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Related Experiment Video

Updated: Mar 17, 2026

In Vitro SUMOylation Assay to Study SUMO E3 Ligase Activity

In Vitro SUMOylation Assay to Study SUMO E3 Ligase Activity

Published on: January 29, 2018

Bioinformatics Tools for Exploring the SUMO Gene Network.

Pedro Humberto Castro¹, Miguel Ângelo Santos^1,2, Alexandre Papadopoulos Magalhães^1,2

¹Biosystems and Integrative Sciences Institute (BioISI), Plant Functional Biology Center, University of Minho, Campus de Gualtar, 4710-057, Braga, Portugal.

Methods in Molecular Biology (Clifton, N.J.)

|July 19, 2016

Summary

Plant sumoylation research has advanced with new discoveries of SUMO targets. We introduce the SUMO Gene Network (SGN) for Arabidopsis thaliana, aiding in data interpretation and bioinformatics analysis for future research.

Keywords:

Arabidopsis Bioinformatics Data mining Functional categorization Gene expression Gene network Post-translational modification Small ubiquitin-related modifier (SUMO)

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Area of Science:

Plant molecular biology
Genomics
Proteomics

Background:

Recent advances in plant sumoylation research have identified numerous SUMO targets and pathway components.
High-throughput proteomics has been crucial for these discoveries.

Purpose of the Study:

To introduce the SUMO Gene Network (SGN), a curated database of Arabidopsis thaliana genes involved in sumoylation.
To provide a tutorial for interpreting sumoylation datasets and utilizing bioinformatics tools.

Main Methods:

Curating a network of Arabidopsis thaliana genes functionally associated with sumoylation.
Developing a tutorial for data interpretation and management.
Detailing bioinformatics tools for in silico hypothesis generation, including site prediction, comparative genomics, and gene network analysis.

Main Results:

The SUMO Gene Network (SGN) is established, integrating SUMO pathway components, targets, and interactors.
Bioinformatics tools are presented for advanced analysis of sumoylation data.

Conclusions:

The SGN facilitates comprehensive understanding and analysis of plant sumoylation.
In silico tools empower researchers to generate novel hypotheses in plant sumoylation research.