LM-GlycomeAtlas Ver. 2.0: An Integrated Visualization for Lectin Microarray-based Mouse Tissue Glycome Mapping Data with Lectin Histochemistry.
Chiaki Nagai-OkataniXia ZouNoriaki FujitaIsami SogabeKouiti ArakawaMisugi NagaiKiyohiko AngataYan ZhangKiyoko F Aoki-KinoshitaAtsushi KunoPublished in: Journal of proteome research (2021)
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.
Keyphrases
- high resolution
- electronic health record
- deep learning
- big data
- optical coherence tomography
- gene expression
- high fat diet induced
- mass spectrometry
- systematic review
- data analysis
- insulin resistance
- adipose tissue
- minimally invasive
- high throughput
- social media
- high density
- artificial intelligence
- psychometric properties
- flow cytometry
- small molecule
- tandem mass spectrometry
- wild type