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Mohideen FI, Mahal LK. Infection and the Glycome─New Insights into Host Response. ACS Infect Dis 2024; 10:2540-2550. [PMID: 38990078 PMCID: PMC11320568 DOI: 10.1021/acsinfecdis.4c00315] [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: 04/23/2024] [Revised: 06/20/2024] [Accepted: 06/25/2024] [Indexed: 07/12/2024]
Abstract
Glycans play critical roles in the host-pathogen interactions leading to infection. However, we still understand very little about the dynamic nature of glycosylation in response to infection and its function in modulating host immunity. Many of the host proteins involved in immune defense are glycoproteins. Furthermore, the innate immune system recognizes glycans. The glycoform of a protein can impact proteolytic stability, receptor interactions, serum half-life, and other aspects. New, cutting-edge chemical biology tools are shedding light on the interplay between infection and the host glycome. In this review, we highlight new work on the importance of dynamic glycosylation of host proteins in the innate and adaptive immune pathways in response to infection. These include recent findings on altered glycoprofiles of mucins, complement components, and antibodies.
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Affiliation(s)
- F. Ifthiha Mohideen
- Department
of Chemistry, University of Alberta, 11227 Saskatchewan Drive NW, Edmonton, Alberta T6G 2G2, Canada
| | - Lara K. Mahal
- Department
of Chemistry, University of Alberta, 11227 Saskatchewan Drive NW, Edmonton, Alberta T6G 2G2, Canada
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2
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Li H, Peralta AG, Schoffelen S, Hansen AH, Arnsdorf J, Schinn SM, Skidmore J, Choudhury B, Paulchakrabarti M, Voldborg BG, Chiang AW, Lewis NE. LeGenD: determining N-glycoprofiles using an explainable AI-leveraged model with lectin profiling. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.27.587044. [PMID: 38585977 PMCID: PMC10996628 DOI: 10.1101/2024.03.27.587044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/09/2024]
Abstract
Glycosylation affects many vital functions of organisms. Therefore, its surveillance is critical from basic science to biotechnology, including biopharmaceutical development and clinical diagnostics. However, conventional glycan structure analysis faces challenges with throughput and cost. Lectins offer an alternative approach for analyzing glycans, but they only provide glycan epitopes and not full glycan structure information. To overcome these limitations, we developed LeGenD, a lectin and AI-based approach to predict N-glycan structures and determine their relative abundance in purified proteins based on lectin-binding patterns. We trained the LeGenD model using 309 glycoprofiles from 10 recombinant proteins, produced in 30 glycoengineered CHO cell lines. Our approach accurately reconstructed experimentally-measured N-glycoprofiles of bovine Fetuin B and IgG from human sera. Explanatory AI analysis with SHapley Additive exPlanations (SHAP) helped identify the critical lectins for glycoprofile predictions. Our LeGenD approach thus presents an alternative approach for N-glycan analysis.
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Affiliation(s)
- Haining Li
- Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA
| | - Angelo G. Peralta
- Department of Pediatrics, University of California, San Diego, La Jolla, CA 92093, USA
| | - Sanne Schoffelen
- National Biologics Facility Department of Biotechnology and Biomedicine, Technical University of Denmark, Building 220, Kemitorvet, 2800 Kgs. Lyngby Denmark
| | - Anders Holmgaard Hansen
- National Biologics Facility Department of Biotechnology and Biomedicine, Technical University of Denmark, Building 220, Kemitorvet, 2800 Kgs. Lyngby Denmark
| | - Johnny Arnsdorf
- National Biologics Facility Department of Biotechnology and Biomedicine, Technical University of Denmark, Building 220, Kemitorvet, 2800 Kgs. Lyngby Denmark
| | - Song-Min Schinn
- Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA
| | - Jonathan Skidmore
- Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA
- Department of Microbiology and Molecular Biology, Brigham Young University, Provo, UT 84602, USA
| | - Biswa Choudhury
- Glycobiology Research and Training Center, University of California, San Diego, La Jolla, CA 92093, USA
| | - Mousumi Paulchakrabarti
- Glycobiology Research and Training Center, University of California, San Diego, La Jolla, CA 92093, USA
| | - Bjorn G. Voldborg
- National Biologics Facility Department of Biotechnology and Biomedicine, Technical University of Denmark, Building 220, Kemitorvet, 2800 Kgs. Lyngby Denmark
| | - Austin W.T. Chiang
- Department of Pediatrics, University of California, San Diego, La Jolla, CA 92093, USA
| | - Nathan E. Lewis
- Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA
- Department of Pediatrics, University of California, San Diego, La Jolla, CA 92093, USA
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3
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Marglous S, Brown CE, Padler-Karavani V, Cummings RD, Gildersleeve JC. Serum antibody screening using glycan arrays. Chem Soc Rev 2024; 53:2603-2642. [PMID: 38305761 PMCID: PMC7616341 DOI: 10.1039/d3cs00693j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2024]
Abstract
Humans and other animals produce a diverse collection of antibodies, many of which bind to carbohydrate chains, referred to as glycans. These anti-glycan antibodies are a critical part of our immune systems' defenses. Whether induced by vaccination or natural exposure to a pathogen, anti-glycan antibodies can provide protection against infections and cancers. Alternatively, when an immune response goes awry, antibodies that recognize self-glycans can mediate autoimmune diseases. In any case, serum anti-glycan antibodies provide a rich source of information about a patient's overall health, vaccination history, and disease status. Glycan microarrays provide a high-throughput platform to rapidly interrogate serum anti-glycan antibodies and identify new biomarkers for a variety of conditions. In addition, glycan microarrays enable detailed analysis of the immune system's response to vaccines and other treatments. Herein we review applications of glycan microarray technology for serum anti-glycan antibody profiling.
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Affiliation(s)
- Samantha Marglous
- Chemical Biology Laboratory, Center for Cancer Research, National Cancer Institute, Frederick, MD, 21702, USA.
| | - Claire E Brown
- Chemical Biology Laboratory, Center for Cancer Research, National Cancer Institute, Frederick, MD, 21702, USA.
| | - Vered Padler-Karavani
- Department of Cell Research and Immunology, Shmunis School of Biomedicine and Cancer Research, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, 69978, Israel.
| | - Richard D Cummings
- Department of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, 02115, USA.
| | - Jeffrey C Gildersleeve
- Chemical Biology Laboratory, Center for Cancer Research, National Cancer Institute, Frederick, MD, 21702, USA.
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4
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Rangel-Angarita V, Mahoney KE, Kwon C, Sarker R, Lucas TM, Malaker SA. False-Positive Glycopeptide Identification via In-FAIMS Fragmentation. JACS AU 2023; 3:2498-2509. [PMID: 37772174 PMCID: PMC10523363 DOI: 10.1021/jacsau.3c00264] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/28/2023] [Revised: 08/24/2023] [Accepted: 09/01/2023] [Indexed: 09/30/2023]
Abstract
High-field asymmetric waveform ion mobility spectrometry (FAIMS) separates glycopeptides in the gas phase prior to mass spectrometry (MS) analysis, thus offering the potential to analyze glycopeptides without prior enrichment. Several studies have demonstrated the ability of FAIMS to enhance glycopeptide detection but have primarily focused on N-glycosylation. Here, we evaluated FAIMS for O-glycoprotein and mucin-domain glycoprotein analysis using samples of varying complexity. We demonstrated that FAIMS was useful in increasingly complex samples as it allowed for the identification of more glycosylated species. However, during our analyses, we observed a phenomenon called "in FAIMS fragmentation" (IFF) akin to in source fragmentation but occurring during FAIMS separation. FAIMS experiments showed a 2- to 5-fold increase in spectral matches from IFF compared with control experiments. These results were also replicated in previously published data, indicating that this is likely a systemic occurrence when using FAIMS. Our study highlights that although there are potential benefits to using FAIMS separation, caution must be exercised in data analysis because of prevalent IFF, which may limit its applicability in the broader field of O-glycoproteomics.
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Affiliation(s)
- Valentina Rangel-Angarita
- Department of Chemistry, Yale University, 275 Prospect Street, New
Haven, Connecticut 06511, United States
| | - Keira E. Mahoney
- Department of Chemistry, Yale University, 275 Prospect Street, New
Haven, Connecticut 06511, United States
| | - Catherine Kwon
- Department of Chemistry, Yale University, 275 Prospect Street, New
Haven, Connecticut 06511, United States
| | - Raibat Sarker
- Department of Chemistry, Yale University, 275 Prospect Street, New
Haven, Connecticut 06511, United States
| | - Taryn M. Lucas
- Department of Chemistry, Yale University, 275 Prospect Street, New
Haven, Connecticut 06511, United States
| | - Stacy A. Malaker
- Department of Chemistry, Yale University, 275 Prospect Street, New
Haven, Connecticut 06511, United States
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Le HT, Liu M, Grimes CL. Application of bioanalytical and computational methods in decoding the roles of glycans in host-pathogen interactions. Curr Opin Chem Biol 2023; 74:102301. [PMID: 37080155 PMCID: PMC10296625 DOI: 10.1016/j.cbpa.2023.102301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 03/09/2023] [Accepted: 03/14/2023] [Indexed: 04/22/2023]
Abstract
Host-pathogen interactions (HPIs) are complex processes that require tight regulation. A common regulatory mechanism of HPIs is through glycans of either host cells or pathogens. Due to their diverse sequences, complex structures, and conformations, studies of glycans require highly sensitive and powerful tools. Recent improvements in technology have enabled the application of many bioanalytical techniques and modeling methods to investigate glycans and their mechanisms in HPIs. This mini-review highlights how these advances have been used to understand the role glycans play in HPIs in the past 2 years.
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Affiliation(s)
- Ha T Le
- Department of Chemistry and Biochemistry, University of Delaware, Newark, DE, USA
| | - Min Liu
- Department of Chemistry and Biochemistry, University of Delaware, Newark, DE, USA
| | - Catherine L Grimes
- Department of Chemistry and Biochemistry, University of Delaware, Newark, DE, USA; Department of Biological Sciences, University of Delaware, Newark, DE, USA.
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Tabaei SR, Fernandez-Villamarin M, Vafaei S, Rooney L, Mendes PM. Recapitulating the Lateral Organization of Membrane Receptors at the Nanoscale. ACS NANO 2023. [PMID: 37200265 DOI: 10.1021/acsnano.3c00683] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
Many cell membrane functions emerge from the lateral presentation of membrane receptors. The link between the nanoscale organization of the receptors and ligand binding remains, however, mostly unclear. In this work, we applied surface molecular imprinting and utilized the phase behavior of lipid bilayers to create platforms that recapitulate the lateral organization of membrane receptors at the nanoscale. We used liposomes decorated with amphiphilic boronic acids that commonly serve as synthetic saccharide receptors and generated three lateral modes of receptor presentation─random distribution, nanoclustering, and receptor crowding─and studied their interaction with saccharides. In comparison to liposomes with randomly dispersed receptors, surface-imprinted liposomes resulted in more than a 5-fold increase in avidity. Quantifying the binding affinity and cooperativity proved that the boost was mediated by the formation of the nanoclusters rather than a local increase in the receptor concentration. In contrast, receptor crowding, despite the presence of increased local receptor concentrations, prevented multivalent oligosaccharide binding due to steric effects. The findings demonstrate the significance of nanometric aspects of receptor presentation and generation of multivalent ligands including artificial lectins for the sensitive and specific detection of glycans.
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Affiliation(s)
- Seyed R Tabaei
- School of Chemistry and Chemical Engineering, Queen's University Belfast, Stranmillis Road, Belfast, BT9 5AG, U.K
| | | | - Setareh Vafaei
- School of Chemical Engineering, University of Birmingham, Edgbaston, Birmingham, B15 2TT, U.K
| | - Lorcan Rooney
- School of Chemistry and Chemical Engineering, Queen's University Belfast, Stranmillis Road, Belfast, BT9 5AG, U.K
| | - Paula M Mendes
- School of Chemical Engineering, University of Birmingham, Edgbaston, Birmingham, B15 2TT, U.K
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Kohout VR, Wardzala CL, Kramer JR. Synthesis and biomedical applications of mucin mimic materials. Adv Drug Deliv Rev 2022; 191:114540. [PMID: 36228896 PMCID: PMC10066857 DOI: 10.1016/j.addr.2022.114540] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 08/17/2022] [Accepted: 09/13/2022] [Indexed: 02/09/2023]
Abstract
Mucin glycoproteins are the major component of mucus and coat epithelial cell surfaces forming the glycocalyx. The glycocalyx and mucus are involved in the transport of nutrients, drugs, gases, and pathogens toward the cell surface. Mucins are also involved in diverse diseases such as cystic fibrosis and cancer. Due to inherent heterogeneity in native mucin structure, many synthetic materials have been designed to probe mucin chemistry, biology, and physics. Such materials include various glycopolymers, low molecular weight glycopeptides, glycopolypeptides, polysaccharides, and polysaccharide-protein conjugates. This review highlights advances in the area of design and synthesis of mucin mimic materials, and their biomedical applications in glycan binding, epithelial models of infection, therapeutic delivery, vaccine formulation, and beyond.
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Affiliation(s)
- Victoria R Kohout
- Department of Biomedical Engineering, University of Utah, 36 S. Wasatch Dr., Salt Lake City, UT 84112, USA
| | - Casia L Wardzala
- Department of Biomedical Engineering, University of Utah, 36 S. Wasatch Dr., Salt Lake City, UT 84112, USA
| | - Jessica R Kramer
- Department of Biomedical Engineering, University of Utah, 36 S. Wasatch Dr., Salt Lake City, UT 84112, USA.
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Riley NM, Wen RM, Bertozzi CR, Brooks JD, Pitteri SJ. Measuring the multifaceted roles of mucin-domain glycoproteins in cancer. Adv Cancer Res 2022; 157:83-121. [PMID: 36725114 PMCID: PMC10582998 DOI: 10.1016/bs.acr.2022.09.001] [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: 11/05/2022]
Abstract
Mucin-domain glycoproteins are highly O-glycosylated cell surface and secreted proteins that serve as both biochemical and biophysical modulators. Aberrant expression and glycosylation of mucins are known hallmarks in numerous malignancies, yet mucin-domain glycoproteins remain enigmatic in the broad landscape of cancer glycobiology. Here we review the multifaceted roles of mucins in cancer through the lens of the analytical and biochemical methods used to study them. We also describe a collection of emerging tools that are specifically equipped to characterize mucin-domain glycoproteins in complex biological backgrounds. These approaches are poised to further elucidate how mucin biology can be understood and subsequently targeted for the next generation of cancer therapeutics.
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Affiliation(s)
- Nicholas M Riley
- Department of Chemistry and Sarafan ChEM-H, Stanford University, Stanford, CA, United States.
| | - Ru M Wen
- Department of Urology, Stanford University School of Medicine, Stanford, CA, United States
| | - Carolyn R Bertozzi
- Department of Chemistry and Sarafan ChEM-H, Stanford University, Stanford, CA, United States; Howard Hughes Medical Institute, Stanford, CA, United States
| | - James D Brooks
- Department of Urology, Stanford University School of Medicine, Stanford, CA, United States; Department of Radiology, Canary Center at Stanford for Cancer Early Detection, Stanford University School of Medicine, Palo Alto, CA, United States
| | - Sharon J Pitteri
- Department of Radiology, Canary Center at Stanford for Cancer Early Detection, Stanford University School of Medicine, Palo Alto, CA, United States.
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9
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Ince D, Lucas TM, Malaker SA. Current strategies for characterization of mucin-domain glycoproteins. Curr Opin Chem Biol 2022; 69:102174. [PMID: 35752002 DOI: 10.1016/j.cbpa.2022.102174] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 05/02/2022] [Accepted: 05/19/2022] [Indexed: 11/18/2022]
Abstract
Glycosylation, and especially O-linked glycosylation, remains a critical blind spot in the understanding of post-translational modifications. Due to their nature as proteins defined by a large density and abundance of O-glycosylation, mucins present extra challenges in the analysis of their structure and function. However, recent breakthroughs in multiple areas of research have rendered mucin-domain glycoproteins more accessible to current characterization techniques. In particular, the adaptation of mucinases to glycoproteomic workflows, the manipulation of cellular glycosylation pathways, and the advances in synthetic methods to more closely mimic mucin domains have introduced new and exciting avenues to study mucin glycoproteins. Here, we summarize recent developments in understanding the structure and biological function of mucin domains and their associated glycans, from glycoproteomic tools and visualization methods to synthetic glycopeptide mimetics.
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Affiliation(s)
- Deniz Ince
- Department of Chemistry, Yale University, 275 Prospect St, New Haven, CT 06511, United States
| | - Taryn M Lucas
- Department of Chemistry, Yale University, 275 Prospect St, New Haven, CT 06511, United States
| | - Stacy A Malaker
- Department of Chemistry, Yale University, 275 Prospect St, New Haven, CT 06511, United States.
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10
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Lundstrøm J, Korhonen E, Lisacek F, Bojar D. LectinOracle: A Generalizable Deep Learning Model for Lectin-Glycan Binding Prediction. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2022; 9:e2103807. [PMID: 34862760 PMCID: PMC8728848 DOI: 10.1002/advs.202103807] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Revised: 11/03/2021] [Indexed: 05/07/2023]
Abstract
Ranging from bacterial cell adhesion over viral cell entry to human innate immunity, glycan-binding proteins or lectins are abound in nature. Widely used as staining and characterization reagents in cell biology and crucial for understanding the interactions in biological systems, lectins are a focal point of study in glycobiology. Yet the sheer breadth and depth of specificity for diverse oligosaccharide motifs has made studying lectins a largely piecemeal approach, with few options to generalize. Here, LectinOracle, a model combining transformer-based representations for proteins and graph convolutional neural networks for glycans to predict their interaction, is presented. Using a curated data set of 564,647 unique protein-glycan interactions, it is shown that LectinOracle predictions agree with literature-annotated specificities for a wide range of lectins. Using a range of specialized glycan arrays, it is shown that LectinOracle predictions generalize to new glycans and lectins, with qualitative and quantitative agreement with experimental data. It is further demonstrated that LectinOracle can be used to improve lectin classification, accelerate lectin directed evolution, predict epidemiological outcomes in the context of influenza virus, and analyze whole lectomes in host-microbe interactions. It is envisioned that the herein presented platform will advance both the study of lectins and their role in (glyco)biology.
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Affiliation(s)
- Jon Lundstrøm
- Department of Chemistry and Molecular BiologyUniversity of GothenburgGothenburg41390Sweden
- Wallenberg Centre for Molecular and Translational MedicineUniversity of GothenburgGothenburg41390Sweden
| | - Emma Korhonen
- Department of Chemistry and Molecular BiologyUniversity of GothenburgGothenburg41390Sweden
- Wallenberg Centre for Molecular and Translational MedicineUniversity of GothenburgGothenburg41390Sweden
| | - Frédérique Lisacek
- Swiss Institute of BioinformaticsGeneva1227Switzerland
- Computer Science DepartmentUniGeGeneva1227Switzerland
- Section of BiologyUniGeGeneva1205Switzerland
| | - Daniel Bojar
- Department of Chemistry and Molecular BiologyUniversity of GothenburgGothenburg41390Sweden
- Wallenberg Centre for Molecular and Translational MedicineUniversity of GothenburgGothenburg41390Sweden
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