The Clinical Relevance of Glycobiology
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Glycobiology Protocols M E T H O D S I N M O L E C U L a R B I O L O G Y™
Glycobiology Protocols M E T H O D S I N M O L E C U L A R B I O L O G Y™ John M. Walker, SERIES EDITOR 384. Capillary Electrophoresis: Methods and Protocols, 357. Cardiovascular Proteomics: Methods and Protocols, edited by Philippe Schmitt-Kopplin, 2007 edited by Fernando Vivanco, 2006 383. Cancer Genomics and Proteomics: Methods and 356. High-Content Screening: A Powerful Approach Protocols, edited by Paul B. Fisher, 2007 to Systems Cell Biology and Drug Discovery, 382. Microarrays, Second Edition: Volume 2, Applications edited by D. Lansing Taylor, Jeffrey Haskins, and Data Analysis, edited by Jang B. Rampal, 2007 and Ken Guiliano, 2007 381. Microarrays, Second Edition: Volume 1, Synthesis 355. Plant Proteomics: Methods and Protocols, edited Methods, edited by Jang B. Rampal, 2007 by Hervé Thiellement, Michel Zivy, Catherine 380. Immunological Tolerance: Methods and Protocols, Damerval, and Valerie Mechin, 2006 edited by Paul J. Fairchild, 2007 354. Plant–Pathogen Interactions: Methods and 379. Glycovirology Protocols, edited by Richard J. Protocols, edited by Pamela C. Ronald, 2006 Sugrue, 2007 353. DNA Analysis by Nonradioactive Probes: Methods 378. Monoclonal Antibodies: Methods and Protocols, and Protocols, edited by Elena Hilario and John. F. edited by Maher Albitar, 2007 MacKay, 2006 377. Microarray Data Analysis: Methods and 3352.52 Protein Engineering Protocols, edited by Kristian Applications, edited by Michael J. Korenberg, 2007 Müller and Katja Arndt, 2006 376. Linkage Disequilibrium and Association 3351.51 C. elegans: Methods and Applications, edited by Mapping: Analysis and Application, edited by Kevin Strange, 2006 Andrew R. Collins, 2007 3350.50 Protein Folding Protocols, edited by Yawen Bai 375. -
A Yeast Phenomic Model for the Gene Interaction Network Modulating
Louie et al. Genome Medicine 2012, 4:103 http://genomemedicine.com/content/4/12/103 RESEARCH Open Access A yeast phenomic model for the gene interaction network modulating CFTR-ΔF508 protein biogenesis Raymond J Louie3†, Jingyu Guo1,2†, John W Rodgers1, Rick White4, Najaf A Shah1, Silvere Pagant3, Peter Kim3, Michael Livstone5, Kara Dolinski5, Brett A McKinney6, Jeong Hong2, Eric J Sorscher2, Jennifer Bryan4, Elizabeth A Miller3* and John L Hartman IV1,2* Abstract Background: The overall influence of gene interaction in human disease is unknown. In cystic fibrosis (CF) a single allele of the cystic fibrosis transmembrane conductance regulator (CFTR-ΔF508) accounts for most of the disease. In cell models, CFTR-ΔF508 exhibits defective protein biogenesis and degradation rather than proper trafficking to the plasma membrane where CFTR normally functions. Numerous genes function in the biogenesis of CFTR and influence the fate of CFTR-ΔF508. However it is not known whether genetic variation in such genes contributes to disease severity in patients. Nor is there an easy way to study how numerous gene interactions involving CFTR-ΔF would manifest phenotypically. Methods: To gain insight into the function and evolutionary conservation of a gene interaction network that regulates biogenesis of a misfolded ABC transporter, we employed yeast genetics to develop a ‘phenomic’ model, in which the CFTR-ΔF508-equivalent residue of a yeast homolog is mutated (Yor1-ΔF670), and where the genome is scanned quantitatively for interaction. We first confirmed that Yor1-ΔF undergoes protein misfolding and has reduced half-life, analogous to CFTR-ΔF. Gene interaction was then assessed quantitatively by growth curves for approximately 5,000 double mutants, based on alteration in the dose response to growth inhibition by oligomycin, a toxin extruded from the cell at the plasma membrane by Yor1. -
CHEM 537: Carbohydrate Biochemistry and Glycobiology Instructor: Professor Anthony S
CHEM 537: Carbohydrate Biochemistry and Glycobiology Instructor: Professor Anthony S. Serianni Fall 2014 8:10-9:15 AM, MWF, 322 Jordan November 14 – December 12, 2014 PART A: Monosaccharides, Oligosaccharides and Polysaccharides Textbook Biochemistry, 4th Edition, Voet/Voet, Wiley, 2011 Chapter 11: Sugars and Polysaccharides Chapter 23: Other Pathways of Carbohydrate Metabolism Supplemental Text (useful for course; on reserve in Chem/Phys Library) M. E. Taylor and K. Drickamer, Introduction to Glycobiology, 3rd Ed., Oxford, 2011 Literature Reading: Distributed electronically Topics: Aldoses and ketoses: structures, nomenclature, absolute configuration Cyclization: furanose and pyranose ring forms; anomeric configuration Anomerization (implications for saccharide binding proteins) Relative stabilities of cyclic forms Acyclic forms: aldehydo and keto forms, and their hydrates Ring conformation: conformational averaging Exocyclic conformations (C-O, N-acetyl, CH2OH) Amphiphilic character of saccharides (implications for receptor binding) Saccharide solvation: H-bonding behaviors Monosaccharide derivatives: Phosphate esters Sulfate esters Aminosugars Deoxysugars Alditols Aldonic acids (lactones) Uronic acids Dicarbonyl sugars (osones) α-ketoacids (sialic acid, KDO) Aldose-ketose isomerization (chemical, biological) Di- and oligosaccharide nomenclature Formation of glycosidic bonds: disaccharides (chemical, biological)s Mechanisms of glycoside bond formation and hydrolysis Phi/psi plots for glycosidic linkages Factors affecting linkage conformation; -
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. -
PS CV Comp 050917
CURRICULUM VITAE NAME: Pamela Mary Stanley (nee Fetherstonhaugh) Lab Homepage http://www.einstein.yu.edu/departments/cellbiology/faculty/stanley/home/ NATIONALITY: Australian/American EDUCATION: l965-l967 Bachelor of Science University of Melbourne, Australia Majored in Biochemistry and Microbiology l968 B. Sc. Hons., Walter and Eliza Hall Institute, Melbourne, Australia Commonwealth Post-graduate Award Advisor: Gordon L. Ada Thesis: Tolerance to Foreign Erythrocytes Using Antigen-Containing Extracts of the Erythrocyte Membrane. l969-l972 Research for degree of Doctor of Philosophy in the Department of Microbiology, University of Melbourne, Australia Commonwealth Post-graduate Award Advisor: Professor David O. White Thesis: Influenza Virus Proteins l972-l975 Postdoctoral Fellow of the Medical Research Council of Canada in the Department of Medical Genetics, University of Toronto, Canada Advisor: Dr. Louis Siminovitch Postdoctoral Fellowship from the Medical Research Council of Canada Topic: The Isolation and Characterization of Lectin Resistant Chinese Hamster Ovary Cells. POSITIONS HELD: l976 Research Associate Department of Medical Genetics University of Toronto Toronto, Ontario, Canada l977-1982 Assistant Professor Dept. of Cell Biology Albert Einstein College of Medicine Bronx, New York 1982-1986 Associate Professor Dept. of Cell Biology Albert Einstein College of Medicine Bronx, New York 1986 Professor Department of Cell Biology Albert Einstein College of Medicine Bronx, New York 1994-2007 Director Training Program in Cell & Molecular Biology, Biochemistry & Genetics, NIGMS 1 1988-2012 Program leader Membrane Molecular Biology Albert Einstein Cancer Center 2002- Associate Director for Laboratory Research Albert Einstein NCI Cancer Center 2007- Horace W. Goldsmith Foundation Chair. HONORS: Dunlop Prize for First Place in Biochemistry (1966 and 1967) Aust. -
Discovery and the Genic Map of the Human Genome
Downloaded from genome.cshlp.org on October 6, 2021 - Published by Cold Spring Harbor Laboratory Press RESEARCH The Genexpress Index: A Resource for Gene Discovery and the Genic Map of the Human Genome R6mi Houlgatte, 1'2'3' R6gine Mariage-Samson, 1'2'3 Simone Duprat, 2 Anne Tessier, 2 Simone Bentolila, 1'2 Bernard Lamy, 2 and Charles Auffray 1'2'4 1Genexpress, Centre National de la Recherche Scientifique (CNRS) UPR420, 94801 Villejuif CEDEX, France; 2Genexpress, G4n6thon, 91002 Evry CEDEX, France Detailed analysis of a set of 18,698 sequences derived from both ends of 10,979 human skeletal muscle and brain cDNA clones defined 6676 functional families, characterized by their sequence signatures over 5750 distinct human gene transcripts. About half of these genes have been assigned to specific chromosomes utilizing 2733 eSTS markers, the polymerase chain reaction, and DNA from human-rodent somatic cell hybrids. Sequence and clone clustering and a functional classification together with comprehensive data base searches and annotations made it possible to develop extensive sequence and map cross-indexes, define electronic expression profiles, identify a new set of overlapping genes, and provide numerous new candidate genes for human pathologies. During the last 20 years, since the first descrip- 1993; Park et al. 1993; Takeda et al. 1993; Affara tions of eucaryotic cDNA cloning (Rougeon et al. et al. 1994; Davies et al. 1994; Kerr et al. 1994; 1975; Efstratiadis et al. 1976), cDNA studies have Konishi et al. 1994; Kurata et al. 1994; Liew et al. played a central role in molecular genetics. Early 1994; Murakawa et al. -
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 -
Congenital Disorders of Glycosylation from a Neurological Perspective
brain sciences Review Congenital Disorders of Glycosylation from a Neurological Perspective Justyna Paprocka 1,* , Aleksandra Jezela-Stanek 2 , Anna Tylki-Szyma´nska 3 and Stephanie Grunewald 4 1 Department of Pediatric Neurology, Faculty of Medical Science in Katowice, Medical University of Silesia, 40-752 Katowice, Poland 2 Department of Genetics and Clinical Immunology, National Institute of Tuberculosis and Lung Diseases, 01-138 Warsaw, Poland; [email protected] 3 Department of Pediatrics, Nutrition and Metabolic Diseases, The Children’s Memorial Health Institute, W 04-730 Warsaw, Poland; [email protected] 4 NIHR Biomedical Research Center (BRC), Metabolic Unit, Great Ormond Street Hospital and Institute of Child Health, University College London, London SE1 9RT, UK; [email protected] * Correspondence: [email protected]; Tel.: +48-606-415-888 Abstract: Most plasma proteins, cell membrane proteins and other proteins are glycoproteins with sugar chains attached to the polypeptide-glycans. Glycosylation is the main element of the post- translational transformation of most human proteins. Since glycosylation processes are necessary for many different biological processes, patients present a diverse spectrum of phenotypes and severity of symptoms. The most frequently observed neurological symptoms in congenital disorders of glycosylation (CDG) are: epilepsy, intellectual disability, myopathies, neuropathies and stroke-like episodes. Epilepsy is seen in many CDG subtypes and particularly present in the case of mutations -
NICU Gene List Generator.Xlsx
Neonatal Crisis Sequencing Panel Gene List Genes: A2ML1 - B3GLCT A2ML1 ADAMTS9 ALG1 ARHGEF15 AAAS ADAMTSL2 ALG11 ARHGEF9 AARS1 ADAR ALG12 ARID1A AARS2 ADARB1 ALG13 ARID1B ABAT ADCY6 ALG14 ARID2 ABCA12 ADD3 ALG2 ARL13B ABCA3 ADGRG1 ALG3 ARL6 ABCA4 ADGRV1 ALG6 ARMC9 ABCB11 ADK ALG8 ARPC1B ABCB4 ADNP ALG9 ARSA ABCC6 ADPRS ALK ARSL ABCC8 ADSL ALMS1 ARX ABCC9 AEBP1 ALOX12B ASAH1 ABCD1 AFF3 ALOXE3 ASCC1 ABCD3 AFF4 ALPK3 ASH1L ABCD4 AFG3L2 ALPL ASL ABHD5 AGA ALS2 ASNS ACAD8 AGK ALX3 ASPA ACAD9 AGL ALX4 ASPM ACADM AGPS AMELX ASS1 ACADS AGRN AMER1 ASXL1 ACADSB AGT AMH ASXL3 ACADVL AGTPBP1 AMHR2 ATAD1 ACAN AGTR1 AMN ATL1 ACAT1 AGXT AMPD2 ATM ACE AHCY AMT ATP1A1 ACO2 AHDC1 ANK1 ATP1A2 ACOX1 AHI1 ANK2 ATP1A3 ACP5 AIFM1 ANKH ATP2A1 ACSF3 AIMP1 ANKLE2 ATP5F1A ACTA1 AIMP2 ANKRD11 ATP5F1D ACTA2 AIRE ANKRD26 ATP5F1E ACTB AKAP9 ANTXR2 ATP6V0A2 ACTC1 AKR1D1 AP1S2 ATP6V1B1 ACTG1 AKT2 AP2S1 ATP7A ACTG2 AKT3 AP3B1 ATP8A2 ACTL6B ALAS2 AP3B2 ATP8B1 ACTN1 ALB AP4B1 ATPAF2 ACTN2 ALDH18A1 AP4M1 ATR ACTN4 ALDH1A3 AP4S1 ATRX ACVR1 ALDH3A2 APC AUH ACVRL1 ALDH4A1 APTX AVPR2 ACY1 ALDH5A1 AR B3GALNT2 ADA ALDH6A1 ARFGEF2 B3GALT6 ADAMTS13 ALDH7A1 ARG1 B3GAT3 ADAMTS2 ALDOB ARHGAP31 B3GLCT Updated: 03/15/2021; v.3.6 1 Neonatal Crisis Sequencing Panel Gene List Genes: B4GALT1 - COL11A2 B4GALT1 C1QBP CD3G CHKB B4GALT7 C3 CD40LG CHMP1A B4GAT1 CA2 CD59 CHRNA1 B9D1 CA5A CD70 CHRNB1 B9D2 CACNA1A CD96 CHRND BAAT CACNA1C CDAN1 CHRNE BBIP1 CACNA1D CDC42 CHRNG BBS1 CACNA1E CDH1 CHST14 BBS10 CACNA1F CDH2 CHST3 BBS12 CACNA1G CDK10 CHUK BBS2 CACNA2D2 CDK13 CILK1 BBS4 CACNB2 CDK5RAP2 -
GLYCO 21 XXI International Symposium on Glycoconjugates
GLYCO 21 XXI International Symposium on Glycoconjugates Abstracts August 21-26, 2011 Vienna, Austria Glycoconj J (2011) 28: 197–36 9 Organising Committee Erika Staudacher (Austria) Leopold März (Austria) Günter Allmaier (Austria) Lothar Brecker (Austria) Josef Glössl (Austria) Hanspeter Kählig (Austria) Paul Kosma (Austria) Lukas Mach (Austria) Paul Messner (Austria) Walther Schmid (Austria) Igor Tvaroška (Slovakia) Reinhard Vlasak (Austria) Iain Wilson (Austria) Scientifi c Program Committee Iain Wilson (Austria) Paul Messner (Austria) Günter Allmaier (Austria) Reginald Bittner (Austria) Paul Kosma (Austria) Eva Stöger (Austria) Graham Warren (Austria) John Hanover (USA; nominated by the Society for Glycobiology) Kelly ten Hagen (USA; nominated by the Society for Glycobiology) supported in abstract selection by Michael Duchêne (Austria) Catherine Merry (UK) Tadashi Suzuki (Japan) Abstracts of the 21st International Symposium on Glycoconjugates The International Glycoconjugate Organisation Gerald W. Hart, President Leopold März, President-elect Paul Gleeson, Immediate Past-president Sandro Sonnino, Secretary Thierry Hennet, Treasurer National Representatives Pedro Bonay (Spain) to replace Angelo Reglero Nicolai Bovin (Russia) Jin Won Cho (Korea) Henrik Clausen (Denmark) Anne Dell (UK) Jukka Finne (Finland) Paul Gleeson (Australia) Jianxin Gu (China) Gerald Hart (USA) Thierry Hennet (Switzerland) Jim Jamieson (Canada) Gordan Lauc (Croatia) Hakon Leffl er (Sweden) Jean-Claude Michalski (France) Werner Reutter (Germany) Sandro Sonnino (Italy) Avadhesha Surolia (India) Ken Kitajima (Japan) Maciej Ugorski (Poland) Johannes F.G. Vliegenthart (The Netherlands) Iain Wilson (Austria) to replace Leopold März Albert M. Wu (Taiwan) Lode Wyns (Belgium) Yehiel Zick (Israel) Glycoconj J (2011) 28: 197–369 Past Presidents Eugene. A. Davidson (USA) Alan B. Foster (UK) Paul Gleeson (Australia) Mary Catherine Glick (USA) Colin Hughes (UK) Roger W. -
We Consider the Ordinary Differential Equation Model of the Metal Rolling
We consider the ordinary differential equation model of the metal rolling process defined in K. Gal- kowski, E. Rogers, W. Paszke and D. H. Owens, Linear repetitive process control theory applied to a physical example, Int. J. Appl. Comput. Sci., 13 (2003), 87-99. In order to do that, we firstly define the Ore algebra formed by the derivative D w.r.t. time t and by the shift operator S acting on the discrete variable k which denotes the pass number. > Alg1 := DefineOreAlgebra(diff=[D,t], dual_shift=[S,k], polynom=[t,k], > comm=[lambda,lambda1,lambda2,M]): The system matrix is defined by: > R1 := evalm([[D^2+lambda/M-(lambda/lambda1)*D^2*S-(lambda/M)*S, > lambda/(M*lambda2)]]); λ λ D2 S λ S λ R1 := D2 + − − M λ1 M M λ2 Then, the system is defined by the following equation > ApplyMatrix(R1, [y(t,k), FM(t,k)], Alg1)[1,1]=0; (λ y(t, k) λ1 λ2 − λ y(t, k − 1) λ1 λ2 + D1, 1(y)(t, k) M λ1 λ2 − λ D1, 1(y)(t, k − 1) M λ2 + λ FM(t, k) λ1)/(M λ1 λ2) = 0 which corresponds to (4) of the previously quoted paper. Let us check the structural properties of the previous system (e.g., controllability, parametrizability, flatness). > R1_adj := Involution(R1, Alg1): It is known that the Alg1 -module associated with the matrix R1 is torsion-free iff the first extension module of the Alg1 -module associated with R1 adj with values in Alg1 is 0. We compute this extension module by using Exti: > Ext1 := Exti(R1_adj, Alg1, 1); Ext1 := [ 1 , M λ D2 S λ2 − M D2 λ1 λ2 + λ S λ1 λ2 − λ λ1 λ2 −λ λ1 , −λ λ1 ] M D2 λ1 λ2 − M λ D2 S λ2 + λ λ1 λ2 − λ S λ1 λ2 As the first matrix Ext1 [1] is an identity matrix, we obtain that the Alg1 -module associated with R1 is torsion-free, and thus, the corresponding system is controllable and parametrizable. -
Translocation of Lipid-Linked Oligosaccharides Across the ER
letters to nature 30. James, P., Halladay, J. & Craig, E. A. Genomic libraries and a host strain designed for highly ef®cient transporters in addition to a fatty-acid transporter have been two-hybrid selection in yeast. Genetics 144, 1425±1436 (1996). implicated in lipid translocation at the plasma membrane; however, Supplementary Information accompanies the paper on Nature's website translocators involved in membrane biogenesis have yet to be (http://www.nature.com). identi®ed5,6. One of the most striking examples of lipid ¯ipping is the translocation of the Man5GlcNAc2-PP-Dol intermediate from Acknowledgements the cytosolic side of the ER membrane to the lumen before the 7,8 We acknowledge C. R. Bezzina for genetic analysis of A1924T, C. A. Conrath for completion of the biosynthesis of Glc3Man9GlcNAc2-PP-Dol subcloning A1924T, and A. George for critique. H.L.T. was supported by a fellowship from (Fig. 1). In this case, a very large and polar oligosaccharide the Royal Netherlands Academy of Arts and Sciences. Additional ®nancial support was provided by the Interuniversity Cardiology Institute Netherlands project 27 (H.L.T. and moiety must be translocated across the hydrophobic interior of A.A.M.W.), the Dutch Heart Foundation NHS (A.A.M.W.), and National Institutes of the bilayer. Health grants (M.E.A. and J.R.B.). There are two lines of evidence suggesting that Man5GlcNAc2-PP- Dol is the intermediate that is translocated across the ER Competing interests statement membrane7. The ®rst is based on monosaccharide donors. Bio- The authors declare that they have no competing ®nancial interests.