LM-GlycomeAtlas Ver. 1.0: A Novel Visualization Tool for Lectin Microarray-Based Glycomic Profiles of Mouse Tissue Sections

• Published in: Molecules (Basel, Switzerland) Vol. 24; no. 16; p. 2962
• Main Authors: Nagai-Okatani, Chiaki, Aoki-Kinoshita, Kiyoko F, Kakuda, Shuichi, Nagai, Misugi, Hagiwara, Kozue, Kiyohara, Katsue, Fujita, Noriaki, Suzuki, Yoshinori, Sato, Takashi, Angata, Kiyohiko, Kuno, Atsushi
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 15.08.2019; MDPI
• Subjects: Animal tissues; Animals; Biomarkers; Colon; Datasets; Disease; formalin-fixed paraffin-embedded tissue section; Gallbladder; Glycan; Glycomics - methods; Glycoproteins; Glycosylation; Interfaces; Intestine; laser microdissection; lectin microarray; Lectins; Lectins - metabolism; Male; Mass spectrometry; Mass spectroscopy; Mice; Microdissection; mouse tissue glycome mapping; Organ Specificity; Pancreas; Paraffins; Principal components analysis; Protein Array Analysis - methods; Proteins; Small intestine; Software; User-Computer Interface; Visualization; formalin-fixed paraffin-embedded tissue section; laser microdissection; mouse tissue glycome mapping; lectin microarray
• ISSN: 1420-3049; 1420-3049
• DOI: 10.3390/molecules24162962

For the effective discovery of the biological roles and disease-specific alterations concerning protein glycosylation in tissue samples, it is important to know beforehand the quantitative and qualitative variations of glycan structures expressed in various types of cells, sites, and tissues. To this end, we used laser microdissection-assisted lectin microarray (LMA) to establish a simple and reproducible method for high-throughput and in-depth glycomic profiling of formalin-fixed paraffin-embedded tissue sections. Using this "tissue glycome mapping" approach, we present 234 glycomic profiling data obtained from nine tissue sections (pancreas, heart, lung, thymus, gallbladder, stomach, small intestine, colon, and skin) of two 8-week-old male C57BL/6J mice. We provided this LMA-based dataset in the similar interface as that of GlycomeAtlas, a previously developed tool for mass spectrometry-based tissue glycomic profiling, allowing easy comparison of the two types of data. This online tool, called "LM-GlycomeAtlas", allows users to visualize the LMA-based tissue glycomic profiling data associated with the sample information as an atlas. Since the present dataset allows the comparison of glycomic profiles, it will facilitate the evaluation of site- and tissue-specific glycosylation patterns. Taking advantage of its extensibility, this tool will continue to be updated with the expansion of deposited data.