Total Cellular Glycomics Allows Characterizing Cells and Streamlining the Discovery Process for Cellular Biomarkers
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Serum N-Glycomics Stratifies Bacteremic Patients Infected With
Journal of Clinical Medicine Article Serum N-Glycomics Stratifies Bacteremic Patients Infected with Different Pathogens Sayantani Chatterjee 1,2 , Rebeca Kawahara 1,2, Harry C. Tjondro 1,2, David R. Shaw 3, Marni A. Nenke 4,5,6, David J. Torpy 4,5 and Morten Thaysen-Andersen 1,2,* 1 Department of Molecular Sciences, Macquarie University, Sydney, NSW 2109, Australia; [email protected] (S.C.); [email protected] (R.K.); [email protected] (H.C.T.) 2 Biomolecular Discovery Research Centre, Macquarie University, Sydney, NSW 2109, Australia 3 Infectious Diseases Clinic, Royal Adelaide Hospital, Adelaide, SA 5000, Australia; [email protected] 4 Endocrine and Metabolic Unit, Royal Adelaide Hospital, Adelaide, SA 5000, Australia; [email protected] (M.A.N.); [email protected] (D.J.T.) 5 School of Medicine, University of Adelaide, Adelaide, SA 5000, Australia 6 Department of Endocrinology and Diabetes, The Queen Elizabeth Hospital, Woodville South, SA 5011, Australia * Correspondence: [email protected]; Tel.: +61-2-9850-7487; Fax: +61-2-9850-6192 Abstract: Bacteremia—i.e., the presence of pathogens in the blood stream—is associated with long- term morbidity and is a potential precursor condition to life-threatening sepsis. Timely detection of bacteremia is therefore critical to reduce patient mortality, but existing methods lack precision, speed, and sensitivity to effectively stratify bacteremic patients. Herein, we tested the potential of quantitative serum N-glycomics performed using porous graphitized carbon liquid chromatography tandem mass spectrometry to stratify bacteremic patients infected with Escherichia coli (n = 11), Citation: Chatterjee, S.; Kawahara, Staphylococcus aureus (n = 11), Pseudomonas aeruginosa (n = 5), and Streptococcus viridans (n = 5) from R.; Tjondro, H.C.; Shaw, D.R.; Nenke, healthy donors (n = 39). -
Immunological Approaches to Biomass Characterization and Utilization
REVIEW published: 28 October 2015 doi: 10.3389/fbioe.2015.00173 Immunological approaches to biomass characterization and utilization Sivakumar Pattathil1,2* , Utku Avci1,2 , Tiantian Zhang1 , Claudia L. Cardenas1† and Michael G. Hahn1,2 1 Complex Carbohydrate Research Center, University of Georgia, Athens, GA, USA, 2 Oak Ridge National Laboratory, BioEnergy Science Center (BESC), Oak Ridge, TN, USA Plant biomass is the major renewable feedstock resource for sustainable generation of alternative transportation fuels to replace fossil carbon-derived fuels. Lignocellulosic cell walls are the principal component of plant biomass. Hence, a detailed understanding of plant cell wall structure and biosynthesis is an important aspect of bioenergy research. Cell walls are dynamic in their composition and structure, varying considerably among Edited by: Jason Lupoi, different organs, cells, and developmental stages of plants. Hence, tools are needed that University of Queensland, USA are highly efficient and broadly applicable at various levels of plant biomass-based bioen- Reviewed by: ergy research. The use of plant cell wall glycan-directed probes has seen increasing use Xu Fang, Shandong University, China over the past decade as an excellent approach for the detailed characterization of cell Arumugam Muthu, walls. Large collections of such probes directed against most major cell wall glycans are Council of Scientific and Industrial currently available worldwide. The largest and most diverse set of such probes consists Research, India of cell wall glycan-directed monoclonal antibodies (McAbs). These McAbs can be used *Correspondence: Sivakumar Pattathil as immunological probes to comprehensively monitor the overall presence, extractability, [email protected] and distribution patterns among cell types of most major cell wall glycan epitopes using †Present address: two mutually complementary immunological approaches, glycome profiling (an in vitro Claudia L. -
Glycomics Meets Genomics, Epigenomics and Other High Throughput Omics for System Biology Studies
COCHBI-1014; NO. OF PAGES 7 Available online at www.sciencedirect.com Glycomics meets genomics, epigenomics and other high throughput omics for system biology studies 1 1 2,3 Vlatka Zoldosˇ , Tomislav Horvat and Gordan Lauc Majority of eukaryotic proteins are glycosylated and their Both inherited (genetic) and acquired (environmental) glycan moieties have numerous important structural, functional factors that modulate glycosylation affect numerous mol- and regulatory roles. Because of structural complexity of ecular processes, including interactions with specific glycans and technological limitations glycomics, and receptors or half-life of numerous membrane proteins particularly glycoproteomics was not able to follow rapid [3]. Both quantitative and qualitative changes in the progress in genomics and proteomics over last 30 years. repertoire of glycan structures have been found in many However, the field of glycan has been progressing rapidly and complex diseases and cancer [4]. However, due to the first large-scale studies of the glycome have been completed structural complexity of glycans and technological limita- recently. These studies have revealed significant differences in tions the knowledge of functional importance of glycans glycome composition between individuals, which may is significantly lagging behind the knowledge of DNA and contribute to the human phenotypic variability. The current proteins. state-of-the-art in high-throughput glycomics and its integration with genomics, epigenomics and lipidomics is The development of high-throughput reviewed in this article. quantitative glycomic analysis Addresses Until only a few years ago glycan analysis was extremely 1 University of Zagreb, Faculty of Science, Zagreb, Croatia 2 laborious and complex, hampering large-scale studies of University of Zagreb, Faculty of Pharmacy and Biochemistry, Zagreb, Croatia the glycome. -
Insights of New Tools in Glycomics Research Denong Wang1 * and Srinubabu Gedela2,3
Journal of Proteomics & Bioinformatics - Open Access Editorial JPB/Vol.1/November 2008 Insights of New Tools In Glycomics Research Denong Wang1 * and Srinubabu Gedela2,3 1Stanford Tumor Glycome Laboratory, Stanford University School of Medicine, Beckman Center, Rm B006, 279 Campus Drive, Stanford, CA 94305-5120, USA 2Center for Biotechnology & International Center for Bioinformatics, Andhra University College of Engineering, Visakhapatnam-530003, India. 3Institute of Glycoproteomics & Systems Biology, Andhra Pradesh, India *Corresponding authors: Denong Wang, Stanford Tumor Glycome Laboratory, Stanford University School of Medicine, Beckman Center, Rm B006, 279 Campus Drive, Stanford, CA 94305-5120, USA, E-mail: [email protected] Srinubabu Gedela: [email protected] Received November 01, 2008; Accepted November 04, 2008; Published November 05, 2008 Citation: Denong W, Srinubabu G (2008) Insights of New tools in Glycomics Research. J Proteomics Bioinform 1: 374-378. doi:10.4172/jpb.1000046 Copyright: © 2008 Denong W, Srinubabu G. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Since the origin of Journal of Proteomics & Bioinformatics the equivalence of papers published from different –omics disciplines is steadfast. The present editorial describes the new tools in glycomics research. -omics era Completion of the genome sequencing projects not only on the outer surfaces of the majority of viral, bacterial, pro- provides insight into the complex origin, history and related- tozoan and fungal pathogens. Many sugar structures are ness of the species, but also helps in understanding molecu- pathogen-specific, which makes them important molecular lar pathology of genetic diseases. -
Designing Tools for Studying the Dynamic Glycome John F
Marshall University Marshall Digital Scholar Chemistry Faculty Research Chemistry Winter 12-2012 Designing Tools for Studying the Dynamic Glycome John F. Rakus Marshall University, [email protected] Follow this and additional works at: http://mds.marshall.edu/chemistry_faculty Part of the Organic Chemistry Commons Recommended Citation Rakus, J. F. (2012, December). Designing tools for studying the dynamic glycome. Invited Lecture at Sonoma State University, Rohnert Park, CA. This Presentation is brought to you for free and open access by the Chemistry at Marshall Digital Scholar. It has been accepted for inclusion in Chemistry Faculty Research by an authorized administrator of Marshall Digital Scholar. For more information, please contact [email protected]. NYU Cover Cells are primarily compose of three types of biomolecules Protein (50% dry weight) HeLa cell Nucleic acid (25% dry weight) Carbohydrate (10% dry weight) Carbohydrates are pervasive and involved in many cellular interactions Holgersson et al, Immuno Cell Biol, 2005 Laughlin et al, Science, 2008 Nucleic acids and proteins are synthesized with a defined template and dedicated polymerases Macromolecule: Nucleic acid Macromolecule: polypeptide Polymerase: DNA Pol or RNA Pol Polymerase: Ribosome Template: DNA strand Template: mRNA strand Glycan biosynthesis lacks a dedicated polymerase and genetic template Formation of Glc3Man9GlcNAc2-DolPP, an intermediate in the N-linked glycosylation pathway, requires 12 separate enzymes Essentially, each linkage in an oligosaccharide is -
Combinatorial Glycomic Analyses to Direct Cazyme Discovery for the Tailored Degradation of Canola Meal Non-Starch Dietary Polysaccharides
microorganisms Article Combinatorial Glycomic Analyses to Direct CAZyme Discovery for the Tailored Degradation of Canola Meal Non-Starch Dietary Polysaccharides Kristin E. Low 1 , Xiaohui Xing 1,2, Paul E. Moote 1,3, G. Douglas Inglis 1,3,4 , Sivasankari Venketachalam 5,6, Michael G. Hahn 5,6,7 , Marissa L. King 1, Catherine Y. Tétard-Jones 8, Darryl R. Jones 1, William G. T. Willats 8, Bogdan A. Slominski 9 and D. Wade Abbott 1,2,4,* 1 Lethbridge Research and Development Centre, Agriculture and Agri-Food Canada, Lethbridge, AB T1J 4B1, Canada; [email protected] (K.E.L.); [email protected] (X.X.); [email protected] (P.E.M.); [email protected] (G.D.I.); [email protected] (M.L.K.); [email protected] (D.R.J.) 2 Department of Chemistry and Biochemistry, University of Lethbridge, Lethbridge, AB T1K 3M4, Canada 3 Department of Agricultural, Food & Nutritional Science, University of Alberta, Edmonton, AB T6G 2P5, Canada 4 Department of Biological Sciences, University of Lethbridge, Lethbridge, AB T1K 3M4, Canada 5 Complex Carbohydrate Research Center, University of Georgia, Athens, GA 30602, USA; [email protected] (S.V.); [email protected] (M.G.H.) 6 Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA 7 Department of Plant Biology, University of Georgia, Athens, GA 30602, USA 8 School of Natural and Environmental Sciences, Newcastle University, Newcastle Upon Tyne NE1 7RU, UK; [email protected] (C.Y.T.-J.); [email protected] (W.G.T.W.) 9 Department of Animal Science, University of Manitoba, Winnipeg, MB R3T 2N2, Canada; [email protected] * Correspondence: [email protected] Received: 30 September 2020; Accepted: 20 November 2020; Published: 29 November 2020 Abstract: Canola meal (CM), the protein-rich by-product of canola oil extraction, has shown promise as an alternative feedstuff and protein supplement in poultry diets, yet its use has been limited due to the abundance of plant cell wall fibre, specifically non-starch polysaccharides (NSP) and lignin. -
The Structure and Function of the Starch Utilization System in Bacteroides Thetaiotaomicron
The Structure and Function of the Starch Utilization System in Bacteroides thetaiotaomicron by Elizabeth Ann Cameron A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Microbiology and Immunology) in the University of Michigan 2014 Doctoral Committee: Assistant Professor Eric C. Martens, Chair Assistant Professor Nicole M. Koropatkin Associate Professor Maria B. Sandkvist Associate Professor Mark A. Saper Professor Michele S. Swanson Acknowledgements I would first like to thank my thesis mentor Dr. Eric Martens for all of his support and guidance over the past five years. Thank you for pushing me to test my hypotheses from every angle and always listening to and valuing my ideas. You have always been my biggest advocate, which has given me the confidence to become a more independent scientist. I have been very lucky to have another fantastic mentor in Dr. Nicole Koropatkin. Nicole you have consistently challenged me to think about things in new and different ways and have taught me to always consider the bigger picture. I also thank you for your constant support in lab and in life. I would like to thank my committee members: Dr. Michele Swanson, Dr. Maria Sandkvist and Dr. Mark Saper. Thank you for your feedback and guidance. I would like to thank Michele Swanson in particular for her advice and support during my search for a post- doctoral position. I would like to thank all current and past members of the Martens and Koropatkin labs for your helpful advice and input over the years. I would particularly like to thank Nick Pudlo for helping me in countless ways and making the lab a fun place to work. -
1 Metabolomic and Glycomic Findings in Posttraumatic Stress Disorder Marcela Konjevoda, Lucija Tudora, Dubravka Svob Straca
CORE Metadata, citation and similar papers at core.ac.uk Metabolomic and glycomic findings in posttraumatic stress disorder Marcela Konjevoda, Lucija Tudora, Dubravka Svob Straca, Gordana Nedic Erjaveca,b, Coral Barbasb, Neven Zarkovica, Matea Nikolac Perkovica, Suzana Uzunc,d, Oliver Kozumplikc,d, Gordan Lauce, Nela Pivaca,* aRudjer Boskovic Institute, Division of Molecular Medicine, Bijenicka cesta 54, 10000 Zagreb, Croatia bThe Centre of Metabolomics and Bioanalysis (CEMBIO), University San Pablo CEU, Urbanización Montepríncipe, 28660 Boadilla del Monte, Madrid, Spain cClinic for Psychiatry Vrapce, Bolnicka cesta 32, 10000 Zagreb, Croatia dUniversity Josip Juraj Strossmayer Osijek, School of Medicine, Trg Svetog Trojstva 3, 31000 Osijek, Croatia eGENOS, Glycoscience Research Laboratory, Borongajska cesta 83, 10000 Zagreb, Croatia *Correspondence to: Professor Nela Pivac, PhD, Senior Scientist Division of Molecular Medicine Rudjer Boskovic Institute Bijenicka cesta 54, 10 000 Zagreb, Croatia Phone: + 385 1 457 1207; Fax: + 385 1 456 1010 E-mail: [email protected] 1 Abstract Posttraumatic stress disorder (PTSD) is a stressor-related disorder that develops in a subset of individuals exposed to a traumatic experience. Factors associated with vulnerability to PTSD are still not fully understood. PTSD is frequently comorbid with various psychiatric and somatic disorders, moderate response to treatment and remission rates. The term “theranostics” combines diagnosis, prognosis, and therapy and offers targeted therapy based on specific analyses. -
The N-Glycome Regulates the Endothelial-To-Hematopoietic Transition
bioRxiv preprint doi: https://doi.org/10.1101/602912; this version posted August 6, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Title: The N-Glycome regulates the endothelial-to-hematopoietic transition Authors: Dionna M. Kasper1, 2, 4, Jared Hintzen1, 2, 4, Yinyu Wu1, 2, 4, Joey J. Ghersi1, 2, 4, Hanna K. Mandl1, 5 2, 4, Kevin E. Salinas1, 2, 4, William Armero1, 2, 4, Zhiheng He1, 2, 4, Ying Sheng7, Yixuan Xie7, Daniel W. Heindel5, Eon Joo Park3, 4, William C. Sessa3, 4, Lara K. Mahal5,6, Carlito Lebrilla7, Karen K. Hirschi1, 2, 4, 8*, Stefania Nicoli1,2,3,4* Affiliations: 10 1Yale Cardiovascular Research Center, Department of Internal Medicine, Section of Cardiology, Yale University School of Medicine, New Haven, CT 06511, USA 2Department of Genetics, Yale University School of Medicine, New Haven, CT 06510, USA 15 3 Department of Pharmacology, Yale University School of Medicine, New Haven, CT 06510, USA 4Vascular Biology & Therapeutics Program, Yale University School of Medicine, New Haven, CT 06520, USA 20 5Biomedical Chemistry Institute, Department of Chemistry, New York University, New York, NY 10003, USA 6Department of Chemistry, University of Alberta, Edmonton, AB, T6G 2G2, Canada 25 7Department of Chemistry, University of California, Davis, CA 95616 8Developmental Genomics Center, Cell Biology Department, University of Virginia School of Medicine, Charlottesville, VA 22908 30 * Correspondence to: [email protected], [email protected] 1 bioRxiv preprint doi: https://doi.org/10.1101/602912; this version posted August 6, 2020. -
Microfluidics Coupled Mass Spectrometry for Multi- Omics/Targeted Assays in Translational Research
MICROFLUIDICS COUPLED MASS SPECTROMETRY FOR MULTI- OMICS/TARGETED ASSAYS IN TRANSLATIONAL RESEARCH PD Rainville1, G Astarita1, JP Murphy1, ID Wilson2, JI Langridge1 1Waters Corporation, Milford, MA; 2Imperial College, London, United Kingdom INTRODUCTION Lipidomics of human plasma RESULTS Translation medicine is an interdisciplinary science that Sample Preparation Human plasma samples were prepared by modified Bligh-Dyer extraction with aims at combining the information taken from bench to Figure 4. BPI of multiple- bedside. In this process molecules are isolated and chloroform : methanol (2:1) with a (4:1) with human plasma. The samples were then centrifuged at 13,000 RCF for 5 min, dried down, reconstituted and omics experiments from identified in discovery and then utilized in the clinical injected onto the LC-MS system. human urine and plasma setting as biomarkers of health and disease to better run consecutively. The develop therapies. It has become recently apparent that LC-MS profiling of biofluids was carried out in repetitive proteomics, metabolomics, lipidomics, and glycomics data A 1 µL injection was made onto the LC-MS system. The sample was eluted order of polar plasma under gradient conditions with aqueous formic acid/acetonitrile (40/60) and combined are necessary to address the challenge of profiling, plasma acetonitrile/isopropanol (10/90) at a flow rate of 3 µL/min. Separation was translational research which places strain on available lipidomics, and urine carried out on an iKey CSH C18 100 Å, 1.7µm, 150 µm x 100 mm controlled 1-4 profiling over a period of sample and instrument utilization . Due to the at 60 °C. -
Experimental Section
EXPERIMENTAL SECTION Detailed description of N-glycomics analysis. N-glycan release from plasma samples The N-glycan release of the discovery set was performed in microcentrifuge tubes, while the glycan release of the testing set was performed in 96-well plates. Both methods were shown to perform similarly (Supplementary Figure 3). The procedures are the same and similar to previously published methods (1, 2). Briefly, 25 μL of a 200mM ammonium bicarbonate (Sigma-Aldrich, St. Louis, MO) solution with 10 mM dithiothreitol (DTT, Promega, Madison, WI) was added to 25 μL of plasma. For the discovery set, this was performed in microcentrifuge tubes; for the testing set, this was performed in 96-well plates. Proteins in the samples were denatured using six cycles alternating between 100°C and room temperature (RT) for 10 seconds each. One µL of PNGaseF (New England Biolabs, Ipswich, MA, corresponding to 1000 NEB units or 15 IUB mU) was added to the samples, and enzymatic glycan release was performed for the discovery set in a CEM (Matthews, NC) microwave at 20W for 10 min. Enzymatic release was performed in batches of 23 samples and one standard serum, to allow quality control. For the testing set, glycan release was performed overnight (16h) at 37°C and a standard serum sample was included in the plate after every ten samples to allow quality control. Upon glycan release, deglycosylated proteins were precipitated using 200 µL of ice-cold ethanol, and the samples were chilled at -80°C for 1 hour. Upon centrifugation, the supernatant was transferred, and dried in vacuo. -
Semantics of Data for Life Sciences and Reproducible Research[Version 1
F1000Research 2020, 9:136 Last updated: 16 AUG 2021 OPINION ARTICLE BioHackathon 2015: Semantics of data for life sciences and reproducible research [version 1; peer review: 2 approved] Rutger A. Vos 1,2, Toshiaki Katayama 3, Hiroyuki Mishima4, Shin Kawano 3, Shuichi Kawashima3, Jin-Dong Kim3, Yuki Moriya3, Toshiaki Tokimatsu5, Atsuko Yamaguchi 3, Yasunori Yamamoto3, Hongyan Wu6, Peter Amstutz7, Erick Antezana 8, Nobuyuki P. Aoki9, Kazuharu Arakawa10, Jerven T. Bolleman 11, Evan Bolton12, Raoul J. P. Bonnal13, Hidemasa Bono 3, Kees Burger14, Hirokazu Chiba15, Kevin B. Cohen16,17, Eric W. Deutsch18, Jesualdo T. Fernández-Breis19, Gang Fu12, Takatomo Fujisawa20, Atsushi Fukushima 21, Alexander García22, Naohisa Goto23, Tudor Groza24,25, Colin Hercus26, Robert Hoehndorf27, Kotone Itaya10, Nick Juty28, Takeshi Kawashima20, Jee-Hyub Kim28, Akira R. Kinjo29, Masaaki Kotera30, Kouji Kozaki 31, Sadahiro Kumagai32, Tatsuya Kushida 33, Thomas Lütteke 34,35, Masaaki Matsubara 36, Joe Miyamoto37, Attayeb Mohsen 38, Hiroshi Mori39, Yuki Naito3, Takeru Nakazato3, Jeremy Nguyen-Xuan40, Kozo Nishida41, Naoki Nishida42, Hiroyo Nishide15, Soichi Ogishima43, Tazro Ohta3, Shujiro Okuda44, Benedict Paten45, Jean-Luc Perret46, Philip Prathipati38, Pjotr Prins47,48, Núria Queralt-Rosinach 49, Daisuke Shinmachi9, Shinya Suzuki 30, Tsuyosi Tabata50, Terue Takatsuki51, Kieron Taylor 28, Mark Thompson52, Ikuo Uchiyama 15, Bruno Vieira53, Chih-Hsuan Wei12, Mark Wilkinson 54, Issaku Yamada 36, Ryota Yamanaka55, Kazutoshi Yoshitake56, Akiyasu C. Yoshizawa50, Michel