| Chapter title |
Biochemical and Mass Spectrometry-Based Approaches to Profile SUMOylation in Human Cells
|
|---|---|
| Chapter number | 10 |
| Book title |
Activity-Based Proteomics
|
| Published in |
Methods in molecular biology, January 2017
|
| DOI | 10.1007/978-1-4939-6439-0_10 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6437-6, 978-1-4939-6439-0
|
| Authors |
Benedikt M. Kessler, Sara Bursomanno, Joanna F. McGouran, Ian D. Hickson, Ying Liu, Kessler, Benedikt M., Bursomanno, Sara, McGouran, Joanna F., Hickson, Ian D., Liu, Ying |
| Abstract |
Posttranslational modification of proteins with the small ubiquitin-like modifier (SUMO) regulates protein function in the context of cell cycle and DNA repair. The occurrence of SUMOylation is less frequent as compared to protein modification with ubiquitin, and appears to be controlled by a smaller pool of conjugating and deconjugating enzymes. Mass spectrometry has been instrumental in defining specific as well as proteome-wide views of SUMO-dependent biological processes, and several methodological approaches have been developed in the recent past. Here, we provide an overview of the latest experimental approaches to the study of SUMOylation, and also describe hands-on protocols using a combination of biochemistry and mass spectrometry-based technologies to profile proteins that are SUMOylated in human cells. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 20% |
| Professor | 2 | 20% |
| Lecturer > Senior Lecturer | 1 | 10% |
| Student > Doctoral Student | 1 | 10% |
| Student > Master | 1 | 10% |
| Other | 1 | 10% |
| Unknown | 2 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 40% |
| Nursing and Health Professions | 1 | 10% |
| Agricultural and Biological Sciences | 1 | 10% |
| Medicine and Dentistry | 1 | 10% |
| Unknown | 3 | 30% |