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A standardized method for lectin microarray-based tissue glycome mapping

delete2017-03-06
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OA
AI
X
Xia Zou
M
Maki Yoshida
C
Chiaki Nagai‐Okatani
J
Jun Iwaki
A
Atsushi Matsuda
B
Binbin Tan
K
Kozue Hagiwara
T
Takashi Sato
Y
Yoko Itakura
E
Erika Noro
H
Hiroyuki Kaji
M
Masashi Toyoda
张
张岩 (Yan Zhang)
N
Narimatsu, Hisashi
A
Atsushi Kuno *
DOI:10.1038/srep43560delete
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摘要

摘要

En 中文
of glycans are observed in many diseases, including cancer. Therefore, glycomic profiling of the whole body (glycome mapping) under different physiopathological states may contribute to the discovery of reliable biomarkers with disease-specific alterations. To achieve this, standardization of high-throughput and in-depth analysis of tissue glycome mapping is needed. However, this is a great challenge due to the lack of analytical methodology for glycans on small amounts of endogenous glycoproteins. Here, we established a standardized method of lectin-assisted tissue glycome mapping. Formalin-fixed, paraffin-embedded tissue sections were prepared from brain, liver, kidney, spleen, and testis of two C57BL/6J mice. In total, 190 size-adjusted fragments with different morphology were serially collected from each tissue by laser microdissection and subjected to lectin microarray analysis. The results and subsequent histochemical analysis with selected lectins were highly consistent with previous reports of mass spectrometry-based N-and/or O-glycome analyses and histochemistry. This is the first report to look at both N- and O-glycome profiles of various regions within tissue sections of five different organs. This simple and reproducible mapping approach is also applicable to various disease model mice to facilitate disease-related biomarker discovery.
Keyword:
IMAGING MASS-SPECTROMETRY
N-LINKED GLYCANS
FUNCTIONAL GLYCOMICS
EMBEDDED TISSUE
GLYCOSYLATION
CANCER
EXPRESSION
IDENTIFICATION
TECHNOLOGY
BIOMARKER
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期刊

Scientific Reports 封面图
Scientific Reports
IF:
3.9
论文数:
28.3W
被引数:
83.5W

机构

S
shanghai jiao tong university
学者数:
15.7W
论文数: 11.7W
被引数: 159
T
Tokyo Metropolitan Institute of Gerontology
学者数:
1.6K
论文数: 1.5K
被引数: 1.2K
引用论文

引用论文

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