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Li WW, Fan XX, Zhu ZX, Cao XJ, Zhu ZY, Pei DS, Wang YZ, Zhang JY, Wang YY, Zheng HX. Tyrosine phosphorylation of IRF3 by BLK facilitates its sufficient activation and innate antiviral response. PLoS Pathog 2023; 19:e1011742. [PMID: 37871014 PMCID: PMC10621992 DOI: 10.1371/journal.ppat.1011742] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 11/02/2023] [Accepted: 10/09/2023] [Indexed: 10/25/2023] Open
Abstract
Viral infection triggers the activation of transcription factor IRF3, and its activity is precisely regulated for robust antiviral immune response and effective pathogen clearance. However, how full activation of IRF3 is achieved has not been well defined. Herein, we identified BLK as a key kinase that positively modulates IRF3-dependent signaling cascades and executes a pre-eminent antiviral effect. BLK deficiency attenuates RNA or DNA virus-induced ISRE activation, interferon production and the cellular antiviral response in human and murine cells, whereas overexpression of BLK has the opposite effects. BLK-deficient mice exhibit lower serum cytokine levels and higher lethality after VSV infection. Moreover, BLK deficiency impairs the secretion of downstream antiviral cytokines and promotes Senecavirus A (SVA) proliferation, thereby supporting SVA-induced oncolysis in an in vivo xenograft tumor model. Mechanistically, viral infection triggers BLK autophosphorylation at tyrosine 309. Subsequently, activated BLK directly binds and phosphorylates IRF3 at tyrosine 107, which further promotes TBK1-induced IRF3 S386 and S396 phosphorylation, facilitating sufficient IRF3 activation and downstream antiviral response. Collectively, our findings suggest that targeting BLK enhances viral clearance via specifically regulating IRF3 phosphorylation by a previously undefined mechanism.
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Affiliation(s)
- Wei-Wei Li
- State Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, Lanzhou University, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, China
- Key Laboratory of Special Pathogens and Biosafety, Wuhan Institute of Virology, Center for Biosafety Mega-Science, Chinese Academy of Sciences, Wuhan, China
- Gansu Province Research Center for Basic Disciplines of Pathogen Biology, Lanzhou, China
| | - Xu-Xu Fan
- State Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, Lanzhou University, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, China
- Gansu Province Research Center for Basic Disciplines of Pathogen Biology, Lanzhou, China
| | - Zi-Xiang Zhu
- State Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, Lanzhou University, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, China
- Gansu Province Research Center for Basic Disciplines of Pathogen Biology, Lanzhou, China
| | - Xue-Jing Cao
- State Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, Lanzhou University, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, China
- Gansu Province Research Center for Basic Disciplines of Pathogen Biology, Lanzhou, China
| | - Zhao-Yu Zhu
- State Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, Lanzhou University, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, China
- Gansu Province Research Center for Basic Disciplines of Pathogen Biology, Lanzhou, China
| | - Dan-Shi Pei
- State Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, Lanzhou University, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, China
- Gansu Province Research Center for Basic Disciplines of Pathogen Biology, Lanzhou, China
| | - Yi-Zhuo Wang
- State Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, Lanzhou University, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, China
- Gansu Province Research Center for Basic Disciplines of Pathogen Biology, Lanzhou, China
| | - Ji-Yan Zhang
- State Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, Lanzhou University, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, China
- Gansu Province Research Center for Basic Disciplines of Pathogen Biology, Lanzhou, China
| | - Yan-Yi Wang
- Key Laboratory of Special Pathogens and Biosafety, Wuhan Institute of Virology, Center for Biosafety Mega-Science, Chinese Academy of Sciences, Wuhan, China
| | - Hai-Xue Zheng
- State Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, Lanzhou University, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, China
- Gansu Province Research Center for Basic Disciplines of Pathogen Biology, Lanzhou, China
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2
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Gaur NK, Ghosh B, Goyal VD, Kulkarni K, Makde RD. Evolutionary conservation of protein dynamics: insights from all-atom molecular dynamics simulations of 'peptidase' domain of Spt16. J Biomol Struct Dyn 2023; 41:1445-1457. [PMID: 34971347 DOI: 10.1080/07391102.2021.2021990] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Protein function is encoded in its sequence, manifested in its three-dimensional structure, and facilitated by its dynamics. Studies have suggested that protein structures with higher sequence similarity could have more similar patterns of dynamics. However, such studies of protein dynamics within and across protein families typically rely on coarse-grained models, or approximate metrics like crystallographic B-factors. This study uses µs scale molecular dynamics (MD) simulations to explore the conservation of dynamics among homologs of ∼50 kDa N-terminal module of Spt16 (Spt16N). Spt16N from Saccharomyces cerevisiae (Sc-Spt16N) and three of its homologs with 30-40% sequence identities were available in the PDB. To make our data-set more comprehensive, the crystal structure of an additional homolog (62% sequence identity with Sc-Spt16N) was solved at 1.7 Å resolution. Cumulative MD simulations of 6 µs were carried out on these Spt16N structures and on two additional protein structures with varying degrees of similarity to it. The simulations revealed that correlation in patterns of backbone fluctuations vary linearly with sequence identity. This trend could not be inferred using crystallographic B-factors. Further, normal mode analysis suggested a similar pattern of inter-domain (inter-lobe) motions not only among Spt16N homologs, but also in the M24 peptidase structure. On the other hand, MD simulation results highlighted conserved motions that were found unique for Spt16N protein, this along with electrostatics trends shed light on functional aspects of Spt16N.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Neeraj K Gaur
- Beamline Development and Application Section, Bhabha Atomic Research Centre, Mumbai, India.,Division of Biochemical Sciences, CSIR-National Chemical Laboratory, Pune, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
| | - Biplab Ghosh
- Beamline Development and Application Section, Bhabha Atomic Research Centre, Mumbai, India
| | - Venuka Durani Goyal
- Beamline Development and Application Section, Bhabha Atomic Research Centre, Mumbai, India
| | - Kiran Kulkarni
- Division of Biochemical Sciences, CSIR-National Chemical Laboratory, Pune, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
| | - Ravindra D Makde
- Beamline Development and Application Section, Bhabha Atomic Research Centre, Mumbai, India
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3
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Paul A, Subhadarshini S, Srinivasan N. Pseudokinases repurpose flexibility signatures associated with the protein kinase fold for noncatalytic roles. Proteins 2021; 90:747-764. [PMID: 34708889 DOI: 10.1002/prot.26271] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Revised: 09/22/2021] [Accepted: 10/18/2021] [Indexed: 01/27/2023]
Abstract
The bilobal protein kinase-like fold in pseudokinases lack one or more catalytic residues, conserved in canonical protein kinases, and are considered enzymatically deficient. Tertiary structures of pseudokinases reveal that their loops topologically equivalent to activation segments of kinases adopt contracted configurations, which is typically extended in active conformation of kinases. Herein, anisotropic network model based normal mode analysis (NMA) was conducted on 51 active conformation structures of protein kinases and 26 crystal structures of pseudokinases. Our observations indicate that although backbone fluctuation profiles are similar for individual kinase-pseudokinase families, low intensity mean square fluctuations in pseudo-activation segment and other sub-structures impart rigidity to pseudokinases. Analyses of collective motions from functional modes reveal that pseudokinases, compared to active kinases, undergo distinct conformational transitions using the same structural fold. All-atom NMA of protein kinase-pseudokinase pairs from each family, sharing high amino acid sequence identities, yielded distinct community clusters, partitioned by residues exhibiting highly correlated fluctuations. It appears that atomic fluctuations from equivalent activation segments guide community membership and network topologies for respective kinase and pseudokinase. Our findings indicate that such adaptations in backbone and side-chain fluctuations render pseudokinases competent for catalysis-independent roles.
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Affiliation(s)
- Anindita Paul
- Molecular Biophysics Unit, Indian Institute of Science, Bangalore, Karnataka, India
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4
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Ravikumar A, de Brevern AG, Srinivasan N. Conformational Strain Indicated by Ramachandran Angles for the Protein Backbone Is Only Weakly Related to the Flexibility. J Phys Chem B 2021; 125:2597-2606. [PMID: 33666418 DOI: 10.1021/acs.jpcb.1c00168] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Studies on energy associated with free dipeptides have shown that conformers with unfavorable (ϕ,ψ) torsion angles have higher energy compared to conformers with favorable (ϕ,ψ) angles. It is expected that higher energy confers higher dynamics and flexibility to that part of the protein. Here, we explore a potential relationship between conformational strain in a residue due to unfavorable (ϕ,ψ) angles and its flexibility and dynamics in the context of protein structures. We compared flexibility of strained and relaxed residues, which are recognized based on outlier/allowed and favorable (ϕ,ψ) angles respectively, using normal-mode analysis (NMA). We also performed in-depth analysis on flexibility and dynamics at catalytic residues in protein kinases, which exhibit different strain status in different kinase structures using NMA and molecular dynamics simulations. We underline that strain of a residue, as defined by backbone torsion angles, is almost unrelated to the flexibility and dynamics associated with it. Even the overall trend observed among all high-resolution structures in which relaxed residues tend to have slightly higher flexibility than strained residues is counterintuitive. Consequently, we propose that identifying strained residues based on (ϕ,ψ) values is not an effective way to recognize energetic strain in protein structures.
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Affiliation(s)
- Ashraya Ravikumar
- Molecular Biophysics Unit, Indian Institute of Science, Bengaluru, India, 560012
| | - Alexandre G de Brevern
- INSERM, U 1134, DSIMB, Paris F-75739, France.,University of Paris, Paris F-75739, France.,Institut National de la Transfusion Sanguine (INTS), Paris F-75739, France.,Laboratoire d'Excellence GR-Ex, Paris F-75739, France
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5
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Kalaivani R, Narwani TJ, de Brevern AG, Srinivasan N. Long-range molecular dynamics show that inactive forms of Protein Kinase A are more dynamic than active forms. Protein Sci 2018; 28:543-560. [PMID: 30468265 DOI: 10.1002/pro.3556] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2018] [Revised: 11/11/2018] [Accepted: 11/18/2018] [Indexed: 12/24/2022]
Abstract
Many protein kinases are characterized by at least two structural forms corresponding to the highest level of activity (active) and low or no activity, (inactive). Further, protein dynamics is an important consideration in understanding the molecular and mechanistic basis of enzyme function. In this work, we use protein kinase A (PKA) as the model system and perform microsecond range molecular dynamics (MD) simulations on six variants which differ from one another in terms of active and inactive form, with or without bound ligands, C-terminal tail and phosphorylation at the activation loop. We find that the root mean square fluctuations in the MD simulations are generally higher for the inactive forms than the active forms. This difference is statistically significant. The higher dynamics of inactive states has significant contributions from ATP binding loop, catalytic loop, and αG helix. Simulations with and without C-terminal tail show this differential dynamics as well, with lower dynamics both in the active and inactive forms if C-terminal tail is present. Similarly, the dynamics associated with the inactive form is higher irrespective of the phosphorylation status of Thr 197. A relatively stable stature of active kinases may be better suited for binding of substrates and detachment of the product. Also, phosphoryl group transfer from ATP to the phosphosite on the substrate requires precise transient coordination of chemical entities from three different molecules, which may be facilitated by the higher stability of the active state.
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Affiliation(s)
- R Kalaivani
- Molecular Biophysics Unit, Indian Institute of Science, Bangalore, 560012, India
| | - T J Narwani
- INSERM, U 1134, DSIMB, F-75739, Paris, France.,Univ Paris Diderot, Sorbonne Paris Cité, UMR_S 1134, F-75739, Paris, France.,Institut National de la Transfusion Sanguine (INTS), F-75739, Paris, France.,Laboratoire d'Excellence GR-Ex, F-75739, Paris, France
| | - A G de Brevern
- INSERM, U 1134, DSIMB, F-75739, Paris, France.,Univ Paris Diderot, Sorbonne Paris Cité, UMR_S 1134, F-75739, Paris, France.,Institut National de la Transfusion Sanguine (INTS), F-75739, Paris, France.,Laboratoire d'Excellence GR-Ex, F-75739, Paris, France
| | - N Srinivasan
- Molecular Biophysics Unit, Indian Institute of Science, Bangalore, 560012, India
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Kalaivani R, Reema R, Srinivasan N. Recognition of sites of functional specialisation in all known eukaryotic protein kinase families. PLoS Comput Biol 2018; 14:e1005975. [PMID: 29438395 PMCID: PMC5826538 DOI: 10.1371/journal.pcbi.1005975] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2017] [Revised: 02/26/2018] [Accepted: 01/13/2018] [Indexed: 11/25/2022] Open
Abstract
The conserved function of protein phosphorylation, catalysed by members of protein kinase superfamily, is regulated in different ways in different kinase families. Further, differences in activating triggers, cellular localisation, domain architecture and substrate specificity between kinase families are also well known. While the transfer of γ-phosphate from ATP to the hydroxyl group of Ser/Thr/Tyr is mediated by a conserved Asp, the characteristic functional and regulatory sites are specialized at the level of families or sub-families. Such family-specific sites of functional specialization are unknown for most families of kinases. In this work, we systematically identify the family-specific residue features by comparing the extent of conservation of physicochemical properties, Shannon entropy and statistical probability of residue distributions between families of kinases. An integrated discriminatory score, which combines these three features, is developed to demarcate the functionally specialized sites in a kinase family from other sites. We achieved an area under ROC curve of 0.992 for the discrimination of kinase families. Our approach was extensively tested on well-studied families CDK and MAPK, wherein specific protein interaction sites and substrate recognition sites were successfully detected (p-value < 0.05). We also find that the known family-specific oncogenic driver mutation sites were scored high by our method. The method was applied to all known kinases encompassing 107 families from diverse eukaryotic organisms leading to a comprehensive list of family-specific functional sites. Apart from other uses, our method facilitates identification of specific protein interaction sites and drug target sites in a kinase family.
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Affiliation(s)
- Raju Kalaivani
- Molecular Biophysics Unit, Indian Institute of Science, Bangalore, Karnataka, India
| | - Raju Reema
- Molecular Biophysics Unit, Indian Institute of Science, Bangalore, Karnataka, India
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