1
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Doshi MB, Lee N, Tseyang T, Ponomarova O, Goel HL, Spears M, Li R, Zhu LJ, Ashwood C, Simin K, Jang C, Mercurio AM, Walhout AJM, Spinelli JB, Kim D. Disruption of sugar nucleotide clearance is a therapeutic vulnerability of cancer cells. Nature 2023; 623:625-632. [PMID: 37880368 PMCID: PMC10709823 DOI: 10.1038/s41586-023-06676-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Accepted: 09/26/2023] [Indexed: 10/27/2023]
Abstract
Identifying metabolic steps that are specifically required for the survival of cancer cells but are dispensable in normal cells remains a challenge1. Here we report a therapeutic vulnerability in a sugar nucleotide biosynthetic pathway that can be exploited in cancer cells with only a limited impact on normal cells. A systematic examination of conditionally essential metabolic enzymes revealed that UXS1, a Golgi enzyme that converts one sugar nucleotide (UDP-glucuronic acid, UDPGA) to another (UDP-xylose), is essential only in cells that express high levels of the enzyme immediately upstream of it, UGDH. This conditional relationship exists because UXS1 is required to prevent excess accumulation of UDPGA, which is produced by UGDH. UXS1 not only clears away UDPGA but also limits its production through negative feedback on UGDH. Excess UDPGA disrupts Golgi morphology and function, which impedes the trafficking of surface receptors such as EGFR to the plasma membrane and diminishes the signalling capacity of cells. UGDH expression is elevated in several cancers, including lung adenocarcinoma, and is further enhanced during chemoresistant selection. As a result, these cancer cells are selectively dependent on UXS1 for UDPGA detoxification, revealing a potential weakness in tumours with high levels of UGDH.
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Affiliation(s)
- Mihir B Doshi
- Department of Molecular, Cell and Cancer Biology, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Namgyu Lee
- Department of Molecular, Cell and Cancer Biology, University of Massachusetts Chan Medical School, Worcester, MA, USA
- Department of Biomedical Science & Engineering, Dankook University, Cheonan, South Korea
| | - Tenzin Tseyang
- Department of Molecular Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Olga Ponomarova
- Department of Systems Biology, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Hira Lal Goel
- Department of Molecular, Cell and Cancer Biology, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Meghan Spears
- Department of Molecular, Cell and Cancer Biology, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Rui Li
- Department of Molecular, Cell and Cancer Biology, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Lihua Julie Zhu
- Department of Molecular, Cell and Cancer Biology, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Christopher Ashwood
- Glycomics Core, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Department of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Karl Simin
- Department of Molecular, Cell and Cancer Biology, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Cholsoon Jang
- Department of Biological Chemistry, University of California, Irvine, Irvine, CA, USA
| | - Arthur M Mercurio
- Department of Molecular, Cell and Cancer Biology, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Albertha J M Walhout
- Department of Systems Biology, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Jessica B Spinelli
- Department of Molecular Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Dohoon Kim
- Department of Molecular, Cell and Cancer Biology, University of Massachusetts Chan Medical School, Worcester, MA, USA.
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2
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McKenna MK, Ozcan A, Brenner D, Watanabe N, Legendre M, Thomas DG, Ashwood C, Cummings RD, Bonifant C, Markovitz DM, Brenner MK. Novel banana lectin CAR-T cells to target pancreatic tumors and tumor-associated stroma. J Immunother Cancer 2023; 11:jitc-2022-005891. [PMID: 36653070 PMCID: PMC9853244 DOI: 10.1136/jitc-2022-005891] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/31/2022] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Cell therapies for solid tumors are thwarted by the hostile tumor microenvironment (TME) and by heterogeneous expression of tumor target antigens. We address both limitations with a novel class of chimeric antigen receptors based on plant lectins, which recognize the aberrant sugar residues that are a 'hallmark' of both malignant and associated stromal cells. We have expressed in T cells a modified lectin from banana, H84T BanLec, attached to a chimeric antigen receptor (H84T-CAR) that recognizes high-mannose (asparagine residue with five to nine mannoses). Here, we tested the efficacy of our novel H84T CAR in models of pancreatic ductal adenocarcinoma (PDAC), intractable tumors with aberrant glycosylation and characterized by desmoplastic stroma largely contributed by pancreatic stellate cells (PSCs). METHODS We transduced human T cells with a second-generation retroviral construct expressing the H84T BanLec chimeric receptor, measured T-cell expansion, characterized T-cell phenotype, and tested their efficacy against PDAC tumor cells lines by flow cytometry quantification. In three-dimensional (3D) spheroid models, we measured H84T CAR T-cell disruption of PSC architecture, and T-cell infiltration by live imaging. We tested the activity of H84T CAR T cells against tumor xenografts derived from three PDAC cell lines. Antitumor activity was quantified by caliper measurement and bioluminescence signal and used anti-human vimentin to measure residual PSCs. RESULTS H84T BanLec CAR was successfully transduced and expressed by T cells which had robust expansion and retained central memory phenotype in both CD4 and CD8 compartments. H84T CAR T cells targeted and eliminated PDAC tumor cell lines. They also disrupted PSC architecture in 3D models in vitro and reduced total tumor and stroma cells in mixed co-cultures. H84T CAR T cells exhibited improved T-cell infiltration in multicellular spheroids and had potent antitumor effects in the xenograft models. We observed no adverse effects against normal tissues. CONCLUSIONS T cells expressing H84T CAR target malignant cells and their stroma in PDAC tumor models. The incorporation of glycan-targeting lectins within CARs thus extends their activity to include both malignant cells and their supporting stromal cells, disrupting the TME that otherwise diminishes the activity of cellular therapies against solid tumors.
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Affiliation(s)
- Mary K McKenna
- Center for Cell and Gene Therapy, Baylor College of Medicine, Houston, Texas, USA
| | - Ada Ozcan
- Center for Cell and Gene Therapy, Baylor College of Medicine, Houston, Texas, USA
| | - Daniel Brenner
- Department of Bioengineering, Rice University, Houston, Texas, USA
| | - Norihiro Watanabe
- Center for Cell and Gene Therapy, Baylor College of Medicine, Houston, Texas, USA
| | - Maureen Legendre
- Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Dafydd G Thomas
- Department of Pathology, University of Michigan, Ann Arbor, Michigan, USA
| | | | - Richard D Cummings
- Department of Surgery, Harvard Medical School, Boston, Massachusetts, USA
| | - Challice Bonifant
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - David M Markovitz
- Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Malcolm K Brenner
- Center for Cell and Gene Therapy, Baylor College of Medicine, Houston, Texas, USA
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3
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Blazev R, Ashwood C, Abrahams JL, Chung LH, Francis D, Yang P, Watt KI, Qian H, Quaife-Ryan GA, Hudson JE, Gregorevic P, Thaysen-Andersen M, Parker BL. Integrated Glycoproteomics Identifies a Role of N-Glycosylation and Galectin-1 on Myogenesis and Muscle Development. Mol Cell Proteomics 2020; 20:100030. [PMID: 33583770 PMCID: PMC8724610 DOI: 10.1074/mcp.ra120.002166] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Revised: 08/20/2020] [Accepted: 09/16/2020] [Indexed: 12/23/2022] Open
Abstract
Many cell surface and secreted proteins are modified by the covalent addition of glycans that play an important role in the development of multicellular organisms. These glycan modifications enable communication between cells and the extracellular matrix via interactions with specific glycan-binding lectins and the regulation of receptor-mediated signaling. Aberrant protein glycosylation has been associated with the development of several muscular diseases, suggesting essential glycan- and lectin-mediated functions in myogenesis and muscle development, but our molecular understanding of the precise glycans, catalytic enzymes, and lectins involved remains only partially understood. Here, we quantified dynamic remodeling of the membrane-associated proteome during a time-course of myogenesis in cell culture. We observed wide-spread changes in the abundance of several important lectins and enzymes facilitating glycan biosynthesis. Glycomics-based quantification of released N-linked glycans confirmed remodeling of the glycome consistent with the regulation of glycosyltransferases and glycosidases responsible for their formation including a previously unknown digalactose-to-sialic acid switch supporting a functional role of these glycoepitopes in myogenesis. Furthermore, dynamic quantitative glycoproteomic analysis with multiplexed stable isotope labeling and analysis of enriched glycopeptides with multiple fragmentation approaches identified glycoproteins modified by these regulated glycans including several integrins and growth factor receptors. Myogenesis was also associated with the regulation of several lectins, most notably the upregulation of galectin-1 (LGALS1). CRISPR/Cas9-mediated deletion of Lgals1 inhibited differentiation and myotube formation, suggesting an early functional role of galectin-1 in the myogenic program. Importantly, similar changes in N-glycosylation and the upregulation of galectin-1 during postnatal skeletal muscle development were observed in mice. Treatment of new-born mice with recombinant adeno-associated viruses to overexpress galectin-1 in the musculature resulted in enhanced muscle mass. Our data form a valuable resource to further understand the glycobiology of myogenesis and will aid the development of intervention strategies to promote healthy muscle development or regeneration.
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Affiliation(s)
- Ronnie Blazev
- Department of Physiology, Centre for Muscle Research, The University of Melbourne, Melbourne, Victoria, Australia
| | - Christopher Ashwood
- Department of Molecular Sciences, Faculty of Science and Engineering, Macquarie University, Sydney, New South Wales, Australia; CardiOmics Program, Department of Cellular and Integrative Physiology, University of Nebraska Medical Center, Omaha, Nebraska, USA
| | - Jodie L Abrahams
- Department of Molecular Sciences, Faculty of Science and Engineering, Macquarie University, Sydney, New South Wales, Australia
| | - Long H Chung
- School of Life and Environmental Science, Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
| | - Deanne Francis
- School of Life and Environmental Science, Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
| | - Pengyi Yang
- School of Mathematics and Statistics, Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia; Computational Systems Biology Group, Children's Medical Research Institute, University of Sydney, Westmead, New South Wales, Australia
| | - Kevin I Watt
- Department of Physiology, Centre for Muscle Research, The University of Melbourne, Melbourne, Victoria, Australia; Department of Diabetes, Monash University, Melbourne, Victoria, Australia
| | - Hongwei Qian
- Department of Physiology, Centre for Muscle Research, The University of Melbourne, Melbourne, Victoria, Australia
| | - Gregory A Quaife-Ryan
- Cardiac Bioengineering Laboratory, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia; School of Biomedical Sciences, The University of Queensland, Brisbane, Queensland, Australia
| | - James E Hudson
- Cardiac Bioengineering Laboratory, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia; School of Biomedical Sciences, The University of Queensland, Brisbane, Queensland, Australia
| | - Paul Gregorevic
- Department of Physiology, Centre for Muscle Research, The University of Melbourne, Melbourne, Victoria, Australia; Department of Biochemistry and Molecular Biology, Monash University, Melbourne, Victoria, Australia; Department of Neurology, University of Washington School of Medicine, Seattle, Washington, USA
| | - Morten Thaysen-Andersen
- Department of Molecular Sciences, Faculty of Science and Engineering, Macquarie University, Sydney, New South Wales, Australia
| | - Benjamin L Parker
- Department of Physiology, Centre for Muscle Research, The University of Melbourne, Melbourne, Victoria, Australia; School of Life and Environmental Science, Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia.
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4
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Ashwood C, Berg Luecke L, Gundry RL. Abstract MP143: Harnessing Glycomics to Understand Cardiac Biology and Disease. Circ Res 2020. [DOI: 10.1161/res.127.suppl_1.mp143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Cell surface glycoproteins play critical roles in maintaining cardiac structure and function, and the glycan-moiety attached to a protein is critical for proper protein folding, stability, and signaling. Despite mounting evidence that glycan structures are key modulators of heart function and must be considered when developing cardiac biomarkers, we currently do not have a comprehensive view of the glycans present in the normal human heart. Here, we used an innovative mass spectrometry approach to generate the first glycan structure libraries for primary human heart tissue, cardiomyocytes (CM) enriched from human heart tissue, and human induced pluripotent stem cell derived CM (hiPSC-CM), containing >260
N-
and
O-
glycans. Comparing the glycome of CM enriched from primary heart tissue to that of heart tissue homogenate, 21 structures significantly differed, and the high mannose class is increased in enriched CM. Moreover, >30% of the glycome significantly changed across 20-100 days of
in vitro
differentiation, and only 23% of the
N
-glycan structures were shared between hiPSC-CM and primary CM. Overall, these observations are an important complement to genomic, transcriptomic, and proteomic profiling and reveal new considerations for the use and interpretation of hiPSC-CM models for studies of human development, disease, and drug testing. These data are also expected to aid in the evaluation of the immunogenic potential of hiPSC-CM for transplantation. Finally, harnessing differences observed between immature, proliferative hiPSC-CM and adult primary CM may be exploited to drive
in vitro
differentiation towards a more mature phenotype. Building on these data, current efforts are underway to develop chamber- and cell-type specific views (
e.g.
cardiomyocytes, fibroblasts) of the glycome in the healthy and failing human heart. Such analyses provide a key link to understand the role glycosylation plays in cell-type specific functions and cardiac disease. The structural differences observed here, either among cell types or stages of differentiation, require complex regulation of multiple enzymes in the biosynthetic pathway, and therefore would be challenging to measure with antibody arrays, RNAseq, or proteomics. Therefore, continued application of structure-based glycomics approaches, such as the method used here, will be essential for elucidating the roles that glycans and glycoproteins play during developmental and disease processes in the human heart.
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5
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Ashwood C, Waas M, Weerasekera R, Gundry RL. Reference glycan structure libraries of primary human cardiomyocytes and pluripotent stem cell-derived cardiomyocytes reveal cell-type and culture stage-specific glycan phenotypes. J Mol Cell Cardiol 2020; 139:33-46. [PMID: 31972267 DOI: 10.1016/j.yjmcc.2019.12.012] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2019] [Revised: 12/23/2019] [Accepted: 12/27/2019] [Indexed: 12/16/2022]
Abstract
Cell surface glycoproteins play critical roles in maintaining cardiac structure and function in health and disease and the glycan-moiety attached to the protein is critical for proper protein folding, stability and signaling [1]. However, despite mounting evidence that glycan structures are key modulators of heart function and must be considered when developing cardiac biomarkers, we currently do not have a comprehensive view of the glycans present in the normal human heart. In the current study, we used porous graphitized carbon liquid chromatography interfaced with mass spectrometry (PGC-LC-MS) to generate glycan structure libraries for primary human heart tissue homogenate, cardiomyocytes (CM) enriched from human heart tissue, and human induced pluripotent stem cell derived CM (hiPSC-CM). Altogether, we established the first reference structure libraries of the cardiac glycome containing 265 N- and O-glycans. Comparing the N-glycome of CM enriched from primary heart tissue to that of heart tissue homogenate, the same pool of N-glycan structures was detected in each sample type but the relative signal of 21 structures significantly differed between samples, with the high mannose class increased in enriched CM. Moreover, by comparing primary CM to hiPSC-CM collected during 20-100 days of differentiation, dynamic changes in the glycan profile throughout in vitro differentiation were observed and differences between primary and hiPSC-CM were revealed. Namely, >30% of the N-glycome significantly changed across these time-points of differentiation and only 23% of the N-glycan structures were shared between hiPSC-CM and primary CM. These observations are an important complement to current genomic, transcriptomic, and proteomic profiling and reveal new considerations for the use and interpretation of hiPSC-CM models for studies of human development, disease, and drug testing. Finally, these data are expected to support future regenerative medicine efforts by informing targets for evaluating the immunogenic potential of hiPSC-CM and harnessing differences between immature, proliferative hiPSC-CM and adult primary CM.
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Affiliation(s)
- Christopher Ashwood
- Department of Biochemistry, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Matthew Waas
- Department of Biochemistry, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Ranjuna Weerasekera
- Department of Biochemistry, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Rebekah L Gundry
- Department of Biochemistry, Medical College of Wisconsin, Milwaukee, WI 53226, USA; Center for Biomedical Mass Spectrometry Research, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
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6
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Chatterjee S, Lee LY, Kawahara R, Abrahams JL, Adamczyk B, Anugraham M, Ashwood C, Sumer‐Bayraktar Z, Briggs MT, Chik JHL, Everest‐Dass A, Förster S, Hinneburg H, Leite KRM, Loke I, Möginger U, Moh ESX, Nakano M, Recuero S, Sethi MK, Srougi M, Stavenhagen K, Venkatakrishnan V, Wongtrakul‐Kish K, Diestel S, Hoffmann P, Karlsson NG, Kolarich D, Molloy MP, Muders MH, Oehler MK, Packer NH, Palmisano G, Thaysen‐Andersen M. Protein Paucimannosylation Is an EnrichedN‐Glycosylation Signature of Human Cancers. Proteomics 2019; 19:e1900010. [DOI: 10.1002/pmic.201900010] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2019] [Revised: 07/25/2019] [Indexed: 01/01/2023]
Affiliation(s)
- Sayantani Chatterjee
- Department of Molecular Sciences and Biomolecular Discovery and Design Research Centre (BDDRC) Macquarie University Sydney 2109 Australia
| | - Ling Y. Lee
- Department of Molecular Sciences and Biomolecular Discovery and Design Research Centre (BDDRC) Macquarie University Sydney 2109 Australia
- ISGlobal, Barcelona Centre for International Health Research (CRESIB) Hospital Clínic–Universitat de Barcelona Barcelona 08193 Spain
| | - Rebeca Kawahara
- Department of Molecular Sciences and Biomolecular Discovery and Design Research Centre (BDDRC) Macquarie University Sydney 2109 Australia
- Department of Parasitology, Institute of Biomedical Sciences University of São Paulo São Paulo 01000 Brazil
| | - Jodie L. Abrahams
- Department of Molecular Sciences and Biomolecular Discovery and Design Research Centre (BDDRC) Macquarie University Sydney 2109 Australia
- Institute for Glycomics, Griffith University Gold Coast 4222 Australia
| | - Barbara Adamczyk
- Department of Medical Biochemistry and Cell Biology Institute of Biomedicine, Sahlgrenska Academy University of Gothenburg Gothenburg SE 405 30 Sweden
| | - Merrina Anugraham
- Department of Molecular Sciences and Biomolecular Discovery and Design Research Centre (BDDRC) Macquarie University Sydney 2109 Australia
- Institute of Biological Chemistry Academia Sinica Taipei 11529 Taiwan
| | - Christopher Ashwood
- Department of Molecular Sciences and Biomolecular Discovery and Design Research Centre (BDDRC) Macquarie University Sydney 2109 Australia
- Department of Biochemistry Medical College of Wisconsin Milwaukee WI 53226 USA
| | - Zeynep Sumer‐Bayraktar
- Department of Molecular Sciences and Biomolecular Discovery and Design Research Centre (BDDRC) Macquarie University Sydney 2109 Australia
- School of Life and Environmental Sciences Charles Perkins Centre (CPC), The University of Sydney Sydney 2006 Australia
| | - Matthew T. Briggs
- Future Industries Institute Mawson Lakes Campus, University of South Australia Adelaide 5005 Australia
| | - Jenny H. L. Chik
- Department of Molecular Sciences and Biomolecular Discovery and Design Research Centre (BDDRC) Macquarie University Sydney 2109 Australia
- International Collaboration on Repair Discoveries Vancouver Coastal Health Research Institute and Department of Pathology and Laboratory Medicine The University of British Columbia Vancouver BC V6T 1Z4 Canada
| | - Arun Everest‐Dass
- Department of Molecular Sciences and Biomolecular Discovery and Design Research Centre (BDDRC) Macquarie University Sydney 2109 Australia
- Institute for Glycomics, Griffith University Gold Coast 4222 Australia
| | - Sarah Förster
- Rudolf‐Becker‐Laboratory Institute of Pathology University Hospital Bonn Bonn 53127 Germany
| | - Hannes Hinneburg
- Department of Molecular Sciences and Biomolecular Discovery and Design Research Centre (BDDRC) Macquarie University Sydney 2109 Australia
| | - Katia R. M. Leite
- Laboratório de Investigação Médica da Disciplina de Urologia (LIM55) Faculdade de Medicina da FMUSP Universidade de Sao Paulo São Paulo 01000 Brazil
| | - Ian Loke
- Department of Molecular Sciences and Biomolecular Discovery and Design Research Centre (BDDRC) Macquarie University Sydney 2109 Australia
- Department of Biological Sciences National University of Singapore Singapore 119077 Singapore
| | - Uwe Möginger
- Department for Biochemistry and Molecular Biology University of Southern Denmark Odense 5230 Denmark
| | - Edward S. X. Moh
- Department of Molecular Sciences and Biomolecular Discovery and Design Research Centre (BDDRC) Macquarie University Sydney 2109 Australia
- ARC Centre for Nanoscale Biophotonics Macquarie University Sydney 2109 Australia
| | - Miyako Nakano
- Department of Molecular Sciences and Biomolecular Discovery and Design Research Centre (BDDRC) Macquarie University Sydney 2109 Australia
- Graduate School of Advanced Sciences of Matter Hiroshima University Hiroshima 739‐8527 Japan
| | - Saulo Recuero
- Laboratório de Investigação Médica da Disciplina de Urologia (LIM55) Faculdade de Medicina da FMUSP Universidade de Sao Paulo São Paulo 01000 Brazil
| | - Manveen K. Sethi
- Department of Molecular Sciences and Biomolecular Discovery and Design Research Centre (BDDRC) Macquarie University Sydney 2109 Australia
- Center for Biomedical Mass Spectrometry Department of Biochemistry Boston University School of Medicine Boston University Boston MA 02215 USA
| | - Miguel Srougi
- Laboratório de Investigação Médica da Disciplina de Urologia (LIM55) Faculdade de Medicina da FMUSP Universidade de Sao Paulo São Paulo 01000 Brazil
| | - Kathrin Stavenhagen
- Department of Molecular Sciences and Biomolecular Discovery and Design Research Centre (BDDRC) Macquarie University Sydney 2109 Australia
- Beth Israel Deaconess Medical Center Department of Surgery and Harvard Medical School Center for Glycoscience Harvard Medical School Boston MA 02215 USA
| | - Vignesh Venkatakrishnan
- Department of Rheumatology and Inflammation Research Institute of Medicine, Sahlgrenska Academy University of Gothenburg Gothenburg SE 405 30 Sweden
| | - Katherine Wongtrakul‐Kish
- Department of Molecular Sciences and Biomolecular Discovery and Design Research Centre (BDDRC) Macquarie University Sydney 2109 Australia
- Bioprocessing Technology Institute A*STAR Singapore 13862 Singapore
| | - Simone Diestel
- Institute of Nutrition and Food Sciences University of Bonn Bonn 53127 Germany
| | - Peter Hoffmann
- Future Industries Institute Mawson Lakes Campus, University of South Australia Adelaide 5005 Australia
| | - Niclas G. Karlsson
- Department of Medical Biochemistry and Cell Biology Institute of Biomedicine, Sahlgrenska Academy University of Gothenburg Gothenburg SE 405 30 Sweden
| | - Daniel Kolarich
- Institute for Glycomics, Griffith University Gold Coast 4222 Australia
| | - Mark P. Molloy
- Department of Molecular Sciences and Biomolecular Discovery and Design Research Centre (BDDRC) Macquarie University Sydney 2109 Australia
- Faculty of Medicine and Health Sydney School of Medicine Royal North Shore Hospital Sydney 2065 Australia
| | - Michael H. Muders
- Rudolf‐Becker‐Laboratory Institute of Pathology University Hospital Bonn Bonn 53127 Germany
| | - Martin K. Oehler
- Department of Gynaecological Oncology Royal Adelaide Hospital Adelaide 5000 Australia
| | - Nicolle H. Packer
- Department of Molecular Sciences and Biomolecular Discovery and Design Research Centre (BDDRC) Macquarie University Sydney 2109 Australia
- Institute for Glycomics, Griffith University Gold Coast 4222 Australia
- ARC Centre for Nanoscale Biophotonics Macquarie University Sydney 2109 Australia
| | - Giuseppe Palmisano
- Department of Parasitology, Institute of Biomedical Sciences University of São Paulo São Paulo 01000 Brazil
| | - Morten Thaysen‐Andersen
- Department of Molecular Sciences and Biomolecular Discovery and Design Research Centre (BDDRC) Macquarie University Sydney 2109 Australia
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7
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Rojas-Macias MA, Mariethoz J, Andersson P, Jin C, Venkatakrishnan V, Aoki NP, Shinmachi D, Ashwood C, Madunic K, Zhang T, Miller RL, Horlacher O, Struwe WB, Watanabe Y, Okuda S, Levander F, Kolarich D, Rudd PM, Wuhrer M, Kettner C, Packer NH, Aoki-Kinoshita KF, Lisacek F, Karlsson NG. Towards a standardized bioinformatics infrastructure for N- and O-glycomics. Nat Commun 2019; 10:3275. [PMID: 31332201 PMCID: PMC6796180 DOI: 10.1038/s41467-019-11131-x] [Citation(s) in RCA: 53] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2019] [Accepted: 06/24/2019] [Indexed: 12/21/2022] Open
Abstract
The mass spectrometry (MS)-based analysis of free polysaccharides and glycans released from proteins, lipids and proteoglycans increasingly relies on databases and software. Here, we review progress in the bioinformatics analysis of protein-released N- and O-linked glycans (N- and O-glycomics) and propose an e-infrastructure to overcome current deficits in data and experimental transparency. This workflow enables the standardized submission of MS-based glycomics information into the public repository UniCarb-DR. It implements the MIRAGE (Minimum Requirement for A Glycomics Experiment) reporting guidelines, storage of unprocessed MS data in the GlycoPOST repository and glycan structure registration using the GlyTouCan registry, thereby supporting the development and extension of a glycan structure knowledgebase.
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Affiliation(s)
- Miguel A Rojas-Macias
- Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, 40530, Sweden
| | - Julien Mariethoz
- Proteome Informatics Group, SIB Swiss Institute of Bioinformatics, Geneva, 1211, Switzerland
- Computer Science Department, University of Geneva, Geneva, 1227, Switzerland
| | - Peter Andersson
- Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, 40530, Sweden
| | - Chunsheng Jin
- Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, 40530, Sweden
| | - Vignesh Venkatakrishnan
- Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, 40530, Sweden
| | - Nobuyuki P Aoki
- Soka University, Hachioji, 192-8577, Tokyo, Japan
- SparqLite LLC., Hachioji, 192-0032, Tokyo, Japan
| | - Daisuke Shinmachi
- Soka University, Hachioji, 192-8577, Tokyo, Japan
- SparqLite LLC., Hachioji, 192-0032, Tokyo, Japan
| | - Christopher Ashwood
- Department of Molecular Sciences, Macquarie University, Sydney, 2109, Australia
- Department of Biochemistry, Medical College of Wisconsin, Milwaukee, WI, 53226, USA
| | | | - Tao Zhang
- Leiden University Medical Center, Leiden, 2333ZA, Netherlands
| | - Rebecca L Miller
- Copenhagen Centre for Glycomics, Department of Cellular and Molecular Medicine, University of Copenhagen, København, DK-2200, Denmark
| | - Oliver Horlacher
- Proteome Informatics Group, SIB Swiss Institute of Bioinformatics, Geneva, 1211, Switzerland
| | - Weston B Struwe
- Department of Chemistry, Chemistry Research Laboratory, University of Oxford, Oxford, OX1 3TA, UK
| | - Yu Watanabe
- Graduate School of Medical and Dental Sciences, Niigata University, 950-2181, Niigata, Japan
| | - Shujiro Okuda
- Graduate School of Medical and Dental Sciences, Niigata University, 950-2181, Niigata, Japan
| | - Fredrik Levander
- National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Department of Immunotechnology, Lund University, Lund, 22387, Sweden
| | - Daniel Kolarich
- Institute for Glycomics, Gold Coast Campus, Griffith University, Gold Coast, QLD, QLD 4222, Australia
- ARC Centre for Nanoscale BioPhotonics, Macquarie University and Griffith University, North Ryde and Gold Coast, NSW and QLD, NSW 2109 and QLD 4222, Australia
| | - Pauline M Rudd
- Bioprocessing Technology Institute, AStar, Singapore, 138668, Singapore
| | - Manfred Wuhrer
- Leiden University Medical Center, Leiden, 2333ZA, Netherlands
| | | | - Nicolle H Packer
- Department of Molecular Sciences, Macquarie University, Sydney, 2109, Australia
- Institute for Glycomics, Gold Coast Campus, Griffith University, Gold Coast, QLD, QLD 4222, Australia
- ARC Centre for Nanoscale BioPhotonics, Macquarie University and Griffith University, North Ryde and Gold Coast, NSW and QLD, NSW 2109 and QLD 4222, Australia
| | | | - Frédérique Lisacek
- Proteome Informatics Group, SIB Swiss Institute of Bioinformatics, Geneva, 1211, Switzerland
- Computer Science Department, University of Geneva, Geneva, 1227, Switzerland
- Section of Biology, University of Geneva, Geneva, 1211, Switzerland
| | - Niclas G Karlsson
- Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, 40530, Sweden.
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8
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Abstract
Porous graphitized carbon (PGC) based chromatography achieves high-resolution separation of glycan structures released from glycoproteins. This approach is especially valuable when resolving structurally similar isomers and for discovery of novel and/or sample-specific glycan structures. However, the implementation of PGC-based separations in glycomics studies has been limited because system-independent retention values have not been established to normalize technical variation. To address this limitation, this study combined the use of hydrolyzed dextran as an internal standard and Skyline software for post-acquisition normalization to reduce retention time and peak area technical variation in PGC-based glycan analyses. This approach allowed assignment of system-independent retention values that are applicable to typical PGC-based glycan separations and supported the construction of a library containing >300 PGC-separated glycan structures with normalized glucose unit (GU) retention values. To enable the automation of this normalization method, a spectral MS/MS library was developed of the dextran ladder, achieving confident discrimination against isomeric glycans. The utility of this approach is demonstrated in two ways. First, to inform the search space for bioinformatically predicted but unobserved glycan structures, predictive models for two structural modifications, core-fucosylation and bisecting GlcNAc, were developed based on the GU library. Second, the applicability of this method for the analysis of complex biological samples is evidenced by the ability to discriminate between cell culture and tissue sample types by the normalized intensity of N-glycan structures alone. Overall, the methods and data described here are expected to support the future development of more automated approaches to glycan identification and quantitation.
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Affiliation(s)
- Christopher Ashwood
- Department of Molecular Sciences, Macquarie University, Sydney, NSW, Australia. and ARC Centre of Excellence for Nanoscale Biophotonics, Macquarie University, Sydney, NSW, Australia and Department of Biochemistry, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Brian Pratt
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Brendan X MacLean
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Rebekah L Gundry
- Department of Biochemistry, Medical College of Wisconsin, Milwaukee, WI, USA and Center for Biomedical Mass Spectrometry Research, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Nicolle H Packer
- Department of Molecular Sciences, Macquarie University, Sydney, NSW, Australia. and ARC Centre of Excellence for Nanoscale Biophotonics, Macquarie University, Sydney, NSW, Australia
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9
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Abstract
Peptide cleanup is essential for the removal of contaminating substances that may be introduced during sample preparation steps in bottom-up proteomic workflows. Recent studies have described benefits of carboxylate-modified paramagnetic particles over traditional reversed-phase methods for detergent and polymer removal, but challenges with reproducibility have limited the widespread implementation of this approach among laboratories. To overcome these challenges, the current study systematically evaluated key experimental parameters regarding the use of carboxylate-modified paramagnetic particles and determined those that are critical for maximum performance and peptide recovery and those for which the protocol is tolerant to deviation. These results supported the development of a detailed, easy-to-use standard operating protocol, termed SP2, which can be applied to remove detergents and polymers from peptide samples while concentrating the sample in solvent that is directly compatible with typical LC-MS workflows. We demonstrate that SP2 can be applied to phosphopeptides and glycopeptides and that the approach is compatible with robotic liquid handling for automated sample processing. Altogether, the results of this study and accompanying detailed operating protocols for both manual and automated processing are expected to facilitate reproducible implementation of SP2 for various proteomics applications and will especially benefit core or shared resource facilities where unknown or unexpected contaminants may be particularly problematic.
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Affiliation(s)
- Matthew Waas
- Department of Biochemistry, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Michael Pereckas
- Center for Biomedical Mass Spectrometry Research, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | | | - Christopher Ashwood
- Department of Biochemistry, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Rebekah L. Gundry
- Department of Biochemistry, Medical College of Wisconsin, Milwaukee, WI 53226, USA
- Center for Biomedical Mass Spectrometry Research, Medical College of Wisconsin, Milwaukee, WI 53226, USA
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10
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Ashwood C, Lin CH, Thaysen-Andersen M, Packer NH. Discrimination of Isomers of Released N- and O-Glycans Using Diagnostic Product Ions in Negative Ion PGC-LC-ESI-MS/MS. J Am Soc Mass Spectrom 2018; 29:1194-1209. [PMID: 29603058 DOI: 10.1007/s13361-018-1932-z] [Citation(s) in RCA: 73] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2017] [Revised: 01/30/2018] [Accepted: 02/01/2018] [Indexed: 06/08/2023]
Abstract
Profiling cellular protein glycosylation is challenging due to the presence of highly similar glycan structures that play diverse roles in cellular physiology. As the anomericity and the exact linkage type of a single glycosidic bond can influence glycan function, there is a demand for improved and automated methods to confirm detailed structural features and to discriminate between structurally similar isomers, overcoming a significant bottleneck in the analysis of data generated by glycomics experiments. We used porous graphitized carbon-LC-ESI-MS/MS to separate and detect released N- and O-glycan isomers from mammalian model glycoproteins using negative mode resonance activation CID-MS/MS. By interrogating similar fragment spectra from closely related glycan isomers that differ only in arm position and sialyl linkage, product fragment ions for discrimination between these features were discovered. Using the Skyline software, at least two diagnostic fragment ions of high specificity were validated for automated discrimination of sialylation and arm position in N-glycan structures, and sialylation in O-glycan structures, complementing existing structural diagnostic ions. These diagnostic ions were shown to be useful for isomer discrimination using both linear and 3D ion trap mass spectrometers when analyzing complex glycan mixtures from cell lysates. Skyline was found to serve as a useful tool for automated assessment of glycan isomer discrimination. This platform-independent workflow can potentially be extended to automate the characterization and quantitation of other challenging glycan isomers. Graphical Abstract ᅟ.
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Affiliation(s)
- Christopher Ashwood
- Department of Molecular Sciences, Macquarie University, Sydney, Australia
- Australian Research Council Centre of Excellence for Nanoscale Biophotonics, Macquarie University, Sydney, Australia
| | - Chi-Hung Lin
- Department of Molecular Sciences, Macquarie University, Sydney, Australia
- Australian Proteome Analysis Facility, Macquarie University, Sydney, Australia
- Institute for Glycomics, Griffith University, Southport, Australia
| | | | - Nicolle H Packer
- Department of Molecular Sciences, Macquarie University, Sydney, Australia.
- Australian Research Council Centre of Excellence for Nanoscale Biophotonics, Macquarie University, Sydney, Australia.
- Institute for Glycomics, Griffith University, Southport, Australia.
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11
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Everest-Dass AV, Moh ESX, Ashwood C, Shathili AMM, Packer NH. Human disease glycomics: technology advances enabling protein glycosylation analysis - part 2. Expert Rev Proteomics 2018. [PMID: 29521143 DOI: 10.1080/14789450.2018.1448710] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
INTRODUCTION The changes in glycan structures have been attributed to disease states for several decades. The surface glycosylation pattern is a signature of physiological state of a cell. In this review we provide a link between observed substructural glycan changes and a range of diseases. Areas covered: We highlight biologically relevant glycan substructure expression in cancer, inflammation, neuronal diseases and diabetes. Furthermore, the alterations in antibody glycosylation in a disease context are described. Expert commentary: Advances in technologies, as described in Part 1 of this review have now enabled the characterization of specific glycan structural markers of a range of disease states. The requirement of including glycomics in cross-disciplinary omics studies, such as genomics, proteomics, epigenomics, transcriptomics and metabolomics towards a systems glycobiology approach to understanding disease mechanisms and management are highlighted.
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Affiliation(s)
- Arun V Everest-Dass
- a Faculty of Science and Engineering, Biomolecular Discovery and Design Research Centre , Macquarie University , Sydney , Australia.,b ARC Centre for Nanoscale BioPhotonics , Macquarie University , Sydney , Australia.,c Institute for Glycomics , Griffith University , Gold Coast , Australia
| | - Edward S X Moh
- a Faculty of Science and Engineering, Biomolecular Discovery and Design Research Centre , Macquarie University , Sydney , Australia.,b ARC Centre for Nanoscale BioPhotonics , Macquarie University , Sydney , Australia
| | - Christopher Ashwood
- a Faculty of Science and Engineering, Biomolecular Discovery and Design Research Centre , Macquarie University , Sydney , Australia.,b ARC Centre for Nanoscale BioPhotonics , Macquarie University , Sydney , Australia
| | - Abdulrahman M M Shathili
- a Faculty of Science and Engineering, Biomolecular Discovery and Design Research Centre , Macquarie University , Sydney , Australia.,b ARC Centre for Nanoscale BioPhotonics , Macquarie University , Sydney , Australia
| | - Nicolle H Packer
- a Faculty of Science and Engineering, Biomolecular Discovery and Design Research Centre , Macquarie University , Sydney , Australia.,b ARC Centre for Nanoscale BioPhotonics , Macquarie University , Sydney , Australia.,c Institute for Glycomics , Griffith University , Gold Coast , Australia
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12
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Everest-Dass AV, Moh ESX, Ashwood C, Shathili AMM, Packer NH. Human disease glycomics: technology advances enabling protein glycosylation analysis - part 1. Expert Rev Proteomics 2018; 15:165-182. [PMID: 29285957 DOI: 10.1080/14789450.2018.1421946] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
INTRODUCTION Protein glycosylation is recognized as an important post-translational modification, with specific substructures having significant effects on protein folding, conformation, distribution, stability and activity. However, due to the structural complexity of glycans, elucidating glycan structure-function relationships is demanding. The fine detail of glycan structures attached to proteins (including sequence, branching, linkage and anomericity) is still best analysed after the glycans are released from the purified or mixture of glycoproteins (glycomics). The technologies currently available for glycomics are becoming streamlined and standardized and many features of protein glycosylation can now be determined using instruments available in most protein analytical laboratories. Areas covered: This review focuses on the current glycomics technologies being commonly used for the analysis of the microheterogeneity of monosaccharide composition, sequence, branching and linkage of released N- and O-linked glycans that enable the determination of precise glycan structural determinants presented on secreted proteins and on the surface of all cells. Expert commentary: Several emerging advances in these technologies enabling glycomics analysis are discussed. The technological and bioinformatics requirements to be able to accurately assign these precise glycan features at biological levels in a disease context are assessed.
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Affiliation(s)
- Arun V Everest-Dass
- a Biomolecular Discovery and Design Research Centre, Faculty of Science and Engineering , Macquarie University , Sydney , Australia.,b Institute for Glycomics , Griffith University , Gold Coast , Australia.,c ARC Centre for Nanoscale BioPhotonics , Macquarie University , Sydney , Australia
| | - Edward S X Moh
- a Biomolecular Discovery and Design Research Centre, Faculty of Science and Engineering , Macquarie University , Sydney , Australia.,c ARC Centre for Nanoscale BioPhotonics , Macquarie University , Sydney , Australia
| | - Christopher Ashwood
- a Biomolecular Discovery and Design Research Centre, Faculty of Science and Engineering , Macquarie University , Sydney , Australia.,c ARC Centre for Nanoscale BioPhotonics , Macquarie University , Sydney , Australia
| | - Abdulrahman M M Shathili
- a Biomolecular Discovery and Design Research Centre, Faculty of Science and Engineering , Macquarie University , Sydney , Australia.,c ARC Centre for Nanoscale BioPhotonics , Macquarie University , Sydney , Australia
| | - Nicolle H Packer
- a Biomolecular Discovery and Design Research Centre, Faculty of Science and Engineering , Macquarie University , Sydney , Australia.,b Institute for Glycomics , Griffith University , Gold Coast , Australia.,c ARC Centre for Nanoscale BioPhotonics , Macquarie University , Sydney , Australia
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13
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Ashwood C, Abrahams JL, Nevalainen H, Packer NH. Enhancing structural characterisation of glucuronidated O-linked glycans using negative mode ion trap higher energy collision-induced dissociation mass spectrometry. Rapid Commun Mass Spectrom 2017; 31:851-858. [PMID: 28277614 DOI: 10.1002/rcm.7851] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2016] [Revised: 02/20/2017] [Accepted: 03/04/2017] [Indexed: 06/06/2023]
Abstract
RATIONALE High protein production and secretion with eukaryotic glycosylation machinery make T. reesei RUT-C30 a suitable expression host for recombinant proteins. The N-glycosylation of secreted proteins of RUT-C30 is known to vary depending on culture nutrients but O-glycosylation has been less extensively studied. METHODS O-Glycans and glycopeptides from secreted proteins were separated by porous graphitised carbon and C-18 liquid chromatography, respectively. O-Glycans were analysed in negative ion mode by electrospray ionisation linear ion trap mass spectrometry and glycopeptides in positive ion mode by electrospray ionisation hybrid quadrupole-orbitrap mass spectrometry. Tandem mass spectrometry was used on O-glycans and glycopeptides including ion trap higher energy collision-induced dissociation (tHCD) to detect glycan fragments not detectable with standard ion trap fragmentation. tHCD allowed targeted MS3 experiments to be performed on structures containing hexuronic acid, which was not possible with ion trap CID, validating this novel O-glycan composition. Positive mode C18-LC/ESI-MS/MS was used to identify and characterise glycopeptides found to be modified with this class of O-glycans, identifying cellobiohydrolase I as a carrier of these novel O-glycans. RESULTS Negative mode ion trap higher energy collision-induced dissociation allowed detection and targeted MS3 experiments to be performed on the hexuronic acid substituent of O-glycan structures, which was not possible with ion trap CID, validating the novel O-glycan composition to include hexuronic acid. Using glycopeptide analysis, this novel O-glycan composition was found to be present on the catalytic domain of cellobiohydrolase I, the most abundant secreted protein by T. reesei. CONCLUSIONS These are the first reported O-glycans to contain acidic sugars in fungi and they could have significant implications for cellobiohydrolase I structure and activity as well as the activity of recombinant proteins expressed in this host system. Copyright © 2017 John Wiley & Sons, Ltd.
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Affiliation(s)
- Christopher Ashwood
- Department of Chemistry and Biomolecular Sciences, Macquarie University, Sydney, NSW, 2109, Australia
- ARC Centre of Excellence for Nanoscale BioPhotonics, Macquarie University, Sydney, NSW, 2109, Australia
| | - Jodie L Abrahams
- Department of Chemistry and Biomolecular Sciences, Macquarie University, Sydney, NSW, 2109, Australia
| | - Helena Nevalainen
- Department of Chemistry and Biomolecular Sciences, Macquarie University, Sydney, NSW, 2109, Australia
| | - Nicolle H Packer
- Department of Chemistry and Biomolecular Sciences, Macquarie University, Sydney, NSW, 2109, Australia
- ARC Centre of Excellence for Nanoscale BioPhotonics, Macquarie University, Sydney, NSW, 2109, Australia
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14
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Ashwood C. Apartheid: state of oppression. Nurs Stand 1988; 3:48-9. [PMID: 3070406 DOI: 10.7748/ns.3.10.48.s92] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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