Understanding the glycome: an interactive view of glycosylation from glycocompositions to glycoepitopes

被引:19
作者
Alocci, Davide [1 ,2 ]
Ghraichy, Marie [1 ,3 ]
Barletta, Elena [1 ,2 ]
Gastaldello, Alessandra [1 ,2 ]
Mariethoz, Julien [1 ,2 ]
Lisacek, Frederique [1 ,2 ,4 ]
机构
[1] SIB, Proteome Informat Grp, 7 Route Drize, CH-1227 Geneva, Switzerland
[2] Univ Geneva, Comp Sci Dept CUI, 7 Route Drize, CH-1227 Geneva, Switzerland
[3] Univ Childrens Hosp Zurich, Div Immunol, Zurich, Switzerland
[4] Univ Geneva, Biol Sect, Geneva, Switzerland
关键词
glycan profile; glycoepitope/web tool; glycoinformatics; visualization; CHROMATOGRAPHY-MASS SPECTROMETRY; LIQUID-CHROMATOGRAPHY; OVARIAN-CANCER; RELATIVE QUANTITATION; CELL-LINES; STEM-CELLS; N-GLYCANS; TOOL; IDENTIFICATION; EXPRESSION;
D O I
10.1093/glycob/cwy019
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Nowadays, due to the advance of experimental techniques in glycomics, large collections of glycan profiles are regularly published. The rapid growth of available glycan data accentuates the lack of innovative tools for visualizing and exploring large amount of information. Scientists resort to using general-purpose spreadsheet applications to create ad hoc data visualization. Thus, results end up being encoded in publication images and text, while valuable curated data is stored in files as supplementary information. To tackle this problem, we have built an interactive pipeline composed with three tools: Glynsight, EpitopeXtractor and Glydin'. Glycan profile data can be imported in Glynsight, which generates a custom interactive glycan profile. Several profiles can be compared and glycan composition is integrated with structural data stored in databases. Glycan structures of interest can then be sent to EpitopeXtractor to perform a glycoepitope extraction. EpitopeXtractor results can be superimposed on the Glydin' glycoepitope network. The network visualization allows fast detection of clusters of glycoepitopes and discovery of potential new targets. Each of these tools is standalone or can be used in conjunction with the others, depending on the data and the specific interest of the user. All the tools composing this pipeline are part of the Glycomics@ExPASy initiative and are available at https://www.expasy.org/glycomics.
引用
收藏
页码:349 / 362
页数:14
相关论文
共 50 条
[1]   Focused glycomic analysis of the N-linked glycan biosynthetic pathway in ovarian cancer [J].
Abbott, Karen L. ;
Nairn, Alison V. ;
Hall, Erica M. ;
Horton, Marc B. ;
McDonald, John F. ;
Moremen, Kelley W. ;
Dinulescu, Daniela M. ;
Pierce, Michael .
PROTEOMICS, 2008, 8 (16) :3210-3220
[2]   Sample handling of gastric tissue and O-glycan alterations in paired gastric cancer and non-tumorigenic tissues [J].
Adamczyk, Barbara ;
Jin, Chunsheng ;
Polom, Karol ;
Munoz, Pedro ;
Rojas-Macias, Miguel A. ;
Zeeberg, David ;
Boren, Mats ;
Roviello, Franco ;
Karlsson, Niclas G. .
SCIENTIFIC REPORTS, 2018, 8
[3]   Glycans as cancer biomarkers [J].
Adamczyk, Barbara ;
Tharmalingam, Tharmala ;
Rudd, Pauline M. .
BIOCHIMICA ET BIOPHYSICA ACTA-GENERAL SUBJECTS, 2012, 1820 (09) :1347-1353
[4]   GlycoPattern: a web platform for glycan array mining [J].
Agravat, Sanjay B. ;
Saltz, Joel H. ;
Cummings, Richard D. ;
Smith, David F. .
BIOINFORMATICS, 2014, 30 (23) :3417-3418
[5]   Property Graph vs RDF Triple Store: A Comparison on Glycan Substructure Search [J].
Alocci, Davide ;
Mariethoz, Julien ;
Horlacher, Oliver ;
Bolleman, Jerven T. ;
Campbell, Matthew P. ;
Lisacek, Frederique .
PLOS ONE, 2015, 10 (12)
[6]  
[Anonymous], 2008, EXPT GLYCOSCIENCE, DOI DOI 10.1007/978-4-431-77922-3_104
[7]   Specific Glycosylation of Membrane Proteins in Epithelial Ovarian Cancer Cell Lines: Glycan Structures Reflect Gene Expression and DNA Methylation Status [J].
Anugraham, Merrina ;
Jacob, Francis ;
Nixdorf, Sheri ;
Everest-Dass, Arun Vijay ;
Heinzelmann-Schwarz, Viola ;
Packer, Nicolle H. .
MOLECULAR & CELLULAR PROTEOMICS, 2014, 13 (09) :2213-2232
[8]  
BENARD J, 1985, CANCER RES, V45, P4970
[9]   Meta-Analysis of Microarray Data Identifies GAS6 Expression as an Independent Predictor of Poor Survival in Ovarian Cancer [J].
Buehler, Michelle ;
Tse, Brian ;
Leboucq, Alix ;
Jacob, Francis ;
Caduff, Rosmarie ;
Fink, Daniel ;
Goldstein, Darlene R. ;
Heinzelmann-Schwarz, Viola .
BIOMED RESEARCH INTERNATIONAL, 2013, 2013
[10]   Toolboxes for a standardised and systematic study of glycans [J].
Campbell, Matthew P. ;
Ranzinger, Rene ;
Luetteke, Thomas ;
Mariethoz, Julien ;
Hayes, Catherine A. ;
Zhang, Jingyu ;
Akune, Yukie ;
Aoki-Kinoshita, Kiyoko F. ;
Damerell, David ;
Carta, Giorgio ;
York, Will S. ;
Haslam, Stuart M. ;
Narimatsu, Hisashi ;
Rudd, Pauline M. ;
Karlsson, Niclas G. ;
Packer, Nicolle H. ;
Lisacek, Frederique .
BMC BIOINFORMATICS, 2014, 15