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LM-GlycomeAtlas 版本 2.0:基于凝集素微阵列的小鼠组织糖组图谱与凝集素组织化学的集成可视化。

LM-GlycomeAtlas Ver. 2.0: An Integrated Visualization for Lectin Microarray-based Mouse Tissue Glycome Mapping Data with Lectin Histochemistry.

机构信息

Molecular and Cellular Glycoproteomics Research Group, Cellular and Molecular Biotechnology Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1 Higashi, Tsukuba, Ibaraki 305-8565, Japan.

Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai 200240, China.

出版信息

J Proteome Res. 2021 Apr 2;20(4):2069-2075. doi: 10.1021/acs.jproteome.0c00907. Epub 2021 Mar 4.

Abstract

Laser microdissection-assisted lectin microarray has been used to obtain quantitative and qualitative information on glycans on proteins expressed in microscopic regions of formalin-fixed paraffin-embedded tissue sections. For the effective visualization of this "tissue glycome mapping" data, a novel online tool, LM-GlycomeAtlas (https://glycosmos.org/lm_glycomeatlas/index), was launched in the freely available glycoscience portal, the GlyCosmos Portal (https://glycosmos.org). In LM-GlycomeAtlas Version 1.0, nine tissues from normal mice were used to provide one data set of glycomic profiles. Here we introduce an updated version of LM-GlycomeAtlas, which includes more spatial information. We designed it to deposit multiple data sets of glycomic profiles with high-resolution histological images, which included staining images with multiple lectins on the array. The additionally implemented interfaces allow users to display multiple histological images of interest (e.g., diseased and normal mice), thereby facilitating the evaluation of tissue glycomic profiling and glyco-pathological analysis. Using these updated interfaces, 451 glycomic profiling data and 42 histological images obtained from 14 tissues of normal and diseased mice were successfully visualized. By easy integration with other tools for glycoproteomic data and protein glycosylation machinery, LM-GlycomeAtlas will be one of the most valuable open resources that contribute to both glycoscience and proteomics communities.

摘要

激光显微切割辅助凝集素微阵列已被用于获取福尔马林固定石蜡包埋组织切片的微观区域中表达的蛋白质上糖的定量和定性信息。为了有效地可视化这种“组织糖组图谱”数据,一个名为 LM-GlycomeAtlas(https://glycosmos.org/lm_glycomeatlas/index)的新型在线工具在免费提供的糖科学门户 Glycosmos Portal(https://glycosmos.org)上发布。在 LM-GlycomeAtlas Version 1.0 中,使用来自正常小鼠的九种组织提供了一组糖组图谱数据。在这里,我们介绍了 LM-GlycomeAtlas 的更新版本,其中包含更多的空间信息。我们设计它是为了存储具有高分辨率组织学图像的多个糖组图谱数据集,其中包括在阵列上用多种凝集素进行染色的图像。另外实现的界面允许用户显示多个感兴趣的组织学图像(例如,患病和正常小鼠),从而便于评估组织糖组图谱和糖病理分析。使用这些更新的界面,成功地可视化了来自正常和患病小鼠的 14 种组织的 451 个糖组图谱数据和 42 个组织学图像。通过与糖蛋白组学数据和蛋白质糖基化机制的其他工具的轻松集成,LM-GlycomeAtlas 将成为对糖科学和蛋白质组学社区最有价值的开放资源之一。

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