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      Glycosylation of ALV-J Envelope Protein at Sites 17 and 193 Is Pivotal in the Virus Infection

      research-article
      a , a , b , a , b , c , c , a , b , , a , b ,
      Journal of Virology
      American Society for Microbiology
      ALV-J, envelope protein, function analysis, glycosylation

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          ABSTRACT

          Glycans on envelope glycoprotein (Env) of the subgroup J avian leukosis virus (ALV-J) play an essential role in the virion integrity and infection process. In this study, we found that, among the 13 predicted N-linked glycosylation sites (NGSs) in gp85 of Tibetan chicken strain TBC-J6, N17, and N193/N191 are pivotal for virus replication. Further research illustrated that a mutation at N193 weakened Env-receptor binding in a blocking assay of the viral entrance, coimmunoprecipitation, and ELISA. Our studies also showed that N17 was involved in Env protein processing and later virion incorporation based on the detection of p27 and Env protein in the supernatant and gp37 in the cell culture. This report is systematic research on clarifying the biological function of NGSs on ALV-J gp85, which would provide valuable insight into the role of gp85 in the ALV life cycle and anti-ALV-J strategies.

          IMPORTANCE ALV-J is a retrovirus that can cause multiple types of tumors in chickens. Among all the viral proteins, the heavily glycosylated envelope protein is especially crucial. Glycosylation plays a major role in Env protein function, including protein processing, receptor attachment, and immune evasion. Notably, viruses isolated recently seem to lose their 6 th and 11 th NGS, which proved to be important in receptor binding. In our study, the 1 st (N17) and 8 th (N193) NGS of gp85 of the strain TBC-J6 can largely influence the titer of this virus. Deglycosylation at N193 weakened Env-receptor binding while mutation at N17 influenced Env protein processing. This study systemically analyzed the function of NGSs in ALV-J in different aspects, which may help us to understand the life cycle of ALV-J and provide antiviral targets for the control of ALV-J.

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          Most cited references40

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          NIH Image to ImageJ: 25 years of image analysis

          For the past twenty five years the NIH family of imaging software, NIH Image and ImageJ have been pioneers as open tools for scientific image analysis. We discuss the origins, challenges and solutions of these two programs, and how their history can serve to advise and inform other software projects.
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            Prediction of post-translational glycosylation and phosphorylation of proteins from the amino acid sequence.

            Post-translational modifications (PTMs) occur on almost all proteins analyzed to date. The function of a modified protein is often strongly affected by these modifications and therefore increased knowledge about the potential PTMs of a target protein may increase our understanding of the molecular processes in which it takes part. High-throughput methods for the identification of PTMs are being developed, in particular within the fields of proteomics and mass spectrometry. However, these methods are still in their early stages, and it is indeed advantageous to cut down on the number of experimental steps by integrating computational approaches into the validation procedures. Many advanced methods for the prediction of PTMs exist and many are made publicly available. We describe our experiences with the development of prediction methods for phosphorylation and glycosylation sites and the development of PTM-specific databases. In addition, we discuss novel ideas for PTM visualization (exemplified by kinase landscapes) and improvements for prediction specificity (by using ESS--evolutionary stable sites). As an example, we present a new method for kinase-specific prediction of phosphorylation sites, NetPhosK, which extends our earlier and more general tool, NetPhos. The new server, NetPhosK, is made publicly available at the URL http://www.cbs.dtu.dk/services/NetPhosK/. The issues of underestimation, over-prediction and strategies for improving prediction specificity are also discussed.
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              Virus glycosylation: role in virulence and immune interactions

              The study of N-linked glycosylation as it relates to virus biology has become an area of intense interest in recent years due to its ability to impart various advantages to virus survival and virulence. HIV and influenza, two clear threats to human health, have been shown to rely on expression of specific oligosaccharides to evade detection by the host immune system. Additionally, other viruses such as Hendra, SARS-CoV, influenza, hepatitis and West Nile rely on N-linked glycosylation for crucial functions such as entry into host cells, proteolytic processing and protein trafficking. This review focuses on recent findings on the importance of glycosylation to viral virulence and immune evasion for several prominent human pathogens.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                J Virol
                J Virol
                JVI
                Journal of Virology
                American Society for Microbiology (1752 N St., N.W., Washington, DC )
                0022-538X
                1098-5514
                8 December 2021
                23 February 2022
                February 2022
                23 February 2022
                : 96
                : 4
                : e01549-21
                Affiliations
                [a ] Ministry of Education Key Lab for Avian Preventive Medicine, Yangzhou Universitygrid.268415.c, , Yangzhou, Jiangsu, People’s Republic of China
                [b ] Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou, Jiangsu, People’s Republic of China
                [c ] The Pirbright Institute & UK-China Centre of Excellence on Avian Disease Research, Pirbright, Surrey, United Kingdom
                Ulm University Medical Center
                Author notes

                The authors declare no conflict of interest.

                Author information
                https://orcid.org/0000-0003-3940-1357
                https://orcid.org/0000-0001-5779-273X
                Article
                01549-21 jvi.01549-21
                10.1128/jvi.01549-21
                8865534
                34878920
                c375fa80-6bc8-42cd-af00-12d01ec9c2e2
                Copyright © 2022 Xu et al.

                This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license.

                History
                : 8 September 2021
                : 2 December 2021
                Page count
                Figures: 7, Tables: 1, Equations: 0, References: 40, Pages: 13, Words: 7632
                Funding
                Funded by: Ministry of Science and Technology of the People's Republic of China (MOST), FundRef https://doi.org/10.13039/501100002855;
                Award ID: 2016YFD0500803
                Award Recipient :
                Funded by: National Natural Science Foundation of China (NSFC), FundRef https://doi.org/10.13039/501100001809;
                Award ID: 31761133002
                Award Recipient :
                Funded by: UKRI | Biotechnology and Biological Sciences Research Council (BBSRC), FundRef https://doi.org/10.13039/501100000268;
                Award ID: BB/R012865/1
                Award Recipient :
                Categories
                Virus-Cell Interactions
                virology, Virology
                Custom metadata
                February 2022

                Microbiology & Virology
                alv-j,envelope protein,function analysis,glycosylation
                Microbiology & Virology
                alv-j, envelope protein, function analysis, glycosylation

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