1
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Granato DC, Carnielli CM, Trino LD, Busso-Lopes AF, Câmara GA, Normando AGC, Filho HVR, Domingues R, Yokoo S, Pauletti BA, Patroni FM, Santos-Silva AR, Lopes MA, Brandão TB, Prado-Ribeiro AC, Lopes-de Oliveira PS, Telles GP, Paes Leme AF. Mapping Conformational Changes in the Saliva Proteome Potentially Associated with Oral Cancer Aggressiveness. J Proteome Res 2024; 23:2148-2159. [PMID: 38785273 PMCID: PMC11166140 DOI: 10.1021/acs.jproteome.4c00093] [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: 02/08/2024] [Revised: 04/19/2024] [Accepted: 05/03/2024] [Indexed: 05/25/2024]
Abstract
Diverse proteomics-based strategies have been applied to saliva to quantitatively identify diagnostic and prognostic targets for oral cancer. Considering that these targets may be regulated by events that do not imply variation in protein abundance levels, we hypothesized that changes in protein conformation can be associated with diagnosis and prognosis, revealing biological processes and novel targets of clinical relevance. For this, we employed limited proteolysis-mass spectrometry in saliva samples to explore structural alterations, comparing the proteome of healthy control and oral squamous cell carcinoma (OSCC) patients with and without lymph node metastasis. Thirty-six proteins with potential structural rearrangements were associated with clinical patient features including transketolase and its interacting partners. Moreover, N-glycosylated peptides contribute to structural rearrangements of potential diagnostic and prognostic markers. Altogether, this approach utilizes saliva proteins to search for targets for diagnosing and prognosing oral cancer and can guide the discovery of potential regulated sites beyond protein-level abundance.
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Affiliation(s)
- Daniela C. Granato
- Laboratório
Nacional de Biociências (LNBio), Centro Nacional de Pesquisa em Energia e Materiais (CNPEM), Campinas, São Paulo 13083-970, Brazil
| | - Carolina M. Carnielli
- Laboratório
Nacional de Biociências (LNBio), Centro Nacional de Pesquisa em Energia e Materiais (CNPEM), Campinas, São Paulo 13083-970, Brazil
| | - Luciana D. Trino
- Laboratório
Nacional de Biociências (LNBio), Centro Nacional de Pesquisa em Energia e Materiais (CNPEM), Campinas, São Paulo 13083-970, Brazil
| | - Ariane F. Busso-Lopes
- Laboratório
Nacional de Biociências (LNBio), Centro Nacional de Pesquisa em Energia e Materiais (CNPEM), Campinas, São Paulo 13083-970, Brazil
| | - Guilherme A. Câmara
- Laboratório
Nacional de Biociências (LNBio), Centro Nacional de Pesquisa em Energia e Materiais (CNPEM), Campinas, São Paulo 13083-970, Brazil
| | - Ana Gabriela C. Normando
- Laboratório
Nacional de Biociências (LNBio), Centro Nacional de Pesquisa em Energia e Materiais (CNPEM), Campinas, São Paulo 13083-970, Brazil
| | - Helder V. R. Filho
- Laboratório
Nacional de Biociências (LNBio), Centro Nacional de Pesquisa em Energia e Materiais (CNPEM), Campinas, São Paulo 13083-970, Brazil
| | - Romênia
R. Domingues
- Laboratório
Nacional de Biociências (LNBio), Centro Nacional de Pesquisa em Energia e Materiais (CNPEM), Campinas, São Paulo 13083-970, Brazil
| | - Sami Yokoo
- Laboratório
Nacional de Biociências (LNBio), Centro Nacional de Pesquisa em Energia e Materiais (CNPEM), Campinas, São Paulo 13083-970, Brazil
| | - Bianca A. Pauletti
- Laboratório
Nacional de Biociências (LNBio), Centro Nacional de Pesquisa em Energia e Materiais (CNPEM), Campinas, São Paulo 13083-970, Brazil
| | - Fabio M. Patroni
- Centro
de Biologia Molecular e Engenharia Genética, Universidade Estadual de Campinas (UNICAMP), Campinas 13083-875, Brazil
| | - Alan R. Santos-Silva
- Departamento
de Diagnóstico Oral, Faculdade de Odontologia de Piracicaba, Universidade Estadual de Campinas (UNICAMP), Piracicaba, SP 13414-903, Brazil
| | - Márcio A. Lopes
- Departamento
de Diagnóstico Oral, Faculdade de Odontologia de Piracicaba, Universidade Estadual de Campinas (UNICAMP), Piracicaba, SP 13414-903, Brazil
| | - Thaís Bianca Brandão
- Instituto
do Câncer do Estado de São Paulo, Octavio Frias de Oliveira, São Paulo 01246-000, Brazil
| | | | - Paulo. S. Lopes-de Oliveira
- Laboratório
Nacional de Biociências (LNBio), Centro Nacional de Pesquisa em Energia e Materiais (CNPEM), Campinas, São Paulo 13083-970, Brazil
| | - Guilherme P. Telles
- Instituto
de Computação, Universidade
Estadual de Campinas (UNICAMP), Campinas, São Paulo 13083-852, Brazil
| | - Adriana F. Paes Leme
- Laboratório
Nacional de Biociências (LNBio), Centro Nacional de Pesquisa em Energia e Materiais (CNPEM), Campinas, São Paulo 13083-970, Brazil
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2
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Bell RJ, Hage DS, Dodds ED. Two-Dimensional Fourier Transform Ion Cyclotron Resonance Mass Spectrometry of N-Linked Glycopeptides. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2024; 35:1208-1216. [PMID: 38713472 DOI: 10.1021/jasms.4c00034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2024]
Abstract
Glycosylation is a common modification across living organisms and plays a central role in understanding biological systems and disease. Our ability to probe the gylcome has grown exponentially in the past several decades. However, further improvements to the analytical toolbox available to researchers would allow for increased capabilities to probe structure and function of biological systems and to improve disease treatment. This article applies the developing technique of two-dimensional Fourier transform ion cyclotron resonance mass spectrometry to a glycoproteomic workflow for the standard glycoproteins coral tree lectin (CTL) and bovine ribonuclease B (BRB) to demonstrate its feasibility as a tool for glycoproteomic workflows. 2D infrared multiphoton dissociation and electron capture dissociation spectra of CTL reveal comparable structural information to their 1D counterparts, confirming the site of glycosylation and monosaccharide composition of the glycan. Spectra collected in 2D of BRB reveal correlation lines of fragment ion scans and vertical precursor ion scans for data collected using infrared multiphoton dissociation and diagonal cleavage lines for data collected by electron capture dissociation. The use of similar techniques for glycoproteomic analysis may prove valuable in instances where chromatographic separation is undesirable or quadrupole isolation is insufficient.
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Affiliation(s)
- Richard J Bell
- Department of Chemistry and University of Nebraska─Lincoln, Lincoln, Nebraska 68588-0304, United States
| | - David S Hage
- Department of Chemistry and University of Nebraska─Lincoln, Lincoln, Nebraska 68588-0304, United States
| | - Eric D Dodds
- Department of Chemistry and University of Nebraska─Lincoln, Lincoln, Nebraska 68588-0304, United States
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3
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Peters-Clarke TM, Coon JJ, Riley NM. Instrumentation at the Leading Edge of Proteomics. Anal Chem 2024; 96:7976-8010. [PMID: 38738990 DOI: 10.1021/acs.analchem.3c04497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/14/2024]
Affiliation(s)
- Trenton M Peters-Clarke
- Department of Chemistry, University of Wisconsin─Madison, Madison, Wisconsin 53706, United States
- Department of Biomolecular Chemistry, University of Wisconsin─Madison, Madison, Wisconsin 53706, United States
| | - Joshua J Coon
- Department of Chemistry, University of Wisconsin─Madison, Madison, Wisconsin 53706, United States
- Department of Biomolecular Chemistry, University of Wisconsin─Madison, Madison, Wisconsin 53706, United States
- Morgridge Institute for Research, Madison, Wisconsin 53715, United States
| | - Nicholas M Riley
- Department of Chemistry, University of Washington, Seattle, Washington 98195, United States
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4
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Helms A, Brodbelt JS. Mass Spectrometry Strategies for O-Glycoproteomics. Cells 2024; 13:394. [PMID: 38474358 DOI: 10.3390/cells13050394] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Revised: 02/19/2024] [Accepted: 02/23/2024] [Indexed: 03/14/2024] Open
Abstract
Glycoproteomics has accelerated in recent decades owing to numerous innovations in the analytical workflow. In particular, new mass spectrometry strategies have contributed to inroads in O-glycoproteomics, a field that lags behind N-glycoproteomics due to several unique challenges associated with the complexity of O-glycosylation. This review will focus on progress in sample preparation, enrichment strategies, and MS/MS techniques for the identification and characterization of O-glycoproteins.
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Affiliation(s)
- Amanda Helms
- Department of Chemistry, The University of Texas at Austin, Austin, TX 78712, USA
| | - Jennifer S Brodbelt
- Department of Chemistry, The University of Texas at Austin, Austin, TX 78712, USA
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5
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Senjor E, Pirro M, Švajger U, Prunk M, Sabotič J, Jewett A, Hensbergen PJ, Perišić Nanut M, Kos J. Different glycosylation profiles of cystatin F alter the cytotoxic potential of natural killer cells. Cell Mol Life Sci 2023; 81:8. [PMID: 38092995 PMCID: PMC10719177 DOI: 10.1007/s00018-023-05041-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 10/13/2023] [Accepted: 11/06/2023] [Indexed: 12/17/2023]
Abstract
Cystatin F, a cysteine peptidase inhibitor, is a potent modulator of NK cytotoxicity. By inhibiting granule-mediated cytotoxicity pathway, cystatin F induces formation of non-functional NK cell stage, called split-anergy. We show that N-glycosylation determines the localization and cellular function of cystatin F. Cystatin F mostly exhibited high-mannose glycosylation in U-937 cells, both high-mannose and complex glycosylation in NK-92 and primary NKs, and predominantly complex glycosylation in super-charged NKs. Manipulating N-glycosylation with kifunensine increased high-mannose glycosylation of cystatin F and lysosome localisation, which decreased cathepsin C activity and reduced NK cytotoxicity. Mannose-6-phosphate could significantly reduce the internalization of extracellular cystatin F. By comparing NK cells with different cytotoxic potentials, we found that high-mannose cystatin F was strongly associated with lysosomes and cathepsin C in NK-92 cell line. In contrast, in highly cytotoxic super-charged NKs, cystatin F with complex glycosylation was associated with the secretory pathway and less prone to inhibit cathepsin C. Modulating glycosylation to alter cystatin F localisation could increase the cytotoxicity of NK cells, thereby enhancing their therapeutic potential for treating cancer patients.
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Affiliation(s)
- Emanuela Senjor
- Department of Biotechnology, Jožef Stefan Institute, Ljubljana, Slovenia
- Faculty of Pharmacy, University of Ljubljana, Aškerčeva Cesta 7, 1000, Ljubljana, Slovenia
| | - Martina Pirro
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
| | - Urban Švajger
- Faculty of Pharmacy, University of Ljubljana, Aškerčeva Cesta 7, 1000, Ljubljana, Slovenia
- Blood Transfusion Centre of Slovenia, Ljubljana, Slovenia
| | - Mateja Prunk
- Department of Biotechnology, Jožef Stefan Institute, Ljubljana, Slovenia
| | - Jerica Sabotič
- Department of Biotechnology, Jožef Stefan Institute, Ljubljana, Slovenia
| | - Anahid Jewett
- Division of Oral Biology and Medicine, The Jane and Jerry Weintraub Center for Reconstructive Biotechnology, School of Dentistry, University of California Los Angeles, Los Angeles, USA
- The Jonsson Comprehensive Cancer Center, Los Angeles, USA
| | - Paul J Hensbergen
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Janko Kos
- Department of Biotechnology, Jožef Stefan Institute, Ljubljana, Slovenia.
- Faculty of Pharmacy, University of Ljubljana, Aškerčeva Cesta 7, 1000, Ljubljana, Slovenia.
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6
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Chongsaritsinsuk J, Steigmeyer AD, Mahoney KE, Rosenfeld MA, Lucas TM, Smith CM, Li A, Ince D, Kearns FL, Battison AS, Hollenhorst MA, Judy Shon D, Tiemeyer KH, Attah V, Kwon C, Bertozzi CR, Ferracane MJ, Lemmon MA, Amaro RE, Malaker SA. Glycoproteomic landscape and structural dynamics of TIM family immune checkpoints enabled by mucinase SmE. Nat Commun 2023; 14:6169. [PMID: 37794035 PMCID: PMC10550946 DOI: 10.1038/s41467-023-41756-y] [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: 02/05/2023] [Accepted: 09/11/2023] [Indexed: 10/06/2023] Open
Abstract
Mucin-domain glycoproteins are densely O-glycosylated and play critical roles in a host of biological functions. In particular, the T cell immunoglobulin and mucin-domain containing family of proteins (TIM-1, -3, -4) decorate immune cells and act as key regulators in cellular immunity. However, their dense O-glycosylation remains enigmatic, primarily due to the challenges associated with studying mucin domains. Here, we demonstrate that the mucinase SmE has a unique ability to cleave at residues bearing very complex glycans. SmE enables improved mass spectrometric analysis of several mucins, including the entire TIM family. With this information in-hand, we perform molecular dynamics (MD) simulations of TIM-3 and -4 to understand how glycosylation affects structural features of these proteins. Finally, we use these models to investigate the functional relevance of glycosylation for TIM-3 function and ligand binding. Overall, we present a powerful workflow to better understand the detailed molecular structures and functions of the mucinome.
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Affiliation(s)
| | | | - Keira E Mahoney
- Department of Chemistry, Yale University, New Haven, CT, 06511, USA
| | - Mia A Rosenfeld
- Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, CA, 92093, USA
| | - Taryn M Lucas
- Department of Chemistry, Yale University, New Haven, CT, 06511, USA
| | - Courtney M Smith
- Yale Cancer Biology Institute and Department of Pharmacology, Yale University School of Medicine, New Haven, CT, 06520, USA
| | - Alice Li
- Yale Cancer Biology Institute and Department of Pharmacology, Yale University School of Medicine, New Haven, CT, 06520, USA
| | - Deniz Ince
- Department of Chemistry, Yale University, New Haven, CT, 06511, USA
| | - Fiona L Kearns
- Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, CA, 92093, USA
| | | | - Marie A Hollenhorst
- Department of Chemistry and Sarafan ChEM-H, Stanford University, Stanford, CA, 94305, USA
- Department of Pathology, Stanford University, Stanford, CA, 94305, USA
- Department of Medicine, Division of Hematology, Stanford University, Stanford, CA, 94305, USA
| | - D Judy Shon
- Department of Chemistry and Sarafan ChEM-H, Stanford University, Stanford, CA, 94305, USA
| | - Katherine H Tiemeyer
- Department of Chemistry and Sarafan ChEM-H, Stanford University, Stanford, CA, 94305, USA
| | - Victor Attah
- Department of Chemistry, Yale University, New Haven, CT, 06511, USA
| | - Catherine Kwon
- Department of Chemistry, Yale University, New Haven, CT, 06511, USA
| | - Carolyn R Bertozzi
- Department of Chemistry and Sarafan ChEM-H, Stanford University, Stanford, CA, 94305, USA
- Howard Hughes Medical Institute, Stanford University, Stanford, CA, 94305, USA
| | | | - Mark A Lemmon
- Yale Cancer Biology Institute and Department of Pharmacology, Yale University School of Medicine, New Haven, CT, 06520, USA
| | - Rommie E Amaro
- Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, CA, 92093, USA
- Glycobiology Research and Training Center, University of California, San Diego, La Jolla, CA, 92093, USA
| | - Stacy A Malaker
- Department of Chemistry, Yale University, New Haven, CT, 06511, USA.
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7
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van der Burgt Y, Wuhrer M. The role of clinical glyco(proteo)mics in precision medicine. Mol Cell Proteomics 2023:100565. [PMID: 37169080 DOI: 10.1016/j.mcpro.2023.100565] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 04/12/2023] [Accepted: 05/02/2023] [Indexed: 05/13/2023] Open
Abstract
Glycoproteomics reveals site-specific O- and N-glycosylation that may influence protein properties including binding, activity and half-life. The increasingly mature toolbox with glycomic- and glycoproteomic strategies is applied for the development of biopharmaceuticals and discovery and clinical evaluation of glycobiomarkers in various disease fields. Notwithstanding the contributions of glycoscience in identifying new drug targets, the current report is focused on the biomarker modality that is of interest for diagnostic and monitoring purposes. To this end it is noted that the identification of biomarkers has received more attention than corresponding quantification. Most analytical methods are very efficient in detecting large numbers of analytes but developments to accurately quantify these have so far been limited. In this perspective a parallel is made with earlier proposed tiers for protein quantification using mass spectrometry. Moreover, the foreseen reporting of multimarker readouts is discussed to describe an individual's health or disease state and their role in clinical decision-making. The potential of longitudinal sampling and monitoring of glycomic features for diagnosis and treatment monitoring is emphasized. Finally, different strategies that address quantification of a multimarker panel will be discussed.
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Affiliation(s)
- Yuri van der Burgt
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands.
| | - Manfred Wuhrer
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
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8
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Bangarh R, Khatana C, Kaur S, Sharma A, Kaushal A, Siwal SS, Tuli HS, Dhama K, Thakur VK, Saini RV, Saini AK. Aberrant protein glycosylation: Implications on diagnosis and Immunotherapy. Biotechnol Adv 2023; 66:108149. [PMID: 37030554 DOI: 10.1016/j.biotechadv.2023.108149] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 03/10/2023] [Accepted: 04/04/2023] [Indexed: 04/10/2023]
Abstract
Glycosylation-mediated post-translational modification is critical for regulating many fundamental processes like cell division, differentiation, immune response, and cell-to-cell interaction. Alterations in the N-linked or O-linked glycosylation pattern of regulatory proteins like transcription factors or cellular receptors lead to many diseases, including cancer. These alterations give rise to micro- and macro-heterogeneity in tumor cells. Here, we review the role of O- and N-linked glycosylation and its regulatory function in autoimmunity and aberrant glycosylation in cancer. The change in cellular glycome could result from a change in the expression of glycosidases or glycosyltransferases like N-acetyl-glucosaminyl transferase V, FUT8, ST6Gal-I, DPAGT1, etc., impact the glycosylation of target proteins leading to transformation. Moreover, the mutations in glycogenes affect glycosylation patterns on immune cells leading to other related manifestations like pro- or anti-inflammatory effects. In recent years, understanding the glycome to cancer indicates that it can be utilized for both diagnosis/prognosis as well as immunotherapy. Studies involving mass spectrometry of proteome, site- and structure-specific glycoproteomics, or transcriptomics/genomics of patient samples and cancer models revealed the importance of glycosylation homeostasis in cancer biology. The development of emerging technologies, such as the lectin microarray, has facilitated research on the structure and function of glycans and glycosylation. Newly developed devices allow for high-throughput, high-speed, and precise research on aberrant glycosylation. This paper also discusses emerging technologies and clinical applications of glycosylation.
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Affiliation(s)
- Rashmi Bangarh
- Department of Biotechnology, MMEC, Maharishi Markandeshwar (Deemed to Be University), Mullana-Ambala, Haryana 133207, India
| | - Chainika Khatana
- Department of Biotechnology, MMEC, Maharishi Markandeshwar (Deemed to Be University), Mullana-Ambala, Haryana 133207, India
| | - Simranjeet Kaur
- Department of Biotechnology, MMEC, Maharishi Markandeshwar (Deemed to Be University), Mullana-Ambala, Haryana 133207, India
| | - Anchita Sharma
- Division of Biology, Indian Institute of Science Education and Research, Tirupati, Andhra Pradesh 517641, India
| | - Ankur Kaushal
- Department of Biotechnology, MMEC, Maharishi Markandeshwar (Deemed to Be University), Mullana-Ambala, Haryana 133207, India
| | - Samarjeet Singh Siwal
- Department of Chemistry, MMEC, Maharishi Markandeshwar (Deemed to Be University), Mullana-Ambala, Haryana 133207, India
| | - Hardeep Singh Tuli
- Department of Biotechnology, MMEC, Maharishi Markandeshwar (Deemed to Be University), Mullana-Ambala, Haryana 133207, India
| | - Kuldeep Dhama
- Division of Pathology, ICAR-Indian Veterinary Research Institute, Bareilly 243122, Uttar Pradesh, India
| | - Vijay Kumar Thakur
- Biorefining and Advanced Materials Research Center, Scotland's Rural College (SRUC), Kings Buildings, West Mains Road, Edinburgh EH9 3JG, United Kingdom; School of Engineering, University of Petroleum & Energy Studies (UPES), Dehradun 248007, Uttarakhand, India.
| | - Reena V Saini
- Department of Biotechnology, MMEC, Maharishi Markandeshwar (Deemed to Be University), Mullana-Ambala, Haryana 133207, India
| | - Adesh K Saini
- Department of Biotechnology, MMEC, Maharishi Markandeshwar (Deemed to Be University), Mullana-Ambala, Haryana 133207, India
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9
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Chau TH, Chernykh A, Kawahara R, Thaysen-Andersen M. Critical considerations in N-glycoproteomics. Curr Opin Chem Biol 2023; 73:102272. [PMID: 36758418 DOI: 10.1016/j.cbpa.2023.102272] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 12/30/2022] [Accepted: 01/05/2023] [Indexed: 02/10/2023]
Abstract
N-Glycoproteomics, the system-wide study of glycans asparagine-linked to protein carriers, holds a unique and still largely untapped potential to provide deep insights into the complexity and dynamics of the heterogeneous N-glycoproteome. Despite the advent of innovative analytical and informatics tools aiding the analysis, N-glycoproteomics remains challenging and consequently largely restricted to specialised laboratories. Aiming to stimulate discussions of method harmonisation, data standardisation and reporting guidelines to make N-glycoproteomics more reproducible and accessible to the community, we here discuss critical considerations related to the design and execution of N-glycoproteomics experiments and highlight good practices in N-glycopeptide data collection, analysis, interpretation and sharing. Giving the rapid maturation and, expectedly, a wide-spread implementation of N-glycoproteomics capabilities across the community in future years, this piece aims to point out common pitfalls, to encourage good data sharing and documentation practices, and to highlight practical solutions and strategies to enhance the insight into the N-glycoproteome.
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Affiliation(s)
- The Huong Chau
- School of Natural Sciences, Faculty of Science and Engineering, Macquarie University, Sydney, Australia; Biomolecular Discovery Research Centre, Macquarie University, Sydney, Australia
| | - Anastasia Chernykh
- School of Natural Sciences, Faculty of Science and Engineering, Macquarie University, Sydney, Australia; Biomolecular Discovery Research Centre, Macquarie University, Sydney, Australia
| | - Rebeca Kawahara
- School of Natural Sciences, Faculty of Science and Engineering, Macquarie University, Sydney, Australia; Biomolecular Discovery Research Centre, Macquarie University, Sydney, Australia
| | - Morten Thaysen-Andersen
- School of Natural Sciences, Faculty of Science and Engineering, Macquarie University, Sydney, Australia; Biomolecular Discovery Research Centre, Macquarie University, Sydney, Australia; Institute for Glyco-core Research (iGCORE), Nagoya University, Nagoya, Japan.
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10
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Madunić K, Luijkx YMCA, Mayboroda OA, Janssen GMC, van Veelen PA, Strijbis K, Wennekes T, Lageveen-Kammeijer GSM, Wuhrer M. O-Glycomic and Proteomic Signatures of Spontaneous and Butyrate-Stimulated Colorectal Cancer Cell Line Differentiation. Mol Cell Proteomics 2023; 22:100501. [PMID: 36669592 PMCID: PMC9999233 DOI: 10.1016/j.mcpro.2023.100501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2022] [Revised: 01/08/2023] [Accepted: 01/11/2023] [Indexed: 01/19/2023] Open
Abstract
Gut microbiota of the gastrointestinal tract provide health benefits to the human host via bacterial metabolites. Bacterial butyrate has beneficial effects on intestinal homeostasis and is the preferred energy source of intestinal epithelial cells, capable of inducing differentiation. It was previously observed that changes in the expression of specific proteins as well as protein glycosylation occur with differentiation. In this study, specific mucin O-glycans were identified that mark butyrate-induced epithelial differentiation of the intestinal cell line CaCo-2 (Cancer Coli-2), by applying porous graphitized carbon nano-liquid chromatography with electrospray ionization tandem mass spectrometry. Moreover, a quantitative proteomic approach was used to decipher changes in the cell proteome. It was found that the fully differentiated butyrate-stimulated cells are characterized by a higher expression of sialylated O-glycan structures, whereas fucosylation is downregulated with differentiation. By performing an integrative approach, we generated hypotheses about the origin of the observed O-glycome changes. These insights pave the way for future endeavors to study the dynamic O-glycosylation patterns in the gut, either produced via cellular biosynthesis or through the action of bacterial glycosidases as well as the functional role of these patterns in homeostasis and dysbiosis at the gut-microbiota interface.
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Affiliation(s)
- K Madunić
- Center for Proteomics and Metabolomics, Leiden University, The Netherlands
| | - Y M C A Luijkx
- Department Chemical Biology and Drug Discovery, Utrecht Institute for Pharmaceutical Sciences and Bijvoet Center for Biomolecular Research, Utrecht University, Utrecht, The Netherlands; Department Biomolecular Health Sciences, Utrecht University, Utrecht, The Netherlands
| | - O A Mayboroda
- Center for Proteomics and Metabolomics, Leiden University, The Netherlands
| | - G M C Janssen
- Center for Proteomics and Metabolomics, Leiden University, The Netherlands
| | - P A van Veelen
- Center for Proteomics and Metabolomics, Leiden University, The Netherlands
| | - K Strijbis
- Department Biomolecular Health Sciences, Utrecht University, Utrecht, The Netherlands
| | - T Wennekes
- Department Chemical Biology and Drug Discovery, Utrecht Institute for Pharmaceutical Sciences and Bijvoet Center for Biomolecular Research, Utrecht University, Utrecht, The Netherlands
| | | | - M Wuhrer
- Center for Proteomics and Metabolomics, Leiden University, The Netherlands.
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11
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Semi-Automated Lectin Magnetic Bead Array (LeMBA) for Translational Serum Glycoprotein Biomarker Discovery and Validation. Methods Mol Biol 2023; 2628:395-411. [PMID: 36781799 DOI: 10.1007/978-1-0716-2978-9_25] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/15/2023]
Abstract
Aberrant protein glycosylation is a characteristic of diverse diseases which has been explored as biomarkers. To support translational serum glycoprotein biomarker discovery and validation, we developed a semi-automated workflow using individual lectin-coupled magnetic beads to conduct lectin pulldowns in a high-throughput format. Lectins are naturally occurring glycoprotein binding proteins widely used in glycobiology. While lectin-affinity isolation has been coupled to mass spectrometry-based proteomics, the lectin magnetic bead array (LeMBA) platform allows technically robust screening and measurement of clinical cohorts. This chapter describes detailed lectin-magnetic bead coupling, serum denaturation, lectin magnetic bead pulldown, and on-bead trypsin digest. The resulting tryptic peptides are analyzed by untargeted or targeted liquid chromatography-mass spectrometry (LC-MS), for biomarker discovery, or qualification/validation, respectively. LeMBA-MS generates quantitative data for glycoforms based on lectin affinity of the glycoprotein coupled with MS measurement of one or more prototypic peptides and has successfully been used to discover and validate novel serum cancer glycoprotein biomarkers. This chapter includes detailed protocols for two different liquid handlers, along with recommendations on quality control measures for clinical biomarker studies.
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12
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Chongsaritsinsuk J, Steigmeyer AD, Mahoney KE, Rosenfeld MA, Lucas TM, Ince D, Kearns FL, Battison AS, Hollenhorst MA, Shon DJ, Tiemeyer KH, Attah V, Kwon C, Bertozzi CR, Ferracane MJ, Amaro RE, Malaker SA. Glycoproteomic landscape and structural dynamics of TIM family immune checkpoints enabled by mucinase SmE. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.02.01.526488. [PMID: 36778266 PMCID: PMC9915616 DOI: 10.1101/2023.02.01.526488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/09/2023]
Abstract
Mucin-domain glycoproteins are densely O-glycosylated and play critical roles in a host of biological functions. In particular, the T cell immunoglobulin and mucin-domain containing family of proteins (TIM-1, -3, -4) decorate immune cells and act as key checkpoint inhibitors in cancer. However, their dense O-glycosylation remains enigmatic both in terms of glycoproteomic landscape and structural dynamics, primarily due to the challenges associated with studying mucin domains. Here, we present a mucinase (SmE) and demonstrate its ability to selectively cleave along the mucin glycoprotein backbone, similar to others of its kind. Unlike other mucinases, though, SmE harbors the unique ability to cleave at residues bearing extremely complex glycans which enabled improved mass spectrometric analysis of several mucins, including the entire TIM family. With this information in-hand, we performed molecular dynamics (MD) simulations of TIM-3 and -4 to demonstrate how glycosylation affects structural features of these proteins. Overall, we present a powerful workflow to better understand the detailed molecular structures of the mucinome.
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Affiliation(s)
| | | | - Keira E. Mahoney
- Department of Chemistry, Yale University, New Haven, CT 06511, USA
| | - Mia A. Rosenfeld
- Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, CA 92093, USA
| | - Taryn M. Lucas
- Department of Chemistry, Yale University, New Haven, CT 06511, USA
| | - Deniz Ince
- Department of Chemistry, Yale University, New Haven, CT 06511, USA
| | - Fiona L. Kearns
- Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, CA 92093, USA
| | | | - Marie A. Hollenhorst
- Department of Chemistry and Sarafan ChEM-H, Stanford University, Stanford, CA 94305, USA
- Department of Pathology, Stanford University, Stanford, CA 94305, USA
- Department of Medicine, Division of Hematology, Stanford University, Stanford, CA 94305, USA
| | - D. Judy Shon
- Department of Chemistry and Sarafan ChEM-H, Stanford University, Stanford, CA 94305, USA
| | - Katherine H. Tiemeyer
- Department of Chemistry and Sarafan ChEM-H, Stanford University, Stanford, CA 94305, USA
| | - Victor Attah
- Department of Chemistry, Yale University, New Haven, CT 06511, USA
| | - Catherine Kwon
- Department of Chemistry, Yale University, New Haven, CT 06511, USA
| | - Carolyn R. Bertozzi
- Department of Chemistry and Sarafan ChEM-H, Stanford University, Stanford, CA 94305, USA
- Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA
| | | | - Rommie E. Amaro
- Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, CA 92093, USA
- Glycobiology Research and Training Center, University of California, San Diego, La Jolla, CA 92093, USA
| | - Stacy A. Malaker
- Department of Chemistry, Yale University, New Haven, CT 06511, USA
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13
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Barrett K, Dube DH. Chemical tools to study bacterial glycans: a tale from discovery of glycoproteins to disruption of their function. Isr J Chem 2023; 63:e202200050. [PMID: 37324574 PMCID: PMC10266715 DOI: 10.1002/ijch.202200050] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Indexed: 01/02/2024]
Abstract
Bacteria coat themselves with a dense array of cell envelope glycans that enhance bacterial fitness and promote survival. Despite the importance of bacterial glycans, their systematic study and perturbation remains challenging. Chemical tools have made important inroads toward understanding and altering bacterial glycans. This review describes how pioneering discoveries from Prof. Carolyn Bertozzi's laboratory inspired our laboratory to develop sugar probes to facilitate the study of bacterial glycans. As described below, we used metabolic glycan labelling to install bioorthogonal reporters into bacterial glycans, ultimately permitting the discovery of a protein glycosylation system, the identification of glycosylation genes, and the development of metabolic glycan inhibitors. Our results have provided an approach to screen bacterial glycans and gain insight into their function, even in the absence of detailed structural information.
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Affiliation(s)
- Katharine Barrett
- Department of Chemistry & Biochemistry, Bowdoin College, 6600 College Station, Brunswick, ME 04011 USA
| | - Danielle H Dube
- Department of Chemistry & Biochemistry, Bowdoin College, 6600 College Station, Brunswick, ME 04011 USA
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14
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Chau TH, Chernykh A, Ugonotti J, Parker BL, Kawahara R, Thaysen-Andersen M. Glycomics-Assisted Glycoproteomics Enables Deep and Unbiased N-Glycoproteome Profiling of Complex Biological Specimens. Methods Mol Biol 2023; 2628:235-263. [PMID: 36781790 DOI: 10.1007/978-1-0716-2978-9_16] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/25/2023]
Abstract
Mass spectrometry-driven glycomics and glycoproteomics, the system-wide profiling of detached glycans and intact glycopeptides from biological samples, respectively, are powerful approaches to interrogate the heterogenous glycoproteome. Efforts to develop integrated workflows employing both glycomics and glycoproteomics have been invested since the concerted application of these complementary approaches enables a deeper exploration of the glycoproteome. This protocol paper outlines, step-by-step, an integrated -omics technology, the "glycomics-assisted glycoproteomics" method, that first establishes the N-glycan fine structures and their quantitative distribution pattern of protein extracts via porous graphitized carbon-LC-MS/MS. The N-glycome information is then used to augment and guide the challenging reversed-phase LC-MS/MS-based profiling of intact N-glycopeptides from the same protein samples. Experimental details and considerations relating to the sample preparation and the N-glycomics and N-glycoproteomics data collection, analysis, and integration are discussed. Benefits of the glycomics-assisted glycoproteomics method, which can be readily applied to both simple and complex biological specimens such as protein extracts from cells, tissues, and bodily fluids (e.g., serum), include quantitative information of the protein carriers and site(s) of glycosylation, site occupancy, and the site-specific glycan structures directly from biological samples. The glycomics-assisted glycoproteomics method therefore facilitates a comprehensive view of the complexity and dynamics of the heterogenous glycoproteome.
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Affiliation(s)
- The Huong Chau
- School of Natural Sciences, Faculty of Science and Engineering, Macquarie University, Sydney, NSW, Australia
- Biomolecular Discovery Research Centre, Macquarie University, Sydney, NSW, Australia
| | - Anastasia Chernykh
- School of Natural Sciences, Faculty of Science and Engineering, Macquarie University, Sydney, NSW, Australia
- Biomolecular Discovery Research Centre, Macquarie University, Sydney, NSW, Australia
| | - Julian Ugonotti
- School of Natural Sciences, Faculty of Science and Engineering, Macquarie University, Sydney, NSW, Australia
- Biomolecular Discovery Research Centre, Macquarie University, Sydney, NSW, Australia
| | - Benjamin L Parker
- Department of Anatomy and Physiology, School of Biomedical Sciences, Faculty of Medicine Dentistry and Health Sciences, University of Melbourne, Melbourne, VIC, Australia
| | - Rebeca Kawahara
- School of Natural Sciences, Faculty of Science and Engineering, Macquarie University, Sydney, NSW, Australia
- Biomolecular Discovery Research Centre, Macquarie University, Sydney, NSW, Australia
| | - Morten Thaysen-Andersen
- School of Natural Sciences, Faculty of Science and Engineering, Macquarie University, Sydney, NSW, Australia.
- Biomolecular Discovery Research Centre, Macquarie University, Sydney, NSW, Australia.
- Institute for Glyco-core Research (iGCORE), Nagoya University, Nagoya, Aichi, Japan.
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15
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Pegg CL, Schulz BL, Neely BA, Albery GF, Carlson CJ. Glycosylation and the global virome. Mol Ecol 2023; 32:37-44. [PMID: 36217579 PMCID: PMC10947461 DOI: 10.1111/mec.16731] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 09/25/2022] [Accepted: 09/29/2022] [Indexed: 12/29/2022]
Abstract
The sugars that coat the outsides of viruses and host cells are key to successful disease transmission, but they remain understudied compared to other molecular features. Understanding the comparative zoology of glycosylation - and harnessing it for predictive science - could help close the molecular gap in zoonotic risk assessment.
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Affiliation(s)
- Cassandra L. Pegg
- School of Chemistry and Molecular BiosciencesThe University of QueenslandSt LuciaQueenslandAustralia
| | - Benjamin L. Schulz
- School of Chemistry and Molecular BiosciencesThe University of QueenslandSt LuciaQueenslandAustralia
| | - Benjamin A. Neely
- National Institute of Standards and TechnologyCharlestonSouth CarolinaUSA
| | - Gregory F. Albery
- Department of BiologyGeorgetown UniversityWashingtonDistrict of ColumbiaUSA
| | - Colin J. Carlson
- Department of BiologyGeorgetown UniversityWashingtonDistrict of ColumbiaUSA
- Department of Microbiology and ImmunologyGeorgetown University Medical CenterWashingtonDistrict of ColumbiaUSA
- Center for Global Health Science and SecurityGeorgetown University Medical CenterWashingtonDistrict of ColumbiaUSA
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16
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Doud EH, Yeh ES. Mass Spectrometry-Based Glycoproteomic Workflows for Cancer Biomarker Discovery. Technol Cancer Res Treat 2023; 22:15330338221148811. [PMID: 36740994 PMCID: PMC9903044 DOI: 10.1177/15330338221148811] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Glycosylation has a clear role in cancer initiation and progression, with numerous studies identifying distinct glycan features or specific glycoproteoforms associated with cancer. Common findings include that aggressive cancers tend to have higher expression levels of enzymes that regulate glycosylation as well as glycoproteins with greater levels of complexity, increased branching, and enhanced chain length1. Research in cancer glycoproteomics over the last 50-plus years has mainly focused on technology development used to observe global changes in glycosylation. Efforts have also been made to connect glycans to their protein carriers as well as to delineate the role of these modifications in intracellular signaling and subsequent cell function. This review discusses currently available techniques utilizing mass spectrometry-based technologies used to study glycosylation and highlights areas for future advancement.
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Affiliation(s)
- Emma H. Doud
- Center for Proteome Analysis, Indiana University School of Medicine, Indianapolis, USA
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, USA
- IU Simon Comprehensive Cancer Center, Indiana University School of Medicine, Indianapolis, USA
| | - Elizabeth S. Yeh
- IU Simon Comprehensive Cancer Center, Indiana University School of Medicine, Indianapolis, USA
- Department of Pharmacology and Toxicology, Indiana University School of Medicine, Indianapolis, USA
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17
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Baboo S, Diedrich JK, Martínez-Bartolomé S, Wang X, Schiffner T, Groschel B, Schief WR, Paulson JC, Yates JR. DeGlyPHER: Highly sensitive site-specific analysis of N-linked glycans on proteins. Methods Enzymol 2022; 682:137-185. [PMID: 36948700 PMCID: PMC11032187 DOI: 10.1016/bs.mie.2022.09.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Traditional mass spectrometry-based glycoproteomic approaches have been widely used for site-specific N-glycoform analysis, but a large amount of starting material is needed to obtain sampling that is representative of the vast diversity of N-glycans on glycoproteins. These methods also often include a complicated workflow and very challenging data analysis. These limitations have prevented glycoproteomics from being adapted to high-throughput platforms, and the sensitivity of the analysis is currently inadequate for elucidating N-glycan heterogeneity in clinical samples. Heavily glycosylated spike proteins of enveloped viruses, recombinantly expressed as potential vaccines, are prime targets for glycoproteomic analysis. Since the immunogenicity of spike proteins may be impacted by their glycosylation patterns, site-specific analysis of N-glycoforms provides critical information for vaccine design. Using recombinantly expressed soluble HIV Env trimer, we describe DeGlyPHER, a modification of our previously reported sequential deglycosylation strategy to yield a "single-pot" process. DeGlyPHER is an ultrasensitive, simple, rapid, robust, and efficient approach for site-specific analysis of protein N-glycoforms, that we developed for analysis of limited quantities of glycoproteins.
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Affiliation(s)
- Sabyasachi Baboo
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA, United States.
| | - Jolene K Diedrich
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA, United States
| | | | - Xiaoning Wang
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA, United States
| | - Torben Schiffner
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, United States; IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA, United States; The Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology and Harvard, Cambridge, MA, United States
| | - Bettina Groschel
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, United States; IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA, United States
| | - William R Schief
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, United States; IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA, United States; The Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology and Harvard, Cambridge, MA, United States
| | - James C Paulson
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA, United States; Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, United States
| | - John R Yates
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA, United States.
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18
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Riley NM, Bertozzi CR. Deciphering O-glycoprotease substrate preferences with O-Pair Search. Mol Omics 2022; 18:908-922. [PMID: 36373229 PMCID: PMC10010678 DOI: 10.1039/d2mo00244b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
O-Glycoproteases are an emerging class of enzymes that selectively digest glycoproteins at positions decorated with specific O-linked glycans. O-Glycoprotease substrates range from any O-glycoprotein (albeit with specific O-glycan modifications) to only glycoproteins harboring specific O-glycosylated sequence motifs, such as those found in mucin domains. Their utility for multiple glycoproteomic applications is driving the search to both discover new O-glycoproteases and to understand how structural features of characterized O-glycoproteases influence their substrate specificities. One challenge of defining O-glycoprotease specificity restraints is the need to characterize O-glycopeptides with site-specific analysis of O-glycosites. Here, we demonstrate how O-Pair Search, a recently developed O-glycopeptide-centric identification platform that enables rapid searches and confident O-glycosite localization, can be used to determine substrate specificities of various O-glycoproteases de novo from LC-MS/MS data of O-glycopeptides. Using secreted protease of C1 esterase inhibitor (StcE) from enterohemorrhagic Escherichia coli and O-endoprotease OgpA from Akkermansia mucinophila, we explore numerous settings that effect O-glycopeptide identification and show how non-specific and semi-tryptic searches of O-glycopeptide data can produce candidate cleavage motifs. These putative motifs can be further used to define new protease cleavage settings that lower search times and improve O-glycopeptide identifications. We use this platform to generate a consensus motif for the recently characterized immunomodulating metalloprotease (IMPa) from Pseudomonas aeruginosa and show that IMPa is a favorable O-glycoprotease for characterizing densely O-glycosylated mucin-domain glycoproteins.
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Affiliation(s)
- Nicholas M Riley
- Department of Chemistry, Sarafan ChEM-H, Stanford University, Stanford, California, USA.
| | - Carolyn R Bertozzi
- Department of Chemistry, Sarafan ChEM-H, Stanford University, Stanford, California, USA. .,Howard Hughes Medical Institute, Stanford, California, USA
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19
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Abstract
Artificial intelligence (AI) methods have been and are now being increasingly integrated in prediction software implemented in bioinformatics and its glycoscience branch known as glycoinformatics. AI techniques have evolved in the past decades, and their applications in glycoscience are not yet widespread. This limited use is partly explained by the peculiarities of glyco-data that are notoriously hard to produce and analyze. Nonetheless, as time goes, the accumulation of glycomics, glycoproteomics, and glycan-binding data has reached a point where even the most recent deep learning methods can provide predictors with good performance. We discuss the historical development of the application of various AI methods in the broader field of glycoinformatics. A particular focus is placed on shining a light on challenges in glyco-data handling, contextualized by lessons learnt from related disciplines. Ending on the discussion of state-of-the-art deep learning approaches in glycoinformatics, we also envision the future of glycoinformatics, including development that need to occur in order to truly unleash the capabilities of glycoscience in the systems biology era.
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Affiliation(s)
- Daniel Bojar
- Department
of Chemistry and Molecular Biology, University
of Gothenburg, Gothenburg 41390, Sweden
- Wallenberg
Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg 41390, Sweden
| | - Frederique Lisacek
- Proteome
Informatics Group, Swiss Institute of Bioinformatics, CH-1227 Geneva, Switzerland
- Computer
Science Department & Section of Biology, University of Geneva, route de Drize 7, CH-1227, Geneva, Switzerland
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20
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Abstract
Apolipoproteins, the protein component of lipoproteins, play an important role in lipid transport, lipoprotein assembly, and receptor recognition. Apolipoproteins are glycosylated and the glycan moieties play an integral role in apolipoprotein function. Changes in apolipoprotein glycosylation correlate with several diseases manifesting in dyslipidemias. Despite their relevance in apolipoprotein function and diseases, the total glycan repertoire of most apolipoproteins remains undefined. This review summarizes the current knowledge and knowledge gaps regarding human apolipoprotein glycan composition, structure, glycosylation site, and functions. Given the relevance of glycosylation to apolipoprotein function, we expect that future studies of apolipoprotein glycosylation will contribute new understanding of disease processes and uncover relevant biomarkers and therapeutic targets. Considering these future efforts, we also provide a brief overview of current mass spectrometry based technologies that can be applied to define detailed glycan structures, site-specific compositions, and the role of emerging approaches for clinical applications in biomarker discovery and personalized medicine.
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21
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Griffin ME, Hsieh-Wilson LC. Tools for mammalian glycoscience research. Cell 2022; 185:2657-2677. [PMID: 35809571 PMCID: PMC9339253 DOI: 10.1016/j.cell.2022.06.016] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 06/08/2022] [Accepted: 06/08/2022] [Indexed: 10/17/2022]
Abstract
Cellular carbohydrates or glycans are critical mediators of biological function. Their remarkably diverse structures and varied activities present exciting opportunities for understanding many areas of biology. In this primer, we discuss key methods and recent breakthrough technologies for identifying, monitoring, and manipulating glycans in mammalian systems.
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Affiliation(s)
- Matthew E. Griffin
- Department of Chemistry, University of California Irvine, Irvine, CA 92697, USA
| | - Linda C. Hsieh-Wilson
- Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 92115, USA,Correspondence: (L.C.H.W.)
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22
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Gramlich M, Maier S, Kaiser PD, Traenkle B, Wagner TR, Voglmeir J, Stoll D, Rothbauer U, Zeck A. A Novel PNGase Rc for Improved Protein N-Deglycosylation in Bioanalytics and Hydrogen-Deuterium Exchange Coupled With Mass Spectrometry Epitope Mapping under Challenging Conditions. Anal Chem 2022; 94:9863-9871. [PMID: 35749695 DOI: 10.1021/acs.analchem.2c01748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
N-linked glycosylation is a ubiquitous posttranslational modification of proteins. While it plays an important role in the biological function of proteins, it often poses a major challenge for their analytical characterization. Currently available peptide N-glycanases (PNGases) are often inefficient at deglycosylating proteins due to sterically inaccessible N-glycosylation sites. This usually leads to poor sequence coverage in bottom-up analysis using liquid chromatography with tandem mass spectrometry and makes it impossible to obtain an intact mass signal in top-down MS analysis. In addition, most PNGases operate optimally only in the neutral to slightly acidic pH range and are severely compromised in the presence of reducing and denaturing substances, which limits their use for advanced bioanalysis based on hydrogen-deuterium exchange in combination with mass spectrometry (HDX-MS). Here, we present a novel peptide N-glycanase from Rudaea cellulosilytica (PNGase Rc) for which we demonstrate broad substrate specificity for N-glycan hydrolysis from multiply occupied and natively folded proteins. Our results show that PNGase Rc is functional even under challenging, HDX quenching conditions (pH 2.5, 0 °C) and in the presence of 0.4 M tris(2-carboxyethyl)phosphine, 4 M urea, and 1 M guanidinium chloride. Most importantly, we successfully applied the PNGase Rc in an HDX-MS workflow to determine the epitope of a nanobody targeting the extracellular domain of human signal-regulating protein alpha (SIRPα).
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Affiliation(s)
- Marius Gramlich
- NMI Natural and Medical Sciences Institute at the University of Tuebingen, Reutlingen 72770, Germany
| | - Sandra Maier
- NMI Natural and Medical Sciences Institute at the University of Tuebingen, Reutlingen 72770, Germany
| | - Philipp D Kaiser
- NMI Natural and Medical Sciences Institute at the University of Tuebingen, Reutlingen 72770, Germany
| | - Bjoern Traenkle
- NMI Natural and Medical Sciences Institute at the University of Tuebingen, Reutlingen 72770, Germany
| | - Teresa R Wagner
- NMI Natural and Medical Sciences Institute at the University of Tuebingen, Reutlingen 72770, Germany.,Pharmaceutical Biotechnology, Eberhard Karls University Tuebingen, Tuebingen 72076, Germany
| | - Josef Voglmeir
- Glycomics and Glycan Bioengineering Research Center (GGBRC), College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, China
| | - Dieter Stoll
- NMI Natural and Medical Sciences Institute at the University of Tuebingen, Reutlingen 72770, Germany.,Department of Life Sciences, University of Applied Sciences Albstadt-Sigmaringen, Sigmaringen 72488, Germany
| | - Ulrich Rothbauer
- NMI Natural and Medical Sciences Institute at the University of Tuebingen, Reutlingen 72770, Germany.,Pharmaceutical Biotechnology, Eberhard Karls University Tuebingen, Tuebingen 72076, Germany
| | - Anne Zeck
- NMI Natural and Medical Sciences Institute at the University of Tuebingen, Reutlingen 72770, Germany
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23
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Stewart N, Wisnovsky S. Bridging Glycomics and Genomics: New Uses of Functional Genetics in the Study of Cellular Glycosylation. Front Mol Biosci 2022; 9:934584. [PMID: 35782863 PMCID: PMC9243437 DOI: 10.3389/fmolb.2022.934584] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Accepted: 05/26/2022] [Indexed: 11/13/2022] Open
Abstract
All living cells are coated with a diverse collection of carbohydrate molecules called glycans. Glycans are key regulators of cell behavior and important therapeutic targets for human disease. Unlike proteins, glycans are not directly templated by discrete genes. Instead, they are produced through multi-gene pathways that generate a heterogenous array of glycoprotein and glycolipid antigens on the cell surface. This genetic complexity has sometimes made it challenging to understand how glycosylation is regulated and how it becomes altered in disease. Recent years, however, have seen the emergence of powerful new functional genomics technologies that allow high-throughput characterization of genetically complex cellular phenotypes. In this review, we discuss how these techniques are now being applied to achieve a deeper understanding of glyco-genomic regulation. We highlight specifically how methods like ChIP-seq, RNA-seq, CRISPR genomic screening and scRNA-seq are being used to map the genomic basis for various cell-surface glycosylation states in normal and diseased cell types. We also offer a perspective on how emerging functional genomics technologies are likely to create further opportunities for studying cellular glycobiology in the future. Taken together, we hope this review serves as a primer to recent developments at the glycomics-genomics interface.
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Affiliation(s)
- Natalie Stewart
- Biochemistry and Microbiology Dept, University of Victoria, Victoria, BC, Canada
- Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, BC, Canada
| | - Simon Wisnovsky
- Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, BC, Canada
- *Correspondence: Simon Wisnovsky,
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24
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Coutinho JVP, Macedo-da-Silva J, Mule SN, Kronenberger T, Rosa-Fernandes L, Wrenger C, Palmisano G. Glycoprotein molecular dynamics analysis: SARS-CoV-2 spike glycoprotein case study. ADVANCES IN PROTEIN CHEMISTRY AND STRUCTURAL BIOLOGY 2022; 131:277-309. [PMID: 35871894 PMCID: PMC9181370 DOI: 10.1016/bs.apcsb.2022.05.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
Molecular Dynamics (MD) is a method used to calculate the movement of atoms and molecules broadly applied to several aspects of science. It involves computational simulation, which makes it, at first glance, not easily accessible. The rise of several automated tools to perform molecular simulations has allowed researchers to navigate through the various steps of MD. This enables to elucidate structural properties of proteins that could not be analyzed otherwise, such as the impact of glycosylation. Glycosylation dictates the physicochemical and biological properties of a protein modulating its solubility, stability, resistance to proteolysis, interaction partners, enzymatic activity, binding and recognition. Given the high conformational and compositional diversity of the glycan chains, assessing their influence on the protein structure is challenging using conventional analytical techniques. In this manuscript, we present a step-by-step workflow to build and perform MD analysis of glycoproteins focusing on the SPIKE glycoprotein of SARS-CoV-2 to appraise the impact of glycans in structure stabilization and antibody occlusion.
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Affiliation(s)
| | - Janaina Macedo-da-Silva
- Department of Parasitology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
| | - Simon Ngao Mule
- Department of Parasitology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
| | - Thales Kronenberger
- Department of Internal Medicine VIII, University Hospital Tuebingen, Tuebingen, Germany,Department of Pharmaceutical and Medicinal Chemistry, Institute of Pharmaceutical Sciences, Eberhard-Karls-Universität, Tuebingen, Germany,Cluster of Excellence iFIT (EXC 2180) “Image-Guided and Functionally Instructed Tumor Therapies”, University of Tuebingen, Tuebingen, Germany,Tuebingen Center for Academic Drug Discovery & Development (TüCAD2), Tuebingen, Germany
| | - Livia Rosa-Fernandes
- Department of Parasitology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
| | - Carsten Wrenger
- Department of Parasitology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
| | - Giuseppe Palmisano
- Department of Parasitology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil,Faculty of Science and engineering, Macquarie University, Sydney, NSW, Australia,Corresponding author:
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25
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Gutierrez-Reyes CD, Jiang P, Atashi M, Bennett A, Yu A, Peng W, Zhong J, Mechref Y. Advances in mass spectrometry-based glycoproteomics: An update covering the period 2017-2021. Electrophoresis 2021; 43:370-387. [PMID: 34614238 DOI: 10.1002/elps.202100188] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Revised: 08/30/2021] [Accepted: 09/25/2021] [Indexed: 12/23/2022]
Abstract
Protein glycosylation is one of the most common posttranslational modifications, and plays an essential role in a wide range of biological processes such as immune response, intercellular signaling, inflammation, host-pathogen interaction, and protein stability. Glycoproteomics is a proteomics subfield dedicated to identifying and characterizing the glycans and glycoproteins in a given cell or tissue. Aberrant glycosylation has been associated with various diseases such as Alzheimer's disease, viral infections, inflammation, immune deficiencies, congenital disorders, and cancers. However, glycoproteomic analysis remains challenging because of the low abundance, site-specific heterogeneity, and poor ionization efficiency of glycopeptides during LC-MS analyses. Therefore, the development of sensitive and accurate approaches to efficiently characterize protein glycosylation is crucial. Methods such as metabolic labeling, enrichment, and derivatization of glycopeptides, coupled with different mass spectrometry techniques and bioinformatics tools, have been developed to achieve sophisticated levels of quantitative and qualitative analyses of glycoproteins. This review attempts to update the recent developments in the field of glycoproteomics reported between 2017 and 2021.
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Affiliation(s)
| | - Peilin Jiang
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, Texas, USA
| | - Mojgan Atashi
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, Texas, USA
| | - Andrew Bennett
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, Texas, USA
| | - Aiying Yu
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, Texas, USA
| | - Wenjing Peng
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, Texas, USA
| | - Jieqiang Zhong
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, Texas, USA
| | - Yehia Mechref
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, Texas, USA
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