Correlation Engine 2.0
Clear Search sequence regions


  • and disease (1)
  • formalin (4)
  • glycan (1)
  • glycoproteins (2)
  • lectin (11)
  • ligands (1)
  • paraffin (5)
  • Sizes of these terms reflect their relevance to your search.

    Lectin microarray (LMA) is a high-sensitive glycan analysis technology used to obtain global glycomic profiles of both N- and O-glycans attached not only to purified glycoproteins but also to crude glycoprotein samples. Through additional use of laser microdissection (LMD) for tissue collection, we developed an LMA-based glycomic profiling technique for a specific type of cells in a tiny area of formalin-fixed paraffin-embedded (FFPE) tissue sections. This LMD-LMA method makes it possible to obtain reproducible tissue glycomic profiles that can be compared with each other, using a unified protocol for all procedures, including FFPE tissue preparation, tissue staining, protein extraction and labeling, and LMA analysis. Here, we describe the standardized LMD-LMA procedure for a "tissue glycome mapping" approach, which facilitates an in-depth understanding of region- and tissue-specific protein glycosylation. We also describe potential applications of the spatial tissue glycomic profiles, including histochemical analysis for evaluating distribution of lectin ligands and a fluorescence LMD-LMA method for cell type-selective glycomic profiling using a cell type-specific probe, composed of a lectin and an antibody. The protocols presented here will accelerate the effective utilization of FFPE tissue specimens by providing tissue glycome maps for the discovery of the biological roles and disease-related alterations of protein glycosylation. © 2022. Springer Science+Business Media, LLC, part of Springer Nature.

    Citation

    Chiaki Nagai-Okatani, Xia Zou, Atsushi Matsuda, Yoko Itakura, Masashi Toyoda, Yan Zhang, Atsushi Kuno. Tissue Glycome Mapping: Lectin Microarray-Based Differential Glycomic Analysis of Formalin-Fixed Paraffin-Embedded Tissue Sections. Methods in molecular biology (Clifton, N.J.). 2022;2460:161-180

    Expand section icon Mesh Tags

    Expand section icon Substances


    PMID: 34972936

    View Full Text