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Goecker ZC, Burke MC, Remoroza CA, Liu Y, Mirokhin YA, Sheetlin SL, Tchekhovskoi DV, Yang X, Stein SE. Variation of Site-Specific Glycosylation Profiles of Recombinant Influenza Glycoproteins. Mol Cell Proteomics 2024:100827. [PMID: 39128790 DOI: 10.1016/j.mcpro.2024.100827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Revised: 07/08/2024] [Accepted: 08/07/2024] [Indexed: 08/13/2024] Open
Abstract
This work presents a detailed determination of site-specific N-glycan distributions of the recombinant influenza glycoproteins hemagglutinin and neuraminidase. Variation in glycosylation among recombinant glycoproteins is not predictable and can depend on details of the biomanufacturing process as well as details of protein structure. In this study, recombinant influenza proteins were analyzed from eight strains of four different suppliers. These include five hemagglutinin and three neuraminidase proteins, each produced from a HEK293 cell line. Digestion was conducted using a series of complex multi-enzymatic methods designed to isolate glycopeptides containing single N-glycosylated sites. Site-specific glycosylation profiles of intact glycopeptides were produced using a recently developed method and comparisons were made using spectral similarity scores. Variation in glycan abundances and distribution was most pronounced between different strains of virus (similarity score = 383 out of 999), whereas digestion replicates and injection replicates showed relatively little variation (similarity score = 957). Notably, glycan distributions for homologous regions of influenza glycoprotein variants showed low variability. Due to the multiple possible sources of variation and inherent analytical difficulties in site-specific glycan determinations, variations were individually examined for multiple factors, including differences in supplier, production batch, protease digestion and replicate measurement. After comparing all glycosylation distributions, four distinguishable classes could be identified for the majority of sites. Finally, attempts to identify glycosylation distributions on adjacent potential N-glycosylated sites of one HA variant were made. Only the second site (NnST) was found to be occupied using two rarely used proteases in proteomics, subtilisin and esperase, both of which did selectively cleave these adjacent sites.
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Affiliation(s)
- Zachary C Goecker
- Mass Spectrometry Data Center, National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, Maryland 20899, United States.
| | - Meghan C Burke
- Mass Spectrometry Data Center, National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, Maryland 20899, United States
| | - Concepcion A Remoroza
- Mass Spectrometry Data Center, National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, Maryland 20899, United States
| | - Yi Liu
- Mass Spectrometry Data Center, National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, Maryland 20899, United States
| | - Yuri A Mirokhin
- Mass Spectrometry Data Center, National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, Maryland 20899, United States
| | - Sergey L Sheetlin
- Mass Spectrometry Data Center, National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, Maryland 20899, United States
| | - Dmitrii V Tchekhovskoi
- Mass Spectrometry Data Center, National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, Maryland 20899, United States
| | - Xiaoyu Yang
- Mass Spectrometry Data Center, National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, Maryland 20899, United States
| | - Stephen E Stein
- Mass Spectrometry Data Center, National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, Maryland 20899, United States
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2
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Li Y, Wang J, Chen W, Lu H, Zhang Y. Comprehensive review of MS-based studies on N-glycoproteome and N-glycome of extracellular vesicles. Proteomics 2024; 24:e2300065. [PMID: 37474487 DOI: 10.1002/pmic.202300065] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Revised: 07/10/2023] [Accepted: 07/10/2023] [Indexed: 07/22/2023]
Abstract
Extracellular vesicles (EVs) are lipid bilayer-enclosed particles that can be released by all type of cells. Whereas, as one of the most common post-translational modifications, glycosylation plays a vital role in various biological functions of EVs, such as EV biogenesis, sorting, and cellular recognition. Nevertheless, compared with studies on RNAs or proteins, those investigating the glycoconjugates of EVs are limited. An in-depth investigation of N-glycosylation of EVs can improve the understanding of the biological functions of EVs and help to exploit EVs from different perspectives. The general focus of studies on glycosylation of EVs primarily includes isolation and characterization of EVs, preparation of glycoproteome/glycome samples and MS analysis. However, the low content of EVs and non-standard separation methods for downstream analysis are the main limitations of these studies. In this review, we highlight the importance of glycopeptide/glycan enrichment and derivatization owing to the low abundance of glycoproteins and the low ionization efficiency of glycans. Diverse fragmentation patterns and professional analytical software are indispensable for analysing glycosylation via MS. Altogether, this review summarises recent studies on glycosylation of EVs, revealing the role of EVs in disease progression and their remarkable potential as biomarkers.
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Affiliation(s)
- Yang Li
- Institutes of Biomedical Sciences and NHC Key Laboratory of Glycoconjugates Research, Fudan University, Shanghai, P. R. China
| | - Jun Wang
- Department of Chemistry and Shanghai Cancer Center, Fudan University, Shanghai, P. R. China
| | - Weiyu Chen
- Department of Chemistry and Shanghai Cancer Center, Fudan University, Shanghai, P. R. China
| | - Haojie Lu
- Institutes of Biomedical Sciences and NHC Key Laboratory of Glycoconjugates Research, Fudan University, Shanghai, P. R. China
- Department of Chemistry and Shanghai Cancer Center, Fudan University, Shanghai, P. R. China
| | - Ying Zhang
- Institutes of Biomedical Sciences and NHC Key Laboratory of Glycoconjugates Research, Fudan University, Shanghai, P. R. China
- Department of Chemistry and Shanghai Cancer Center, Fudan University, Shanghai, P. R. China
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3
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Liu Y, VanAernum Z, Zhang Y, Gao X, Vlad M, Feng B, Cross R, Kilgore B, Newman A, Wang D, Schuessler HA, Richardson DD, Chadwick JS. LC-MS Approach to Decipher a Light Chain Chromatographic Peak Splitting of a Monoclonal Antibody. Pharm Res 2023; 40:3087-3098. [PMID: 37936013 DOI: 10.1007/s11095-023-03631-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 10/20/2023] [Indexed: 11/09/2023]
Abstract
PURPOSE Monoclonal antibodies (mAbs), like other protein therapeutics, are prone to various forms of degradation, some of which are difficult to distinguish from the native form yet may alter potency. A generalizable LC-MS approach was developed to enable quantitative analysis of isoAsp. In-depth understanding of product quality attributes (PQAs) enables optimization of the manufacturing process, better formulation selection, and decreases risk associated with product handling in the clinic or during shipment. METHODS Reversed-phase chromatographic peak splitting was observed when a mAb was exposed to elevated temperatures. Multiple LC-MS based methods were applied to identify the reason for peak splitting. The approach involved the use of complementary HPLC columns, multiple enzymatic digestions and different MS/MS ion dissociation methods. In addition, mAb potency was measured by enzyme-linked immunosorbent assay (ELISA). RESULTS The split peaks had identical masses, and the root cause of the peak splitting was identified as isomerization of an aspartic acid located in the complementarity-determining region (CDR) of the light chain. And the early eluting and late eluting peaks were collected and performed enzymatic digestion to confirm the isoAsp enrichment in the early eluting peak. In addition, decreased potency was observed in the same heat-stressed sample, and the increased isoAsp levels in the CDR correlate well with a decrease of potency. CONCLUSION Liquid chromatography-mass spectrometry (LC-MS) has been utilized extensively to assess PQAs of biological therapeutics. In this study, a generalizable LC-MS-based approach was developed to enable identification and quantitation of the isoAsp-containing peptides.
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Affiliation(s)
- Yanjun Liu
- ProtaGene US, Inc. was Formerly BioAnalytix Inc., 4 Burlington Woods Dr., Burlington, MA, 01803, USA.
| | - Zac VanAernum
- Analytical Research & Development, Merck & Co., Inc., 126 E. Lincoln Ave, Rahway, NJ, 07065, USA.
| | - Yue Zhang
- ProtaGene US, Inc. was Formerly BioAnalytix Inc., 4 Burlington Woods Dr., Burlington, MA, 01803, USA
- Biogen, 225 Binney Street, Cambridge, MA, 02142, USA
| | - Xinliu Gao
- Analytical Research & Development, Merck & Co., Inc., 126 E. Lincoln Ave, Rahway, NJ, 07065, USA
| | - Mariana Vlad
- Analytical Research & Development, Merck & Co., Inc., 126 E. Lincoln Ave, Rahway, NJ, 07065, USA
| | - Bo Feng
- Analytical Research & Development, Merck & Co., Inc., 126 E. Lincoln Ave, Rahway, NJ, 07065, USA
| | - Robert Cross
- Analytical Research & Development, Merck & Co., Inc., 126 E. Lincoln Ave, Rahway, NJ, 07065, USA
| | - Bruce Kilgore
- Analytical Research & Development, Merck & Co., Inc., 126 E. Lincoln Ave, Rahway, NJ, 07065, USA
| | - Alice Newman
- Analytical Research & Development, Merck & Co., Inc., 126 E. Lincoln Ave, Rahway, NJ, 07065, USA
| | - Dongdong Wang
- ProtaGene US, Inc. was Formerly BioAnalytix Inc., 4 Burlington Woods Dr., Burlington, MA, 01803, USA
- Takeda Pharmaceutical Company, 35 Landsdowne St, Cambridge, MA, 02139, USA
| | - Hillary A Schuessler
- Analytical Research & Development, Merck & Co., Inc., 126 E. Lincoln Ave, Rahway, NJ, 07065, USA
| | - Douglas D Richardson
- Analytical Research & Development, Merck & Co., Inc., 126 E. Lincoln Ave, Rahway, NJ, 07065, USA
| | - Jennifer S Chadwick
- ProtaGene US, Inc. was Formerly BioAnalytix Inc., 4 Burlington Woods Dr., Burlington, MA, 01803, USA
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4
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Casalino L, Seitz C, Lederhofer J, Tsybovsky Y, Wilson IA, Kanekiyo M, Amaro RE. Breathing and Tilting: Mesoscale Simulations Illuminate Influenza Glycoprotein Vulnerabilities. ACS CENTRAL SCIENCE 2022; 8:1646-1663. [PMID: 36589893 PMCID: PMC9801513 DOI: 10.1021/acscentsci.2c00981] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Indexed: 05/28/2023]
Abstract
Influenza virus has resurfaced recently from inactivity during the early stages of the COVID-19 pandemic, raising serious concerns about the nature and magnitude of future epidemics. The main antigenic targets of influenza virus are two surface glycoproteins, hemagglutinin (HA) and neuraminidase (NA). Whereas the structural and dynamical properties of both glycoproteins have been studied previously, the understanding of their plasticity in the whole-virion context is fragmented. Here, we investigate the dynamics of influenza glycoproteins in a crowded protein environment through mesoscale all-atom molecular dynamics simulations of two evolutionary-linked glycosylated influenza A whole-virion models. Our simulations reveal and kinetically characterize three main molecular motions of influenza glycoproteins: NA head tilting, HA ectodomain tilting, and HA head breathing. The flexibility of HA and NA highlights antigenically relevant conformational states, as well as facilitates the characterization of a novel monoclonal antibody, derived from convalescent human donor, that binds to the underside of the NA head. Our work provides previously unappreciated views on the dynamics of HA and NA, advancing the understanding of their interplay and suggesting possible strategies for the design of future vaccines and antivirals against influenza.
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Affiliation(s)
- Lorenzo Casalino
- Department
of Chemistry and Biochemistry, University
of California San Diego, La Jolla, California92093, United States
| | - Christian Seitz
- Department
of Chemistry and Biochemistry, University
of California San Diego, La Jolla, California92093, United States
| | - Julia Lederhofer
- Vaccine
Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland20892, United States
| | - Yaroslav Tsybovsky
- Electron
Microscopy Laboratory, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research
Sponsored by the National Cancer Institute, Frederick, Maryland21702, United States
| | - Ian A. Wilson
- Department
of Integrative Structural and Computational Biology and the Skaggs
Institute for Chemical Biology, The Scripps
Research Institute, La Jolla, California92037, United States
| | - Masaru Kanekiyo
- Vaccine
Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland20892, United States
| | - Rommie E. Amaro
- Department
of Chemistry and Biochemistry, University
of California San Diego, La Jolla, California92093, United States
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5
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Casalino L, Seitz C, Lederhofer J, Tsybovsky Y, Wilson IA, Kanekiyo M, Amaro RE. Breathing and tilting: mesoscale simulations illuminate influenza glycoprotein vulnerabilities. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2022:2022.08.02.502576. [PMID: 35982676 PMCID: PMC9387122 DOI: 10.1101/2022.08.02.502576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Influenza virus has resurfaced recently from inactivity during the early stages of the COVID-19 pandemic, raising serious concerns about the nature and magnitude of future epidemics. The main antigenic targets of influenza virus are two surface glycoproteins, hemagglutinin (HA) and neuraminidase (NA). Whereas the structural and dynamical properties of both glycoproteins have been studied previously, the understanding of their plasticity in the whole-virion context is fragmented. Here, we investigate the dynamics of influenza glycoproteins in a crowded protein environment through mesoscale all-atom molecular dynamics simulations of two evolutionary-linked glycosylated influenza A whole-virion models. Our simulations reveal and kinetically characterize three main molecular motions of influenza glycoproteins: NA head tilting, HA ectodomain tilting, and HA head breathing. The flexibility of HA and NA highlights antigenically relevant conformational states, as well as facilitates the characterization of a novel monoclonal antibody, derived from human convalescent plasma, that binds to the underside of the NA head. Our work provides previously unappreciated views on the dynamics of HA and NA, advancing the understanding of their interplay and suggesting possible strategies for the design of future vaccines and antivirals against influenza.
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Affiliation(s)
- Lorenzo Casalino
- Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, California 92093, United States
| | - Christian Seitz
- Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, California 92093, United States
| | - Julia Lederhofer
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Yaroslav Tsybovsky
- Electron Microscopy Laboratory, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research sponsored by the National Cancer Institute, Frederick, MD 21702, United States
| | - Ian A. Wilson
- Department of Integrative Structural and Computational Biology and the Skaggs Institute for Chemical Biology, The Scripps Research Institute, La Jolla, CA 92037, United States
| | - Masaru Kanekiyo
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Rommie E. Amaro
- Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, California 92093, United States,Corresponding author.
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6
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Pralow A, Hoffmann M, Nguyen-Khuong T, Pioch M, Hennig R, Genzel Y, Rapp E, Reichl U. Comprehensive N-glycosylation analysis of the influenza A virus proteins HA and NA from adherent and suspension MDCK cells. FEBS J 2021; 288:4869-4891. [PMID: 33629527 DOI: 10.1111/febs.15787] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Revised: 02/04/2021] [Accepted: 02/22/2021] [Indexed: 12/25/2022]
Abstract
Glycosylation is considered as a critical quality attribute for the production of recombinant biopharmaceuticals such as hormones, blood clotting factors, or monoclonal antibodies. In contrast, glycan patterns of immunogenic viral proteins, which differ significantly between the various expression systems, are hardly analyzed yet. The influenza A virus (IAV) proteins hemagglutinin (HA) and neuraminidase (NA) have multiple N-glycosylation sites, and alteration of N-glycan micro- and macroheterogeneity can have strong effects on virulence and immunogenicity. Here, we present a versatile and powerful glycoanalytical workflow that enables a comprehensive N-glycosylation analysis of IAV glycoproteins. We challenged our workflow with IAV (A/PR/8/34 H1N1) propagated in two closely related Madin-Darby canine kidney (MDCK) cell lines, namely an adherent MDCK cell line and its corresponding suspension cell line. As expected, N-glycan patterns of HA and NA from virus particles produced in both MDCK cell lines were similar. Detailed analysis of the HA N-glycan microheterogeneity showed an increasing variability and a higher complexity for N-glycosylation sites located closer to the head region of the molecule. In contrast, NA was found to be exclusively N-glycosylated at site N73. Almost all N-glycan structures were fucosylated. Furthermore, HA and NA N-glycan structures were exclusively hybrid- and complex-type structures, to some extent terminated with alpha-linked galactose(s) but also with blood group H type 2 and blood group A epitopes. In contrast to the similarity of the overall glycan pattern, differences in the relative abundance of individual structures were identified. This concerned, in particular, oligomannose-type, alpha-linked galactose, and multiantennary complex-type N-glycans.
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Affiliation(s)
- Alexander Pralow
- Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany
| | - Marcus Hoffmann
- Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany
| | - Terry Nguyen-Khuong
- Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany
| | - Markus Pioch
- Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany
| | - René Hennig
- Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany.,glyXera GmbH, Magdeburg, Germany
| | - Yvonne Genzel
- Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany
| | - Erdmann Rapp
- Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany.,glyXera GmbH, Magdeburg, Germany
| | - Udo Reichl
- Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany.,Chair of Bioprocess Engineering, Otto von Guericke University, Magdeburg, Germany
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7
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Multiscale Simulations Examining Glycan Shield Effects on Drug Binding to Influenza Neuraminidase. Biophys J 2020; 119:2275-2289. [PMID: 33130120 DOI: 10.1016/j.bpj.2020.10.024] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Revised: 10/08/2020] [Accepted: 10/21/2020] [Indexed: 12/18/2022] Open
Abstract
Influenza neuraminidase is an important drug target. Glycans are present on neuraminidase and are generally considered to inhibit antibody binding via their glycan shield. In this work, we studied the effect of glycans on the binding kinetics of antiviral drugs to the influenza neuraminidase. We created all-atom in silico systems of influenza neuraminidase with experimentally derived glycoprofiles consisting of four systems with different glycan conformations and one system without glycans. Using Brownian dynamics simulations, we observe a two- to eightfold decrease in the rate of ligand binding to the primary binding site of neuraminidase due to the presence of glycans. These glycans are capable of covering much of the surface area of neuraminidase, and the ligand binding inhibition is derived from glycans sterically occluding the primary binding site on a neighboring monomer. Our work also indicates that drugs preferentially bind to the primary binding site (i.e., the active site) over the secondary binding site, and we propose a binding mechanism illustrating this. These results help illuminate the complex interplay between glycans and ligand binding on the influenza membrane protein neuraminidase.
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8
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Cipollo JF, Parsons LM. Glycomics and glycoproteomics of viruses: Mass spectrometry applications and insights toward structure-function relationships. MASS SPECTROMETRY REVIEWS 2020; 39:371-409. [PMID: 32350911 PMCID: PMC7318305 DOI: 10.1002/mas.21629] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2019] [Revised: 04/01/2020] [Accepted: 04/05/2020] [Indexed: 05/21/2023]
Abstract
The advancement of viral glycomics has paralleled that of the mass spectrometry glycomics toolbox. In some regard the glycoproteins studied have provided the impetus for this advancement. Viral proteins are often highly glycosylated, especially those targeted by the host immune system. Glycosylation tends to be dynamic over time as viruses propagate in host populations leading to increased number of and/or "movement" of glycosylation sites in response to the immune system and other pressures. This relationship can lead to highly glycosylated, difficult to analyze glycoproteins that challenge the capabilities of modern mass spectrometry. In this review, we briefly discuss five general areas where glycosylation is important in the viral niche and how mass spectrometry has been used to reveal key information regarding structure-function relationships between viral glycoproteins and host cells. We describe the recent past and current glycomics toolbox used in these analyses and give examples of how the requirement to analyze these complex glycoproteins has provided the incentive for some advances seen in glycomics mass spectrometry. A general overview of viral glycomics, special cases, mass spectrometry methods and work-flows, informatics and complementary chemical techniques currently used are discussed. © 2020 The Authors. Mass Spectrometry Reviews published by John Wiley & Sons Ltd. Mass Spec Rev.
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Affiliation(s)
- John F. Cipollo
- Center for Biologics Evaluation and Research, Food and Drug AdministrationSilver SpringMaryland
| | - Lisa M. Parsons
- Center for Biologics Evaluation and Research, Food and Drug AdministrationSilver SpringMaryland
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9
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Abstract
Frequent mutation of its major antibody target, the glycoprotein hemagglutinin, ensures that the influenza virus is perennially both a rapidly emerging virus and a major threat to public health. One type of mutation escapes immunity by adding a glycan onto an area of hemagglutinin that many antibodies recognize. This study revealed that these glycan changes follow a simple temporal pattern. Every 5 to 7 years, hemagglutinin adds a new glycan, up to a limit. After this limit is reached, no net additions of glycans occur. Instead, glycans are swapped or lost at longer intervals. Eventually, a pandemic replaces the terminally glycosylated hemagglutinin with a minimally glycosylated one from the animal reservoir, restarting the cycle. This pattern suggests the following: (i) some hemagglutinins are evolved for this decades-long process, which is both defined by and limited by successive glycan addition; and (ii) hemagglutinin's antibody dominance and its capacity for mutations are highly adapted features that allow influenza to outpace our antibody-based immunity. Human antibody-based immunity to influenza A virus is limited by antigenic drift resulting from amino acid substitutions in the hemagglutinin (HA) head domain. Glycan addition can cause large antigenic changes but is limited by fitness costs to viral replication. Here, we report that glycans are added to H1 and H3 HAs at discrete 5-to-7-year intervals, until they reach a functional glycan limit, after which glycans are swapped at approximately 2-fold-longer intervals. Consistent with this pattern, 2009 pandemic H1N1 added a glycan at residue N162 over the 2015–2016 season, an addition that required two epistatic HA head mutations for complete glycosylation. These strains rapidly replaced H1N1 strains globally, by 2017 dominating H3N2 and influenza B virus strains for the season. The pattern of glycan modulation that we outline should aid efforts for tracing the epidemic potential of evolving human IAV strains.
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10
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Zhu B, Shen J, Zhao T, Jiang H, Ma T, Zhang J, Dang L, Gao N, Hu Y, Shi Y, Sun S. Intact Glycopeptide Analysis of Influenza A/H1N1/09 Neuraminidase Revealing the Effects of Host and Glycosite Location on Site‐Specific Glycan Structures. Proteomics 2019; 19:e1800202. [DOI: 10.1002/pmic.201800202] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2018] [Revised: 11/23/2018] [Indexed: 11/10/2022]
Affiliation(s)
- Bojing Zhu
- College of Life ScienceNorthwest University Xi'an Shaanxi province 710069 P. R. China
| | - Jiechen Shen
- College of Life ScienceNorthwest University Xi'an Shaanxi province 710069 P. R. China
| | - Ting Zhao
- College of Life ScienceNorthwest University Xi'an Shaanxi province 710069 P. R. China
| | - Haihai Jiang
- CAS Key Laboratory of Pathogenic Microbiology and ImmunologyInstitute of MicrobiologyChinese Academy of Sciences 100101 Beijing P. R. China
| | - Tianran Ma
- College of Life ScienceNorthwest University Xi'an Shaanxi province 710069 P. R. China
| | - Jie Zhang
- Department of Computer Science and TechnologyXidian University Xi'an Shaanxi province 710069 P. R. China
| | - Liuyi Dang
- College of Life ScienceNorthwest University Xi'an Shaanxi province 710069 P. R. China
| | - Ni Gao
- College of Life ScienceNorthwest University Xi'an Shaanxi province 710069 P. R. China
| | - Yingwei Hu
- Department of PathologyJohns Hopkins University Baltimore MD 21287 USA
| | - Yi Shi
- CAS Key Laboratory of Pathogenic Microbiology and ImmunologyInstitute of MicrobiologyChinese Academy of Sciences 100101 Beijing P. R. China
| | - Shisheng Sun
- College of Life ScienceNorthwest University Xi'an Shaanxi province 710069 P. R. China
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11
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12
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Wang Q, Chung C, Yang W, Yang G, Chough S, Chen Y, Yin B, Bhattacharya R, Hu Y, Saeui CT, Yarema KJ, Betenbaugh MJ, Zhang H. Combining Butyrated ManNAc with Glycoengineered CHO Cells Improves EPO Glycan Quality and Production. Biotechnol J 2018; 14:e1800186. [DOI: 10.1002/biot.201800186] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2018] [Revised: 09/06/2018] [Indexed: 12/13/2022]
Affiliation(s)
- Qiong Wang
- Department of Chemical and Biomolecular EngineeringJohns Hopkins UniversityBaltimoreMD 21218USA
| | - Cheng‐Yu Chung
- Department of Chemical and Biomolecular EngineeringJohns Hopkins UniversityBaltimoreMD 21218USA
| | - Weiming Yang
- Department of PathologyJohns Hopkins University School of MedicineBaltimoreMD 21231USA
| | - Ganglong Yang
- Department of PathologyJohns Hopkins University School of MedicineBaltimoreMD 21231USA
| | - Sandra Chough
- Department of Chemical and Biomolecular EngineeringJohns Hopkins UniversityBaltimoreMD 21218USA
| | - Yiqun Chen
- Department of Chemical and Biomolecular EngineeringJohns Hopkins UniversityBaltimoreMD 21218USA
| | - Bojiao Yin
- Department of Chemical and Biomolecular EngineeringJohns Hopkins UniversityBaltimoreMD 21218USA
| | - Rahul Bhattacharya
- Department of Biomedical EngineeringJohns Hopkins UniversityBaltimoreMD 21231USA
| | - Yingwei Hu
- Department of PathologyJohns Hopkins University School of MedicineBaltimoreMD 21231USA
| | - Christopher T. Saeui
- Department of Biomedical EngineeringJohns Hopkins UniversityBaltimoreMD 21231USA
| | - Kevin J. Yarema
- Department of Biomedical EngineeringJohns Hopkins UniversityBaltimoreMD 21231USA
| | - Michael J. Betenbaugh
- Department of Chemical and Biomolecular EngineeringJohns Hopkins UniversityBaltimoreMD 21218USA
| | - Hui Zhang
- Department of PathologyJohns Hopkins University School of MedicineBaltimoreMD 21231USA
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13
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de Castro RJS, Ohara A, Aguilar JGDS, Domingues MAF. Nutritional, functional and biological properties of insect proteins: Processes for obtaining, consumption and future challenges. Trends Food Sci Technol 2018. [DOI: 10.1016/j.tifs.2018.04.006] [Citation(s) in RCA: 55] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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14
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Affiliation(s)
- David J. Harvey
- Target Discovery Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Biological Sciences and the Institute for Life Sciences, University of Southampton, Southampton, SO17 1BJ, UK
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