| Chapter title |
Bioinformatics Tools for Exploring the SUMO Gene Network
|
|---|---|
| Chapter number | 23 |
| Book title |
Plant Proteostasis
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-3759-2_23 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3757-8, 978-1-4939-3759-2
|
| Authors |
Pedro Humberto Castro, Miguel Ângelo Santos, Alexandre Papadopoulos Magalhães, Rui Manuel Tavares, Herlânder Azevedo |
| Editors |
L. Maria Lois, Rune Matthiesen |
| Abstract |
Plant sumoylation research has seen significant advances in recent years, particularly since high-throughput proteomics strategies have enabled the discovery of hundreds of potential SUMO targets and interactors of SUMO pathway components. In the present chapter, we introduce the SUMO Gene Network (SGN), 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 bioinformatics 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. |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 22% |
| Other | 1 | 11% |
| Student > Doctoral Student | 1 | 11% |
| Professor | 1 | 11% |
| Student > Bachelor | 1 | 11% |
| Other | 2 | 22% |
| Unknown | 1 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 89% |
| Unknown | 1 | 11% |