N-Glycosylation Processing Pathways Across Kingdoms Cheng-Yu Chung, Natalia I
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The Diversity of Dolichol-Linked Precursors to Asn-Linked Glycans Likely Results from Secondary Loss of Sets of Glycosyltransferases
The diversity of dolichol-linked precursors to Asn-linked glycans likely results from secondary loss of sets of glycosyltransferases John Samuelson*†, Sulagna Banerjee*, Paula Magnelli*, Jike Cui*, Daniel J. Kelleher‡, Reid Gilmore‡, and Phillips W. Robbins* *Department of Molecular and Cell Biology, Boston University Goldman School of Dental Medicine, 715 Albany Street, Boston, MA 02118-2932; and ‡Department of Biochemistry and Molecular Biology, University of Massachusetts Medical School, Worcester, MA 01665-0103 Contributed by Phillips W. Robbins, December 17, 2004 The vast majority of eukaryotes (fungi, plants, animals, slime mold, to N-glycans of improperly folded proteins, which are retained in and euglena) synthesize Asn-linked glycans (Alg) by means of a the ER by conserved glucose-binding lectins (calnexin͞calreticulin) lipid-linked precursor dolichol-PP-GlcNAc2Man9Glc3. Knowledge of (13). Although the Alg glycosyltransferases in the lumen of ER this pathway is important because defects in the glycosyltrans- appear to be eukaryote-specific, archaea and Campylobacter sp. ferases (Alg1–Alg12 and others not yet identified), which make glycosylate the sequon Asn and͞or contain glycosyltransferases dolichol-PP-glycans, lead to numerous congenital disorders of with domains like those of Alg1, Alg2, Alg7, and STT3 (1, 14–16). glycosylation. Here we used bioinformatic and experimental Protists, unicellular eukaryotes, suggest three notable exceptions methods to characterize Alg glycosyltransferases and dolichol- to the N-linked glycosylation path described in yeast and animals PP-glycans of diverse protists, including many human patho- (17). First, the kinetoplastid Trypanosoma cruzi (cause of Chagas gens, with the following major conclusions. First, it is demon- myocarditis), fails to glucosylate the dolichol-PP-linked precursor strated that common ancestry is a useful method of predicting and so makes dolichol-PP-GlcNAc2Man9 (18). -
Targeted Metabolic Labeling of Yeast N-Glycans with Unnatural Sugars
Targeted metabolic labeling of yeast N-glycans with unnatural sugars Mark A. Breidenbacha, Jennifer E. G. Gallagherb, David S. Kingc, Brian P. Smarta, Peng Wua,2, and Carolyn R. Bertozzia,b,c,d,1 aDepartments of Chemistry; bMolecular and Cell Biology; and cHoward Hughes Medical Institute, University of California, Berkeley, CA 94720; and dThe Molecular Foundry, Lawrence Berkeley National Laboratory, Berkeley, CA 94720 Edited by David A. Tirrell, California Institute of Technology, Pasadena, CA, and approved December 23, 2009 (received for review September 30, 2009) Metabolic labeling of glycans with synthetic sugar analogs has and mass spectrometric analyses of proteins displaying the nonna- emerged as an attractive means for introducing nonnatural chemi- tural chemical functionality (5, 6). cal functionality into glycoproteins. However, the complexities of While existing glycan labeling methodology is suitable for stud- glycan biosynthesis prevent the installation of nonnatural moieties ies that require only stochastic insertion of analogs at low levels, at defined, predictable locations within glycoproteins at high levels the technique is inadequate for applications in which specific of incorporation. Here, we demonstrate that the conserved monosaccharides must be reliably targeted for metabolic replace- N-acetyglucosamine (GlcNAc) residues within chitobiose cores of ment. For example, high-efficiency and predictable installation of N-glycans in the model organism Saccharomyces cerevisiae can sugar analogs could dramatically facilitate biophysical studies of be specifically targeted for metabolic replacement by unnatural glycoprotein structure and function via site-specific introduction sugars. We introduced an exogenous GlcNAc salvage pathway into of fluorophores and heavy atoms. Unfortunately, site-specific me- yeast, allowing cells to metabolize GlcNAc provided as a supple- tabolic labeling of glycans is hindered by multiple factors. -
High Affinity Biomolecular Interactions That Can Mediate Binding of Pathogenic Bacteria to Host Cells
Glycan:glycan interactions: High affinity biomolecular interactions that can mediate binding of pathogenic bacteria to host cells Christopher J. Daya,1, Elizabeth N. Tranb, Evgeny A. Semchenkoa, Greg Trama, Lauren E. Hartley-Tassella, Preston S. K. Nga, Rebecca M. Kinga, Rachel Ulanovskya, Sarah McAtamneya, Michael A. Apicellac, Joe Tiralongoa, Renato Moronab,2, Victoria Korolika,2, and Michael P. Jenningsa,1,2 aInstitute for Glycomics, Griffith University Gold Coast Campus, Gold Coast, QLD 4222, Australia; bSchool of Biological Sciences, Department of Molecular and Cellular Biology, University of Adelaide, Adelaide, SA 5005, Australia; and cDepartment of Microbiology, University of Iowa, Iowa City, IA 52242 Edited by Rino Rappuoli, GSK Vaccines, Siena, Italy, and approved November 10, 2015 (received for review November 3, 2014) Cells from all domains of life express glycan structures attached to Interestingly, there are specific reports of several bacteria lipids and proteins on their surface, called glycoconjugates. Cell-to- expressing truncated surface polysaccharides and oligosaccharides cell contact mediated by glycan:glycan interactions have been that are significantly less adherent than wild-type equivalents considered to be low-affinity interactions that precede high- (10, 11), or that their adherence can be blocked by extracted affinity protein–glycan or protein–protein interactions. In several LOS/LPS (10), indicating a role for bacterial surface glycans in pathogenic bacteria, truncation of surface glycans, lipooligosac- adherence to host cells. This decreased adherence of rough strains charide (LOS), or lipopolysaccharide (LPS) have been reported to or blocking of adherence using the free lipooligosaccharide (LOS)/ significantly reduce bacterial adherence to host cells. Here, we lipopolysaccharide (LPS) in both cell-based and animal infection show that the saccharide component of LOS/LPS have direct, models has been noted in a range of Gram-negative bacteria in- high-affinity interactions with host glycans. -
Physical Interactions Between the Alg1, Alg2, and Alg11 Mannosyltransferases of the Endoplasmic Reticulum
Glycobiology vol. 14 no. 6 pp. 559±570, 2004 DOI: 10.1093/glycob/cwh072 Advance Access publication on March 24, 2004 Physical interactions between the Alg1, Alg2, and Alg11 mannosyltransferases of the endoplasmic reticulum Xiao-Dong Gao2, Akiko Nishikawa1, and Neta Dean1 begins on the cytosolic face of the ER, where seven sugars (two N-acetylglucoseamines and five mannoses) are added 1Department of Biochemistry and Cell Biology, Institute for Cell and Developmental Biology, State University of New York, Stony Brook, sequentially to dolichyl phosphate on the outer leaflet of NY 11794-5215, and 2Research Center for Glycoscience, National the ER, using nucleotide sugar donors (Abeijon and Institute of Advanced Industrial Science and Technology, Tsukuba Hirschberg, 1992; Perez and Hirschberg, 1986; Snider and Downloaded from https://academic.oup.com/glycob/article/14/6/559/638968 by guest on 30 September 2021 Central 6, 1-1 Higashi, Tsukuba 305-8566, Japan Rogers, 1984). After a ``flipping'' or translocation step, the Received on January 26, 2004; revised on March 2, 2004; accepted on last seven sugars (four mannoses and three glucoses) are March 2, 2004 added within the lumen of the ER, using dolichol-linked sugar donors (Burda and Aebi, 1999). Once assembled, the The early steps of N-linked glycosylation involve the synthesis oligosaccharide is transferred from the lipid to nascent of a lipid-linked oligosaccharide, Glc3Man9GlcNAc2-PP- protein in a reaction catalyzed by oligosaccharyltransferase. dolichol, on the endoplasmic reticulum (ER) membrane. After removal of terminal glucoses and a single mannose, Prior to its lumenal translocation and transfer to nascent nascent glycoproteins bearing the N-linked Man8GlcNAc2 glycoproteins, mannosylation of Man5GlcNAc2-PP-dolichol core can exit the ER to the Golgi, where this core may is catalyzed by the Alg1, Alg2, and Alg11 mannosyltrans- undergo further carbohydrate modifications. -
Metabolomics Analysis of Skeletal Muscles from FKRP-Deficient Mice
www.nature.com/scientificreports OPEN Metabolomics Analysis of Skeletal Muscles from FKRP-Defcient Mice Indicates Improvement After Gene Received: 21 March 2019 Accepted: 28 June 2019 Replacement Therapy Published: xx xx xxxx Charles Harvey Vannoy 1, Victoria Leroy1, Katarzyna Broniowska2 & Qi Long Lu1 Muscular dystrophy-dystroglycanopathies comprise a heterogeneous and complex group of disorders caused by loss-of-function mutations in a multitude of genes that disrupt the glycobiology of α-dystroglycan, thereby afecting its ability to function as a receptor for extracellular matrix proteins. Of the various genes involved, FKRP codes for a protein that plays a critical role in the maturation of a novel glycan found only on α-dystroglycan. Yet despite knowing the genetic cause of FKRP-related dystroglycanopathies, the molecular pathogenesis of disease and metabolic response to therapeutic intervention has not been fully elucidated. To address these challenges, we utilized mass spectrometry- based metabolomics to generate comprehensive metabolite profles of skeletal muscle across diseased, treated, and normal states. Notably, FKRP-defcient mice elicit diverse metabolic abnormalities in biomarkers of extracellular matrix remodeling and/or aging, pentoses/pentitols, glycolytic intermediates, and lipid metabolism. More importantly, the restoration of FKRP protein activity following AAV-mediated gene therapy induced a substantial correction of these metabolic impairments. While interconnections of the afected molecular mechanisms remain unclear, -
A Systematic Review on the Implications of O-Linked Glycan Branching and Truncating Enzymes on Cancer Progression and Metastasis
cells Review A Systematic Review on the Implications of O-linked Glycan Branching and Truncating Enzymes on Cancer Progression and Metastasis 1, 1, 1 1,2,3, Rohitesh Gupta y, Frank Leon y, Sanchita Rauth , Surinder K. Batra * and Moorthy P. Ponnusamy 1,2,* 1 Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE 68105, USA; [email protected] (R.G.); [email protected] (F.L.); [email protected] (S.R.) 2 Fred and Pamela Buffett Cancer Center, Eppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, NE 681980-5900, USA 3 Department of Pathology and Microbiology, UNMC, Omaha, NE 68198-5900, USA * Correspondence: [email protected] (S.K.B.); [email protected] (M.P.P.); Tel.: +402-559-5455 (S.K.B.); +402-559-1170 (M.P.P.); Fax: +402-559-6650 (S.K.B. & M.P.P.) Equal contribution. y Received: 21 January 2020; Accepted: 12 February 2020; Published: 14 February 2020 Abstract: Glycosylation is the most commonly occurring post-translational modifications, and is believed to modify over 50% of all proteins. The process of glycan modification is directed by different glycosyltransferases, depending on the cell in which it is expressed. These small carbohydrate molecules consist of multiple glycan families that facilitate cell–cell interactions, protein interactions, and downstream signaling. An alteration of several types of O-glycan core structures have been implicated in multiple cancers, largely due to differential glycosyltransferase expression or activity. Consequently, aberrant O-linked glycosylation has been extensively demonstrated to affect biological function and protein integrity that directly result in cancer growth and progression of several diseases. -
Glycosylation: Rising Potential for Prostate Cancer Evaluation
cancers Review Glycosylation: Rising Potential for Prostate Cancer Evaluation Anna Kałuza˙ * , Justyna Szczykutowicz and Mirosława Ferens-Sieczkowska Department of Chemistry and Immunochemistry, Wroclaw Medical University, Sklodowskiej-Curie 48/50, 50-369 Wroclaw, Poland; [email protected] (J.S.); [email protected] (M.F.-S.) * Correspondence: [email protected]; Tel.: +48-71-770-30-66 Simple Summary: Aberrant protein glycosylation is a well-known hallmark of cancer and is as- sociated with differential expression of enzymes such as glycosyltransferases and glycosidases. The altered expression of the enzymes triggers cancer cells to produce glycoproteins with specific cancer-related aberrations in glycan structures. Increasing number of data indicate that glycosylation patterns of PSA and other prostate-originated proteins exert a potential to distinguish between benign prostate disease and cancer as well as among different stages of prostate cancer development and aggressiveness. This review summarizes the alterations in glycan sialylation, fucosylation, truncated O-glycans, and LacdiNAc groups outlining their potential applications in non-invasive diagnostic procedures of prostate diseases. Further research is desired to develop more general algorithms exploiting glycobiology data for the improvement of prostate diseases evaluation. Abstract: Prostate cancer is the second most commonly diagnosed cancer among men. Alterations in protein glycosylation are confirmed to be a reliable hallmark of cancer. Prostate-specific antigen is the biomarker that is used most frequently for prostate cancer detection, although its lack of sensitivity and specificity results in many unnecessary biopsies. A wide range of glycosylation alterations in Citation: Kałuza,˙ A.; Szczykutowicz, prostate cancer cells, including increased sialylation and fucosylation, can modify protein function J.; Ferens-Sieczkowska, M. -
Broad and Thematic Remodeling of the Surface Glycoproteome on Isogenic
bioRxiv preprint doi: https://doi.org/10.1101/808139; this version posted October 17, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Broad and thematic remodeling of the surface glycoproteome on isogenic cells transformed with driving proliferative oncogenes Kevin K. Leung1,5, Gary M. Wilson2,5, Lisa L. Kirkemo1, Nicholas M. Riley2,4, Joshua J. Coon2,3, James A. Wells1* 1Department of Pharmaceutical Chemistry, UCSF, San Francisco, CA, USA Departments of Chemistry2 and Biomolecular Chemistry3, University of Wisconsin- Madison, Madison, WI, 53706, USA 4Present address Department of Chemistry, Stanford University, Stanford, CA, 94305, USA 5These authors contributed equally *To whom correspondence should be addressed bioRxiv preprint doi: https://doi.org/10.1101/808139; this version posted October 17, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Abstract: The cell surface proteome, the surfaceome, is the interface for engaging the extracellular space in normal and cancer cells. Here We apply quantitative proteomics of N-linked glycoproteins to reveal how a collection of some 700 surface proteins is dramatically remodeled in an isogenic breast epithelial cell line stably expressing any of six of the most prominent proliferative oncogenes, including the receptor tyrosine kinases, EGFR and HER2, and downstream signaling partners such as KRAS, BRAF, MEK and AKT. -
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
Protein Identities in Evs Isolated from U87-MG GBM Cells As Determined by NG LC-MS/MS
Protein identities in EVs isolated from U87-MG GBM cells as determined by NG LC-MS/MS. No. Accession Description Σ Coverage Σ# Proteins Σ# Unique Peptides Σ# Peptides Σ# PSMs # AAs MW [kDa] calc. pI 1 A8MS94 Putative golgin subfamily A member 2-like protein 5 OS=Homo sapiens PE=5 SV=2 - [GG2L5_HUMAN] 100 1 1 7 88 110 12,03704523 5,681152344 2 P60660 Myosin light polypeptide 6 OS=Homo sapiens GN=MYL6 PE=1 SV=2 - [MYL6_HUMAN] 100 3 5 17 173 151 16,91913397 4,652832031 3 Q6ZYL4 General transcription factor IIH subunit 5 OS=Homo sapiens GN=GTF2H5 PE=1 SV=1 - [TF2H5_HUMAN] 98,59 1 1 4 13 71 8,048185945 4,652832031 4 P60709 Actin, cytoplasmic 1 OS=Homo sapiens GN=ACTB PE=1 SV=1 - [ACTB_HUMAN] 97,6 5 5 35 917 375 41,70973209 5,478027344 5 P13489 Ribonuclease inhibitor OS=Homo sapiens GN=RNH1 PE=1 SV=2 - [RINI_HUMAN] 96,75 1 12 37 173 461 49,94108966 4,817871094 6 P09382 Galectin-1 OS=Homo sapiens GN=LGALS1 PE=1 SV=2 - [LEG1_HUMAN] 96,3 1 7 14 283 135 14,70620005 5,503417969 7 P60174 Triosephosphate isomerase OS=Homo sapiens GN=TPI1 PE=1 SV=3 - [TPIS_HUMAN] 95,1 3 16 25 375 286 30,77169764 5,922363281 8 P04406 Glyceraldehyde-3-phosphate dehydrogenase OS=Homo sapiens GN=GAPDH PE=1 SV=3 - [G3P_HUMAN] 94,63 2 13 31 509 335 36,03039959 8,455566406 9 Q15185 Prostaglandin E synthase 3 OS=Homo sapiens GN=PTGES3 PE=1 SV=1 - [TEBP_HUMAN] 93,13 1 5 12 74 160 18,68541938 4,538574219 10 P09417 Dihydropteridine reductase OS=Homo sapiens GN=QDPR PE=1 SV=2 - [DHPR_HUMAN] 93,03 1 1 17 69 244 25,77302971 7,371582031 11 P01911 HLA class II histocompatibility antigen, -
Integrated Metabolomics and Proteomics Highlight Altered
Carcinogenesis, 2017, Vol. 38, No. 3, 271–280 doi:10.1093/carcin/bgw205 Advance Access publication January 3, 2017 Original Manuscript original manuscript Integrated metabolomics and proteomics highlight altered nicotinamide and polyamine pathways in lung adenocarcinoma Johannes F.Fahrmann1,†, Dmitry Grapov2,†, Kwanjeera Wanichthanarak1, Brian C.DeFelice1, Michelle R.Salemi3, William N.Rom4, David R.Gandara5, Brett S.Phinney3, Oliver Fiehn1,6, Harvey Pass7 and Suzanne Miyamoto5,* 1University of California, Davis, West Coast Metabolomics Center, Davis, CA, USA, 2CDS Creative Data Solutions, Ballwin, MO, USA, 3Genome Center Proteomics Core Facility, UC Davis, Davis CA, USA 4Division of Pulmonary, Critical Care, and Sleep, NYU School of Medicine, New York, NY, USA, 5Division of Hematology and Oncology, Department of Internal Medicine, School of Medicine, University of California, Davis Medical Center, Sacramento, CA, USA, 6Department of Biochemistry, Faculty of Sciences, King Abdulaziz University, Jeddah, Saudi-Arabia, 7Division of Thoracic Surgery, Department of Cardiothoracic Surgery, Langone Medical Center, New York University, New York, NY, USA *To whom correspondence should be addressed. Tel: 916-734-3769; Email: [email protected] †-These authors contributed equally to this work. Abstract Lung cancer is the leading cause of cancer mortality in the United States with non-small cell lung cancer adenocarcinoma being the most common histological type. Early perturbations in cellular metabolism are a hallmark of cancer, but the extent of these changes in early stage lung adenocarcinoma remains largely unknown. In the current study, an integrated metabolomics and proteomics approach was utilized to characterize the biochemical and molecular alterations between malignant and matched control tissue from 27 subjects diagnosed with early stage lung adenocarcinoma. -
Yeast Genome Gazetteer P35-65
gazetteer Metabolism 35 tRNA modification mitochondrial transport amino-acid metabolism other tRNA-transcription activities vesicular transport (Golgi network, etc.) nitrogen and sulphur metabolism mRNA synthesis peroxisomal transport nucleotide metabolism mRNA processing (splicing) vacuolar transport phosphate metabolism mRNA processing (5’-end, 3’-end processing extracellular transport carbohydrate metabolism and mRNA degradation) cellular import lipid, fatty-acid and sterol metabolism other mRNA-transcription activities other intracellular-transport activities biosynthesis of vitamins, cofactors and RNA transport prosthetic groups other transcription activities Cellular organization and biogenesis 54 ionic homeostasis organization and biogenesis of cell wall and Protein synthesis 48 plasma membrane Energy 40 ribosomal proteins organization and biogenesis of glycolysis translation (initiation,elongation and cytoskeleton gluconeogenesis termination) organization and biogenesis of endoplasmic pentose-phosphate pathway translational control reticulum and Golgi tricarboxylic-acid pathway tRNA synthetases organization and biogenesis of chromosome respiration other protein-synthesis activities structure fermentation mitochondrial organization and biogenesis metabolism of energy reserves (glycogen Protein destination 49 peroxisomal organization and biogenesis and trehalose) protein folding and stabilization endosomal organization and biogenesis other energy-generation activities protein targeting, sorting and translocation vacuolar and lysosomal