Back to Search Start Over

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

Authors :
Chiaki Nagai-Okatani
Kiyoko F Aoki-Kinoshita
Shuichi Kakuda
Misugi Nagai
Kozue Hagiwara
Katsue Kiyohara
Noriaki Fujita
Yoshinori Suzuki
Takashi Sato
Kiyohiko Angata
Atsushi Kuno
Source :
Molecules, Vol 24, Iss 16, p 2962 (2019)
Publication Year :
2019
Publisher :
MDPI AG, 2019.

Abstract

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.

Details

Language :
English
ISSN :
14203049
Volume :
24
Issue :
16
Database :
Directory of Open Access Journals
Journal :
Molecules
Publication Type :
Academic Journal
Accession number :
edsdoj.3445adf5ed2741daa1e0a30b893f7646
Document Type :
article
Full Text :
https://doi.org/10.3390/molecules24162962