title: Prediction of glycan motifs using quantitative analysis of multi-lectin binding: Motifs on MUC1 produced by cultured pancreatic cancer cells.
abstract: OBJECTIVE
  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.
  
  
  METHODS
  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
  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.
authors: Van Andel Research Institute, Grand Rapids, MI  49503, USA.
authors: Calvin
authors: C
authors: McCarter
authors: Palo Alto Research Center, Palo Alto, CA, USA.
authors: Doron
authors: D
authors: Kletter
authors: Van Andel Research Institute, Grand Rapids, MI, USA.
authors: Huiyuan
authors: H
authors: Tang
authors: Van Andel Research Institute, Grand Rapids, MI, USA.
authors: Katie
authors: K
authors: Partyka
authors: Van Andel Research Institute, Grand Rapids, MI, USA.|Genetics Program, Michigan State University, East Lansing MI, USA.
authors: Yinjiao
authors: Y
authors: Ma
authors: Van Andel Research Institute, Grand Rapids, MI, USA.
authors: Sudhir
authors: S
authors: Singh
authors: Van Andel Research Institute, Grand Rapids, MI, USA.
authors: Jessica
authors: J
authors: Yadav
authors: Palo Alto Research Center, Palo Alto, CA, USA.
authors: Marshall
authors: M
authors: Bern
authors: Van Andel Research Institute, Grand Rapids, MI, USA.
authors: Brian B
authors: BB
authors: Haab
mesh_terms: D045744:Cell Line, Tumor; D006801:Humans; D037102:Lectins / Q000378:metabolism*; D046228:Microarray Analysis / Q000379:methods*; D018396:Mucin-1 / Q000096:biosynthesis* / Q000378:metabolism; D010190:Pancreatic Neoplasms / Q000473:pathology*; D011134:Polysaccharides / Q000737:chemistry* / Q000378:metabolism*; D011485:Protein Binding
chemical_list: D037102:Lectins; D018396:Mucin-1; D011134:Polysaccharides
keywords: Glycan motif; Glycoforms; Lectins
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