Literature DB >> 19389548

Microarrays in glycoproteomics research.

Tingting Yue1, Brian B Haab.   

Abstract

Microarrays have been extremely useful for investigating binding interactions among diverse types of molecular species, with the main advantage being the ability to examine many interactions using small amounts of samples and reagents. Microarrays are increasingly being used to advance research in the field of glycobiology. Several types of microarrays are being used in the study of glycans and proteins in glycobiology, including glycan arrays to study the recognition of carbohydrates, lectin arrays to determine carbohydrate expression on purified proteins or on cells, and antibody arrays to examine the variation in particular glycan structures on specific proteins. This article covers the technology and applications of these types of microarrays, and their use for obtaining complementary information on various aspects of glycobiology.

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Year:  2009        PMID: 19389548      PMCID: PMC3690656          DOI: 10.1016/j.cll.2009.01.001

Source DB:  PubMed          Journal:  Clin Lab Med        ISSN: 0272-2712            Impact factor:   1.935


  64 in total

1.  Application of lectin microarray to crude samples: differential glycan profiling of lec mutants.

Authors:  Youji Ebe; Atsushi Kuno; Noboru Uchiyama; Shiori Koseki-Kuno; Masao Yamada; Takashi Sato; Hisashi Narimatsu; Jun Hirabayashi
Journal:  J Biochem       Date:  2006-03       Impact factor: 3.387

2.  Carbohydrate microarray for profiling the antibodies interacting with Globo H tumor antigen.

Authors:  Cheng-Yuan Huang; Desiree A Thayer; Aileen Y Chang; Michael D Best; Julia Hoffmann; Steve Head; Chi-Huey Wong
Journal:  Proc Natl Acad Sci U S A       Date:  2005-12-22       Impact factor: 11.205

3.  Antibody microarray profiling reveals individual and combined serum proteins associated with pancreatic cancer.

Authors:  Randal Orchekowski; Darren Hamelinck; Lin Li; Ewa Gliwa; Matt vanBrocklin; Jorge A Marrero; George F Vande Woude; Ziding Feng; Randall Brand; Brian B Haab
Journal:  Cancer Res       Date:  2005-12-01       Impact factor: 12.701

4.  Glycan microarray analysis of the hemagglutinins from modern and pandemic influenza viruses reveals different receptor specificities.

Authors:  James Stevens; Ola Blixt; Laurel Glaser; Jeffery K Taubenberger; Peter Palese; James C Paulson; Ian A Wilson
Journal:  J Mol Biol       Date:  2005-11-18       Impact factor: 5.469

5.  Carbohydrate array analysis of anti-Tn antibodies and lectins reveals unexpected specificities: implications for diagnostic and vaccine development.

Authors:  Joseph C Manimala; Zhitao Li; Amit Jain; Sharanjeet VedBrat; Jeffrey C Gildersleeve
Journal:  Chembiochem       Date:  2005-12       Impact factor: 3.164

6.  Evanescent-field fluorescence-assisted lectin microarray: a new strategy for glycan profiling.

Authors:  Atsushi Kuno; Noboru Uchiyama; Shiori Koseki-Kuno; Youji Ebe; Seigo Takashima; Masao Yamada; Jun Hirabayashi
Journal:  Nat Methods       Date:  2005-11       Impact factor: 28.547

7.  Fucosylated haptoglobin is a novel marker for pancreatic cancer: a detailed analysis of the oligosaccharide structure and a possible mechanism for fucosylation.

Authors:  Noriko Okuyama; Yoshihito Ide; Miyako Nakano; Tsutomu Nakagawa; Kanako Yamanaka; Kenta Moriwaki; Kohei Murata; Hiroaki Ohigashi; Shigekazu Yokoyama; Hidetoshi Eguchi; Osamu Ishikawa; Toshifumi Ito; Michio Kato; Akinori Kasahara; Sunao Kawano; Jianguo Gu; Naoyuki Taniguchi; Eiji Miyoshi
Journal:  Int J Cancer       Date:  2006-06-01       Impact factor: 7.396

Review 8.  The sweet and sour of cancer: glycans as novel therapeutic targets.

Authors:  Mark M Fuster; Jeffrey D Esko
Journal:  Nat Rev Cancer       Date:  2005-07       Impact factor: 60.716

9.  Analyzing the dynamic bacterial glycome with a lectin microarray approach.

Authors:  Ku-Lung Hsu; Kanoelani T Pilobello; Lara K Mahal
Journal:  Nat Chem Biol       Date:  2006-02-05       Impact factor: 15.040

10.  Distinctive serum protein profiles involving abundant proteins in lung cancer patients based upon antibody microarray analysis.

Authors:  Wei-Min Gao; Rork Kuick; Randal P Orchekowski; David E Misek; Ji Qiu; Alissa K Greenberg; William N Rom; Dean E Brenner; Gilbert S Omenn; Brian B Haab; Samir M Hanash
Journal:  BMC Cancer       Date:  2005-08-23       Impact factor: 4.430

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  15 in total

1.  Identification of blood-protein carriers of the CA 19-9 antigen and characterization of prevalence in pancreatic diseases.

Authors:  Tingting Yue; Katie Partyka; Kevin A Maupin; Mary Hurley; Philip Andrews; Karen Kaul; A James Moser; Herbert Zeh; Randall E Brand; Brian B Haab
Journal:  Proteomics       Date:  2011-08-02       Impact factor: 3.984

Review 2.  Glycoprotein disease markers and single protein-omics.

Authors:  Kevin Chandler; Radoslav Goldman
Journal:  Mol Cell Proteomics       Date:  2013-02-11       Impact factor: 5.911

3.  Diverse monoclonal antibodies against the CA 19-9 antigen show variation in binding specificity with consequences for clinical interpretation.

Authors:  Katie Partyka; Kevin A Maupin; Randall E Brand; Brian B Haab
Journal:  Proteomics       Date:  2012-07       Impact factor: 3.984

4.  Comparison of surgical and endoscopic sample collection for pancreatic cyst fluid biomarker identification.

Authors:  Katie Partyka; Mitchell McDonald; Kevin A Maupin; Randall Brand; Richard Kwon; Diane M Simeone; Peter Allen; Brian B Haab
Journal:  J Proteome Res       Date:  2012-04-04       Impact factor: 4.466

5.  Exploring the specificities of glycan-binding proteins using glycan array data and the GlycoSearch software.

Authors:  Doron Kletter; Bryan Curnutte; Kevin A Maupin; Marshall Bern; Brian B Haab
Journal:  Methods Mol Biol       Date:  2015

6.  Determining lectin specificity from glycan array data using motif segregation and GlycoSearch software.

Authors:  Doron Kletter; Zheng Cao; Marshall Bern; Brian Haab
Journal:  Curr Protoc Chem Biol       Date:  2013

7.  The fine specificity of mannose-binding and galactose-binding lectins revealed using outlier motif analysis of glycan array data.

Authors:  Kevin A Maupin; Daniel Liden; Brian B Haab
Journal:  Glycobiology       Date:  2011-08-29       Impact factor: 4.313

8.  High-throughput studies of protein glycoforms using antibody-lectin sandwich arrays.

Authors:  Brian B Haab; Tingting Yue
Journal:  Methods Mol Biol       Date:  2011

Review 9.  Bioinformatics and molecular modeling in glycobiology.

Authors:  Martin Frank; Siegfried Schloissnig
Journal:  Cell Mol Life Sci       Date:  2010-04-04       Impact factor: 9.261

10.  Global comparisons of lectin-glycan interactions using a database of analyzed glycan array data.

Authors:  Doron Kletter; Sudhir Singh; Marshall Bern; Brian B Haab
Journal:  Mol Cell Proteomics       Date:  2013-02-11       Impact factor: 5.911

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