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Li W, Shi H, He J. Elevated SH3 and Multiple Ankyrin Repeat Domains 2 Expression Correlates With Improved Glioma Prognosis. Int J Genomics 2024; 2024:6565925. [PMID: 39397895 PMCID: PMC11469935 DOI: 10.1155/2024/6565925] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2024] [Revised: 08/11/2024] [Accepted: 08/29/2024] [Indexed: 10/15/2024] Open
Abstract
This study investigates the prognostic significance of SH3 and multiple ankyrin repeat domains 2 (SHANK2) gene expression in glioma patients, using data from The Cancer Genome Atlas (TCGA), the Genotype-Tissue Expression (GTEx) project, and the Gene Expression Omnibus (GEO). Through comprehensive analysis, we found a significant association between higher SHANK2 expression and improved survival outcomes across various glioma subtypes. To further validate the clinical relevance of SHANK2, we conducted cellular experiments involving siRNA-mediated knockdown of SHANK2 in U87 and A172 glioma cell lines. Quantitative real-time PCR (qPCR) and Western blot analyses confirmed the successful knockdown of SHANK2, and subsequent MTT assays revealed that silencing SHANK2 significantly promoted glioma cell proliferation. These findings underscore the potential role of SHANK2 as a tumor suppressor in glioma. The study also introduces a multivariate prognostic model incorporating SHANK2, providing a novel perspective on glioma prognosis. While the retrospective nature of the study presents limitations, our results suggest that SHANK2 expression could serve as a valuable biomarker for glioma prognosis and inform future therapeutic strategies.
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Affiliation(s)
- Wenlin Li
- Department of Neurosurgery, Suining Central Hospital, Suining, Sichuan, China
| | - Haiping Shi
- Department of Neurosurgery, Suining Central Hospital, Suining, Sichuan, China
| | - Jimin He
- Department of Neurosurgery, Suining Central Hospital, Suining, Sichuan, China
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2
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Ogire E, Perrin-Cocon L, Figl M, Kundlacz C, Jacquemin C, Hubert S, Aublin-Gex A, Toesca J, Ramière C, Vidalain PO, Mathieu C, Lotteau V, Diaz O. Dengue Virus dependence on glucokinase activity and glycolysis Confers Sensitivity to NAD(H) biosynthesis inhibitors. Antiviral Res 2024; 228:105939. [PMID: 38909960 DOI: 10.1016/j.antiviral.2024.105939] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Revised: 05/20/2024] [Accepted: 06/17/2024] [Indexed: 06/25/2024]
Abstract
Viruses have developed sophisticated strategies to control metabolic activity of infected cells in order to supply replication machinery with energy and metabolites. Dengue virus (DENV), a mosquito-borne flavivirus responsible for dengue fever, is no exception. Previous reports have documented DENV interactions with metabolic pathways and shown in particular that glycolysis is increased in DENV-infected cells. However, underlying molecular mechanisms are still poorly characterized and dependence of DENV on this pathway has not been investigated in details yet. Here, we identified an interaction between the non-structural protein 3 (NS3) of DENV and glucokinase regulator protein (GCKR), a host protein that inhibits the liver-specific hexokinase GCK. NS3 expression was found to increase glucose consumption and lactate secretion in hepatic cell line expressing GCK. Interestingly, we observed that GCKR interaction with GCK decreases DENV replication, indicating the dependence of DENV to GCK activity and supporting the role of NS3 as an inhibitor of GCKR function. Accordingly, in the same cells, DENV replication both induces and depends on glycolysis. By targeting NAD(H) biosynthesis with the antimetabolite 6-Amino-Nicotinamide (6-AN), we decreased cellular glycolytic activity and inhibited DENV replication in hepatic cells. Infection of primary organotypic liver cultures (OLiC) from hamsters was also inhibited by 6-AN. Altogether, our results show that DENV has evolved strategies to control glycolysis in the liver, which could account for hepatic dysfunctions associated to infection. Besides, our findings suggest that lowering intracellular availability of NAD(H) could be a valuable therapeutic strategy to control glycolysis and inhibit DENV replication in the liver.
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Affiliation(s)
- Eva Ogire
- CIRI, Centre International de Recherche en Infectiologie, NeuroInvasion TROpism and VIRal Encephalitis Team, Univ Lyon, Inserm, U1111, Université Claude Bernard Lyon 1, CNRS, UMR5308, ENS de Lyon, 21 Avenue Tony Garnier, F-69007, Lyon, France
| | - Laure Perrin-Cocon
- CIRI, Centre International de Recherche en Infectiologie, VIRal Infection Metabolism and Immunity Team, Univ Lyon, Inserm, U1111, Université Claude Bernard Lyon 1, CNRS, UMR5308, ENS de Lyon, 21 Avenue Tony Garnier, F-69007, Lyon, France
| | - Marianne Figl
- CIRI, Centre International de Recherche en Infectiologie, VIRal Infection Metabolism and Immunity Team, Univ Lyon, Inserm, U1111, Université Claude Bernard Lyon 1, CNRS, UMR5308, ENS de Lyon, 21 Avenue Tony Garnier, F-69007, Lyon, France
| | - Cindy Kundlacz
- CIRI, Centre International de Recherche en Infectiologie, VIRal Infection Metabolism and Immunity Team, Univ Lyon, Inserm, U1111, Université Claude Bernard Lyon 1, CNRS, UMR5308, ENS de Lyon, 21 Avenue Tony Garnier, F-69007, Lyon, France
| | - Clémence Jacquemin
- CIRI, Centre International de Recherche en Infectiologie, VIRal Infection Metabolism and Immunity Team, Univ Lyon, Inserm, U1111, Université Claude Bernard Lyon 1, CNRS, UMR5308, ENS de Lyon, 21 Avenue Tony Garnier, F-69007, Lyon, France
| | - Sophie Hubert
- CIRI, Centre International de Recherche en Infectiologie, VIRal Infection Metabolism and Immunity Team, Univ Lyon, Inserm, U1111, Université Claude Bernard Lyon 1, CNRS, UMR5308, ENS de Lyon, 21 Avenue Tony Garnier, F-69007, Lyon, France
| | - Anne Aublin-Gex
- CIRI, Centre International de Recherche en Infectiologie, VIRal Infection Metabolism and Immunity Team, Univ Lyon, Inserm, U1111, Université Claude Bernard Lyon 1, CNRS, UMR5308, ENS de Lyon, 21 Avenue Tony Garnier, F-69007, Lyon, France
| | - Johan Toesca
- CIRI, Centre International de Recherche en Infectiologie, VIRal Infection Metabolism and Immunity Team, Univ Lyon, Inserm, U1111, Université Claude Bernard Lyon 1, CNRS, UMR5308, ENS de Lyon, 21 Avenue Tony Garnier, F-69007, Lyon, France
| | - Christophe Ramière
- CIRI, Centre International de Recherche en Infectiologie, VIRal Infection Metabolism and Immunity Team, Univ Lyon, Inserm, U1111, Université Claude Bernard Lyon 1, CNRS, UMR5308, ENS de Lyon, 21 Avenue Tony Garnier, F-69007, Lyon, France; Laboratoire de Virologie, Hôpital de la Croix-Rousse, Hospices Civils de Lyon, Lyon, France
| | - Pierre-Olivier Vidalain
- CIRI, Centre International de Recherche en Infectiologie, VIRal Infection Metabolism and Immunity Team, Univ Lyon, Inserm, U1111, Université Claude Bernard Lyon 1, CNRS, UMR5308, ENS de Lyon, 21 Avenue Tony Garnier, F-69007, Lyon, France
| | - Cyrille Mathieu
- CIRI, Centre International de Recherche en Infectiologie, NeuroInvasion TROpism and VIRal Encephalitis Team, Univ Lyon, Inserm, U1111, Université Claude Bernard Lyon 1, CNRS, UMR5308, ENS de Lyon, 21 Avenue Tony Garnier, F-69007, Lyon, France
| | - Vincent Lotteau
- CIRI, Centre International de Recherche en Infectiologie, VIRal Infection Metabolism and Immunity Team, Univ Lyon, Inserm, U1111, Université Claude Bernard Lyon 1, CNRS, UMR5308, ENS de Lyon, 21 Avenue Tony Garnier, F-69007, Lyon, France; Laboratoire P4-Jean Mérieux, INSERM, Lyon, France
| | - Olivier Diaz
- CIRI, Centre International de Recherche en Infectiologie, VIRal Infection Metabolism and Immunity Team, Univ Lyon, Inserm, U1111, Université Claude Bernard Lyon 1, CNRS, UMR5308, ENS de Lyon, 21 Avenue Tony Garnier, F-69007, Lyon, France.
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3
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Honrubia JM, Valverde JR, Muñoz-Santos D, Ripoll-Gómez J, de la Blanca N, Izquierdo J, Villarejo-Torres M, Marchena-Pasero A, Rueda-Huélamo M, Nombela I, Ruiz-Yuste M, Zuñiga S, Sola I, Enjuanes L. Interaction between SARS-CoV PBM and Cellular PDZ Domains Leading to Virus Virulence. Viruses 2024; 16:1214. [PMID: 39205188 PMCID: PMC11359647 DOI: 10.3390/v16081214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2024] [Revised: 07/19/2024] [Accepted: 07/26/2024] [Indexed: 09/04/2024] Open
Abstract
The interaction between SARS-CoV PDZ-binding motifs (PBMs) and cellular PDZs is responsible for virus virulence. The PBM sequence present in the 3a and envelope (E) proteins of SARS-CoV can potentially bind to over 400 cellular proteins containing PDZ domains. The role of SARS-CoV 3a and E proteins was studied. SARS-CoVs, in which 3a-PBM and E-PMB have been deleted (3a-PBM-/E-PBM-), reduced their titer around one logarithmic unit but still were viable. In addition, the absence of the E-PBM and the replacement of 3a-PBM with that of E did not allow the rescue of SARS-CoV. E protein PBM was necessary for virulence, activating p38-MAPK through the interaction with Syntenin-1 PDZ domain. However, the presence or absence of the homologous motif in the 3a protein, which does not bind to Syntenin-1, did not affect virus pathogenicity. Mutagenesis analysis and in silico modeling were performed to study the extension of the PBM of the SARS-CoV E protein. Alanine and glycine scanning was performed revealing a pair of amino acids necessary for optimum virus replication. The binding of E protein with the PDZ2 domain of the Syntenin-1 homodimer induced conformational changes in both PDZ domains 1 and 2 of the dimer.
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Affiliation(s)
- Jose M. Honrubia
- Department of Molecular and Cell Biology, Centro Nacional de Biotecnología (CNB-CSIC), Darwin 3, Campus Universidad Autónoma de Madrid, 28049 Madrid, Spain
| | - Jose R. Valverde
- Scientific Computing Service, Centro Nacional de Biotecnología (CNB-CSIC), Darwin 3, Campus Universidad Autónoma de Madrid, 28049 Madrid, Spain
| | - Diego Muñoz-Santos
- Department of Molecular and Cell Biology, Centro Nacional de Biotecnología (CNB-CSIC), Darwin 3, Campus Universidad Autónoma de Madrid, 28049 Madrid, Spain
| | - Jorge Ripoll-Gómez
- Department of Molecular and Cell Biology, Centro Nacional de Biotecnología (CNB-CSIC), Darwin 3, Campus Universidad Autónoma de Madrid, 28049 Madrid, Spain
| | - Nuria de la Blanca
- Scientific Computing Service, Centro Nacional de Biotecnología (CNB-CSIC), Darwin 3, Campus Universidad Autónoma de Madrid, 28049 Madrid, Spain
| | - Jorge Izquierdo
- Scientific Computing Service, Centro Nacional de Biotecnología (CNB-CSIC), Darwin 3, Campus Universidad Autónoma de Madrid, 28049 Madrid, Spain
| | - Marta Villarejo-Torres
- Department of Molecular and Cell Biology, Centro Nacional de Biotecnología (CNB-CSIC), Darwin 3, Campus Universidad Autónoma de Madrid, 28049 Madrid, Spain
| | - Ana Marchena-Pasero
- Department of Molecular and Cell Biology, Centro Nacional de Biotecnología (CNB-CSIC), Darwin 3, Campus Universidad Autónoma de Madrid, 28049 Madrid, Spain
| | - María Rueda-Huélamo
- Department of Molecular and Cell Biology, Centro Nacional de Biotecnología (CNB-CSIC), Darwin 3, Campus Universidad Autónoma de Madrid, 28049 Madrid, Spain
| | - Ivan Nombela
- Department of Molecular and Cell Biology, Centro Nacional de Biotecnología (CNB-CSIC), Darwin 3, Campus Universidad Autónoma de Madrid, 28049 Madrid, Spain
| | - Mercedes Ruiz-Yuste
- Department of Molecular and Cell Biology, Centro Nacional de Biotecnología (CNB-CSIC), Darwin 3, Campus Universidad Autónoma de Madrid, 28049 Madrid, Spain
| | - Sonia Zuñiga
- Department of Molecular and Cell Biology, Centro Nacional de Biotecnología (CNB-CSIC), Darwin 3, Campus Universidad Autónoma de Madrid, 28049 Madrid, Spain
| | - Isabel Sola
- Department of Molecular and Cell Biology, Centro Nacional de Biotecnología (CNB-CSIC), Darwin 3, Campus Universidad Autónoma de Madrid, 28049 Madrid, Spain
| | - Luis Enjuanes
- Department of Molecular and Cell Biology, Centro Nacional de Biotecnología (CNB-CSIC), Darwin 3, Campus Universidad Autónoma de Madrid, 28049 Madrid, Spain
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Fiacre L, Lowenski S, Bahuon C, Dumarest M, Lambrecht B, Dridi M, Albina E, Richardson J, Zientara S, Jiménez-Clavero MÁ, Pardigon N, Gonzalez G, Lecollinet S. Evaluation of NS4A, NS4B, NS5 and 3'UTR Genetic Determinants of WNV Lineage 1 Virulence in Birds and Mammals. Viruses 2023; 15:v15051094. [PMID: 37243180 DOI: 10.3390/v15051094] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 04/21/2023] [Accepted: 04/25/2023] [Indexed: 05/28/2023] Open
Abstract
West Nile virus (WNV) is amplified in an enzootic cycle involving birds as amplifying hosts. Because they do not develop high levels of viremia, humans and horses are considered to be dead-end hosts. Mosquitoes, especially from the Culex genus, are vectors responsible for transmission between hosts. Consequently, understanding WNV epidemiology and infection requires comparative and integrated analyses in bird, mammalian, and insect hosts. So far, markers of WNV virulence have mainly been determined in mammalian model organisms (essentially mice), while data in avian models are still missing. WNV Israel 1998 (IS98) is a highly virulent strain that is closely genetically related to the strain introduced into North America in 1999, NY99 (genomic sequence homology > 99%). The latter probably entered the continent at New York City, generating the most impactful WNV outbreak ever documented in wild birds, horses, and humans. In contrast, the WNV Italy 2008 strain (IT08) induced only limited mortality in birds and mammals in Europe during the summer of 2008. To test whether genetic polymorphism between IS98 and IT08 could account for differences in disease spread and burden, we generated chimeric viruses between IS98 and IT08, focusing on the 3' end of the genome (NS4A, NS4B, NS5, and 3'UTR regions) where most of the non-synonymous mutations were detected. In vitro and in vivo comparative analyses of parental and chimeric viruses demonstrated a role for NS4A/NS4B/5'NS5 in the decreased virulence of IT08 in SPF chickens, possibly due to the NS4B-E249D mutation. Additionally, significant differences between the highly virulent strain IS98 and the other three viruses were observed in mice, implying the existence of additional molecular determinants of virulence in mammals, such as the amino acid changes NS5-V258A, NS5-N280K, NS5-A372V, and NS5-R422K. As previously shown, our work also suggests that genetic determinants of WNV virulence can be host-dependent.
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Affiliation(s)
- Lise Fiacre
- Animal Health Laboratory, L'alimentation et L'environnement (INRAE), Institut National de Recherche pour L'agriculture, École Vétérinaire d'Alfort (ENVA), Agence Nationale de Sécurité Sanitaire de L'alimentation, de L'environnement et du Travail (ANSES), UMR Virology, 94700 Maisons-Alfort, France
- Centre de Coopération Internationale en Recherche Agronomique pour le Développement (CIRAD), UMR ASTRE, 97170 Petit-Bourg, France
- ASTRE, CIRAD, INRAe, University of Montpellier, 34000 Montpellier, France
| | - Steeve Lowenski
- Animal Health Laboratory, L'alimentation et L'environnement (INRAE), Institut National de Recherche pour L'agriculture, École Vétérinaire d'Alfort (ENVA), Agence Nationale de Sécurité Sanitaire de L'alimentation, de L'environnement et du Travail (ANSES), UMR Virology, 94700 Maisons-Alfort, France
| | - Céline Bahuon
- Animal Health Laboratory, L'alimentation et L'environnement (INRAE), Institut National de Recherche pour L'agriculture, École Vétérinaire d'Alfort (ENVA), Agence Nationale de Sécurité Sanitaire de L'alimentation, de L'environnement et du Travail (ANSES), UMR Virology, 94700 Maisons-Alfort, France
| | - Marine Dumarest
- Animal Health Laboratory, L'alimentation et L'environnement (INRAE), Institut National de Recherche pour L'agriculture, École Vétérinaire d'Alfort (ENVA), Agence Nationale de Sécurité Sanitaire de L'alimentation, de L'environnement et du Travail (ANSES), UMR Virology, 94700 Maisons-Alfort, France
| | | | - Maha Dridi
- SCIENSANO, Avian Virology and Immunology, 1180 Brussels, Belgium
| | - Emmanuel Albina
- Centre de Coopération Internationale en Recherche Agronomique pour le Développement (CIRAD), UMR ASTRE, 97170 Petit-Bourg, France
- ASTRE, CIRAD, INRAe, University of Montpellier, 34000 Montpellier, France
| | - Jennifer Richardson
- Animal Health Laboratory, L'alimentation et L'environnement (INRAE), Institut National de Recherche pour L'agriculture, École Vétérinaire d'Alfort (ENVA), Agence Nationale de Sécurité Sanitaire de L'alimentation, de L'environnement et du Travail (ANSES), UMR Virology, 94700 Maisons-Alfort, France
| | - Stéphan Zientara
- Animal Health Laboratory, L'alimentation et L'environnement (INRAE), Institut National de Recherche pour L'agriculture, École Vétérinaire d'Alfort (ENVA), Agence Nationale de Sécurité Sanitaire de L'alimentation, de L'environnement et du Travail (ANSES), UMR Virology, 94700 Maisons-Alfort, France
| | - Miguel-Ángel Jiménez-Clavero
- Centro de Investigación en Sanidad Animal (CISA-INIA), CSIC, Carretera Algete-El Casar s/n, 28130 Valdeolmos, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), 28001 Madrid, Spain
| | | | - Gaëlle Gonzalez
- Animal Health Laboratory, L'alimentation et L'environnement (INRAE), Institut National de Recherche pour L'agriculture, École Vétérinaire d'Alfort (ENVA), Agence Nationale de Sécurité Sanitaire de L'alimentation, de L'environnement et du Travail (ANSES), UMR Virology, 94700 Maisons-Alfort, France
| | - Sylvie Lecollinet
- Animal Health Laboratory, L'alimentation et L'environnement (INRAE), Institut National de Recherche pour L'agriculture, École Vétérinaire d'Alfort (ENVA), Agence Nationale de Sécurité Sanitaire de L'alimentation, de L'environnement et du Travail (ANSES), UMR Virology, 94700 Maisons-Alfort, France
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Gogl G, Zambo B, Kostmann C, Cousido-Siah A, Morlet B, Durbesson F, Negroni L, Eberling P, Jané P, Nominé Y, Zeke A, Østergaard S, Monsellier É, Vincentelli R, Travé G. Quantitative fragmentomics allow affinity mapping of interactomes. Nat Commun 2022; 13:5472. [PMID: 36115835 PMCID: PMC9482650 DOI: 10.1038/s41467-022-33018-0] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 08/24/2022] [Indexed: 12/18/2022] Open
Abstract
Human protein networks have been widely explored but most binding affinities remain unknown, hindering quantitative interactome-function studies. Yet interactomes rely on minimal interacting fragments displaying quantifiable affinities. Here, we measure the affinities of 65,000 interactions involving PDZ domains and their target PDZ-binding motifs (PBM) within a human interactome region particularly relevant for viral infection and cancer. We calculate interactomic distances, identify hot spots for viral interference, generate binding profiles and specificity logos, and explain selected cases by crystallographic studies. Mass spectrometry experiments on cell extracts and literature surveys show that quantitative fragmentomics effectively complements protein interactomics by providing affinities and completeness of coverage, putting a full human interactome affinity survey within reach. Finally, we show that interactome hijacking by the viral PBM of human papillomavirus E6 oncoprotein substantially impacts the host cell proteome beyond immediate E6 binders, illustrating the complex system-wide relationship between interactome and function. Protein networks have been widely explored but most binding affinities remain unknown, limiting the quantitative interpretation of interactomes. Here the authors measure affinities of 65,000 interactions involving human PDZ domains and target sequence motifs relevant for viral infection and cancer.
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Domain 2 of Hepatitis C Virus Protein NS5A Activates Glucokinase and Induces Lipogenesis in Hepatocytes. Int J Mol Sci 2022; 23:ijms23020919. [PMID: 35055105 PMCID: PMC8780509 DOI: 10.3390/ijms23020919] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Revised: 01/05/2022] [Accepted: 01/12/2022] [Indexed: 02/04/2023] Open
Abstract
Hepatitis C virus (HCV) relies on cellular lipid metabolism for its replication, and actively modulates lipogenesis and lipid trafficking in infected hepatocytes. This translates into an intracellular accumulation of triglycerides leading to liver steatosis, cirrhosis and hepatocellular carcinoma, which are hallmarks of HCV pathogenesis. While the interaction of HCV with hepatocyte metabolic pathways is patent, how viral proteins are able to redirect central carbon metabolism towards lipogenesis is unclear. Here, we report that the HCV protein NS5A activates the glucokinase (GCK) isoenzyme of hexokinases through its D2 domain (NS5A-D2). GCK is the first rate-limiting enzyme of glycolysis in normal hepatocytes whose expression is replaced by the hexokinase 2 (HK2) isoenzyme in hepatocellular carcinoma cell lines. We took advantage of a unique cellular model specifically engineered to re-express GCK instead of HK2 in the Huh7 cell line to evaluate the consequences of NS5A-D2 expression on central carbon and lipid metabolism. NS5A-D2 increased glucose consumption but decreased glycogen storage. This was accompanied by an altered mitochondrial respiration, an accumulation of intracellular triglycerides and an increased production of very-low density lipoproteins. Altogether, our results show that NS5A-D2 can reprogram central carbon metabolism towards a more energetic and glycolytic phenotype compatible with HCV needs for replication.
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Caillet-Saguy C, Wolff N. PDZ-Containing Proteins Targeted by the ACE2 Receptor. Viruses 2021; 13:2281. [PMID: 34835087 PMCID: PMC8624105 DOI: 10.3390/v13112281] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Revised: 11/09/2021] [Accepted: 11/10/2021] [Indexed: 12/28/2022] Open
Abstract
Angiotensin-converting enzyme 2 (ACE2) is a main receptor for SARS-CoV-2 entry to the host cell. Indeed, the first step in viral entry is the binding of the viral trimeric spike (S) protein to ACE2. Abundantly present in human epithelial cells of many organs, ACE2 is also expressed in the human brain. ACE2 is a type I membrane protein with an extracellular N-terminal peptidase domain and a C-terminal collectrin-like domain that ends with a single transmembrane helix and an intracellular 44-residue segment. This C-terminal segment contains a PDZ-binding motif (PBM) targeting protein-interacting domains called PSD-95/Dlg/ZO-1 (PDZ). Here, we identified the human PDZ specificity profile of the ACE2 PBM using the high-throughput holdup assay and measuring the binding intensities of the PBM of ACE2 against the full human PDZome. We discovered 14 human PDZ binders of ACE2 showing significant binding with dissociation constants' values ranging from 3 to 81 μM. NHERF, SHANK, and SNX27 proteins found in this study are involved in protein trafficking. The PDZ/PBM interactions with ACE2 could play a role in ACE2 internalization and recycling that could be of benefit for the virus entry. Interestingly, most of the ACE2 partners we identified are expressed in neuronal cells, such as SHANK and MAST families, and modifications of the interactions between ACE2 and these neuronal proteins may be involved in the neurological symptoms of COVID-19.
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Affiliation(s)
- Célia Caillet-Saguy
- Unité Récepteurs-Canaux, Institut Pasteur, UMR CNRS 3571, 75015 Paris, France
| | - Nicolas Wolff
- Unité Récepteurs-Canaux, Institut Pasteur, UMR CNRS 3571, 75015 Paris, France
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8
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Caillet-Saguy C, Durbesson F, Rezelj VV, Gogl G, Tran QD, Twizere JC, Vignuzzi M, Vincentelli R, Wolff N. Host PDZ-containing proteins targeted by SARS-CoV-2. FEBS J 2021; 288:5148-5162. [PMID: 33864728 PMCID: PMC8250131 DOI: 10.1111/febs.15881] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 03/31/2021] [Accepted: 04/13/2021] [Indexed: 12/16/2022]
Abstract
Small linear motifs targeting protein interacting domains called PSD‐95/Dlg/ZO‐1 (PDZ) have been identified at the C terminus of the severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) proteins E, 3a, and N. Using a high‐throughput approach of affinity‐profiling against the full human PDZome, we identified sixteen human PDZ binders of SARS‐CoV‐2 proteins E, 3A, and N showing significant interactions with dissociation constants values ranging from 3 to 82 μm. Six of them (TJP1, PTPN13, HTRA1, PARD3, MLLT4, LNX2) are also recognized by SARS‐CoV while three (NHERF1, MAST2, RADIL) are specific to SARS‐CoV‐2 E protein. Most of these SARS‐CoV‐2 protein partners are involved in cellular junctions/polarity and could be also linked to evasion mechanisms of the immune responses during viral infection. Among the binders of the SARS‐CoV‐2 proteins E, 3a, or N, seven significantly affect viral replication under knock down gene expression in infected cells. This PDZ profiling identifying human proteins potentially targeted by SARS‐CoV‐2 can help to understand the multifactorial severity of COVID19 and to conceive effective anti‐coronaviral agents for therapeutic purposes.
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Affiliation(s)
| | | | - Veronica V Rezelj
- Institut Pasteur, Unité Populations Virales et Pathogénèse, UMR CNRS 3569, Paris, France
| | - Gergö Gogl
- IGBMC, INSERM U1258/UMR CNRS 7104, Illkirch, France
| | - Quang Dinh Tran
- Institut Pasteur, Unité Populations Virales et Pathogénèse, UMR CNRS 3569, Paris, France.,École doctorale BioSPC, Université Paris Diderot, Sorbonne Paris Cité, France
| | - Jean-Claude Twizere
- GIGA Institute, Molecular Biology of Diseases, Viral Interactomes laboratory, University of Liege, Belgium
| | - Marco Vignuzzi
- Institut Pasteur, Unité Populations Virales et Pathogénèse, UMR CNRS 3569, Paris, France
| | | | - Nicolas Wolff
- Institut Pasteur, Unité Récepteurs-Canaux, UMR CNRS 3571, Paris, France
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