Format

Send to

Choose Destination
Proteomics Clin Appl. 2013 Oct;7(9-10):632-41. doi: 10.1002/prca.201300069. Epub 2013 Sep 13.

Prediction of glycan motifs using quantitative analysis of multi-lectin binding: Motifs on MUC1 produced by cultured pancreatic cancer cells.

Author information

1
Van Andel Research Institute, Grand Rapids, MI 49503, USA.
2
Palo Alto Research Center, Palo Alto, CA, USA.
3
Van Andel Research Institute, Grand Rapids, MI, USA.
4
Genetics Program, Michigan State University, East Lansing MI, USA.

Abstract

PURPOSE:

Lectins are valuable tools for detecting specific glycans in biological samples, but the interpretation of the measurements can be ambiguous due to the complexities of lectin specificities. Here, we present an approach to improve the accuracy of interpretation by converting lectin measurements into quantitative predictions of the presence of various glycan motifs.

EXPERIMENTAL DESIGN:

The conversion relies on a database of analyzed glycan array data that provides information on the specificities of the lectins for each of the motifs. We tested the method using measurements of lectin binding to glycans on glycan arrays and then applied the method to predicting motifs on the protein mucin 1 (MUC1) expressed in eight different pancreatic cancer cell lines.

RESULTS:

The combined measurements from several lectins were more accurate than individual measurements for predicting the presence or absence of motifs on arrayed glycans. The analysis of MUC1 revealed that each cell line expressed a unique pattern of glycoforms, and that the glycoforms significantly differed between MUC1 collected from conditioned media and MUC1 collected from cell lysates.

CONCLUSIONS AND CLINICAL RELEVANCE:

This new method could provide more accurate analyses of glycans in biological sample and make the use of lectins more practical and effective for a broad range of researchers.

KEYWORDS:

Glycan motif; Glycoforms; Lectins

PMID:
23956151
PMCID:
PMC3929537
DOI:
10.1002/prca.201300069
[Indexed for MEDLINE]
Free PMC Article

Supplemental Content

Full text links

Icon for Wiley Icon for PubMed Central
Loading ...
Support Center