Multiplex glycan bead array for high throughput and high content analyses of glycan binding proteins

Sharad Purohit, Tiehai Li, Wanyi Guan, Xuezheng Song, Jing Song, Yanna Tian, Lei Li, Ashok Sharma, Boying Dun, David Mysona, Sharad Ghamande, Bunja Rungruang, Richard D. Cummings, Peng George Wang and Jin-Xiong She ()
Additional contact information
Sharad Purohit: Medical College of Georgia, Augusta University
Tiehai Li: Georgia State University
Wanyi Guan: Georgia State University
Xuezheng Song: Emory University School of Medicine
Jing Song: Georgia State University
Yanna Tian: Medical College of Georgia, Augusta University
Lei Li: Georgia State University
Ashok Sharma: Medical College of Georgia, Augusta University
Boying Dun: Medical College of Georgia, Augusta University
David Mysona: Medical College of Georgia, Augusta University
Sharad Ghamande: Medical College of Georgia, Augusta University
Bunja Rungruang: Medical College of Georgia, Augusta University
Richard D. Cummings: Harvard Medical School
Peng George Wang: Georgia State University
Jin-Xiong She: Medical College of Georgia, Augusta University

Nature Communications, 2018, vol. 9, issue 1, 1-12

Abstract: Abstract Glycan-binding proteins (GBPs) play critical roles in diverse cellular functions such as cell adhesion, signal transduction and immune response. Studies of the interaction between GBPs and glycans have been hampered by the availability of high throughput and high-content technologies. Here we report multiplex glycan bead array (MGBA) that allows simultaneous analyses of 384 samples and up to 500 glycans in a single assay. The specificity, sensitivity and reproducibility of MGBA are evaluated using 39 plant lectins, 13 recombinant anti-glycan antibodies, and mammalian GBPs. We demonstrate the utility of this platform by the analyses of natural anti-glycan IgM and IgG antibodies in 961 human serum samples and the discovery of anti-glycan antibody biomarkers for ovarian cancer. Our data indicate that the MGBA platform is particularly suited for large population-based studies that require the analyses of large numbers of samples and glycans.

Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.nature.com/articles/s41467-017-02747-y Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-017-02747-y

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-017-02747-y

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().