51
|
Mazzei L, Dobrovolska O, Musiani F, Zambelli B, Ciurli S. On the interaction of Helicobacter pylori NikR, a Ni(II)-responsive transcription factor, with the urease operator: in solution and in silico studies. J Biol Inorg Chem 2015. [PMID: 26204982 DOI: 10.1007/s00775-015-1284-0] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Helicobacter pylori (Hp) is a carcinogen that relies on Ni(II) to survive in the extreme pH conditions of the human guts. The regulation of genes coding for Ni(II) enzymes and proteins is effected by the nickel-responsive transcription factor NikR, composed of a DNA-binding domain (DBD) and a metal-binding domain (MBD). The scope of this study is to obtain the molecular details of the HpNikR interaction with the urease operator OP ureA , in solution. The size of the full-length protein prevents the characterization of the HpNikR-OP ureA interaction using NMR. We thus investigated the two separate domains of HpNikR. The conservation of their oligomeric state was established by multiple-angle light scattering. Isothermal calorimetric titrations indicated that the thermodynamics of Ni(II) binding to the isolated MBD is independent of the presence of the adjacent DBDs. The NMR spectra of the isolated DBD support considerable conservation of its structural properties. The spectral perturbations induced on the DBD by OP ureA provided information useful to calculate a structural model of the HpNikR-OP ureA complex using a docking computational protocol. The NMR assignment of the residues involved in the protein-DNA interaction represents a starting point for the development of drugs potentially able to eradicate H. pylori infections. All evidences so far collected, in this and previous studies, consistently indicate that binding of Ni(II) to the MBD increases the HpNikR-DNA affinity by modulating the dynamic, and not the structural, properties of the protein, suggesting that the formation of a stable complex relies upon an induced fit mechanism.
Collapse
Affiliation(s)
- Luca Mazzei
- Laboratory of Bioinorganic Chemistry, Department of Pharmacy and Biotechnology, University of Bologna, Bologna, 40127, Italy
| | | | | | | | | |
Collapse
|
52
|
Abstract
Intrinsically disordered proteins and protein regions (IDPs/IDRs) do not adopt a well-defined folded structure under physiological conditions. Instead, these proteins exist as heterogeneous and dynamical conformational ensembles. IDPs are widespread in eukaryotic proteomes and are involved in fundamental biological processes, mostly related to regulation and signaling. At the same time, disordered regions often pose significant challenges to the structure determination process, which generally requires highly homogeneous proteins samples. In this book chapter, we provide a brief overview of protein disorder, describe various bioinformatics resources that have been developed in recent years for their characterization, and give a general outline of their applications in various types of structural genomics projects. Traditionally, disordered segments were filtered out to optimize the yield of structure determination pipelines. However, it is becoming increasingly clear that the structural characterization of proteins cannot be complete without the incorporation of intrinsically disordered regions.
Collapse
Affiliation(s)
- Marco Punta
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
| | | | | |
Collapse
|
53
|
Dziubańska PJ, Derewenda U, Ellena JF, Engel DA, Derewenda ZS. The structure of the C-terminal domain of the Zaire ebolavirus nucleoprotein. ACTA CRYSTALLOGRAPHICA. SECTION D, BIOLOGICAL CRYSTALLOGRAPHY 2014; 70:2420-9. [PMID: 25195755 PMCID: PMC4157450 DOI: 10.1107/s1399004714014710] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/09/2014] [Accepted: 06/22/2014] [Indexed: 11/11/2022]
Abstract
Ebolavirus (EBOV) causes severe hemorrhagic fever with a mortality rate of up to 90%. EBOV is a member of the order Mononegavirales and, like other viruses in this taxonomic group, contains a negative-sense single-stranded (ss) RNA. The EBOV ssRNA encodes seven distinct proteins. One of them, the nucleoprotein (NP), is the most abundant viral protein in the infected cell and within the viral nucleocapsid. Like other EBOV proteins, NP is multifunctional. It is tightly associated with the viral genome and is essential for viral transcription, RNA replication, genome packaging and nucleocapsid assembly prior to membrane encapsulation. NP is unusual among the Mononegavirales in that it contains two distinct regions, or putative domains, the C-terminal of which shows no homology to any known proteins and is purported to be a hub for protein-protein interactions within the nucleocapsid. The atomic structure of NP remains unknown. Here, the boundaries of the N- and C-terminal domains of NP from Zaire EBOV are defined, it is shown that they can be expressed as highly stable recombinant proteins in Escherichia coli, and the atomic structure of the C-terminal domain (residues 641-739) derived from analysis of two distinct crystal forms at 1.98 and 1.75 Å resolution is described. The structure reveals a novel tertiary fold that is distantly reminiscent of the β-grasp architecture.
Collapse
Affiliation(s)
- Paulina J. Dziubańska
- Department of Molecular Physiology and Biological Physics, University of Virginia School of Medicine, Charlottesville, VA 22908-0736, USA
- Department of Microbiology, Immunology and Cancer Biology, University of Virginia School of Medicine, Charlottesville, VA 22908-0736, USA
| | - Urszula Derewenda
- Department of Molecular Physiology and Biological Physics, University of Virginia School of Medicine, Charlottesville, VA 22908-0736, USA
| | - Jeffrey F. Ellena
- Department of Chemistry, University of Virginia, Charlottesville, VA 22904-4319, USA
| | - Daniel A. Engel
- Department of Microbiology, Immunology and Cancer Biology, University of Virginia School of Medicine, Charlottesville, VA 22908-0736, USA
| | - Zygmunt S. Derewenda
- Department of Molecular Physiology and Biological Physics, University of Virginia School of Medicine, Charlottesville, VA 22908-0736, USA
| |
Collapse
|
54
|
Tovo-Rodrigues L, Roux A, Hutz MH, Rohde LA, Woods AS. Functional characterization of G-protein-coupled receptors: a bioinformatics approach. Neuroscience 2014; 277:764-79. [PMID: 24997265 DOI: 10.1016/j.neuroscience.2014.06.049] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2014] [Revised: 05/22/2014] [Accepted: 06/18/2014] [Indexed: 12/18/2022]
Abstract
Complex molecular and cellular mechanisms regulate G protein-coupled receptors (GPCRs). It is suggested that proteins intrinsically disordered regions (IDRs) are to play a role in GPCR's intra and extracellular regions plasticity, due to their potential for post-translational modification and interaction with other proteins. These regions are defined as lacking a stable three-dimensional (3D) structure. They are rich in hydrophilic and charged, amino acids and are capable to assume different conformations which allow them to interact with multiple partners. In this study we analyzed 75 GPCR involved in synaptic transmission using computational tools for sequence-based prediction of IDRs within a protein. We also evaluated putative ligand-binding motifs using receptor sequences. The disorder analysis indicated that neurotransmitter GPCRs have a significant amount of disorder in their N-terminus, third intracellular loop (3IL) and C-terminus. About 31%, 39% and 53% of human GPCR involved in synaptic transmission are disordered in these regions. Thirty-three percent of receptors show at least one predicted PEST motif, this being statistically greater than the estimate for the rest of human GPCRs. About 90% of the receptors had at least one putative site for dimerization in their 3IL or C-terminus. ELM instances sampled in these domains were 14-3-3, SH3, SH2 and PDZ motifs. In conclusion, the increased flexibility observed in GPCRs, added to the enrichment of linear motifs, PEST and heteromerization sites, may be critical for the nervous system's functional plasticity.
Collapse
Affiliation(s)
- L Tovo-Rodrigues
- Department of Genetics, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil; Structural Biology Unit, Integrative Neuroscience Branch, NIDA IRP, NIH, MD, United States
| | - A Roux
- Structural Biology Unit, Integrative Neuroscience Branch, NIDA IRP, NIH, MD, United States
| | - M H Hutz
- Department of Genetics, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - L A Rohde
- Child and Adolescent Psychiatric Division, Department of Psychiatry, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - A S Woods
- Structural Biology Unit, Integrative Neuroscience Branch, NIDA IRP, NIH, MD, United States.
| |
Collapse
|
55
|
Sharma S, Zheng H, Huang YJ, Ertekin A, Hamuro Y, Rossi P, Tejero R, Acton TB, Xiao R, Jiang M, Zhao L, Ma LC, Swapna GVT, Aramini JM, Montelione GT. Construct optimization for protein NMR structure analysis using amide hydrogen/deuterium exchange mass spectrometry. Proteins 2009; 76:882-94. [PMID: 19306341 PMCID: PMC2739808 DOI: 10.1002/prot.22394] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Disordered or unstructured regions of proteins, while often very important biologically, can pose significant challenges for resonance assignment and three-dimensional structure determination of the ordered regions of proteins by NMR methods. In this article, we demonstrate the application of (1)H/(2)H exchange mass spectrometry (DXMS) for the rapid identification of disordered segments of proteins and design of protein constructs that are more suitable for structural analysis by NMR. In this benchmark study, DXMS is applied to five NMR protein targets chosen from the Northeast Structural Genomics project. These data were then used to design optimized constructs for three partially disordered proteins. Truncated proteins obtained by deletion of disordered N- and C-terminal tails were evaluated using (1)H-(15)N HSQC and (1)H-(15)N heteronuclear NOE NMR experiments to assess their structural integrity. These constructs provide significantly improved NMR spectra, with minimal structural perturbations to the ordered regions of the protein structure. As a representative example, we compare the solution structures of the full length and DXMS-based truncated construct for a 77-residue partially disordered DUF896 family protein YnzC from Bacillus subtilis, where deletion of the disordered residues (ca. 40% of the protein) does not affect the native structure. In addition, we demonstrate that throughput of the DXMS process can be increased by analyzing mixtures of up to four proteins without reducing the sequence coverage for each protein. Our results demonstrate that DXMS can serve as a central component of a process for optimizing protein constructs for NMR structure determination.
Collapse
Affiliation(s)
- Seema Sharma
- Center for Advanced Biotechnology and Medicine, Rutgers University, 679 Hoes Lane, Piscataway, New Jersey 08854
- Northeast Structural Genomics Consortium, Rutgers University, Piscataway, New Jersey 08854
| | - Haiyan Zheng
- Center for Advanced Biotechnology and Medicine, Rutgers University, 679 Hoes Lane, Piscataway, New Jersey 08854
| | - Yuanpeng J. Huang
- Center for Advanced Biotechnology and Medicine, Rutgers University, 679 Hoes Lane, Piscataway, New Jersey 08854
- Northeast Structural Genomics Consortium, Rutgers University, Piscataway, New Jersey 08854
| | - Asli Ertekin
- Center for Advanced Biotechnology and Medicine, Rutgers University, 679 Hoes Lane, Piscataway, New Jersey 08854
- Northeast Structural Genomics Consortium, Rutgers University, Piscataway, New Jersey 08854
| | | | - Paolo Rossi
- Center for Advanced Biotechnology and Medicine, Rutgers University, 679 Hoes Lane, Piscataway, New Jersey 08854
- Northeast Structural Genomics Consortium, Rutgers University, Piscataway, New Jersey 08854
| | - Roberto Tejero
- Center for Advanced Biotechnology and Medicine, Rutgers University, 679 Hoes Lane, Piscataway, New Jersey 08854
- Northeast Structural Genomics Consortium, Rutgers University, Piscataway, New Jersey 08854
| | - Thomas B. Acton
- Center for Advanced Biotechnology and Medicine, Rutgers University, 679 Hoes Lane, Piscataway, New Jersey 08854
- Northeast Structural Genomics Consortium, Rutgers University, Piscataway, New Jersey 08854
| | - Rong Xiao
- Center for Advanced Biotechnology and Medicine, Rutgers University, 679 Hoes Lane, Piscataway, New Jersey 08854
- Northeast Structural Genomics Consortium, Rutgers University, Piscataway, New Jersey 08854
| | - Mei Jiang
- Center for Advanced Biotechnology and Medicine, Rutgers University, 679 Hoes Lane, Piscataway, New Jersey 08854
- Northeast Structural Genomics Consortium, Rutgers University, Piscataway, New Jersey 08854
| | - Li Zhao
- Center for Advanced Biotechnology and Medicine, Rutgers University, 679 Hoes Lane, Piscataway, New Jersey 08854
- Northeast Structural Genomics Consortium, Rutgers University, Piscataway, New Jersey 08854
| | - Li-Chung Ma
- Center for Advanced Biotechnology and Medicine, Rutgers University, 679 Hoes Lane, Piscataway, New Jersey 08854
- Northeast Structural Genomics Consortium, Rutgers University, Piscataway, New Jersey 08854
| | - G. V. T. Swapna
- Center for Advanced Biotechnology and Medicine, Rutgers University, 679 Hoes Lane, Piscataway, New Jersey 08854
- Northeast Structural Genomics Consortium, Rutgers University, Piscataway, New Jersey 08854
| | - James M. Aramini
- Center for Advanced Biotechnology and Medicine, Rutgers University, 679 Hoes Lane, Piscataway, New Jersey 08854
- Northeast Structural Genomics Consortium, Rutgers University, Piscataway, New Jersey 08854
| | - Gaetano T. Montelione
- Center for Advanced Biotechnology and Medicine, Rutgers University, 679 Hoes Lane, Piscataway, New Jersey 08854
- Northeast Structural Genomics Consortium, Rutgers University, Piscataway, New Jersey 08854
- Robert Wood Johnson Medical School, University of Medicine and Dentistry of New Jersey, Piscataway, New Jersey 08854
| |
Collapse
|