Nagai-Okatani, C.; Fujita, N.; Boottanun, P.; Tanaka, M.; Shiota, M.; Shinmachi, D.; Angata, K.; Aoki-Kinoshita, K.; Kuno, A.

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 datasets 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 datasets, 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 lectin-based multimodal data for various biospecimens, including human samples. LM-GlycoRepo is freely available at the GlyCosmos portal (https://lm-glycorepo.glycosmos.org/lm_glycorepo/).