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de Jong-Bolm D, Sadeghi M, Bogaciu CA, Bao G, Klaehn G, Hoff M, Mittelmeier L, Basmanav FB, Opazo F, Noé F, Rizzoli SO. Protein nanobarcodes enable single-step multiplexed fluorescence imaging. PLoS Biol 2023; 21:e3002427. [PMID: 38079451 PMCID: PMC10735187 DOI: 10.1371/journal.pbio.3002427] [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] [Received: 08/30/2022] [Revised: 12/21/2023] [Accepted: 11/13/2023] [Indexed: 12/23/2023] Open
Abstract
Multiplexed cellular imaging typically relies on the sequential application of detection probes, as antibodies or DNA barcodes, which is complex and time-consuming. To address this, we developed here protein nanobarcodes, composed of combinations of epitopes recognized by specific sets of nanobodies. The nanobarcodes are read in a single imaging step, relying on nanobodies conjugated to distinct fluorophores, which enables a precise analysis of large numbers of protein combinations. Fluorescence images from nanobarcodes were used as input images for a deep neural network, which was able to identify proteins with high precision. We thus present an efficient and straightforward protein identification method, which is applicable to relatively complex biological assays. We demonstrate this by a multicell competition assay, in which we successfully used our nanobarcoded proteins together with neurexin and neuroligin isoforms, thereby testing the preferred binding combinations of multiple isoforms, in parallel.
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Affiliation(s)
- Daniëlle de Jong-Bolm
- Department of Neuro- and Sensory physiology, University of Göttingen Medical Center, Cluster of Excellence “Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells” (MBExC), Göttingen, Germany
| | - Mohsen Sadeghi
- Department of Mathematics and Computer Science, Free University of Berlin, Berlin, Germany
| | - Cristian A. Bogaciu
- Department of Neuro- and Sensory physiology, University of Göttingen Medical Center, Cluster of Excellence “Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells” (MBExC), Göttingen, Germany
| | - Guobin Bao
- Institute of Pharmacology and Toxicology, University Medical Center, Georg-August-University, Göttingen, Germany
| | - Gabriele Klaehn
- Department of Neuro- and Sensory physiology, University of Göttingen Medical Center, Cluster of Excellence “Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells” (MBExC), Göttingen, Germany
| | - Merle Hoff
- Department of Neuro- and Sensory physiology, University of Göttingen Medical Center, Cluster of Excellence “Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells” (MBExC), Göttingen, Germany
| | - Lucas Mittelmeier
- Department of Neuro- and Sensory physiology, University of Göttingen Medical Center, Cluster of Excellence “Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells” (MBExC), Göttingen, Germany
| | - F. Buket Basmanav
- Department of Neuro- and Sensory physiology, University of Göttingen Medical Center, Cluster of Excellence “Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells” (MBExC), Göttingen, Germany
- Campus Laboratory for Advanced Imaging, Microscopy and Spectroscopy, University of Göttingen, Göttingen, Germany
| | - Felipe Opazo
- Department of Neuro- and Sensory physiology, University of Göttingen Medical Center, Cluster of Excellence “Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells” (MBExC), Göttingen, Germany
- Center for Biostructural Imaging of Neurodegeneration (BIN), University of Göttingen Medical Center, Göttingen, Germany
- NanoTag Biotechnologies GmbH, Göttingen, Germany
| | - Frank Noé
- Department of Mathematics and Computer Science, Free University of Berlin, Berlin, Germany
- Department of Physics, Free University of Technology, Berlin, Germany
- Department of Chemistry, Rice University, Houston, Texas, United States of America
- Microsoft Research AI4Science, Berlin, Germany
| | - Silvio O. Rizzoli
- Department of Neuro- and Sensory physiology, University of Göttingen Medical Center, Cluster of Excellence “Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells” (MBExC), Göttingen, Germany
- NanoTag Biotechnologies GmbH, Göttingen, Germany
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Yang W, Tian E, Chernish A, McCluggage P, Dalal K, Lara A, Ten Hagen KG, Tabak LA. Quantitative mapping of the in vivo O-GalNAc glycoproteome in mouse tissues identifies GalNAc-T2 O-glycosites in metabolic disorder. Proc Natl Acad Sci U S A 2023; 120:e2303703120. [PMID: 37862385 PMCID: PMC10614836 DOI: 10.1073/pnas.2303703120] [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: 03/05/2023] [Accepted: 09/03/2023] [Indexed: 10/22/2023] Open
Abstract
The family of GalNAc-Ts (GalNAcpolypeptide:N-Acetylgalactosaminyl transferases) catalyzes the first committed step in the synthesis of O-glycans, which is an abundant and biologically important protein modification. Abnormalities in the activity of individual GalNAc-Ts can result in congenital disorders of O-glycosylation (CDG) and influence a broad array of biological functions. How site-specific O-glycans regulate biology is unclear. Compiling in vivo O-glycosites would be an invaluable step in determining the function of site-specific O-glycans. We integrated chemical and enzymatic conditions that cleave O-glycosites, a higher-energy dissociation product ions-triggered electron-transfer/higher-energy collision dissociation mass spectrometry (MS) workflow and software to study nine mouse tissues and whole blood. We identified 2,154 O-glycosites from 595 glycoproteins. The O-glycosites and glycoproteins displayed consensus motifs and shared functions as classified by Gene Ontology terms. Limited overlap of O-glycosites was observed with protein O-GlcNAcylation and phosphorylation sites. Quantitative glycoproteomics and proteomics revealed a tissue-specific regulation of O-glycosites that the differential expression of Galnt isoenzymes in tissues partly contributes to. We examined the Galnt2-null mouse model, which phenocopies congenital disorder of glycosylation involving GALNT2 and revealed a network of glycoproteins that lack GalNAc-T2-specific O-glycans. The known direct and indirect functions of these glycoproteins appear consistent with the complex metabolic phenotypes observed in the Galnt2-null animals. Through this study and interrogation of databases and the literature, we have compiled an atlas of experimentally identified mouse O-glycosites consisting of 2,925 O-glycosites from 758 glycoproteins.
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Affiliation(s)
- Weiming Yang
- Section on Biological Chemistry, National Institute of Dental and Craniofacial Research (NIDCR), NIH, Bethesda, MD20892
| | - E. Tian
- Developmental Glycobiology Section, National Institute of Dental and Craniofacial Research (NIDCR), NIH, Bethesda, MD20892
| | - Aliona Chernish
- Section on Biological Chemistry, National Institute of Dental and Craniofacial Research (NIDCR), NIH, Bethesda, MD20892
| | - Peggy McCluggage
- Section on Biological Chemistry, National Institute of Dental and Craniofacial Research (NIDCR), NIH, Bethesda, MD20892
| | - Kruti Dalal
- Section on Biological Chemistry, National Institute of Dental and Craniofacial Research (NIDCR), NIH, Bethesda, MD20892
| | - Alexander Lara
- Section on Biological Chemistry, National Institute of Dental and Craniofacial Research (NIDCR), NIH, Bethesda, MD20892
| | - Kelly G. Ten Hagen
- Developmental Glycobiology Section, National Institute of Dental and Craniofacial Research (NIDCR), NIH, Bethesda, MD20892
| | - Lawrence A. Tabak
- Section on Biological Chemistry, National Institute of Dental and Craniofacial Research (NIDCR), NIH, Bethesda, MD20892
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3
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Gonzalez-Rodriguez E, Zol-Hanlon M, Bineva-Todd G, Marchesi A, Skehel M, Mahoney KE, Roustan C, Borg A, Di Vagno L, Kjær S, Wrobel AG, Benton DJ, Nawrath P, Flitsch SL, Joshi D, González-Ramírez A, Wilkinson KA, Wilkinson RJ, Wall EC, Hurtado-Guerrero R, Malaker SA, Schumann B. O-Linked Sialoglycans Modulate the Proteolysis of SARS-CoV-2 Spike and Likely Contribute to the Mutational Trajectory in Variants of Concern. ACS CENTRAL SCIENCE 2023; 9:393-404. [PMID: 36968546 PMCID: PMC10037455 DOI: 10.1021/acscentsci.2c01349] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Indexed: 06/18/2023]
Abstract
The emergence of a polybasic cleavage motif for the protease furin in SARS-CoV-2 spike has been established as a major factor for human viral transmission. The region N-terminal to that motif is extensively mutated in variants of concern (VOCs). Besides furin, spikes from these variants appear to rely on other proteases for maturation, including TMPRSS2. Glycans near the cleavage site have raised questions about proteolytic processing and the consequences of variant-borne mutations. Here, we identify that sialic acid-containing O-linked glycans on Thr678 of SARS-CoV-2 spike influence furin and TMPRSS2 cleavage and posit O-linked glycosylation as a likely driving force for the emergence of VOC mutations. We provide direct evidence that the glycosyltransferase GalNAc-T1 primes glycosylation at Thr678 in the living cell, an event that is suppressed by mutations in the VOCs Alpha, Delta, and Omicron. We found that the sole incorporation of N-acetylgalactosamine did not impact furin activity in synthetic O-glycopeptides, but the presence of sialic acid reduced the furin rate by up to 65%. Similarly, O-glycosylation with a sialylated trisaccharide had a negative impact on TMPRSS2 cleavage. With a chemistry-centered approach, we substantiate O-glycosylation as a major determinant of spike maturation and propose disruption of O-glycosylation as a substantial driving force for VOC evolution.
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Affiliation(s)
- Edgar Gonzalez-Rodriguez
- Chemical
Glycobiology Laboratory, The Francis Crick
Institute, NW1 1AT London, United Kingdom
- Department
of Chemistry, Imperial College London, W12 0BZ London, United Kingdom
| | - Mia Zol-Hanlon
- Chemical
Glycobiology Laboratory, The Francis Crick
Institute, NW1 1AT London, United Kingdom
- Signalling
and Structural Biology Lab, The Francis
Crick Institute, NW1 1AT London, United Kingdom
| | - Ganka Bineva-Todd
- Chemical
Glycobiology Laboratory, The Francis Crick
Institute, NW1 1AT London, United Kingdom
| | - Andrea Marchesi
- Chemical
Glycobiology Laboratory, The Francis Crick
Institute, NW1 1AT London, United Kingdom
- Department
of Chemistry, Imperial College London, W12 0BZ London, United Kingdom
| | - Mark Skehel
- Proteomics
Science Technology Platform, The Francis
Crick Institute, NW1 1AT London, United Kingdom
| | - Keira E. Mahoney
- Department
of Chemistry, Yale University, 275 Prospect Street, 06511 New Haven, Connecticut, United States
| | - Chloë Roustan
- Structural
Biology Science Technology Platform, The
Francis Crick Institute, NW1 1AT London, United Kingdom
| | - Annabel Borg
- Structural
Biology Science Technology Platform, The
Francis Crick Institute, NW1 1AT London, United Kingdom
| | - Lucia Di Vagno
- Chemical
Glycobiology Laboratory, The Francis Crick
Institute, NW1 1AT London, United Kingdom
- Proteomics
Science Technology Platform, The Francis
Crick Institute, NW1 1AT London, United Kingdom
| | - Svend Kjær
- Structural
Biology Science Technology Platform, The
Francis Crick Institute, NW1 1AT London, United Kingdom
| | - Antoni G. Wrobel
- Structural
Biology of Disease Processes Laboratory, Francis Crick Institute, NW1 1AT London, United Kingdom
| | - Donald J. Benton
- Structural
Biology of Disease Processes Laboratory, Francis Crick Institute, NW1 1AT London, United Kingdom
| | - Philipp Nawrath
- Structural
Biology of Disease Processes Laboratory, Francis Crick Institute, NW1 1AT London, United Kingdom
| | - Sabine L. Flitsch
- Manchester
Institute of Biotechnology, University of
Manchester, 131 Princess Street, M1 7DN Manchester, United Kingdom
| | - Dhira Joshi
- Chemical
Biology Science Technology Platform, The
Francis Crick Institute, NW1 1AT London, United Kingdom
| | | | - Katalin A. Wilkinson
- Tuberculosis
Laboratory, The Francis Crick Institute, NW1 1AT London, United Kingdom
- Wellcome
Centre for Infectious Diseases Research in Africa, University of Cape Town, 7925 Observatory, Cape Town, South Africa
| | - Robert J. Wilkinson
- Tuberculosis
Laboratory, The Francis Crick Institute, NW1 1AT London, United Kingdom
- Wellcome
Centre for Infectious Diseases Research in Africa, University of Cape Town, 7925 Observatory, Cape Town, South Africa
- Department
of Infectious Diseases, Imperial College
London, W12 0NN London, United Kingdom
- Institute
of Infectious Disease and Molecular Medicine and Department of Medicine, University of Cape Town, 7925 Observatory, Cape Town, South Africa
| | - Emma C. Wall
- The Francis
Crick Institute, NW1 1AT London, United Kingdom
- University
College London Hospitals (UCLH) Biomedical Research Centre, W1T 7DN London, United Kingdom
| | - Ramón Hurtado-Guerrero
- Institute
of Biocomputation and Physics of Complex Systems, University of Zaragoza, 50018 Zaragoza, Spain
- Copenhagen
Center for Glycomics, Department of Cellular and Molecular Medicine, University of Copenhagen, 2200 Copenhagen, Denmark
- Fundación
ARAID, 50018 Zaragoza, Spain
| | - Stacy A. Malaker
- Department
of Chemistry, Yale University, 275 Prospect Street, 06511 New Haven, Connecticut, United States
| | - Benjamin Schumann
- Chemical
Glycobiology Laboratory, The Francis Crick
Institute, NW1 1AT London, United Kingdom
- Department
of Chemistry, Imperial College London, W12 0BZ London, United Kingdom
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Garay YC, Cejas RB, Lorenz V, Zlocowski N, Parodi P, Ferrero FA, Angeloni G, García VA, Sendra VG, Lardone RD, Irazoqui FJ. Polypeptide N-acetylgalactosamine transferase 3: a post-translational writer on human health. J Mol Med (Berl) 2022; 100:1387-1403. [PMID: 36056254 DOI: 10.1007/s00109-022-02249-5] [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: 04/27/2022] [Revised: 08/10/2022] [Accepted: 08/17/2022] [Indexed: 10/14/2022]
Abstract
Polypeptide N-acetylgalactosamine transferase 3 (ppGalNAc-T3) is an enzyme involved in the initiation of O-GalNAc glycan biosynthesis. Acting as a writer of frequent post-translational modification (PTM) on human proteins, ppGalNAc-T3 has key functions in the homeostasis of human cells and tissues. We review the relevant roles of this molecule in the biosynthesis of O-GalNAc glycans, as well as in biological functions related to human physiological and pathological conditions. With main emphasis in ppGalNAc-T3, we draw attention to the different ways involved in the modulation of ppGalNAc-Ts enzymatic activity. In addition, we take notice on recent reports of ppGalNAc-T3 having different subcellular localizations, highlight critical intrinsic and extrinsic functions in cellular physiology that are exerted by ppGalNAc-T3-synthesized PTMs, and provide an update on several human pathologies associated with dysfunctional ppGalNAc-T3. Finally, we propose biotechnological tools as new therapeutic options for the treatment of pathologies related to altered ppGalNAc-T3. KEY MESSAGES: ppGalNAc-T3 is a key enzyme in the human O-GalNAc glycans biosynthesis. enzyme activity is regulated by PTMs, lectin domain and protein-protein interactions. ppGalNAc-T3 is located in human Golgi apparatus and cell nucleus. ppGalNAc-T3 has a central role in cell physiology as well as in several pathologies. Biotechnological tools for pathological management are proposed.
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Affiliation(s)
- Yohana Camila Garay
- Centro de Investigaciones en Química Biológica de Córdoba, CIQUIBIC, CONICET and Departamento de Química Biológica Ranwel Caputto, Facultad de Ciencias Químicas, Universidad Nacional de Córdoba, Ciudad Universitaria, X5000HUA, Córdoba, Argentina
| | - Romina Beatriz Cejas
- Department of Pharmacology, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA
| | - Virginia Lorenz
- Facultad de Bioquímica Y Ciencias Biológicas, Instituto de Salud Y Ambiente del Litoral (ISAL), Universidad Nacional del Litoral (UNL) - Consejo Nacional de Investigaciones Científicas Y Técnicas (CONICET), Santa Fe, Argentina
| | - Natacha Zlocowski
- Centro de Microscopía Electrónica, Facultad de Ciencias Médicas, Instituto de Investigaciones en Ciencias de La Salud (INICSA-CONICET), Universidad Nacional de Córdoba, Córdoba, Argentina
| | - Pedro Parodi
- Centro de Investigaciones en Química Biológica de Córdoba, CIQUIBIC, CONICET and Departamento de Química Biológica Ranwel Caputto, Facultad de Ciencias Químicas, Universidad Nacional de Córdoba, Ciudad Universitaria, X5000HUA, Córdoba, Argentina
| | - Franco Alejandro Ferrero
- Centro de Investigaciones en Química Biológica de Córdoba, CIQUIBIC, CONICET and Departamento de Química Biológica Ranwel Caputto, Facultad de Ciencias Químicas, Universidad Nacional de Córdoba, Ciudad Universitaria, X5000HUA, Córdoba, Argentina
| | - Genaro Angeloni
- Centro de Investigaciones en Química Biológica de Córdoba, CIQUIBIC, CONICET and Departamento de Química Biológica Ranwel Caputto, Facultad de Ciencias Químicas, Universidad Nacional de Córdoba, Ciudad Universitaria, X5000HUA, Córdoba, Argentina
| | - Valentina Alfonso García
- Centro de Investigaciones en Química Biológica de Córdoba, CIQUIBIC, CONICET and Departamento de Química Biológica Ranwel Caputto, Facultad de Ciencias Químicas, Universidad Nacional de Córdoba, Ciudad Universitaria, X5000HUA, Córdoba, Argentina
| | - Victor German Sendra
- Center for Translational Ocular Immunology, Department of Ophthalmology, Tufts Medical Center, Tufts University School of Medicine, Boston, MA, USA
| | - Ricardo Dante Lardone
- Centro de Investigaciones en Química Biológica de Córdoba, CIQUIBIC, CONICET and Departamento de Química Biológica Ranwel Caputto, Facultad de Ciencias Químicas, Universidad Nacional de Córdoba, Ciudad Universitaria, X5000HUA, Córdoba, Argentina
| | - Fernando José Irazoqui
- Centro de Investigaciones en Química Biológica de Córdoba, CIQUIBIC, CONICET and Departamento de Química Biológica Ranwel Caputto, Facultad de Ciencias Químicas, Universidad Nacional de Córdoba, Ciudad Universitaria, X5000HUA, Córdoba, Argentina.
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Legionella pneumophila Infection of Human Macrophages Retains Golgi Structure but Reduces O-Glycans. Pathogens 2022; 11:pathogens11080908. [PMID: 36015029 PMCID: PMC9415278 DOI: 10.3390/pathogens11080908] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Revised: 08/02/2022] [Accepted: 08/08/2022] [Indexed: 11/30/2022] Open
Abstract
Legionella pneumophila is an accidental pathogen that replicates intracellularly within the Legionella-containing vacuole (LCV) in macrophages. Within an hour of infection, L. pneumophila secretes effectors to manipulate Rab1 and intercept ER-derived vesicles to the LCV. The downstream consequences of interrupted ER trafficking on the Golgi of macrophages are not clear. We examined the Golgi structure and function in L. pneumophila-infected human U937 macrophages. Intriguingly, the size of the Golgi in infected macrophages remained similar to uninfected macrophages. Furthermore, TEM analysis also did not reveal any significant changes in the ultrastructure of the Golgi in L. pneumophila-infected cells. Drug-induced Golgi disruption impacted bacterial replication in human macrophages, suggesting that an intact organelle is important for bacteria growth. To probe for Golgi functionality after L. pneumophila infection, we assayed glycosylation levels using fluorescent lectins. Golgi O-glycosylation levels, visualized by the fluorescent cis-Golgi lectin, Helix pomatia agglutinin (HPA), significantly decreased over time as infection progressed, compared to control cells. N-glycosylation levels in the Golgi, as measured by L-PHA lectin staining, were not impacted by L. pneumophila infection. To understand the mechanism of reduced O-glycans in the Golgi we monitored UDP-GalNAc transporter levels in infected macrophages. The solute carrier family 35 membrane A2 (SLC35A2) protein levels were significantly reduced in L. pneumophila-infected U937 and HeLa cells and L. pneumophila growth in human macrophages benefitted from GalNAc supplementation. The pronounced reduction in Golgi HPA levels was dependent on the translocation apparatus DotA expression in bacteria and occurred in a ubiquitin-independent manner. Thus, L. pneumophila infection of human macrophages maintains and requires an intact host Golgi ultrastructure despite known interference of ER–Golgi trafficking. Finally, L. pneumophila infection blocks the formation of O-linked glycans and reduces SLC35A2 protein levels in infected human macrophages.
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6
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Ogawa M, Tanaka A, Namba K, Shia J, Wang JY, Roehrl MH. Early-Stage Loss of GALNT6 Predicts Poor Clinical Outcome in Colorectal Cancer. Front Oncol 2022; 12:802548. [PMID: 35692787 PMCID: PMC9185839 DOI: 10.3389/fonc.2022.802548] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 04/27/2022] [Indexed: 12/22/2022] Open
Abstract
Colorectal adenocarcinomas arise from luminal lining epithelium of the colorectal tract which is covered with highly glycosylated mucins. Mucin O-glycosylation is initiated by a family of polypeptide N-acteylgalactosaminyltransferases (GALNTs). This study examined GALNT6 protein expression in 679 colorectal tumors, including 574 early-stage and 105 late-stage cancers. GALNT6 expression in cancer tissue varied widely between patients ranging from high levels to complete loss. Loss of GALNT6 occurred in 9.9% of early-stage and 15.2% of late-stage cancers and was more prevalent in grade 3 or MSI subtype tumors. Survival analyses revealed that loss of GALNT6 expression is prognostic of reduced overall survival, and univariate and multivariate analyses demonstrated that loss of GALNT6 is an independent risk variable. We also analyzed 508-case TCGA and 63-case CPTAC colorectal cancer cohorts for all members of the GALNT enzyme family, the mucin family, as well as KRAS and BRAF mutations. GLANT6 mRNA expression showed no strong correlation with other GALNTs or mucins but was significantly higher in KRAS mutated or BRAF wild-type early-stage cancers. Using large cohorts of patients and different approaches, this study shows that loss of GALNT6 enzyme in early-stage colorectal cancer predicts poor clinical outcomes.
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Affiliation(s)
- Makiko Ogawa
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States.,Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Atsushi Tanaka
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States.,Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Kei Namba
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States.,Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, United States.,Department of Thoracic Surgery and Breast and Endocrine Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Jinru Shia
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | | | - Michael H Roehrl
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States.,Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, United States
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7
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Zhang N, Zabotina OA. Critical Determinants in ER-Golgi Trafficking of Enzymes Involved in Glycosylation. PLANTS (BASEL, SWITZERLAND) 2022; 11:plants11030428. [PMID: 35161411 PMCID: PMC8840164 DOI: 10.3390/plants11030428] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Revised: 01/31/2022] [Accepted: 02/01/2022] [Indexed: 05/03/2023]
Abstract
All living cells generate structurally complex and compositionally diverse spectra of glycans and glycoconjugates, critical for organismal evolution, development, functioning, defense, and survival. Glycosyltransferases (GTs) catalyze the glycosylation reaction between activated sugar and acceptor substrate to synthesize a wide variety of glycans. GTs are distributed among more than 130 gene families and are involved in metabolic processes, signal pathways, cell wall polysaccharide biosynthesis, cell development, and growth. Glycosylation mainly takes place in the endoplasmic reticulum (ER) and Golgi, where GTs and glycosidases involved in this process are distributed to different locations of these compartments and sequentially add or cleave various sugars to synthesize the final products of glycosylation. Therefore, delivery of these enzymes to the proper locations, the glycosylation sites, in the cell is essential and involves numerous secretory pathway components. This review presents the current state of knowledge about the mechanisms of protein trafficking between ER and Golgi. It describes what is known about the primary components of protein sorting machinery and trafficking, which are recognition sites on the proteins that are important for their interaction with the critical components of this machinery.
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8
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Jia W, Zou X, Xu Z, Bai L, Shan A, Li Y, Shi J, Yang F, Ding C, Narimatsu H, Zhang Y. Polypeptide N-acetylgalactosaminyltransferase 18 retains in endoplasmic reticulum depending on its luminal regions interacting with ER resident UGGT1, PLOD3 and LPCAT1. Glycobiology 2021; 31:947-958. [PMID: 33909026 DOI: 10.1093/glycob/cwab031] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 04/08/2021] [Accepted: 04/11/2021] [Indexed: 12/16/2022] Open
Abstract
Mucin-type O-glycosylation is initiated by the polypeptide: N-acetylgalactosaminyltransferase (ppGalNAc-T) family of enzymes, which consists of 20 members in humans. Among them, unlike other ppGalNAc-Ts located in Golgi apparatus, ppGalNAc-T18 distributes primarily in the endoplasmic reticulum (ER) and non-catalytically regulates ER homeostasis and O-glycosylation. Here, we report the mechanism for ppGalNAc-T18 ER localization and the function of each structural domain of ppGalNAc-T18. By using ppGalNAc-T18 truncation mutants, we revealed that the luminal stem region and catalytic domain of ppGalNAc-T18 are essential for ER localization, whereas the lectin domain and N-glycosylation of ppGalNAc-T18 are not required. In the absence of the luminal region (i.e., stem region, catalytic and lectin domains), the conserved Golgi retention motif RKTK within the cytoplasmic tail combined with the transmembrane domain ensure ER export and Golgi retention, as observed for other Golgi resident ppGalNAc-Ts. Results from coimmunoprecipitation assays showed that the luminal region interacts with ER resident proteins UGGT1, PLOD3 and LPCAT1. Furthermore, flow cytometry analysis showed that the entire luminal region is required for the non-catalytic O-GalNAc glycosylation activity of ppGalNAc-T18. The findings reveal a novel subcellular localization mechanism of ppGalNAc-Ts and provide a foundation to further characterize the function of ppGalNAc-T18 in the ER.
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Affiliation(s)
- Wenjuan Jia
- Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai, 200240, China
| | - Xia Zou
- Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai, 200240, China
| | - Zhijue Xu
- Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai, 200240, China
| | - Lin Bai
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Institutes of Biomedical Sciences, School of Life Sciences, Zhongshan Hospital, Fudan University, 220 Handan Road, Shanghai, 200433, China
| | - Aidong Shan
- Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai, 200240, China
| | - Yankun Li
- Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai, 200240, China
| | - Jingjing Shi
- Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai, 200240, China
| | - Fang Yang
- Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai, 200240, China
| | - Chen Ding
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Institutes of Biomedical Sciences, School of Life Sciences, Zhongshan Hospital, Fudan University, 220 Handan Road, Shanghai, 200433, China
| | - Hisashi Narimatsu
- Molecular and Cellular Glycoproteomics Research Group, Cellular and Molecular Biotechnology Research Institute, Department of Life Science and Biotechnology, National Institute of Advanced Industrial Science and Technology, 1-1-1 Umezono, Tsukuba, Ibaraki, 305-8565, Japan
- SCSB (China)-AIST (Japan) Joint Medical Glycomics Laboratory, Shanghai Jiao Tong University, Shanghai, China
| | - Yan Zhang
- Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai, 200240, China
- SCSB (China)-AIST (Japan) Joint Medical Glycomics Laboratory, Shanghai Jiao Tong University, Shanghai, China
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9
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Akasaka-Manya K, Manya H. The Role of APP O-Glycosylation in Alzheimer's Disease. Biomolecules 2020; 10:biom10111569. [PMID: 33218200 PMCID: PMC7699271 DOI: 10.3390/biom10111569] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Revised: 11/16/2020] [Accepted: 11/16/2020] [Indexed: 12/13/2022] Open
Abstract
The number of people with dementia is increasing rapidly due to the increase in the aging population. Alzheimer’s disease (AD) is a type of neurodegenerative dementia caused by the accumulation of abnormal proteins. Genetic mutations, smoking, and several other factors have been reported as causes of AD, but alterations in glycans have recently been demonstrated to play a role in AD. Amyloid-β (Aβ), a cleaved fragment of APP, is the source of senile plaque, a pathological feature of AD. APP has been reported to undergo N- and O-glycosylation, and several Polypeptide N-acetylgalactosaminyltransferases (ppGalNAc-Ts) have been shown to have catalytic activity for the transfer of GalNAc to APP. Since O-glycosylation in the proximity of a cleavage site in many proteins has been reported to be involved in protein processing, O-glycans may affect the cleavage of APP during the Aβ production process. In this report, we describe new findings on the O-glycosylation of APP and Aβ production.
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10
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Fisher P, Thomas-Oates J, Wood AJ, Ungar D. The N-Glycosylation Processing Potential of the Mammalian Golgi Apparatus. Front Cell Dev Biol 2019; 7:157. [PMID: 31457009 PMCID: PMC6700225 DOI: 10.3389/fcell.2019.00157] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2019] [Accepted: 07/26/2019] [Indexed: 11/16/2022] Open
Abstract
Heterogeneity is an inherent feature of the glycosylation process. Mammalian cells often produce a variety of glycan structures on separate molecules of the same protein, known as glycoforms. This heterogeneity is not random but is controlled by the organization of the glycosylation machinery in the Golgi cisternae. In this work, we use a computational model of the N-glycosylation process to probe how the organization of the glycosylation machinery into different cisternae drives N-glycan biosynthesis toward differing degrees of heterogeneity. Using this model, we demonstrate the N-glycosylation potential and limits of the mammalian Golgi apparatus, for example how the number of cisternae limits the goal of achieving near homogeneity for N-glycans. The production of specific glycoforms guided by this computational study could pave the way for “glycoform engineering,” which will find uses in the functional investigation of glycans, the modulation of glycan-mediated physiological functions, and in biotechnology.
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Affiliation(s)
- Peter Fisher
- Department of Biology, University of York, York, United Kingdom
| | - Jane Thomas-Oates
- Department of Chemistry and Centre of Excellence in Mass Spectrometry, University of York, York, United Kingdom
| | - A Jamie Wood
- Department of Biology, University of York, York, United Kingdom.,Department of Mathematics, University of York, York, United Kingdom
| | - Daniel Ungar
- Department of Biology, University of York, York, United Kingdom
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11
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Shan A, Lu J, Xu Z, Li X, Xu Y, Li W, Liu F, Yang F, Sato T, Narimatsu H, Zhang Y. Polypeptide N-acetylgalactosaminyltransferase 18 non-catalytically regulates the ER homeostasis and O-glycosylation. Biochim Biophys Acta Gen Subj 2019; 1863:870-882. [PMID: 30797803 DOI: 10.1016/j.bbagen.2019.01.009] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2018] [Revised: 12/23/2018] [Accepted: 01/16/2019] [Indexed: 01/03/2023]
Abstract
Mucin-type O-glycosylation plays important roles in various biological processes. It is initiated by a family of 20 conserved UDP-GalNAc: polypeptide N-acetylgalactosaminyltransferases (ppGalNAc-Ts). Unlike most ppGalNAc-Ts localized to the Golgi apparatus, ppGalNAc-T18 is predominantly distributed on the endoplasmic reticulum (ER) and exhibits no ppGalNAc-T catalytic activity in vitro. Herein, we found that ppGalNAc-T18 silencing in cells decreased O-glycosylation levels and activated ER stress leading to apoptosis. After treatment with chemical chaperone 4-phenylbutyric acid (PBA) or forced expression of ppGalNAc-T18 in the ppGalNAc-T18 knockdown cell, these defects could be significantly alleviated, suggesting that ppGalNAc-T18 is important for ER homeostasis and protein O-glycosylation. Furthermore, we found that ppGalNAc-T18 exerts its functions in O-glycosylation and ER stress via a non-catalytic mechanism. These results reveal a novel molecular role of ppGalNAc-Ts that the ER-localized ppGalNAc-T18 could regulate the O-glycosylation and ER homeostasis in a non-catalytic manner.
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Affiliation(s)
- Aidong Shan
- Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China
| | - Jishun Lu
- Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China
| | - Zhijue Xu
- Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China
| | - Xing Li
- Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China
| | - Yingjiao Xu
- Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China
| | - Wei Li
- Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China
| | - Feng Liu
- Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China
| | - Fang Yang
- Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China; SCSB (China)-AIST (Japan) Joint Medical Glycomics Laboratory, Shanghai, China
| | - Takashi Sato
- Biotechnology Research Institute for Drug Discovery, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba 305-8568, Japan
| | - Hisashi Narimatsu
- Biotechnology Research Institute for Drug Discovery, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba 305-8568, Japan; SCSB (China)-AIST (Japan) Joint Medical Glycomics Laboratory, Shanghai, China.
| | - Yan Zhang
- Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China; SCSB (China)-AIST (Japan) Joint Medical Glycomics Laboratory, Shanghai, China.
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