Plant sumoylation research has seen significant advances in recent years, particularly since high-throughput proteomic strategies have enabled the discovery of more than one thousand SUMO targets. In the present chapter, we update the previously reported SUMO (small ubiquitin-related modifier) gene network (SGN) to its v4 iteration. SGN is a curated assembly of Arabidopsis thaliana genes that have been functionally associated with sumoylation, from SUMO pathway components to targets and interactors. The enclosed tutorial helps interpret and manage these datasets and details bioinformatic tools that can be used for in silico-based hypothesis generation. The latter include tools for sumoylation site prediction, comparative genomics, and gene network analysis.
Keywords: Arabidopsis; Bioinformatics; Data mining; Functional categorization; Gene expression; Gene network; Posttranslational modification; Small ubiquitin-related modifier (SUMO).
© 2023. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.