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

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 thi...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6719194/
https://www.ncbi.nlm.nih.gov/pubmed/31443278
http://dx.doi.org/10.3390/molecules24162962
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author 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
author_facet 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
author_sort Nagai-Okatani, Chiaki
collection PubMed
description 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.
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spelling pubmed-67191942019-09-10 LM-GlycomeAtlas Ver. 1.0: A Novel Visualization Tool for Lectin Microarray-Based Glycomic Profiles of Mouse Tissue Sections 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 Molecules Article 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. MDPI 2019-08-15 /pmc/articles/PMC6719194/ /pubmed/31443278 http://dx.doi.org/10.3390/molecules24162962 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
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
LM-GlycomeAtlas Ver. 1.0: A Novel Visualization Tool for Lectin Microarray-Based Glycomic Profiles of Mouse Tissue Sections
title LM-GlycomeAtlas Ver. 1.0: A Novel Visualization Tool for Lectin Microarray-Based Glycomic Profiles of Mouse Tissue Sections
title_full LM-GlycomeAtlas Ver. 1.0: A Novel Visualization Tool for Lectin Microarray-Based Glycomic Profiles of Mouse Tissue Sections
title_fullStr LM-GlycomeAtlas Ver. 1.0: A Novel Visualization Tool for Lectin Microarray-Based Glycomic Profiles of Mouse Tissue Sections
title_full_unstemmed LM-GlycomeAtlas Ver. 1.0: A Novel Visualization Tool for Lectin Microarray-Based Glycomic Profiles of Mouse Tissue Sections
title_short LM-GlycomeAtlas Ver. 1.0: A Novel Visualization Tool for Lectin Microarray-Based Glycomic Profiles of Mouse Tissue Sections
title_sort lm-glycomeatlas ver. 1.0: a novel visualization tool for lectin microarray-based glycomic profiles of mouse tissue sections
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6719194/
https://www.ncbi.nlm.nih.gov/pubmed/31443278
http://dx.doi.org/10.3390/molecules24162962
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