LM-GlycoRepo Version 1.0: A Novel Repository System for Mouse Tissue Glycome Mapping Data

Lectin microarray (LMA) is a high-sensitive profiling method of protein glycosylation. The increasing use of this method in many studies has led to a growing demand for a repository system that meets the FAIR data principles (Findable, Accessible, Interoperable, and Reusable). Herein, we present a novel repository system, "LM-GlycoRepo," for lectin-based multimodal (LM) data, including LMA data, in accordance with the international guideline MIRAGE (Minimum Information Required for a Glycomics Experiment). As a first step in our efforts to provide a general repository for storing various types of LM data, LM-GlycoRepo Version 1.0 is specialized for mouse tissue glycome mapping data obtained using standardized laser microdissection (LMD)-assisted LMA procedures. This system allows users to deposit data sets containing LMD images, LMA data, and high-resolution lectin staining images as LM data. In addition, this repository adopted an "embargo" system that allows users to specify the release date of data sets, allowing compatibility with an article peer review system. Notably, after the release date, the deposited data were visualized using an existing web tool called LM-GlycomeAtlas. LM-GlycoRepo will evolve into a comprehensive tool for LM data for various biospecimens, including human samples. LM-GlycoRepo is freely available at the GlyCosmos portal (https://lm-glycorepo.glycosmos.org/lm_glycorepo/).

Authors

Institutions

Publication Details

Journal
Journal of Proteome Research
Published
2025-06-11
DOI
https://doi.org/10.1021/acs.jproteome.5c00184
Citations
2
Primary Topic
Advanced Proteomics Techniques and Applications
Type
article
Field-Weighted Citation Impact
1.51

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

LM-GlycoRepo Version 1.0: A Novel Repository System for Mouse Tissue Glycome Mapping Data

Kiyohiko Angata, Masaaki Shiota, Noriaki Fujita, Daisuke Shinmachi et al.
2 citations
Journal of Proteome Research
Advanced Proteomics Techniques and Applications
1.51
article

LM-GlycoRepo Version 1.0: A Novel Repository System for Mouse Tissue Glycome Mapping Data

Kiyohiko Angata, Masaaki Shiota, Noriaki Fujita, Daisuke Shinmachi, Kiyoko F. Aoki‐Kinoshita, Chiaki Nagai‐Okatani, Patcharaporn Boottanun, Atsushi Kuno, Miyuki Tanaka
article en
2 citations

Abstract

Lectin microarray (LMA) is a high-sensitive profiling method of protein glycosylation. The increasing use of this method in many studies has led to a growing demand for a repository system that meets the FAIR data principles (Findable, Accessible, Interoperable, and Reusable). Herein, we present a novel repository system, "LM-GlycoRepo," for lectin-based multimodal (LM) data, including LMA data, in accordance with the international guideline MIRAGE (Minimum Information Required for a Glycomics Experiment). As a first step in our efforts to provide a general repository for storing various types of LM data, LM-GlycoRepo Version 1.0 is specialized for mouse tissue glycome mapping data obtained using standardized laser microdissection (LMD)-assisted LMA procedures. This system allows users to deposit data sets containing LMD images, LMA data, and high-resolution lectin staining images as LM data. In addition, this repository adopted an "embargo" system that allows users to specify the release date of data sets, allowing compatibility with an article peer review system. Notably, after the release date, the deposited data were visualized using an existing web tool called LM-GlycomeAtlas. LM-GlycoRepo will evolve into a comprehensive tool for LM data for various biospecimens, including human samples. LM-GlycoRepo is freely available at the GlyCosmos portal (https://lm-glycorepo.glycosmos.org/lm_glycorepo/).

Journal of Proteome ResearchVol. 24(7)
Soka University (JP), National Institute of Advanced Industrial Science and Technology (JP)
Ministry of Education, Culture, Sports, Science and Technology, Japan Science and Technology Agency, National Bioscience Database Center
Openalex Percentile: Top 18%
Advanced Proteomics Techniques and Applications
1.51
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.