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Karakoese Z, Le-Trilling VTK, Schuhenn J, Francois S, Lu M, Liu J, Trilling M, Hoffmann D, Dittmer U, Sutter K. Targeted mutations in IFNα2 improve its antiviral activity against various viruses. mBio 2023; 14:e0235723. [PMID: 37874130 PMCID: PMC10746204 DOI: 10.1128/mbio.02357-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 09/07/2023] [Indexed: 10/25/2023] Open
Abstract
During viral infections, type I interferons (IFN) are induced and play a key role in counteracting initial viral spread. Twelve different human IFNα subtypes exist that bind the same receptor; however, they elicit unique host responses and display distinct potencies of antiviral activities. Our previous studies on human immunodeficiency virus (HIV) and hepatitis B virus (HBV) demonstrated that the clinically used IFNα2 is not the most effective one among the IFNα subtypes. By sequence modeling, we identified a region in helix B with mainly conserved residues at the outside facing IFNAR1, but variable residues at the inside facing the core of IFNα, potentially representing a putative tunable anchor to tune pleiotropic IFN responses. Using site-directed mutagenesis, various mutations were introduced into the IFNα2b backbone targeting sites which are important for binding to IFNAR1 and IFNAR2, the putative tunable anchor, or outside these three regions. Selected mutations were based on sequence differences to high antiviral subtypes IFNα6 and IFNα14. Treatment assays against HBV and HIV identified several critical residues for the antiviral activity of IFNα mainly in the IFNAR1 binding region. Combined mutations of the IFNα2 IFNAR1/2 binding sites or the IFNAR1 binding region plus the putative tunable anchor by those of IFNα14 further augmented activation of different downstream signaling cascades providing a molecular correlate for the enhanced antiviral activity. We describe here important functional residues within IFNα subtype molecules, which enabled us to design novel and innovative drugs that may have the potential to be used in clinical trials against a variety of different viral infections.IMPORTANCEThe potency of interferon (IFN)α to restrict viruses was already discovered in 1957. However, until today, only IFNα2 out of the 12 distinct human IFNα subtypes has been therapeutically used against chronic viral infections. There is convincing evidence that other IFNα subtypes are far more efficient than IFNα2 against many viruses. In order to identify critical antiviral residues within the IFNα subtype sequence, we designed hybrid molecules based on the IFNα2 backbone with individual sequence motifs from the more potent subtypes IFNα6 and IFNα14. In different antiviral assays with HIV or HBV, residues binding to IFNAR1 as well as combinations of residues in the IFNAR1 binding region, the putative tunable anchor, and residues outside these regions were identified to be crucial for the antiviral activity of IFNα. Thus, we designed artificial IFNα molecules, based on the clinically approved IFNα2 backbone, but with highly improved antiviral activity against several viruses.
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Affiliation(s)
- Zehra Karakoese
- University Hospital Essen, University of Duisburg-Essen, Institute for Virology, Essen, Germany
- University Hospital Essen, University of Duisburg-Essen, Institute for Translational HIV Research, Essen, Germany
| | | | - Jonas Schuhenn
- University Hospital Essen, University of Duisburg-Essen, Institute for Virology, Essen, Germany
| | - Sandra Francois
- University Hospital Essen, University of Duisburg-Essen, Institute for Virology, Essen, Germany
| | - Mengji Lu
- University Hospital Essen, University of Duisburg-Essen, Institute for Virology, Essen, Germany
- Joint International Laboratory of Infection and Immunity, Huazhong University of Science and Technology, Wuhan, China
| | - Jia Liu
- Joint International Laboratory of Infection and Immunity, Huazhong University of Science and Technology, Wuhan, China
- Department of Infectious Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Mirko Trilling
- University Hospital Essen, University of Duisburg-Essen, Institute for Virology, Essen, Germany
- Joint International Laboratory of Infection and Immunity, Huazhong University of Science and Technology, Wuhan, China
| | - Daniel Hoffmann
- Joint International Laboratory of Infection and Immunity, Huazhong University of Science and Technology, Wuhan, China
- Research Group Bioinformatics, Faculty of Biology, University of Duisburg-Essen, Essen, Germany
| | - Ulf Dittmer
- University Hospital Essen, University of Duisburg-Essen, Institute for Virology, Essen, Germany
- University Hospital Essen, University of Duisburg-Essen, Institute for Translational HIV Research, Essen, Germany
- Joint International Laboratory of Infection and Immunity, Huazhong University of Science and Technology, Wuhan, China
| | - Kathrin Sutter
- University Hospital Essen, University of Duisburg-Essen, Institute for Virology, Essen, Germany
- University Hospital Essen, University of Duisburg-Essen, Institute for Translational HIV Research, Essen, Germany
- Joint International Laboratory of Infection and Immunity, Huazhong University of Science and Technology, Wuhan, China
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Watanabe H, Yabe-Wada T, Onai N, Unno M. Detailed Structure of Mouse Interferon α2 and Its Interaction with Sortilin. J Biochem 2021; 170:265-273. [PMID: 33769476 DOI: 10.1093/jb/mvab038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Accepted: 03/19/2021] [Indexed: 11/14/2022] Open
Abstract
Interferon α (IFNα) is a type I interferon, an essential cytokine employed by the immune system to fight viruses. Although a number of the structures of type I interferons have been reported, most of the known structures of IFNα are in complex with its receptors. There are only two examples of structures of free IFNα: one is a dimeric X-ray structure without side-chain information; and another is an NMR structure of human IFNα. Although we have shown that Sortilin is involved in the secretion of IFNα, the details of the molecular interaction and the secretion mechanism remain unclear. Recently, we solved the X-ray structure of mouse Sortilin, but the structure of mouse IFNα remained unknown. In the present study, we determined the crystal structure of mouse IFNα2 at 2.1 Å resolution and investigated its interaction with Sortilin. Docking simulations suggested that Arg22 of mouse IFNα2 is important for the interaction with mouse Sortilin. Mutation of Arg22 to alanine facilitated IFNα2 secretion, as determined by flow cytometry, highlighting the contribution of this residue to the interaction with Sortilin. These results suggest an important role for Arg22 in mouse IFNα for Sortilin-mediated IFNα trafficking.
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Affiliation(s)
- Honoka Watanabe
- Graduate School of Science and Engineering, Ibaraki University, Hitachi, Ibaraki 316-8511, Japan.,Frontier Research Center for Applied Atomic Sciences, Ibaraki University, Tokai Naka, Ibaraki 319-1106, Japan
| | - Toshiki Yabe-Wada
- Department of Immunology, Kanazawa Medical University, Kahoku Uchinada, Ishikawa 920-0293, Japan
| | - Nobuyuki Onai
- Department of Immunology, Kanazawa Medical University, Kahoku Uchinada, Ishikawa 920-0293, Japan
| | - Masaki Unno
- Graduate School of Science and Engineering, Ibaraki University, Hitachi, Ibaraki 316-8511, Japan.,Frontier Research Center for Applied Atomic Sciences, Ibaraki University, Tokai Naka, Ibaraki 319-1106, Japan
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Walter MR. The Role of Structure in the Biology of Interferon Signaling. Front Immunol 2020; 11:606489. [PMID: 33281831 PMCID: PMC7689341 DOI: 10.3389/fimmu.2020.606489] [Citation(s) in RCA: 56] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Accepted: 10/19/2020] [Indexed: 12/20/2022] Open
Abstract
Interferons (IFNs) are a family of cytokines with the unique ability to induce cell intrinsic programs that enhance resistance to viral infection. Induction of an antiviral state at the cell, tissue, organ, and organismal level is performed by three distinct IFN families, designated as Type-I, Type-II, and Type-III IFNs. Overall, there are 21 human IFNs, (16 type-I, 12 IFNαs, IFNβ, IFNϵ, IFNκ, and IFNω; 1 type-II, IFNγ; and 4 type-III, IFNλ1, IFNλ2, IFNλ3, and IFNλ4), that induce pleotropic cellular activities essential for innate and adaptive immune responses against virus and other pathogens. IFN signaling is initiated by binding to distinct heterodimeric receptor complexes. The three-dimensional structures of the type-I (IFNα/IFNAR1/IFNAR2), type-II (IFNγ/IFNGR1/IFNGR2), and type-III (IFNλ3/IFNλR1/IL10R2) signaling complexes have been determined. Here, we highlight similar and unique features of the IFNs, their cell surface complexes and discuss their role in inducing downstream IFN signaling responses.
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Affiliation(s)
- Mark R Walter
- Department of Microbiology, University of Alabama at Birmingham, Birmingham, AL, United States
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Anglister J, Srivastava G, Naider F. Detection of intermolecular NOE interactions in large protein complexes. PROGRESS IN NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY 2016; 97:40-56. [PMID: 27888839 DOI: 10.1016/j.pnmrs.2016.08.002] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/29/2016] [Revised: 08/04/2016] [Accepted: 08/07/2016] [Indexed: 05/12/2023]
Abstract
Intermolecular NOE interactions are invaluable for structure determination of biomolecular complexes by NMR and they represent the "gold-standard" amongst NMR measurements for characterizing interfaces. These NOEs constitute only a small fraction of the observed NOEs in a complex and are usually weaker than many of the intramolecular NOEs. A number of methods have been developed to remove the intramolecular NOEs that interfere with the identification of intermolecular NOEs. NMR experiments used to observe intermolecular NOE interactions in large protein complexes must cope with the short T2 relaxation time of the protons and heteronuclei in these complexes because they result in severe losses in sensitivity. The isotope-edited/isotope-filtered experiment is a powerful method for extraction of intermolecular NOEs in biomolecular complexes. Its application to large protein complexes is limited because of severe losses in signal-to-noise ratio caused by delays in the pulse sequence necessary for the multiple magnetization transfer steps between protons and heteronuclei. Isotope-edited/isotope-edited experiments, in which one protein is usually labeled with 13C and the other is labeled with 15N, reduce possible artifacts in the filtering experiments and improve somewhat the sensitivity of these experiments. Sensitivity can also be improved by deuteration of the components of the complex in order to replace either or both of the filtering or editing steps. Asymmetric deuteration, where aromatic residues in one protein and non-aromatic amino acids in the other are reverse protonated, can eliminate the editing and the filtering steps altogether, thus maintaining high sensitivity even for large proteins complexes. Difference spectroscopy and the use of 2D NOESY experiments without using editing or filtering steps can significantly increase the signal-to-noise ratio in experiments aimed at observing intermolecular NOEs. The measurement of NOESY spectra of three different preparations of a heterodimeric complex under investigation in which one or neither of the components is uniformly deuterated, and calculation of a double difference spectrum provides information on all intermolecular NOEs of non-exchangeable protons. Recent studies indicate that many protein-protein interactions are actually between a protein and a linear peptide recognition motif of the second protein, and determinants represented by linear peptides contribute significantly to the binding energy. NMR is a very versatile method to study peptide-protein interactions over a wide range of binding affinities and binding kinetics. Protein-peptide interactions in complexes exhibiting tight binding can be studied using single and/or multiple deuteration of the peptide residues and measuring a difference NOESY spectrum. This difference spectrum will show exclusively intra- and intermolecular interactions of the peptide protons that were deuterated. Transferred nuclear Overhauser spectroscopy (TRNOE) extends NMR to determine interactions within and between a weakly-bound rapidly-exchanging peptide and its protein target. TRNOE, together with asymmetric deuteration, is applicable to complexes up to ∼100KDa and is highly sensitive, taking advantage of the long average T2 of the peptide protons. Among the methods described in this review, TRNOE has the best potential to determine intermolecular NOEs for the upper molecular weight limit of proteins that can be studied in detail by NMR.
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Affiliation(s)
- Jacob Anglister
- Department of Structural Biology, Weizmann Institute of Science, Rehovot 76100, Israel.
| | - Gautam Srivastava
- Department of Structural Biology, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Fred Naider
- Department of Chemistry and Macromolecular Assembly Institute, College of Staten Island of the City University of New York, Staten Island, New York 10314, USA; Biochemistry and Chemistry, The Graduate Center of the City University of New York, New York, NY 10016, USA; Department of Structural Biology, Weizmann Institute of Science, Rehovot 76100, Israel(1)
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Göbl C, Madl T, Simon B, Sattler M. NMR approaches for structural analysis of multidomain proteins and complexes in solution. PROGRESS IN NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY 2014; 80:26-63. [PMID: 24924266 DOI: 10.1016/j.pnmrs.2014.05.003] [Citation(s) in RCA: 130] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/21/2014] [Accepted: 05/14/2014] [Indexed: 05/22/2023]
Abstract
NMR spectroscopy is a key method for studying the structure and dynamics of (large) multidomain proteins and complexes in solution. It plays a unique role in integrated structural biology approaches as especially information about conformational dynamics can be readily obtained at residue resolution. Here, we review NMR techniques for such studies focusing on state-of-the-art tools and practical aspects. An efficient approach for determining the quaternary structure of multidomain complexes starts from the structures of individual domains or subunits. The arrangement of the domains/subunits within the complex is then defined based on NMR measurements that provide information about the domain interfaces combined with (long-range) distance and orientational restraints. Aspects discussed include sample preparation, specific isotope labeling and spin labeling; determination of binding interfaces and domain/subunit arrangements from chemical shift perturbations (CSP), nuclear Overhauser effects (NOEs), isotope editing/filtering, cross-saturation, and differential line broadening; and based on paramagnetic relaxation enhancements (PRE) using covalent and soluble spin labels. Finally, the utility of complementary methods such as small-angle X-ray or neutron scattering (SAXS, SANS), electron paramagnetic resonance (EPR) or fluorescence spectroscopy techniques is discussed. The applications of NMR techniques are illustrated with studies of challenging (high molecular weight) protein complexes.
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Affiliation(s)
- Christoph Göbl
- Biomolecular NMR and Center for Integrated Protein Science Munich at Department Chemie, Technische Universität München, Garching, Germany
| | - Tobias Madl
- Biomolecular NMR and Center for Integrated Protein Science Munich at Department Chemie, Technische Universität München, Garching, Germany; Institute of Structural Biology, Helmholtz Zentrum München, Neuherberg, Germany; Institute of Molecular Biology, University of Graz, Graz, Austria.
| | - Bernd Simon
- European Molecular Biology Laboratory, Structural and Computational Biology Unit, Meyerhofstraße 1, 69117 Heidelberg, Germany
| | - Michael Sattler
- Biomolecular NMR and Center for Integrated Protein Science Munich at Department Chemie, Technische Universität München, Garching, Germany; Institute of Structural Biology, Helmholtz Zentrum München, Neuherberg, Germany.
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Wang S, Zhou P. Sparsely-sampled, high-resolution 4-D omit spectra for detection and assignment of intermolecular NOEs of protein complexes. JOURNAL OF BIOMOLECULAR NMR 2014; 59:51-56. [PMID: 24789524 PMCID: PMC4134939 DOI: 10.1007/s10858-014-9834-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/10/2014] [Accepted: 04/22/2014] [Indexed: 05/30/2023]
Abstract
Unambiguous detection and assignment of intermolecular NOEs are essential for structure determination of protein complexes by NMR. Such information has traditionally been obtained with 3-D half-filtered experiments, where scalar coupling-based purging of intramolecular signals allows for selective detection of intermolecular NOEs. However, due to the large variation of (1)JHC scalar couplings and limited chemical shift dispersion in the indirect proton dimension, it is difficult to obtain reliable and complete assignments of interfacial NOEs. Here, we demonstrate a strategy that combines selective labeling and high-resolution 4-D NOE spectroscopy with sparse sampling for reliable identification and assignment of intermolecular NOEs. Spectral subtraction of component-labeled complexes from a uniformly-labeled protein complex yields an "omit" spectrum containing positive intermolecular NOEs with little signal degeneracy. Such a strategy can be broadly applied to unbiased detection, assignment and presentation of intermolecular NOEs of protein complexes.
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Affiliation(s)
| | - Pei Zhou
- Corresponding author: Pei Zhou; Tel. (919) 668-6409; Fax (919) 684-8885,
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Tugarinov V. Indirect use of deuterium in solution NMR studies of protein structure and hydrogen bonding. PROGRESS IN NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY 2014; 77:49-68. [PMID: 24411830 DOI: 10.1016/j.pnmrs.2013.08.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2013] [Accepted: 08/15/2013] [Indexed: 06/03/2023]
Abstract
A description of the utility of deuteration in protein NMR is provided with an emphasis on quantitative evaluation of the effects of deuteration on a number of NMR parameters of proteins: (1) chemical shifts, (2) scalar coupling constants, (3) relaxation properties (R1 and R2 rates) of nuclei directly attached to one or more deuterons as well as protons of methyl groups in a highly deuterated environment, (4) scalar relaxation of 15N and 13C nuclei in 15N-D and 13C-D spin systems as a measure of hydrogen bonding strength, and (5) NOE-based applications of deuteration in NMR studies of protein structure. The discussion is restricted to the 'indirect' use of deuterium in the sense that the description of NMR parameters and properties of the nuclei affected by nearby deuterons (15N, 13C, 1H) is provided rather than those of deuterium itself.
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Affiliation(s)
- Vitali Tugarinov
- Department of Chemistry and Biochemistry, University of Maryland, College Park, MD 20742, United States.
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Gauniyal HM, Gupta S, Sharma SK, Bajpai U. Temperature-Gradient-Directed NMR Monitoring of a [3 + 3]-Cyclocondensation Reaction Between Alkynone and Ethyl 2-Amino-1H-indole-3-carboxylate Toward the Synthesis of Pyrimido[1,2-a]indole Catalyzed by Cs2CO3. SYNTHETIC COMMUN 2013. [DOI: 10.1080/00397911.2012.687423] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Affiliation(s)
- Harsh M. Gauniyal
- a Sopisticated Analytical Instrument Facility , Central Drug Research Institute, CSIR , Lucknow , India
| | - Sahaj Gupta
- b Medicinal and Process Chemistry Division , Central Drug Research Institute, CSIR , Lucknow , India
| | - Sudhir K. Sharma
- b Medicinal and Process Chemistry Division , Central Drug Research Institute, CSIR , Lucknow , India
| | - Usha Bajpai
- c Department of Physics , University of Lucknow , Lucknow , India
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Ghasriani H, Belcourt PJF, Sauvé S, Hodgson DJ, Brochu D, Gilbert M, Aubin Y. A single N-acetylgalactosamine residue at threonine 106 modifies the dynamics and structure of interferon α2a around the glycosylation site. J Biol Chem 2012. [PMID: 23184955 DOI: 10.1074/jbc.m112.413252] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
Enzymatic addition of GalNAc to isotopically labeled IFNα2a produced in Escherichia coli yielded the O-linked glycoprotein GalNAcα-[(13)C,(15)N]IFNα2a. The three-dimensional structure of GalNAcα-IFNα2a has been determined in solution by NMR spectroscopy at high resolution. Proton-nitrogen heteronuclear Overhauser enhancement measurements revealed that the addition of a single monosaccharide unit at Thr-106 significantly slowed motions of the glycosylation loop on the nanosecond time scale. Subsequent addition of a Gal unit produced Gal(β1,3)GalNAcα-[(13)C,(15)N]IFNα2a. This extension resulted in a further decrease in the dynamics of this loop. The methodology used here allowed the first such description of the structure and dynamics of an O-glycoprotein and opens the way to the study of this class of proteins.
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Affiliation(s)
- Houman Ghasriani
- Centre for Vaccine Evaluation, Biologics and Genetic Therapies Directorate, Health Canada, Ottawa, Ontario K1A 0K9, Canada
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Zhang ZH, Bharatham K, Chee SMQ, Mihalek I. Cube-DB: detection of functional divergence in human protein families. Nucleic Acids Res 2012; 40:D490-4. [PMID: 22139934 PMCID: PMC3245124 DOI: 10.1093/nar/gkr1129] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2011] [Revised: 11/08/2011] [Accepted: 11/08/2011] [Indexed: 12/11/2022] Open
Abstract
Cube-DB is a database of pre-evaluated results for detection of functional divergence in human/vertebrate protein families. The analysis is organized around the nomenclature associated with the human proteins, but based on all currently available vertebrate genomes. Using full genomes enables us, through a mutual-best-hit strategy, to construct comparable taxonomical samples for all paralogues under consideration. Functional specialization is scored on the residue level according to two models of behavior after divergence: heterotachy and homotachy. In the first case, the positions on the protein sequence are scored highly if they are conserved in the reference group of orthologs, and overlap poorly with the residue type choice in the paralogs groups (such positions will also be termed functional determinants). The second model additionally requires conservation within each group of paralogs (functional discriminants). The scoring functions are phylogeny independent, but sensitive to the residue type similarity. The results are presented as a table of per-residue scores, and mapped onto related structure (when available) via browser-embedded visualization tool. They can also be downloaded as a spreadsheet table, and sessions for two additional molecular visualization tools. The database interface is available at http://epsf.bmad.bii.a-star.edu.sg/cube/db/html/home.html.
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Affiliation(s)
- Zong Hong Zhang
- Bioinformatics Institute 30 Biopolis Street, #07-01 Matrix, Singapore 138671 and School of Biological Sciences, Nanyang Technological University, 50 Nanyang Avenue, Singapore 63979
| | - Kavitha Bharatham
- Bioinformatics Institute 30 Biopolis Street, #07-01 Matrix, Singapore 138671 and School of Biological Sciences, Nanyang Technological University, 50 Nanyang Avenue, Singapore 63979
| | - Sharon M. Q. Chee
- Bioinformatics Institute 30 Biopolis Street, #07-01 Matrix, Singapore 138671 and School of Biological Sciences, Nanyang Technological University, 50 Nanyang Avenue, Singapore 63979
| | - Ivana Mihalek
- Bioinformatics Institute 30 Biopolis Street, #07-01 Matrix, Singapore 138671 and School of Biological Sciences, Nanyang Technological University, 50 Nanyang Avenue, Singapore 63979
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