] is the phosphorylation-site. By analysing IDP and phosphorylation site databases we found that the motif is significantly enriched around known phosphorylation sites, supporting a potential wider-spread role in phosphorylation-mediated regulation of intrinsically disordered proteins. The identification of such motifs is important for understanding the molecular mechanism of cellular signalling, and is crucial for the development of predictors for the structural effect of phosphorylation; a tool of relevance for understanding disease-promoting mutations that for example interfere with signalling for instance through constitutive active and often cancer-promoting signalling.
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Affiliation(s)
- Ruth Hendus-Altenburger
- Structural Biology and NMR Laboratory, Linderstrøm-Lang Centre for Protein Science, Department of Biology, University of Copenhagen, Ole Maaløes Vej 5, DK-2200 Copenhagen N, Denmark.
| | - Matteo Lambrughi
- Computational Biology Laboratory, Center for Autophagy, Recycling and Disease, Strandboulevarden 49, 2100 Copenhagen, Denmark.
| | - Thilde Terkelsen
- Computational Biology Laboratory, Center for Autophagy, Recycling and Disease, Strandboulevarden 49, 2100 Copenhagen, Denmark.
| | - Stine F Pedersen
- Cell Biology and Physiology, Department of Biology, University of Copenhagen, Universitetsparken 13, DK-2100 Copenhagen Ø, Denmark.
| | - Elena Papaleo
- Computational Biology Laboratory, Center for Autophagy, Recycling and Disease, Strandboulevarden 49, 2100 Copenhagen, Denmark.
| | - Kresten Lindorff-Larsen
- Structural Biology and NMR Laboratory, Linderstrøm-Lang Centre for Protein Science, Department of Biology, University of Copenhagen, Ole Maaløes Vej 5, DK-2200 Copenhagen N, Denmark.
| | - Birthe B Kragelund
- Structural Biology and NMR Laboratory, Linderstrøm-Lang Centre for Protein Science, Department of Biology, University of Copenhagen, Ole Maaløes Vej 5, DK-2200 Copenhagen N, Denmark.
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26
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Manak M, Zemek M, Szkandera J, Kolingerova I, Papaleo E, Lambrughi M. Hybrid Voronoi diagrams, their computation and reduction for applications in computational biochemistry. J Mol Graph Model 2017; 74:225-233. [PMID: 28458001 DOI: 10.1016/j.jmgm.2017.03.018] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2016] [Revised: 03/24/2017] [Accepted: 03/27/2017] [Indexed: 12/25/2022]
Abstract
Geometric models of molecular structures are often described as a set of balls, where balls represent individual atoms. The ability to describe and explore the empty space among these balls is important, e.g., in the analysis of the interaction of enzymes with substrates, ligands and solvent molecules. Voronoi diagrams from the field of computational geometry are often used here, because they provide a mathematical description of how the whole space can be divided into regions assigned to individual atoms. This paper introduces a combination of two different types of Voronoi diagrams into a new hybrid Voronoi diagram - one part of this diagram belongs to the additively weighted (aw-Voronoi) diagram and the other to the power diagram. The boundary between them is controlled by a user-defined constant (the probe radius). Both parts are computed by different algorithms, which are already known. The reduced aw-Voronoi diagram is then obtained by removing the power diagram part from the hybrid diagram. Reduced aw-Voronoi diagrams are perfectly tailored for the analysis of dynamic molecular structures, their computation is faster and storage requirements are lower than in the case of complete aw-Voronoi diagrams. Here, we showed their application to key proteins in cancer research such as p53 and ARID proteins as case study. We identified a biologically relevant cavity in p53 structural ensembles generated by molecular dynamics simulations and analyzed its accessibility, attesting the potential of our approach. This method is relevant for cancer research since it permits to depict a dynamical view of cavities and pockets in proteins that could be affected by mutations in the disease. Our approach opens novel prospects for the study of cancer-related proteins by molecular simulations and the identification of novel targets for drug design.
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Affiliation(s)
- Martin Manak
- New Technologies for the Information Society (NTIS), University of West Bohemia, Pilsen, Czech Republic.
| | - Michal Zemek
- Department of Computer Science and Engineering, Faculty of Applied Sciences, University of West Bohemia, Pilsen, Czech Republic
| | - Jakub Szkandera
- Department of Computer Science and Engineering, Faculty of Applied Sciences, University of West Bohemia, Pilsen, Czech Republic.
| | - Ivana Kolingerova
- Department of Computer Science and Engineering, Faculty of Applied Sciences, University of West Bohemia, Pilsen, Czech Republic.
| | - Elena Papaleo
- Computational Biology Laboratory (CBL), Danish Cancer Society Research Center (DCRC), Copenhagen, Denmark.
| | - Matteo Lambrughi
- Computational Biology Laboratory (CBL), Danish Cancer Society Research Center (DCRC), Copenhagen, Denmark.
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27
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Nygaard M, Terkelsen T, Vidas Olsen A, Sora V, Salamanca Viloria J, Rizza F, Bergstrand-Poulsen S, Di Marco M, Vistesen M, Tiberti M, Lambrughi M, Jäättelä M, Kallunki T, Papaleo E. The Mutational Landscape of the Oncogenic MZF1 SCAN Domain in Cancer. Front Mol Biosci 2016; 3:78. [PMID: 28018905 PMCID: PMC5156680 DOI: 10.3389/fmolb.2016.00078] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2016] [Accepted: 11/17/2016] [Indexed: 11/24/2022] Open
Abstract
SCAN domains in zinc-finger transcription factors are crucial mediators of protein-protein interactions. Up to 240 SCAN-domain encoding genes have been identified throughout the human genome. These include cancer-related genes, such as the myeloid zinc finger 1 (MZF1), an oncogenic transcription factor involved in the progression of many solid cancers. The mechanisms by which SCAN homo- and heterodimers assemble and how they alter the transcriptional activity of zinc-finger transcription factors in cancer and other diseases remain to be investigated. Here, we provide the first description of the conformational ensemble of the MZF1 SCAN domain cross-validated against NMR experimental data, which are probes of structure and dynamics on different timescales. We investigated the protein-protein interaction network of MZF1 and how it is perturbed in different cancer types by the analyses of high-throughput proteomics and RNASeq data. Collectively, we integrated many computational approaches, ranging from simple empirical energy functions to all-atom microsecond molecular dynamics simulations and network analyses to unravel the effects of cancer-related substitutions in relation to MZF1 structure and interactions.
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Affiliation(s)
- Mads Nygaard
- Computational Biology Laboratory and Center for Autophagy, Recycling and Disease, Danish Cancer Society Research Center Copenhagen, Denmark
| | - Thilde Terkelsen
- Computational Biology Laboratory and Center for Autophagy, Recycling and Disease, Danish Cancer Society Research Center Copenhagen, Denmark
| | - André Vidas Olsen
- Computational Biology Laboratory and Center for Autophagy, Recycling and Disease, Danish Cancer Society Research Center Copenhagen, Denmark
| | - Valentina Sora
- Computational Biology Laboratory and Center for Autophagy, Recycling and Disease, Danish Cancer Society Research Center Copenhagen, Denmark
| | - Juan Salamanca Viloria
- Computational Biology Laboratory and Center for Autophagy, Recycling and Disease, Danish Cancer Society Research Center Copenhagen, Denmark
| | - Fabio Rizza
- Department of Biomedical Sciences, University of Padua Padua, Italy
| | - Sanne Bergstrand-Poulsen
- Computational Biology Laboratory and Center for Autophagy, Recycling and Disease, Danish Cancer Society Research Center Copenhagen, Denmark
| | - Miriam Di Marco
- Computational Biology Laboratory and Center for Autophagy, Recycling and Disease, Danish Cancer Society Research Center Copenhagen, Denmark
| | - Mette Vistesen
- Cell Stress and Survival Unit and Center for Autophagy, Recycling and Disease, Danish Cancer Society Research Center Copenhagen, Denmark
| | - Matteo Tiberti
- Department of Chemistry and Biochemistry, School of Biological and Chemical Sciences, Queen Mary University of London London, UK
| | - Matteo Lambrughi
- Computational Biology Laboratory and Center for Autophagy, Recycling and Disease, Danish Cancer Society Research Center Copenhagen, Denmark
| | - Marja Jäättelä
- Unit of Cell Death and Metabolism and Center for Autophagy, Recycling and Disease, Danish Cancer Society Research Center Copenhagen, Denmark
| | - Tuula Kallunki
- Unit of Cell Death and Metabolism and Center for Autophagy, Recycling and Disease, Danish Cancer Society Research Center Copenhagen, Denmark
| | - Elena Papaleo
- Computational Biology Laboratory and Center for Autophagy, Recycling and Disease, Danish Cancer Society Research Center Copenhagen, Denmark
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Lambrughi M, De Gioia L, Gervasio FL, Lindorff-Larsen K, Nussinov R, Urani C, Bruschi M, Papaleo E. DNA-binding protects p53 from interactions with cofactors involved in transcription-independent functions. Nucleic Acids Res 2016; 44:9096-9109. [PMID: 27604871 PMCID: PMC5100575 DOI: 10.1093/nar/gkw770] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2015] [Accepted: 08/23/2016] [Indexed: 12/15/2022] Open
Abstract
Binding-induced conformational changes of a protein at regions distant from the binding site may play crucial roles in protein function and regulation. The p53 tumour suppressor is an example of such an allosterically regulated protein. Little is known, however, about how DNA binding can affect distal sites for transcription factors. Furthermore, the molecular details of how a local perturbation is transmitted through a protein structure are generally elusive and occur on timescales hard to explore by simulations. Thus, we employed state-of-the-art enhanced sampling atomistic simulations to unveil DNA-induced effects on p53 structure and dynamics that modulate the recruitment of cofactors and the impact of phosphorylation at Ser215. We show that DNA interaction promotes a conformational change in a region 3 nm away from the DNA binding site. Specifically, binding to DNA increases the population of an occluded minor state at this distal site by more than 4-fold, whereas phosphorylation traps the protein in its major state. In the minor conformation, the interface of p53 that binds biological partners related to p53 transcription-independent functions is not accessible. Significantly, our study reveals a mechanism of DNA-mediated protection of p53 from interactions with partners involved in the p53 transcription-independent signalling. This also suggests that conformational dynamics is tightly related to p53 signalling.
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Affiliation(s)
- Matteo Lambrughi
- Computational Biology Laboratory, Unit of Statistics, Bioinformatics and Registry, Strandboulevarden 49, 2100, Copenhagen, Denmark.,Structural Biology and NMR Laboratory, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Luca De Gioia
- Department of Biotechnology and Biosciences, University of Milano-Bicocca, Piazza della Scienza 2, 20126, Milan, Italy
| | - Francesco Luigi Gervasio
- Department of Chemistry and Institute of Structural and Molecular Biology, University College London, London WC1H 0AJ, UK
| | - Kresten Lindorff-Larsen
- Structural Biology and NMR Laboratory, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Ruth Nussinov
- Cancer and Inflammation Program, Leidos Biomedical Research Inc., Frederick National laboratory, National Cancer Institute, Frederick, MD 21702, USA.,Department of Human Molecular Genetics and Biochemistry, Sackler School of Medicine, Tel Aviv University, Tel Aviv 69978, Israel
| | - Chiara Urani
- Department of Earth and Environmental Sciences, University of Milano-Bicocca, Piazza della Scienza 1, 20126, Milan, Italy
| | - Maurizio Bruschi
- Department of Earth and Environmental Sciences, University of Milano-Bicocca, Piazza della Scienza 1, 20126, Milan, Italy
| | - Elena Papaleo
- Computational Biology Laboratory, Unit of Statistics, Bioinformatics and Registry, Strandboulevarden 49, 2100, Copenhagen, Denmark .,Structural Biology and NMR Laboratory, Department of Biology, University of Copenhagen, Copenhagen, Denmark
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29
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Papaleo E, Saladino G, Lambrughi M, Lindorff-Larsen K, Gervasio FL, Nussinov R. The Role of Protein Loops and Linkers in Conformational Dynamics and Allostery. Chem Rev 2016; 116:6391-423. [DOI: 10.1021/acs.chemrev.5b00623] [Citation(s) in RCA: 239] [Impact Index Per Article: 29.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Affiliation(s)
- Elena Papaleo
- Computational
Biology Laboratory, Unit of Statistics, Bioinformatics and Registry, Danish Cancer Society Research Center, Strandboulevarden 49, 2100 Copenhagen, Denmark
- Structural
Biology and NMR Laboratory, Department of Biology, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Giorgio Saladino
- Department
of Chemistry, University College London, London WC1E 6BT, United Kingdom
| | - Matteo Lambrughi
- Department
of Biotechnology and Biosciences, University of Milano-Bicocca, Piazza
della Scienza 2, 20126 Milan, Italy
| | - Kresten Lindorff-Larsen
- Structural
Biology and NMR Laboratory, Department of Biology, University of Copenhagen, 2200 Copenhagen, Denmark
| | | | - Ruth Nussinov
- Cancer
and Inflammation Program, Leidos Biomedical Research, Inc., Frederick
National Laboratory for Cancer Research, National Cancer Institute Frederick, Frederick, Maryland 21702, United States
- Sackler Institute
of Molecular Medicine, Department of Human Genetics and Molecular
Medicine Sackler School of Medicine, Tel Aviv University, Tel Aviv 69978, Israel
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30
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Lambrughi M, Lucchini M, Pignataro M, Sola M, Bortolotti CA. The dynamics of the β-propeller domain in Kelch protein KLHL40 changes upon nemaline myopathy-associated mutation. RSC Adv 2016. [DOI: 10.1039/c6ra06312h] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
The nemaline myopathy-associated E528K mutation in the KLHL40 alters the communication between the Kelch propeller blades.
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Affiliation(s)
- Matteo Lambrughi
- Department of Life Sciences
- University of Modena and Reggio Emilia
- Modena
- Italy
| | - Matteo Lucchini
- Department of Life Sciences
- University of Modena and Reggio Emilia
- Modena
- Italy
| | - Marcello Pignataro
- Department of Chemical and Geological Sciences
- University of Modena and Reggio Emilia
- Modena
- Italy
| | - Marco Sola
- Department of Life Sciences
- University of Modena and Reggio Emilia
- Modena
- Italy
| | - Carlo Augusto Bortolotti
- Department of Life Sciences
- University of Modena and Reggio Emilia
- Modena
- Italy
- CNR-Nano Institute of Nanoscience
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31
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Valimberti I, Tiberti M, Lambrughi M, Sarcevic B, Papaleo E. E2 superfamily of ubiquitin-conjugating enzymes: constitutively active or activated through phosphorylation in the catalytic cleft. Sci Rep 2015; 5:14849. [PMID: 26463729 PMCID: PMC4604453 DOI: 10.1038/srep14849] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2015] [Accepted: 08/19/2015] [Indexed: 12/22/2022] Open
Abstract
Protein phosphorylation is a modification that offers a dynamic and reversible mechanism to regulate the majority of cellular processes. Numerous diseases are associated with aberrant regulation of phosphorylation-induced switches. Phosphorylation is emerging as a mechanism to modulate ubiquitination by regulating key enzymes in this pathway. The molecular mechanisms underpinning how phosphorylation regulates ubiquitinating enzymes, however, are elusive. Here, we show the high conservation of a functional site in E2 ubiquitin-conjugating enzymes. In catalytically active E2s, this site contains aspartate or a phosphorylatable serine and we refer to it as the conserved E2 serine/aspartate (CES/D) site. Molecular simulations of substrate-bound and -unbound forms of wild type, mutant and phosphorylated E2s, provide atomistic insight into the role of the CES/D residue for optimal E2 activity. Both the size and charge of the side group at the site play a central role in aligning the substrate lysine toward E2 catalytic cysteine to control ubiquitination efficiency. The CES/D site contributes to the fingerprint of the E2 superfamily. We propose that E2 enzymes can be divided into constitutively active or regulated families. E2s characterized by an aspartate at the CES/D site signify constitutively active E2s, whereas those containing a serine can be regulated by phosphorylation.
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Affiliation(s)
- Ilaria Valimberti
- Department of Biotechnology and Biosciences, University of Milano-Bicocca, Piazza della Scienza 2, 20126, Milan (Italy)
| | - Matteo Tiberti
- Department of Biotechnology and Biosciences, University of Milano-Bicocca, Piazza della Scienza 2, 20126, Milan (Italy)
| | - Matteo Lambrughi
- Department of Biotechnology and Biosciences, University of Milano-Bicocca, Piazza della Scienza 2, 20126, Milan (Italy)
| | - Boris Sarcevic
- Cell Cycle and Cancer Unit, St. Vincent's Institute of Medical Research and The Department of Medicine, St. Vincent's Hospital, The University of Melbourne, Fitzroy, Melbourne, Victoria 3065, Australia
| | - Elena Papaleo
- Department of Biotechnology and Biosciences, University of Milano-Bicocca, Piazza della Scienza 2, 20126, Milan (Italy)
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Tiberti M, Invernizzi G, Lambrughi M, Inbar Y, Schreiber G, Papaleo E. PyInteraph: a framework for the analysis of interaction networks in structural ensembles of proteins. J Chem Inf Model 2014; 54:1537-51. [PMID: 24702124 DOI: 10.1021/ci400639r] [Citation(s) in RCA: 82] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
In the last years, a growing interest has been gathering around the ability of Molecular Dynamics (MD) to provide insight into the paths of long-range structural communication in biomolecules. The knowledge of the mechanisms related to structural communication helps in the rationalization in atomistic details of the effects induced by mutations, ligand binding, and the intrinsic dynamics of proteins. We here present PyInteraph, a tool for the analysis of structural ensembles inspired by graph theory. PyInteraph is a software suite designed to analyze MD and structural ensembles with attention to binary interactions between residues, such as hydrogen bonds, salt bridges, and hydrophobic interactions. PyInteraph also allows the different classes of intra- and intermolecular interactions to be represented, combined or alone, in the form of interaction graphs, along with performing network analysis on the resulting interaction graphs. The program also integrates the network description with a knowledge-based force field to estimate the interaction energies between side chains in the protein. It can be used alone or together with the recently developed xPyder PyMOL plugin through an xPyder-compatible format. The software capabilities and associated protocols are here illustrated by biologically relevant cases of study. The program is available free of charge as Open Source software via the GPL v3 license at http://linux.btbs.unimib.it/pyinteraph/.
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Affiliation(s)
- Matteo Tiberti
- Department of Biotechnology and Biosciences, University of Milano-Bicocca , Piazza della Scienza 2, 20126 Milan, Italy
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Hasan MM, Brocca S, Sacco E, Spinelli M, Papaleo E, Lambrughi M, Alberghina L, Vanoni M. A comparative study of Whi5 and retinoblastoma proteins: from sequence and structure analysis to intracellular networks. Front Physiol 2014; 4:315. [PMID: 24478706 PMCID: PMC3897220 DOI: 10.3389/fphys.2013.00315] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2013] [Accepted: 10/13/2013] [Indexed: 11/18/2022] Open
Abstract
Cell growth and proliferation require a complex series of tight-regulated and well-orchestrated events. Accordingly, proteins governing such events are evolutionary conserved, even among distant organisms. By contrast, it is more singular the case of “core functions” exerted by functional analogous proteins that are not homologous and do not share any kind of structural similarity. This is the case of proteins regulating the G1/S transition in higher eukaryotes–i.e., the retinoblastoma (Rb) tumor suppressor Rb—and budding yeast, i.e., Whi5. The interaction landscape of Rb and Whi5 is quite large, with more than one hundred proteins interacting either genetically or physically with each protein. The Whi5 interactome has been used to construct a concept map of Whi5 function and regulation. Comparison of physical and genetic interactors of Rb and Whi5 allows highlighting a significant core of conserved, common functionalities associated with the interactors indicating that structure and function of the network—rather than individual proteins—are conserved during evolution. A combined bioinformatics and biochemical approach has shown that the whole Whi5 protein is highly disordered, except for a small region containing the protein family signature. The comparison with Whi5 homologs from Saccharomycetales has prompted the hypothesis of a modular organization of structural disorder, with most evolutionary conserved regions alternating with highly variable ones. The finding of a consensus sequence points to the conservation of a specific phosphorylation rhythm along with two disordered sequence motifs, probably acting as phosphorylation-dependent seeds in Whi5 folding/unfolding. Thus, the widely disordered Whi5 appears to act as a hierarchical, “date hub” that has evolutionary assayed an original way of modular organization before being supplanted by the globular, multi-domain structured Rb, more suitable to cover the role of a “party hub”.
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Affiliation(s)
- Md Mehedi Hasan
- SYSBIO Centre for Systems Biology Milano, Italy ; Department of Biotechnology and Biosciences, University of Milano-Bicocca Milano, Italy
| | - Stefania Brocca
- SYSBIO Centre for Systems Biology Milano, Italy ; Department of Biotechnology and Biosciences, University of Milano-Bicocca Milano, Italy
| | - Elena Sacco
- SYSBIO Centre for Systems Biology Milano, Italy ; Department of Biotechnology and Biosciences, University of Milano-Bicocca Milano, Italy
| | - Michela Spinelli
- SYSBIO Centre for Systems Biology Milano, Italy ; Department of Biotechnology and Biosciences, University of Milano-Bicocca Milano, Italy
| | - Elena Papaleo
- Department of Biotechnology and Biosciences, University of Milano-Bicocca Milano, Italy
| | - Matteo Lambrughi
- Department of Biotechnology and Biosciences, University of Milano-Bicocca Milano, Italy
| | - Lilia Alberghina
- SYSBIO Centre for Systems Biology Milano, Italy ; Department of Biotechnology and Biosciences, University of Milano-Bicocca Milano, Italy
| | - Marco Vanoni
- SYSBIO Centre for Systems Biology Milano, Italy ; Department of Biotechnology and Biosciences, University of Milano-Bicocca Milano, Italy
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Lambrughi M, Papaleo E, Testa L, Brocca S, De Gioia L, Grandori R. Intramolecular interactions stabilizing compact conformations of the intrinsically disordered kinase-inhibitor domain of Sic1: a molecular dynamics investigation. Front Physiol 2012. [PMID: 23189058 PMCID: PMC3504315 DOI: 10.3389/fphys.2012.00435] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Cyclin-dependent kinase inhibitors (CKIs) are key regulatory proteins of the eukaryotic cell cycle, which modulate cyclin-dependent kinase (Cdk) activity. CKIs perform their inhibitory effect by the formation of ternary complexes with a target kinase and its cognate cyclin. These regulators generally belong to the class of intrinsically disordered proteins (IDPs), which lack a well-defined and organized three-dimensional (3D) structure in their free state, undergoing folding upon binding to specific partners. Unbound IDPs are not merely random-coil structures, but can present intrinsically folded structural units (IFSUs) and collapsed conformations. These structural features can be relevant to protein function in vivo. The yeast CKI Sic1 is a 284-amino acid IDP that binds to Cdk1 in complex with the Clb5,6 cyclins, preventing phosphorylation of G1 substrates and, therefore, entrance to the S phase. Sic1 degradation, triggered by multiple phosphorylation events, promotes cell-cycle progression. Previous experimental studies pointed out a propensity of Sic1 and its isolated domains to populate both extended and compact conformations. The present contribution provides models for compact conformations of the Sic1 kinase-inhibitory domain (KID) by all-atom molecular dynamics (MD) simulations in explicit solvent and in the absence of interactors. The results are integrated by spectroscopic and spectrometric data. Helical IFSUs are identified, along with networks of intramolecular interactions. The results identify a group of putative hub residues and networks of electrostatic interactions, which are likely to be involved in the stabilization of the globular states.
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Affiliation(s)
- Matteo Lambrughi
- Department of Biotechnology and Biosciences, University of Milano-Bicocca Milan, Italy
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