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Wang J, Luo Y, Katiyar H, Liang C, Liu Q. The Antiviral Activity of Interferon-Induced Transmembrane Proteins and Virus Evasion Strategies. Viruses 2024; 16:734. [PMID: 38793616 PMCID: PMC11125860 DOI: 10.3390/v16050734] [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: 04/12/2024] [Revised: 05/01/2024] [Accepted: 05/03/2024] [Indexed: 05/26/2024] Open
Abstract
Interferons (IFNs) are antiviral cytokines that defend against viral infections by inducing the expression of interferon-stimulated genes (ISGs). Interferon-inducible transmembrane proteins (IFITMs) 1, 2, and 3 are crucial ISG products and members of the CD225 protein family. Compelling evidence shows that IFITMs restrict the infection of many unrelated viruses by inhibiting the virus-cell membrane fusion at the virus entry step via the modulation of lipid composition and membrane properties. Meanwhile, viruses can evade IFITMs' restrictions by either directly interacting with IFITMs via viral glycoproteins or by altering the native entry pathway. At the same time, cumulative evidence suggests context-dependent and multifaceted roles of IFITMs in modulating virus infections and cell signaling. Here, we review the diverse antiviral mechanisms of IFITMs, the viral antagonizing strategies, and the regulation of IFITM activity in host cells. The mechanisms behind the antiviral activity of IFITMs could aid the development of broad-spectrum antivirals and enhance preparedness for future pandemics.
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Affiliation(s)
- Jingjing Wang
- Institute of Parasitology, McGill University, Ste Anne de Bellevue, QC H9X 3V9, Canada; (J.W.); (Y.L.)
| | - Yuhang Luo
- Institute of Parasitology, McGill University, Ste Anne de Bellevue, QC H9X 3V9, Canada; (J.W.); (Y.L.)
| | - Harshita Katiyar
- McGill Center for Viral Diseases, Lady Davis Institute, Montreal, QC H3T 1E2, Canada; (H.K.); (C.L.)
- Division of Experimental Medicine, McGill University, Montreal, QC H4A 3J1, Canada
| | - Chen Liang
- McGill Center for Viral Diseases, Lady Davis Institute, Montreal, QC H3T 1E2, Canada; (H.K.); (C.L.)
- Division of Experimental Medicine, McGill University, Montreal, QC H4A 3J1, Canada
| | - Qian Liu
- Institute of Parasitology, McGill University, Ste Anne de Bellevue, QC H9X 3V9, Canada; (J.W.); (Y.L.)
- McGill Center for Viral Diseases, Lady Davis Institute, Montreal, QC H3T 1E2, Canada; (H.K.); (C.L.)
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2
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Xie J, Cheng J, Ko H, Tang Y. Cytosolic DNA sensors in neurodegenerative diseases: from physiological defenders to pathological culprits. EMBO Mol Med 2024; 16:678-699. [PMID: 38467840 PMCID: PMC11018843 DOI: 10.1038/s44321-024-00046-w] [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: 10/11/2023] [Revised: 02/13/2024] [Accepted: 02/19/2024] [Indexed: 03/13/2024] Open
Abstract
Cytosolic DNA sensors are a group of pattern recognition receptors (PRRs) that vary in structures, molecular mechanisms, and origins but share a common function to detect intracellular microbial DNA and trigger the innate immune response like type 1 interferon production and autophagy. Cytosolic DNA sensors have been proven as indispensable defenders against the invasion of many pathogens; however, growing evidence shows that self-DNA misplacement to cytoplasm also frequently occurs in non-infectious circumstances. Accumulation of cytosolic DNA causes improper activation of cytosolic DNA sensors and triggers an abnormal autoimmune response, that significantly promotes pathological progression. Neurodegenerative diseases are a group of neurological disorders characterized by neuron loss and still lack effective treatments due to a limited understanding of pathogenesis. But current research has found a solid relationship between neurodegenerative diseases and cytosolic DNA sensing pathways. This review summarizes profiles of several major cytosolic DNA sensors and their common adaptor protein STING. It also discusses both the beneficial and detrimental roles of cytosolic DNA sensors in the genesis and progression of neurodegenerative diseases.
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Affiliation(s)
- Jiatian Xie
- Department of Neurology, Sun Yat-Sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, China
- Brain Research Center, Sun Yat-sen Memorial Hospital, Sun Yat‑sen University, Guangzhou, 510120, China
- Nanhai Translational Innovation Center of Precision Immunology, Sun Yat-sen Memorial Hospital, Foshan, 528200, China
| | - Jinping Cheng
- Department of Neurology, Sun Yat-Sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, China
- Brain Research Center, Sun Yat-sen Memorial Hospital, Sun Yat‑sen University, Guangzhou, 510120, China
- Nanhai Translational Innovation Center of Precision Immunology, Sun Yat-sen Memorial Hospital, Foshan, 528200, China
| | - Ho Ko
- Division of Neurology, Department of Medicine and Therapeutics & Li Ka Shing Institute of Health Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong, China
| | - Yamei Tang
- Department of Neurology, Sun Yat-Sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, China.
- Brain Research Center, Sun Yat-sen Memorial Hospital, Sun Yat‑sen University, Guangzhou, 510120, China.
- Nanhai Translational Innovation Center of Precision Immunology, Sun Yat-sen Memorial Hospital, Foshan, 528200, China.
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3
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Grismer TS, Karundasa SS, Shrestha R, Byun D, Ni W, Reyes AV, Xu SL. Workflow enhancement of TurboID-mediated proximity labeling for SPY signaling network mapping. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.17.580820. [PMID: 38405906 PMCID: PMC10888891 DOI: 10.1101/2024.02.17.580820] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
TurboID-based proximity labeling coupled to mass spectrometry (PL-MS) has emerged as a powerful tool for mapping protein-protein interactions in both plant and animal systems. Despite advances in sensitivity, PL-MS studies can still suffer from false negatives, especially when dealing with low abundance bait proteins and their transient interactors. Protein-level enrichment for biotinylated proteins is well developed and popular, but direct detection of biotinylated proteins by peptide-level enrichment and the difference in results between direct and indirect detection remain underexplored. To address this gap, we compared and improved enrichment and data analysis methods using TurboID fused to SPY, a low-abundance O-fucose transferase, using an AAL-enriched SPY target library for cross-referencing. Our results showed that MyOne and M280 streptavidin beads significantly outperformed antibody beads for peptide-level enrichment, with M280 performing best. In addition, while a biotin concentration ≤ 50 μM is recommended for protein-level enrichment in plants, higher biotin concentrations can be used for peptide-level enrichment, allowing us to improve detection and data quality. FragPipe's MSFragger protein identification and quantification software outperformed Maxquant and Protein Prospector for SPY interactome enrichment due to its superior detection of biotinylated peptides. Our improved washing protocols for protein-level enrichment mitigated bead collapse issues, improving data quality, and reducing experimental time. We found that the two enrichment methods provided complementary results and identified a total of 160 SPY-TurboID-enriched interactors, including 60 previously identified in the AAL-enriched SPY target list and 100 additional novel interactors. SILIA quantitative proteomics comparing WT and spy-4 mutants showed that SPY affects the protein levels of some of the identified interactors, such as nucleoporin proteins. We expect that our improvement will extend beyond TurboID to benefit other PL systems and hold promise for broader applications in biological research.
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Affiliation(s)
- TaraBryn S Grismer
- Division of biosphere science and engineering, Carnegie Institution for Science, Stanford, California, USA
- Carnegie Mass Spectrometry Facility, Carnegie Institution for Science, Stanford, California, USA
| | - Sumudu S Karundasa
- Division of biosphere science and engineering, Carnegie Institution for Science, Stanford, California, USA
| | - Ruben Shrestha
- Division of biosphere science and engineering, Carnegie Institution for Science, Stanford, California, USA
| | - Danbi Byun
- Division of biosphere science and engineering, Carnegie Institution for Science, Stanford, California, USA
| | - Weimin Ni
- Division of biosphere science and engineering, Carnegie Institution for Science, Stanford, California, USA
| | - Andres V Reyes
- Division of biosphere science and engineering, Carnegie Institution for Science, Stanford, California, USA
- Carnegie Mass Spectrometry Facility, Carnegie Institution for Science, Stanford, California, USA
| | - Shou-Ling Xu
- Division of biosphere science and engineering, Carnegie Institution for Science, Stanford, California, USA
- Carnegie Mass Spectrometry Facility, Carnegie Institution for Science, Stanford, California, USA
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4
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Fang L, Hao Y, Yu H, Gu X, Peng Q, Zhuo H, Li Y, Liu Z, Wang J, Chen Y, Zhang J, Tian H, Gao Y, Gao R, Teng H, Shan Z, Zhu J, Li Z, Liu Y, Zhang Y, Yu F, Lin Z, Hao Y, Ge X, Yuan J, Hu HG, Ma Y, Qin HL, Wang P. Methionine restriction promotes cGAS activation and chromatin untethering through demethylation to enhance antitumor immunity. Cancer Cell 2023; 41:1118-1133.e12. [PMID: 37267951 DOI: 10.1016/j.ccell.2023.05.005] [Citation(s) in RCA: 26] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Revised: 01/08/2023] [Accepted: 05/08/2023] [Indexed: 06/04/2023]
Abstract
Cyclic GMP-AMP synthase (cGAS) is the major sensor for cytosolic DNA and activates type I interferon signaling and plays an essential role in antitumor immunity. However, it remains unclear whether the cGAS-mediated antitumor activity is affected by nutrient status. Here, our study reports that methionine deprivation enhances cGAS activity by blocking its methylation, which is catalyzed by methyltransferase SUV39H1. We further show that methylation enhances the chromatin sequestration of cGAS in a UHRF1-dependent manner. Blocking cGAS methylation enhances cGAS-mediated antitumor immunity and suppresses colorectal tumorigenesis. Clinically, cGAS methylation in human cancers correlates with poor prognosis. Thus, our results indicate that nutrient stress promotes cGAS activation via reversible methylation, and suggest a potential therapeutic strategy for targeting cGAS methylation in cancer treatment.
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Affiliation(s)
- Lan Fang
- Tongji University Cancer Center, Shanghai Tenth People's Hospital, School of Medicine, Shanghai 200072, China.
| | - Yun Hao
- Tongji University Cancer Center, Shanghai Tenth People's Hospital, School of Medicine, Shanghai 200072, China
| | - Haihong Yu
- Tongji University Cancer Center, Shanghai Tenth People's Hospital, School of Medicine, Shanghai 200072, China
| | - Xuemei Gu
- Tongji University Cancer Center, Shanghai Tenth People's Hospital, School of Medicine, Shanghai 200072, China
| | - Qiao Peng
- Tongji University Cancer Center, Shanghai Tenth People's Hospital, School of Medicine, Shanghai 200072, China
| | - Huimin Zhuo
- Tongji University Cancer Center, Shanghai Tenth People's Hospital, School of Medicine, Shanghai 200072, China
| | - Yaxu Li
- Tongji University Cancer Center, Shanghai Tenth People's Hospital, School of Medicine, Shanghai 200072, China
| | - Zhiyuan Liu
- Tongji University Cancer Center, Shanghai Tenth People's Hospital, School of Medicine, Shanghai 200072, China
| | - Jia Wang
- Tongji University Cancer Center, Shanghai Tenth People's Hospital, School of Medicine, Shanghai 200072, China
| | - Yunfei Chen
- Tongji University Cancer Center, Shanghai Tenth People's Hospital, School of Medicine, Shanghai 200072, China
| | - Jiawen Zhang
- Tongji University Cancer Center, Shanghai Tenth People's Hospital, School of Medicine, Shanghai 200072, China
| | - Hongling Tian
- Tongji University Cancer Center, Shanghai Tenth People's Hospital, School of Medicine, Shanghai 200072, China
| | - Yaohui Gao
- Tongji University Cancer Center, Shanghai Tenth People's Hospital, School of Medicine, Shanghai 200072, China
| | - Renyuan Gao
- Tongji University Cancer Center, Shanghai Tenth People's Hospital, School of Medicine, Shanghai 200072, China
| | - Hongqi Teng
- Tongji University Cancer Center, Shanghai Tenth People's Hospital, School of Medicine, Shanghai 200072, China
| | - Zezhi Shan
- Tongji University Cancer Center, Shanghai Tenth People's Hospital, School of Medicine, Shanghai 200072, China
| | - Jiali Zhu
- Tongji University Cancer Center, Shanghai Tenth People's Hospital, School of Medicine, Shanghai 200072, China
| | - Zhiqiang Li
- Tongji University Cancer Center, Shanghai Tenth People's Hospital, School of Medicine, Shanghai 200072, China
| | - Yu'e Liu
- Tongji University Cancer Center, Shanghai Tenth People's Hospital, School of Medicine, Shanghai 200072, China
| | - Yiyi Zhang
- Tongji University Cancer Center, Shanghai Tenth People's Hospital, School of Medicine, Shanghai 200072, China
| | - Fei Yu
- Institute of Nuclear Medicine, Tongji University School of Medicine, Shanghai 200072, China
| | - Zhang Lin
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Jiao Tong University School of Medicine, Shanghai 200032, China
| | - Yujun Hao
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Jiao Tong University School of Medicine, Shanghai 200032, China
| | - Xin Ge
- Tongji University Cancer Center, Shanghai Tenth People's Hospital, School of Medicine, Shanghai 200072, China
| | - Jian Yuan
- Tongji University Cancer Center, Shanghai Tenth People's Hospital, School of Medicine, Shanghai 200072, China
| | - Hong-Gang Hu
- Insititute of Translational Medicine, Shanghai University, Shanghai 200433, China
| | - Yanlei Ma
- Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China
| | - Huan-Long Qin
- Tongji University Cancer Center, Shanghai Tenth People's Hospital, School of Medicine, Shanghai 200072, China
| | - Ping Wang
- Tongji University Cancer Center, Shanghai Tenth People's Hospital, School of Medicine, Shanghai 200072, China.
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Abstract
Proteins are workhorses in the cell; they form stable and more often dynamic, transient protein-protein interactions, assemblies, and networks and have an intimate interplay with DNA and RNA. These network interactions underlie fundamental biological processes and play essential roles in cellular function. The proximity-dependent biotinylation labeling approach combined with mass spectrometry (PL-MS) has recently emerged as a powerful technique to dissect the complex cellular network at the molecular level. In PL-MS, by fusing a genetically encoded proximity-labeling (PL) enzyme to a protein or a localization signal peptide, the enzyme is targeted to a protein complex of interest or to an organelle, allowing labeling of proximity proteins within a zoom radius. These biotinylated proteins can then be captured by streptavidin beads and identified and quantified by mass spectrometry. Recently engineered PL enzymes such as TurboID have a much-improved enzymatic activity, enabling spatiotemporal mapping with a dramatically increased signal-to-noise ratio. PL-MS has revolutionized the way we perform proteomics by overcoming several hurdles imposed by traditional technology, such as biochemical fractionation and affinity purification mass spectrometry. In this review, we focus on biotin ligase-based PL-MS applications that have been, or are likely to be, adopted by the plant field. We discuss the experimental designs and review the different choices for engineered biotin ligases, enrichment, and quantification strategies. Lastly, we review the validation and discuss future perspectives.
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Affiliation(s)
- Shou-Ling Xu
- Department of Plant Biology, Carnegie Institution for Science, Stanford, California, USA;
- Carnegie Mass Spectrometry Facility, Carnegie Institution for Science, Stanford, California, USA
| | - Ruben Shrestha
- Department of Plant Biology, Carnegie Institution for Science, Stanford, California, USA;
| | - Sumudu S Karunadasa
- Department of Plant Biology, Carnegie Institution for Science, Stanford, California, USA;
| | - Pei-Qiao Xie
- Department of Plant Biology, Carnegie Institution for Science, Stanford, California, USA;
- Department of Molecular and Cell Biology, University of California, Berkeley, California, USA
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6
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Wu Z, Tang W, Ibrahim FEEM, Chen X, Yan H, Tao C, Wang Z, Guo Y, Fu Y, Wang Q, Ge Y. Aβ Induces Neuroinflammation and Microglial M1 Polarization via cGAS-STING-IFITM3 Signaling Pathway in BV-2 Cells. Neurochem Res 2023:10.1007/s11064-023-03945-5. [PMID: 37210413 DOI: 10.1007/s11064-023-03945-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Revised: 04/14/2023] [Accepted: 04/28/2023] [Indexed: 05/22/2023]
Abstract
Microglia, innate immune cells of the brain, constantly monitor the dynamic changes of the brain microenvironment under physiological conditions and respond in time. Growing evidence suggests that microglia-mediated neuroinflammation plays an important role in the pathogenesis of Alzheimer's disease. In this study, we investigated that the expression of IFITM3 was significantly upregulated in microglia under the Aβ treatment, and knockdown of IFITM3 in vitro suppressed the M1-like polarization of microglia. Moreover, IFITM3 was regulated by cGAS-STING signaling in activated microglia, and inhibition of cGAS-STING signaling reduces IFITM3 expression. Taken together, our findings suggested that the cGAS-STING-IFITM3 axis may be involved in Aβ-induced neuroinflammation in microglia.
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Affiliation(s)
- Zheng Wu
- Department of Neurology, The Second Hospital of Dalian Medical University, No. 467 Zhongshan Road, Shahekou District, Dalian City, 116023, Liaoning Province, China
| | - Wei Tang
- Department of Anatomy, College of Basic Medicine, Dalian Medical University, Dalian City, China
| | - Fatima Elzahra E M Ibrahim
- Department of Neurology, The Second Hospital of Dalian Medical University, No. 467 Zhongshan Road, Shahekou District, Dalian City, 116023, Liaoning Province, China
| | - Xuejing Chen
- Department of Neurology, The Second Hospital of Dalian Medical University, No. 467 Zhongshan Road, Shahekou District, Dalian City, 116023, Liaoning Province, China
| | - Hongting Yan
- Department of Neurology, The Second Hospital of Dalian Medical University, No. 467 Zhongshan Road, Shahekou District, Dalian City, 116023, Liaoning Province, China
| | - Chunmei Tao
- Department of Neurology, The Second Hospital of Dalian Medical University, No. 467 Zhongshan Road, Shahekou District, Dalian City, 116023, Liaoning Province, China
| | - Zhiming Wang
- Department of Neurology, The Second Hospital of Dalian Medical University, No. 467 Zhongshan Road, Shahekou District, Dalian City, 116023, Liaoning Province, China
| | - Yunchu Guo
- Department of Neurology, The Second Hospital of Dalian Medical University, No. 467 Zhongshan Road, Shahekou District, Dalian City, 116023, Liaoning Province, China
| | - Yu Fu
- Department of Neurology, The Second Hospital of Dalian Medical University, No. 467 Zhongshan Road, Shahekou District, Dalian City, 116023, Liaoning Province, China
| | - Qi Wang
- Department of Respiratory Medicine, The Second Hospital of Dalian Medical University, No. 467 Zhongshan Road, Shahekou District, Dalian City, 116023, Liaoning Province, China.
| | - Yusong Ge
- Department of Neurology, The Second Hospital of Dalian Medical University, No. 467 Zhongshan Road, Shahekou District, Dalian City, 116023, Liaoning Province, China.
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7
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Ye R, Lin Z, Liu KH, Sheen J, Chen S. Dynamic Proximity Tagging in Living Plant Cells with Pupylation-Based Interaction Tagging. Methods Mol Biol 2023; 2690:137-147. [PMID: 37450145 DOI: 10.1007/978-1-0716-3327-4_14] [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: 07/18/2023]
Abstract
Identification of protein-protein interactions (PPIs) and protein kinase substrates is fundamental for understanding how proteins exert biological functions with their partners and targets. However, it is still technically challenging, especially for transient and weak interactions involved in most cellular processes. The proximity-tagging systems enable capturing snapshots of both stable and transient PPIs. In this chapter, we describe in detail the methodology of a novel proximity-based labeling approach, PUP-IT (pupylation-based interaction tagging), to identify PPIs using a protoplast transient expression system. We have successfully identified potential kinase substrates by targeted screening and tandem mass spectrometry analysis.
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Affiliation(s)
- Ruiqiang Ye
- Department of Molecular Biology and Centre for Computational and Integrative Biology, Massachusetts General Hospital, and Department of Genetics, Harvard Medical School, Boston, MA, USA.
- CAS Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, China.
| | - Zhuoran Lin
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Life Sciences, and Institute of Future Agriculture, Northwest Agriculture & Forestry University, Yangling, Shaanxi, China
| | - Kun-Hsaing Liu
- Department of Molecular Biology and Centre for Computational and Integrative Biology, Massachusetts General Hospital, and Department of Genetics, Harvard Medical School, Boston, MA, USA
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Life Sciences, and Institute of Future Agriculture, Northwest Agriculture & Forestry University, Yangling, Shaanxi, China
| | - Jen Sheen
- Department of Molecular Biology and Centre for Computational and Integrative Biology, Massachusetts General Hospital, and Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Sixue Chen
- Department of Biology, University of Mississippi, Oxford, MS, USA.
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The Golgi-resident protein ACBD3 concentrates STING at ER-Golgi contact sites to drive export from the ER. Cell Rep 2022; 41:111868. [PMID: 36543137 DOI: 10.1016/j.celrep.2022.111868] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Revised: 10/27/2022] [Accepted: 11/30/2022] [Indexed: 12/24/2022] Open
Abstract
STING, an endoplasmic reticulum (ER)-resident receptor for cyclic di-nucleotides (CDNs), is essential for innate immune responses. Upon CDN binding, STING moves from the ER to the Golgi, where it activates downstream type-I interferon (IFN) signaling. General cargo proteins exit from the ER via concentration at ER exit sites. However, the mechanism of STING concentration is poorly understood. Here, we visualize the ER exit sites of STING by blocking its transport at low temperature or by live-cell imaging with the cell-permeable ligand bis-pivSATE-2'F-c-di-dAMP, which we have developed. After ligand binding, STING forms punctate foci at non-canonical ER exit sites. Unbiased proteomic screens and super-resolution microscopy show that the Golgi-resident protein ACBD3/GCP60 recognizes and concentrates ligand-bound STING at specialized ER-Golgi contact sites. Depletion of ACBD3 impairs STING ER-to-Golgi trafficking and type-I IFN responses. Our results identify the ACBD3-mediated non-canonical cargo concentration system that drives the ER exit of STING.
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9
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Studying the ubiquitin code through biotin-based labelling methods. Semin Cell Dev Biol 2022; 132:109-119. [PMID: 35181195 DOI: 10.1016/j.semcdb.2022.02.009] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 02/03/2022] [Accepted: 02/05/2022] [Indexed: 12/15/2022]
Abstract
Post-translational modifications of cellular substrates by members of the ubiquitin (Ub) and ubiquitin-like (UbL) family are crucial for regulating protein homeostasis in organisms. The term "ubiquitin code" encapsulates how this diverse family of modifications, via adding single UbLs or different types of UbL chains, leads to specific fates for substrates. Cancer, neurodegeneration and other conditions are sometimes linked to underlying errors in this code. Studying these modifications in cells is particularly challenging since they are usually transient, scarce, and compartment-specific. Advances in the use of biotin-based methods to label modified proteins, as well as their proximally-located interactors, facilitate isolation and identification of substrates, modification sites, and the enzymes responsible for writing and erasing these modifications, as well as factors recruited as a consequence of the substrate being modified. In this review, we discuss site-specific and proximity biotinylation approaches being currently applied for studying modifications by UbLs, highlighting the pros and cons, with mention of complementary methods when possible. Future improvements may come from bioengineering and chemical biology but even now, biotin-based technology is uncovering new substrates and regulators, expanding potential therapeutic targets to manipulate the Ub code.
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10
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IFITM proteins: Understanding their diverse roles in viral infection, cancer, and immunity. J Biol Chem 2022; 299:102741. [PMID: 36435199 PMCID: PMC9800550 DOI: 10.1016/j.jbc.2022.102741] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 09/27/2022] [Accepted: 11/15/2022] [Indexed: 11/24/2022] Open
Abstract
Interferon-induced transmembrane proteins (IFITMs) are broad spectrum antiviral factors that inhibit the entry of a wide range of clinically important pathogens including influenza A virus, HIV-1, and Dengue virus. IFITMs are thought to act primarily by antagonizing virus-cell membrane fusion in this regard. However, recent work on these proteins has uncovered novel post-entry viral restriction mechanisms. IFITMs are also increasingly thought to have a role regulating immune responses, including innate antiviral and inflammatory responses as well as adaptive T-cell and B-cell responses. Further, IFITMs may have pathological activities in cancer, wherein IFITM expression can be a marker of therapeutically resistant and aggressive disease courses. In this review, we summarize the respective literatures concerning these apparently diverse functions with a view to identifying common themes and potentially yielding a more unified understanding of IFITM biology.
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11
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Polo-Like Kinase 2 Plays an Essential Role in Cytoprotection against MG132-Induced Proteasome Inhibition via Phosphorylation of Serine 19 in HSPB5. Int J Mol Sci 2022; 23:ijms231911257. [PMID: 36232565 PMCID: PMC9569985 DOI: 10.3390/ijms231911257] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Revised: 08/27/2022] [Accepted: 09/10/2022] [Indexed: 11/17/2022] Open
Abstract
Protein homeostasis, including protein folding, refolding, and degradation, is thought to decline with aging. HSPB5 (also known as αB-crystallin) prevents target protein aggregation as a molecular chaperone and exhibits a cytoprotective function against various cell stresses. To elucidate the effect of HSPB5 on endoplasmic reticulum (ER) stress, we searched for novel binding proteins of HSPB5 using the proximity-dependent biotin labeling method. Proteins presumed to interact with HSPB5 in cells treated with the proteasome inhibitor MG132 were identified by a reversible biotin-binding capacity method combining tamavidin2-REV magnetic beads and mass spectrometry. We discovered a new binding protein for HSPB5, polo-like kinase 2 (PLK2), which is an apoptosis-related enzyme. The expression of PLK2 was upregulated by MG132 treatment, and it was co-localized with HSPB5 near the ER in L6 muscle cells. Inhibition of PLK2 decreased ER stress-induced phosphorylation of serine 19 in HSPB5 and increased apoptosis by activation of caspase 3 under ER stress. Overexpression of HSPB5 (WT) suppressed the ER stress-induced caspase 3 activity, but this was not observed with phospho-deficient HSPB5 (3A) mutants. These results clarify the role of HSPB5 phosphorylation during ER stress and suggest that the PLK2/HSPB5 pathway plays an essential role in cytoprotection against proteasome inhibition-induced ER stress.
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12
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Nishino K, Yoshikawa H, Motani K, Kosako H. Optimized Workflow for Enrichment and Identification of Biotinylated Peptides Using Tamavidin 2-REV for BioID and Cell Surface Proteomics. J Proteome Res 2022; 21:2094-2103. [PMID: 35979633 DOI: 10.1021/acs.jproteome.2c00130] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Chemical or enzymatic biotinylation of proteins is widely used in various studies, and proximity-dependent biotinylation coupled to mass spectrometry is a powerful approach for analyzing protein-protein interactions in living cells. We recently developed a simple method to enrich biotinylated peptides using Tamavidin 2-REV, an engineered avidin-like protein with reversible biotin-binding capability. However, the level of biotinylated proteins in cells is low; therefore, large amounts of cellular proteins were required to detect biotinylated peptides. In addition, the enriched biotinylated peptide solution contained many contaminant ions. Here, we optimized the workflow for efficient enrichment of biotinylated peptides and removal of contaminant ions. The efficient recovery of biotinylated peptides with fewer contaminant ions was achieved by heat inactivation of trypsin, prewashing Tamavidin 2-REV beads, clean-up of biotin solution, mock elution, and using optimal temperature and salt concentration for elution. The optimized workflow enabled identification of nearly 4-fold more biotinylated peptides with higher purity from RAW264.7 macrophages expressing TurboID-fused STING (stimulator of interferon genes). In addition, sequential digestion with Glu-C and trypsin revealed biotinylation sites that were not identified by trypsin digestion alone. Furthermore, the combination of this workflow with TMT labeling enabled large-scale quantification of cell surface proteome changes upon epidermal growth factor (EGF) stimulation. This workflow will be useful for BioID and cell surface proteomics and for various other applications based on protein biotinylation.
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Affiliation(s)
- Kohei Nishino
- Division of Cell Signaling, Fujii Memorial Institute of Medical Sciences, Institute of Advanced Medical Sciences, Tokushima University, Tokushima 770-8503, Japan.,Kuramoto Division, Technical Support Department, Tokushima University, Tokushima 770-8503, Japan
| | - Harunori Yoshikawa
- Division of Cell Signaling, Fujii Memorial Institute of Medical Sciences, Institute of Advanced Medical Sciences, Tokushima University, Tokushima 770-8503, Japan
| | - Kou Motani
- Division of Cell Signaling, Fujii Memorial Institute of Medical Sciences, Institute of Advanced Medical Sciences, Tokushima University, Tokushima 770-8503, Japan
| | - Hidetaka Kosako
- Division of Cell Signaling, Fujii Memorial Institute of Medical Sciences, Institute of Advanced Medical Sciences, Tokushima University, Tokushima 770-8503, Japan
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13
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Proximity labeling methods for proteomic analysis of membrane proteins. J Proteomics 2022; 264:104620. [DOI: 10.1016/j.jprot.2022.104620] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2021] [Revised: 05/09/2022] [Accepted: 05/10/2022] [Indexed: 11/19/2022]
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14
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Zhang R, Kang R, Tang D. STING1 in Different Organelles: Location Dictates Function. Front Immunol 2022; 13:842489. [PMID: 35371032 PMCID: PMC8969013 DOI: 10.3389/fimmu.2022.842489] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Accepted: 02/28/2022] [Indexed: 01/07/2023] Open
Abstract
Stimulator of interferon response cGAMP interactor 1 (STING1), also known as TMEM173, is an immune adaptor protein that governs signal crosstalk that is implicated in many physiological and pathological processes. Although it has been established that STING1 traffics from the endoplasmic reticulum (ER) to Golgi apparatus (Golgi) upon DNA-triggered activation, emerging evidence reveals that STING1 can be transported to different organelles, which dictate its immune-dependent (e.g., the production of type I interferons and pro-inflammatory cytokines) and -independent (e.g., the activation of autophagy and cell death) functions. In this brief review, we outline the roles of STING1 in different organelles (including the ER, ER-Golgi intermediate compartment, Golgi, mitochondria, endosomes, lysosomes, and nucleus) and discuss the potential relevance of these roles to diseases and pharmacological interventions.
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15
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Zhou Y, Fu HC, Wang YY, Huang HZ, Fu XZ, Li NQ. The dynamic immune responses of Mandarin fish (Siniperca chuatsi) to ISKNV in early infection based on full-length transcriptome analysis and weighted gene co-expression network analysis. FISH & SHELLFISH IMMUNOLOGY 2022; 122:191-205. [PMID: 35158068 DOI: 10.1016/j.fsi.2022.02.017] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2021] [Revised: 02/08/2022] [Accepted: 02/10/2022] [Indexed: 05/26/2023]
Abstract
Mandarin fish (Siniperca chuatsi) been seriously harmed by infectious spleen and kidney necrosis virus (ISKNV) in recent years, but the early immune response mechanism of infection is still unknown. Here, we performed RNA sequencing on the spleens of mandarin fish infected with ISKNV at 0, 12, 24, 48, and 72 h post-infection (hpi) using short-read Illumina RNA sequencing and long-read Pacific Biosciences isoform sequencing to generate a full-length transcriptome. The immune responses of mandarin fish infected with ISKNV at the molecular level were characterized by RNA-seq analysis and weighted gene co-expression network analysis (WGCNA). A total of 26,528 full-length transcript sequences were obtained. There were 2,729 (1,680 up-regulated and 1,112 down-regulated), 1,874 (1,136 up-regulated and 738 down-regulated), 2,032 (1,158 up-regulated and 847 down-regulated), and 4,176 (2,233 up-regulated and 1,943 down-regulated) differentially expressed genes (DEGs) in mandarin fish at 12, 24, 48, and 72 hpi, compared with uninfected fish, respectively. A total of four modules of co-expressed DEGs identified by WGCNA were significantly positively correlated to the four time points after infection, respectively. Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis revealed that the immune-related DEGs in all these modules were mainly enriched in Phagosome, Endocytosis, Herpes simplex infection, and Cytokine-cytokine receptor interaction pathways. Further analysis showed that oher signaling pathways, including CAMs, NOD-like receptor and ER protein processing, Intestinal immune network for IgA production, TLR pathway, and Apoptosis significantly enriched in four modules corresponding to 12, 24, 48, and 72 hpi respectively, had specifically participated in the immune response. Hub genes identified based on the high-degree nodes in the WGCN, including CAM3, IL-8, CCL21, STING, SNX1, PFR and TBK1, and some DEGs such as MHCI, MHCII, TfR, STING, TNF α, TBK1, IRF1, and NF-kB, BCR, IgA and Bcl-XL had involved in dynamic molecular response of mandarin fish to ISKNV infection. In sum, this study provides a set of full-length transcriptome of the spleen tissue of mandarin fish for the first time and revealed a group of immune genes and pathways involved in different temporal responses to ISKNV infection, which has implications for resource conservation and aiding the development of strategies to prevent virus early infection for mandarin fish.
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Affiliation(s)
- Yu Zhou
- School of Basic Medicine and Biological Sciences, Fisheries Research Institute, Soochow University, Suzhou, 215123, China
| | - Huang-Cui Fu
- School of Basic Medicine and Biological Sciences, Fisheries Research Institute, Soochow University, Suzhou, 215123, China
| | - Ying-Ying Wang
- School of Basic Medicine and Biological Sciences, Fisheries Research Institute, Soochow University, Suzhou, 215123, China
| | - He-Zhong Huang
- School of Basic Medicine and Biological Sciences, Fisheries Research Institute, Soochow University, Suzhou, 215123, China.
| | - Xiao-Zhe Fu
- Pearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Key Laboratory of Fishery Drug Development, Ministry of Agriculture and Rural Affairs, Key Laboratory of Aquatic Animal Immune Technology, Guangdong Provinces, Guangzhou, 510380, China
| | - Ning-Qiu Li
- Pearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Key Laboratory of Fishery Drug Development, Ministry of Agriculture and Rural Affairs, Key Laboratory of Aquatic Animal Immune Technology, Guangdong Provinces, Guangzhou, 510380, China
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16
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Shioya R, Yamada K, Kido K, Takahashi H, Nozawa A, Kosako H, Sawasaki T. A simple method for labeling proteins and antibodies with biotin using the proximity biotinylation enzyme TurboID. Biochem Biophys Res Commun 2022; 592:54-59. [DOI: 10.1016/j.bbrc.2021.12.109] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Accepted: 12/28/2021] [Indexed: 11/16/2022]
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17
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Ali Z, Sánchez E, Tehseen M, Mahas A, Marsic T, Aman R, Sivakrishna Rao G, Alhamlan FS, Alsanea MS, Al-Qahtani AA, Hamdan S, Mahfouz M. Bio-SCAN: A CRISPR/dCas9-Based Lateral Flow Assay for Rapid, Specific, and Sensitive Detection of SARS-CoV-2. ACS Synth Biol 2022; 11:406-419. [PMID: 34939798 PMCID: PMC8751644 DOI: 10.1021/acssynbio.1c00499] [Citation(s) in RCA: 40] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Indexed: 12/26/2022]
Abstract
Simple, rapid, specific, and sensitive point-of-care detection methods are needed to contain the spread of SARS-CoV-2. CRISPR/Cas9-based lateral flow assays are emerging as a powerful alternative for COVID-19 diagnostics. Here, we developed Bio-SCAN (biotin-coupled specific CRISPR-based assay for nucleic acid detection) as an accurate pathogen detection platform that requires no sophisticated equipment or technical expertise. Bio-SCAN detects the SARS-CoV-2 genome in less than 1 h from sample collection to result. In the first step, the target nucleic acid sequence is isothermally amplified in 15 min via recombinase polymerase amplification before being precisely detected by biotin-labeled nuclease-dead SpCas9 (dCas9) on commercially available lateral flow strips. The resulting readout is visible to the naked eye. Compared to other CRISPR-Cas-based pathogen detection assays, Bio-SCAN requires no additional reporters, probes, enhancers, reagents, or sophisticated devices to interpret the results. Bio-SCAN is highly sensitive and successfully detected a clinically relevant level (4 copies/μL) of synthetic SARS-CoV-2 RNA genome. Similarly, Bio-SCAN showed 100% negative and 96% positive predictive agreement with RT-qPCR results when using clinical samples (86 nasopharyngeal swab samples). Furthermore, incorporating variant-specific sgRNAs in the detection reaction allowed Bio-SCAN to efficiently distinguish between the α, β, and δ SARS-CoV-2 variants. Also, our results confirmed that the Bio-SCAN reagents have a long shelf life and can be assembled locally in nonlaboratory and limited-resource settings. Furthermore, the Bio-SCAN platform is compatible with the nucleic acid quick extraction protocol. Our results highlight the potential of Bio-SCAN as a promising point-of-care diagnostic platform that can facilitate low-cost mass screening for SARS-CoV-2.
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Affiliation(s)
- Zahir Ali
- Laboratory for Genome Engineering and Synthetic
Biology, Division of Biological Sciences, 4700 King Abdullah University of
Science and Technology, Thuwal 23955-6900, Saudi
Arabia
| | - Edith Sánchez
- Laboratory for Genome Engineering and Synthetic
Biology, Division of Biological Sciences, 4700 King Abdullah University of
Science and Technology, Thuwal 23955-6900, Saudi
Arabia
| | - Muhammad Tehseen
- Laboratory of DNA Replication and Recombination,
Biological and Environmental Sciences and Engineering Division, King Abdullah
University of Science and Technology (KAUST), Thuwal 23955-6900,
Saudi Arabia
| | - Ahmed Mahas
- Laboratory for Genome Engineering and Synthetic
Biology, Division of Biological Sciences, 4700 King Abdullah University of
Science and Technology, Thuwal 23955-6900, Saudi
Arabia
| | - Tin Marsic
- Laboratory for Genome Engineering and Synthetic
Biology, Division of Biological Sciences, 4700 King Abdullah University of
Science and Technology, Thuwal 23955-6900, Saudi
Arabia
| | - Rashid Aman
- Laboratory for Genome Engineering and Synthetic
Biology, Division of Biological Sciences, 4700 King Abdullah University of
Science and Technology, Thuwal 23955-6900, Saudi
Arabia
| | - Gundra Sivakrishna Rao
- Laboratory for Genome Engineering and Synthetic
Biology, Division of Biological Sciences, 4700 King Abdullah University of
Science and Technology, Thuwal 23955-6900, Saudi
Arabia
| | - Fatimah Saeed Alhamlan
- Department of Infection and Immunity, King
Faisal Specialist Hospital and Research Center, Riyadh 11211,
Saudi Arabia
| | - Madain S. Alsanea
- Department of Infection and Immunity, King
Faisal Specialist Hospital and Research Center, Riyadh 11211,
Saudi Arabia
| | - Ahmed A. Al-Qahtani
- Department of Infection and Immunity, King
Faisal Specialist Hospital and Research Center, Riyadh 11211,
Saudi Arabia
| | - Samir Hamdan
- Laboratory of DNA Replication and Recombination,
Biological and Environmental Sciences and Engineering Division, King Abdullah
University of Science and Technology (KAUST), Thuwal 23955-6900,
Saudi Arabia
| | - Magdy Mahfouz
- Laboratory for Genome Engineering and Synthetic
Biology, Division of Biological Sciences, 4700 King Abdullah University of
Science and Technology, Thuwal 23955-6900, Saudi
Arabia
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18
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Yamanaka S, Horiuchi Y, Matsuoka S, Kido K, Nishino K, Maeno M, Shibata N, Kosako H, Sawasaki T. A proximity biotinylation-based approach to identify protein-E3 ligase interactions induced by PROTACs and molecular glues. Nat Commun 2022; 13:183. [PMID: 35013300 PMCID: PMC8748630 DOI: 10.1038/s41467-021-27818-z] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2021] [Accepted: 12/02/2021] [Indexed: 12/24/2022] Open
Abstract
Proteolysis-targeting chimaeras (PROTACs) as well as molecular glues such as immunomodulatory drugs (IMiDs) and indisulam are drugs that induce interactions between substrate proteins and an E3 ubiquitin ligases for targeted protein degradation. Here, we develop a workflow based on proximity-dependent biotinylation by AirID to identify drug-induced neo-substrates of the E3 ligase cereblon (CRBN). Using AirID-CRBN, we detect IMiD-dependent biotinylation of CRBN neo-substrates in vitro and identify biotinylated peptides of well-known neo-substrates by mass spectrometry with high specificity and selectivity. Additional analyses reveal ZMYM2 and ZMYM2-FGFR1 fusion protein-responsible for the 8p11 syndrome involved in acute myeloid leukaemia-as CRBN neo-substrates. Furthermore, AirID-DCAF15 and AirID-CRBN biotinylate neo-substrates targeted by indisulam and PROTACs, respectively, suggesting that this approach has the potential to serve as a general strategy for characterizing drug-inducible protein-protein interactions in cells.
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Affiliation(s)
- Satoshi Yamanaka
- Division of Cell-Free Sciences, Proteo-Science Center, Ehime University, Matsuyama, 790-8577, Japan
| | - Yuto Horiuchi
- Division of Cell-Free Sciences, Proteo-Science Center, Ehime University, Matsuyama, 790-8577, Japan
| | - Saya Matsuoka
- Division of Cell-Free Sciences, Proteo-Science Center, Ehime University, Matsuyama, 790-8577, Japan
| | - Kohki Kido
- Division of Cell-Free Sciences, Proteo-Science Center, Ehime University, Matsuyama, 790-8577, Japan
| | - Kohei Nishino
- Division of Cell Signaling, Fujii Memorial Institute of Medical Sciences, Tokushima University, Tokushima, 770-8503, Japan
| | - Mayaka Maeno
- Department of Nanopharmaceutical Sciences, Nagoya Institute of Technology, Nagoya, 466-8555, Japan
| | - Norio Shibata
- Department of Nanopharmaceutical Sciences, Nagoya Institute of Technology, Nagoya, 466-8555, Japan
| | - Hidetaka Kosako
- Division of Cell Signaling, Fujii Memorial Institute of Medical Sciences, Tokushima University, Tokushima, 770-8503, Japan
| | - Tatsuya Sawasaki
- Division of Cell-Free Sciences, Proteo-Science Center, Ehime University, Matsuyama, 790-8577, Japan.
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19
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Identification of MPK4 kinase interactome using TurboID proximity labeling proteomics in Arabidopsis thaliana. Methods Enzymol 2022; 676:369-384. [DOI: 10.1016/bs.mie.2022.06.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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20
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Niinae T, Ishihama Y, Imami K. Biotinylation-based proximity labeling proteomics: Basics, applications, and technical considerations. J Biochem 2021; 170:569-576. [PMID: 34752609 DOI: 10.1093/jb/mvab123] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 11/07/2021] [Indexed: 11/13/2022] Open
Abstract
Recent advances in biotinylation-based proximity labeling (PL) have opened up new avenues for mapping the protein composition of cellular compartments and protein complexes in living cells at high spatiotemporal resolution. In particular, PL combined with mass spectrometry-based proteomics has been successfully applied to defining protein-protein interactions, protein-nucleic acid interactions, (membraneless) organelle proteomes, and secretomes in various systems ranging from cultured cells to whole animals. In this review, we first summarize the basics and recent biological applications of PL proteomics, and then highlight recent developments in enrichment techniques for biotinylated proteins and peptides, focusing on the advantages of PL and technical considerations.
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Affiliation(s)
- Tomoya Niinae
- Department of Molecular and Cellular BioAnalysis, Graduate School of Pharmaceutical Sciences, Kyoto University, Kyoto 606-8501, Japan
| | - Yasushi Ishihama
- Department of Molecular and Cellular BioAnalysis, Graduate School of Pharmaceutical Sciences, Kyoto University, Kyoto 606-8501, Japan.,Laboratory of Clinical and Analytical Chemistry, National Institute of Biomedical Innovation, Health and Nutrition, Ibaraki, Osaka 567-0085, Japan
| | - Koshi Imami
- Department of Molecular and Cellular BioAnalysis, Graduate School of Pharmaceutical Sciences, Kyoto University, Kyoto 606-8501, Japan.,PRESTO, Japan Science and Technology Agency (JST), 5-3 Yonban-cho, Chiyoda-ku, Tokyo, 102-0075, Japan
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21
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Proximity Biotin Labeling Reveals Kaposi's Sarcoma-Associated Herpesvirus Interferon Regulatory Factor Networks. J Virol 2021; 95:JVI.02049-20. [PMID: 33597212 PMCID: PMC8104114 DOI: 10.1128/jvi.02049-20] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2020] [Accepted: 02/10/2021] [Indexed: 01/04/2023] Open
Abstract
Viral protein interaction with a host protein shows at least two sides: (i) taking host protein functions for its own benefit and (ii) disruption of existing host protein complex formation to inhibit undesirable host responses. Due to the use of affinity precipitation approaches, the majority of studies have focused on how the virus takes advantage of the newly formed protein interactions for its own replication. Studies on “hit-and-run” effects by viral proteins are difficult when using traditional affinity precipitation-based techniques under dynamic conditions, because only proteins interacting at a specific instance in time can be precipitated by affinity purification. Recent advances in proximity labeling (PL) have enabled identification of both static and dynamic protein-protein interactions. In this study, we applied a PL method by generating recombinant Kaposi’s sarcoma-associated herpesvirus (KSHV). KSHV, a gammaherpesvirus, uniquely encodes four interferon regulatory factors (IRF-1 to -4) that suppress host interferon responses, and we examined KSHV IRF-1 and IRF-4 neighbor proteins to identify cellular proteins involved in innate immune regulation. PL identified 213 and 70 proteins as neighboring proteins of viral IRF-1 (vIRF-1) and vIRF-4 during viral reactivation, and 47 proteins were shared between the two vIRFs; the list also includes three viral proteins, ORF17, thymidine kinase, and vIRF-4. Functional annotation of respective interacting proteins showed highly overlapping biological roles such as mRNA processing and transcriptional regulation by TP53. Innate immune regulation by these commonly interacting 44 cellular proteins was examined with small interfering RNAs (siRNAs), and the splicing factor 3B family proteins were found to be associated with interferon transcription and to act as suppressors of KSHV reactivation. We propose that recombinant mini-TurboID-KSHV is a powerful tool to probe key cellular proteins that play a role in KSHV replication and that selective splicing factors have a function in the regulation of innate immune responses. IMPORTANCE Viral protein interaction with a host protein shows at least two sides: (i) taking host protein functions for its own benefit and (ii) disruption of existing host protein complex formation to inhibit undesirable host responses. Due to the use of affinity precipitation approaches, the majority of studies have focused on how the virus takes advantage of the newly formed protein interactions for its own replication. Proximity labeling (PL), however, can also highlight transient and negative effects—those interactions which lead to dissociation from the existing protein complex. Here, we highlight the power of PL in combination with recombinant KSHV to study viral host interactions.
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