1
|
Khanna M, Sharma K, Saxena SK, Sharma JG, Rajput R, Kumar B. Unravelling the interaction between Influenza virus and the nuclear pore complex: insights into viral replication and host immune response. Virusdisease 2024; 35:231-242. [PMID: 39071870 PMCID: PMC11269558 DOI: 10.1007/s13337-024-00879-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2024] [Accepted: 06/21/2024] [Indexed: 07/30/2024] Open
Abstract
Influenza viruses are known to cause severe respiratory infections in humans, often associated with significant morbidity and mortality rates. Virus replication relies on various host factors and pathways, which also determine the virus's infectious potential. Nonetheless, achieving a comprehensive understanding of how the virus interacts with host cellular components is essential for developing effective therapeutic strategies. One of the key components among host factors, the nuclear pore complex (NPC), profoundly affects both the Influenza virus life cycle and the host's antiviral defenses. Serving as the sole gateway connecting the cytoplasm and nucleoplasm, the NPC plays a vital role as a mediator in nucleocytoplasmic trafficking. Upon infection, the virus hijacks and alters the nuclear pore complex and the nuclear receptors. This enables the virus to infiltrate the nucleus and promotes the movement of viral components between the nucleus and cytoplasm. While the nucleus and cytoplasm play pivotal roles in cellular functions, the nuclear pore complex serves as a crucial component in the host's innate immune system, acting as a defense mechanism against virus infection. This review provides a comprehensive overview of the intricate relationship between the Influenza virus and the nuclear pore complex. Furthermore, we emphasize their mutual influence on viral replication and the host's immune responses.
Collapse
Affiliation(s)
- Madhu Khanna
- Department of Virology, V.P Chest Institute, University of Delhi, Delhi, India
| | - Kajal Sharma
- Department of Virology, V.P Chest Institute, University of Delhi, Delhi, India
- Department of Biotechnology, Delhi Technological University, Delhi, India
| | - Shailendra K. Saxena
- Centre for Advanced Research (CFAR), Faculty of Medicine, King George’s Medical University (KGMU), Lucknow, India
| | - Jai Gopal Sharma
- Department of Biotechnology, Delhi Technological University, Delhi, India
| | - Roopali Rajput
- Department of Virology, V.P Chest Institute, University of Delhi, Delhi, India
| | - Binod Kumar
- Department of Antiviral Research, Institute of Advanced Virology, Thiruvananthapuram, Kerala India
| |
Collapse
|
2
|
Maes A, Botzki A, Mathys J, Impens F, Saelens X. Systematic review and meta-analysis of genome-wide pooled CRISPR screens to identify host factors involved in influenza A virus infection. J Virol 2024; 98:e0185723. [PMID: 38567969 PMCID: PMC11257101 DOI: 10.1128/jvi.01857-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Accepted: 03/14/2024] [Indexed: 05/15/2024] Open
Abstract
The host-virus interactome is increasingly recognized as an important research field to discover new therapeutic targets to treat influenza. Multiple pooled genome-wide CRISPR-Cas screens have been reported to identify new pro- and antiviral host factors of the influenza A virus. However, at present, a comprehensive summary of the results is lacking. We performed a systematic review of all reported CRISPR studies in this field in combination with a meta-analysis using the algorithm of meta-analysis by information content (MAIC). Two ranked gene lists were generated based on evidence in 15 proviral and 4 antiviral screens. Enriched pathways in the proviral MAIC results were compared to those of a prior array-based RNA interference (RNAi) meta-analysis. The top 50 proviral MAIC list contained genes whose role requires further elucidation, such as the endosomal ion channel TPCN1 and the kinase WEE1. Moreover, MAIC indicated that ALYREF, a component of the transcription export complex, has antiviral properties, whereas former knockdown experiments attributed a proviral role to this host factor. CRISPR-Cas-pooled screens displayed a bias toward early-replication events, whereas the prior RNAi meta-analysis covered early and late-stage events. RNAi screens led to the identification of a larger fraction of essential genes than CRISPR screens. In summary, the MAIC algorithm points toward the importance of several less well-known pathways in host-influenza virus interactions that merit further investigation. The results from this meta-analysis of CRISPR screens in influenza A virus infection may help guide future research efforts to develop host-directed anti-influenza drugs. IMPORTANCE Viruses rely on host factors for their replication, whereas the host cell has evolved virus restriction factors. These factors represent potential targets for host-oriented antiviral therapies. Multiple pooled genome-wide CRISPR-Cas screens have been reported to identify pro- and antiviral host factors in the context of influenza virus infection. We performed a comprehensive analysis of the outcome of these screens based on the publicly available gene lists, using the recently developed algorithm meta-analysis by information content (MAIC). MAIC allows the systematic integration of ranked and unranked gene lists into a final ranked gene list. This approach highlighted poorly characterized host factors and pathways with evidence from multiple screens, such as the vesicle docking and lipid metabolism pathways, which merit further exploration.
Collapse
Affiliation(s)
- Annabel Maes
- VIB Center for Medical Biotechnology, VIB, Ghent, Belgium
- Department of Biochemistry and Microbiology, Ghent University, Ghent, Belgium
- Janssen Pharmaceutica NV, Beerse, Belgium
| | | | | | - Francis Impens
- VIB Center for Medical Biotechnology, VIB, Ghent, Belgium
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
- VIB Proteomics Core, VIB, Ghent, Belgium
| | - Xavier Saelens
- VIB Center for Medical Biotechnology, VIB, Ghent, Belgium
- Department of Biochemistry and Microbiology, Ghent University, Ghent, Belgium
| |
Collapse
|
3
|
Zhu Z, Fan H, Fodor E. Defining the minimal components of the influenza A virus replication machinery via an in vitro reconstitution system. PLoS Biol 2023; 21:e3002370. [PMID: 37943954 PMCID: PMC10662765 DOI: 10.1371/journal.pbio.3002370] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 11/21/2023] [Accepted: 10/09/2023] [Indexed: 11/12/2023] Open
Abstract
During influenza A virus infection, the viral RNA polymerase transcribes the viral negative-sense segmented RNA genome and replicates it in a two-step process via complementary RNA within viral ribonucleoprotein (vRNP) complexes. While numerous viral and host factors involved in vRNP functions have been identified, dissecting the roles of individual factors remains challenging due to the complex cellular environment in which vRNP activity has been studied. To overcome this challenge, we reconstituted viral transcription and a full cycle of replication in a test tube using vRNPs isolated from virions and recombinant factors essential for these processes. This novel system uncovers the minimal components required for influenza virus replication and also reveals new roles of regulatory factors in viral replication. Moreover, it sheds light on the molecular interplay underlying the temporal regulation of viral transcription and replication. Our highly robust in vitro system enables systematic functional analysis of factors modulating influenza virus vRNP activity and paves the way for imaging key steps of viral transcription and replication.
Collapse
Affiliation(s)
- Zihan Zhu
- Sir William Dunn School of Pathology, University of Oxford, Oxford, United Kingdom
| | - Haitian Fan
- Sir William Dunn School of Pathology, University of Oxford, Oxford, United Kingdom
| | - Ervin Fodor
- Sir William Dunn School of Pathology, University of Oxford, Oxford, United Kingdom
| |
Collapse
|
4
|
Zhu Z, You R, Li H, Feng S, Ma H, Tuo C, Meng X, Feng S, Peng Y. Multi-omics data integration reveals the complexity and diversity of host factors associated with influenza virus infection. PeerJ 2023; 11:e16194. [PMID: 37842064 PMCID: PMC10569165 DOI: 10.7717/peerj.16194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 09/06/2023] [Indexed: 10/17/2023] Open
Abstract
Influenza viruses pose a significant and ongoing threat to human health. Many host factors have been identified to be associated with influenza virus infection. However, there is currently a lack of an integrated resource for these host factors. This study integrated human genes and proteins associated with influenza virus infections for 14 subtypes of influenza A viruses, as well as influenza B and C viruses, and built a database named H2Flu to store and organize these genes or proteins. The database includes 28,639 differentially expressed genes (DEGs), 1,850 differentially expressed proteins, and 442 proteins with differential posttranslational modifications after influenza virus infection, as well as 3,040 human proteins that interact with influenza virus proteins and 57 human susceptibility genes. Further analysis showed that the dynamic response of human cells to virus infection, cell type and strain specificity contribute significantly to the diversity of DEGs. Additionally, large heterogeneity was also observed in protein-protein interactions between humans and different types or subtypes of influenza viruses. Overall, the study deepens our understanding of the diversity and complexity of interactions between influenza viruses and humans, and provides a valuable resource for further studies on such interactions.
Collapse
Affiliation(s)
- Zhaozhong Zhu
- College of Biology, Hunan University, Changsha, China
- School of Public Health, University of South China, Hengyang, China
| | - Ruina You
- College of Biology, Hunan University, Changsha, China
| | - Huiru Li
- College of Biology, Hunan University, Changsha, China
| | - Shuidong Feng
- School of Public Health, University of South China, Hengyang, China
| | - Huan Ma
- College of Biology, Hunan University, Changsha, China
| | - Chaohao Tuo
- College of Biology, Hunan University, Changsha, China
| | | | - Song Feng
- Xiangya Hospital, Central South University, Changsha, China
| | - Yousong Peng
- College of Biology, Hunan University, Changsha, China
| |
Collapse
|
5
|
Schaack GA, Sullivan OM, Mehle A. Identifying Protein-Protein Interactions by Proximity Biotinylation with AirID and splitAirID. Curr Protoc 2023; 3:e702. [PMID: 36939277 PMCID: PMC10031415 DOI: 10.1002/cpz1.702] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/21/2023]
Abstract
Proteins frequently function in high-order complexes. Defining protein-protein interactions is essential to acquiring a full understanding of their activity and regulation. Proximity biotinylation has emerged as a highly specific approach to capture transient and stable interactions in living cells or organisms. Proximity biotinylation exploits promiscuous biotinylating enzymes fused to a bait protein, resulting in the biotinylation of adjacent endogenous proteins. Biotinylated interactors are purified under very strict conditions and identified by mass spectrometry to obtain a high-confidence list of candidate binding partners. AirID is a recently described biotin ligase specifically engineered for proximity labeling. This protocol details proximity biotinylation by AirID, using protein complexes that form during a type I interferon response as an example. It covers the construction and validation of AirID fusion proteins and the enrichment and identification of biotinylated interactors. We describe a variation on the protocol using splitAirID. In this case, AirID is split into two inactive fragments and ligase activity is only restored upon dimerization of the bait proteins. This permits selective detection of proteins that interact with homo- or heterodimeric forms of the bait. The protocol considers design strategies, optimization, and the properties of different biotin ligases to identify optimal conditions for each experimental question. We also discuss common pitfalls and how to troubleshoot them. These approaches allow proximity biotinylation to be a powerful tool for defining protein interactomes. © 2023 The Authors. Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Construction and functional validation of AirID fusion proteins Alternate Protocol: Construction and functional validation of splitAirID fusion proteins Support Protocol: Western blot for biotinylated proteins Basic Protocol 2: Biotinylation, enrichment, and identification of protein interactors.
Collapse
Affiliation(s)
| | | | - Andrew Mehle
- Department of Medical Microbiology & Immunology, University of Wisconsin – Madison, Madison, WI 53706, USA
| |
Collapse
|
6
|
Host factors involved in influenza virus infection. Emerg Top Life Sci 2020; 4:389-398. [PMID: 33210707 DOI: 10.1042/etls20200232] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Revised: 10/14/2020] [Accepted: 10/30/2020] [Indexed: 12/17/2022]
Abstract
Influenza virus causes an acute febrile respiratory disease in humans that is commonly known as 'flu'. Influenza virus has been around for centuries and is one of the most successful, and consequently most studied human viruses. This has generated tremendous amount of data and information, thus it is pertinent to summarise these for, particularly interdisciplinary readers. Viruses are acellular organisms and exist at the interface of living and non-living. Due to this unique characteristic, viruses require another organism, i.e. host to survive. Viruses multiply inside the host cell and are obligate intracellular pathogens, because their relationship with the host is almost always harmful to host. In mammalian cells, the life cycle of a virus, including influenza is divided into five main steps: attachment, entry, synthesis, assembly and release. To complete these steps, some viruses, e.g. influenza utilise all three parts - plasma membrane, cytoplasm and nucleus, of the cell; whereas others, e.g. SARS-CoV-2 utilise only plasma membrane and cytoplasm. Hence, viruses interact with numerous host factors to complete their life cycle, and these interactions are either exploitative or antagonistic in nature. The host factors involved in the life cycle of a virus could be divided in two broad categories - proviral and antiviral. This perspective has endeavoured to assimilate the information about the host factors which promote and suppress influenza virus infection. Furthermore, an insight into host factors that play a dual role during infection or contribute to influenza virus-host adaptation and disease severity has also been provided.
Collapse
|
7
|
Affiliation(s)
- Cason R. King
- Medical Microbiology and Immunology, University of Wisconsin–Madison, Madison, Wisconsin, United States of America
| | - Andrew Mehle
- Medical Microbiology and Immunology, University of Wisconsin–Madison, Madison, Wisconsin, United States of America
- * E-mail:
| |
Collapse
|
8
|
Tran V, Ledwith MP, Thamamongood T, Higgins CA, Tripathi S, Chang MW, Benner C, García-Sastre A, Schwemmle M, Boon ACM, Diamond MS, Mehle A. Influenza virus repurposes the antiviral protein IFIT2 to promote translation of viral mRNAs. Nat Microbiol 2020; 5:1490-1503. [PMID: 32839537 PMCID: PMC7677226 DOI: 10.1038/s41564-020-0778-x] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Accepted: 07/21/2020] [Indexed: 12/26/2022]
Abstract
Cells infected by influenza virus mount a large-scale antiviral response and most cells ultimately initiate cell-death pathways in an attempt to suppress viral replication. We performed a CRISPR-Cas9-knockout selection designed to identify host factors required for replication after viral entry. We identified a large class of presumptive antiviral factors that unexpectedly act as important proviral enhancers during influenza virus infection. One of these, IFIT2, is an interferon-stimulated gene with well-established antiviral activity but limited mechanistic understanding. As opposed to suppressing infection, we show in the present study that IFIT2 is instead repurposed by influenza virus to promote viral gene expression. CLIP-seq demonstrated that IFIT2 binds directly to viral and cellular messenger RNAs in AU-rich regions, with bound cellular transcripts enriched in interferon-stimulated mRNAs. Polysome and ribosome profiling revealed that IFIT2 prevents ribosome pausing on bound mRNAs. Together, the data link IFIT2 binding to enhanced translational efficiency for viral and cellular mRNAs and ultimately viral replication. Our findings establish a model for the normal function of IFIT2 as a protein that increases translation of cellular mRNAs to support antiviral responses and explain how influenza virus uses this same activity to redirect a classically antiviral protein into a proviral effector.
Collapse
Affiliation(s)
- Vy Tran
- Medical Microbiology and Immunology, University of Wisconsin Madison, Madison, WI, USA
| | - Mitchell P Ledwith
- Medical Microbiology and Immunology, University of Wisconsin Madison, Madison, WI, USA
| | - Thiprampai Thamamongood
- Institute of Virology, Medical Center, University of Freiburg, Freiburg, Germany.,Faculty of Medicine, University of Freiburg, Freiburg, Germany.,Spemann Graduate School of Biology and Medicine, University of Freiburg, Freiburg, Germany.,Faculty of Biology, University of Freiburg, Freiburg, Germany
| | - Christina A Higgins
- Medical Microbiology and Immunology, University of Wisconsin Madison, Madison, WI, USA
| | - Shashank Tripathi
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Max W Chang
- Department of Medicine, University of California, San Diego, San Diego, CA, USA
| | - Christopher Benner
- Department of Medicine, University of California, San Diego, San Diego, CA, USA
| | - Adolfo García-Sastre
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Medicine, Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Martin Schwemmle
- Institute of Virology, Medical Center, University of Freiburg, Freiburg, Germany.,Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Adrianus C M Boon
- Departments of Medicine, Molecular Microbiology, and Pathology & Immunology, Washington University School of Medicine, St. Louis, MO, USA
| | - Michael S Diamond
- Departments of Medicine, Molecular Microbiology, and Pathology & Immunology, Washington University School of Medicine, St. Louis, MO, USA
| | - Andrew Mehle
- Medical Microbiology and Immunology, University of Wisconsin Madison, Madison, WI, USA.
| |
Collapse
|
9
|
Influenza A Virus: Host–Virus Relationships. Viruses 2020; 12:v12080870. [PMID: 32784813 PMCID: PMC7472137 DOI: 10.3390/v12080870] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2020] [Accepted: 08/04/2020] [Indexed: 11/16/2022] Open
|