| Literature DB >> 29021212 |
Yanfang Yang1, Yu He1, Xixi Wang1, Ziwei Liang1, Gu He1, Peng Zhang2, Hongxia Zhu3, Ningzhi Xu1,3, Shufang Liang4.
Abstract
SUMOylation, as a post-translational modification, plays essential roles in various biological functions including cell growth, migration, cellular responses to stress and tumorigenesis. The imbalance of SUMOylation and deSUMOylation has been associated with the occurrence and progression of various diseases. Herein, we summarize and discuss the signal crosstalk between SUMOylation and ubiquitination of proteins, protein SUMOylation relations with several diseases, and the identification approaches for SUMOylation site. With the continuous development of bioinformatics and mass spectrometry, several accurate and high-throughput methods have been implemented to explore small ubiquitin-like modifier-modified substrates and sites, which is helpful for deciphering protein SUMOylation-mediated molecular mechanisms of disease.Entities:
Keywords: SUMO pathway; SUMOylation; deSUMOylation; disease
Mesh:
Substances:
Year: 2017 PMID: 29021212 PMCID: PMC5666083 DOI: 10.1098/rsob.170167
Source DB: PubMed Journal: Open Biol ISSN: 2046-2441 Impact factor: 6.411
Figure 1.Biochemical process of SUMO modifications in mammal cells. All small ubiquitin-like modifier (SUMO) paralogues are synthesized as pre-proteins that are first cleaved by a SENP to expose a carboxy-terminal diglycine (GG) motif (maturation). An ATP-requiring activation step by the heterodimeric E1activating enzyme (including SAE1 and SAE2) then generates a SUMO–SAE2 thioester. SUMO is then transferred to the E2 conjugating enzyme Ubc9, again forming a thioester. This last step usually requires a SUMO E3 ligase to bring about an isopeptide bond between the SUMO C-terminus and a lysine within the target protein.
Figure 2.Relationship of SUMO-modified proteins with different diseases, along with some examples of representative proteins and SUMO pathway members.
The members of SUMO pathway in mammal cells.
| members of SUMO pathway | |
|---|---|
| SUMO | SUMO-1,-2,-3,-4 |
| activating enzyme E1 | SAE1,SAE2 |
| conjugating enzyme E2 | Ubc9 |
| ligase E3 | RanBP2;PIAS1,-2,-3,-4;Pc2 and etc. |
| SUMO protease | SENP-1,-2,-3,-4,-5,-6,-7 |
Figure 3.Several methods to identify SUMOylation site. SUMO modification sites are predicted using bioinformatics software analysis. The prediction site is verified using the following methods. (a) The SUMOylation site is analysed through site-directed mutagenesis and Co-IP. (b) SUMO modification site is identified by mass spectrometry.
The methods of predicting SUMO modification sites. GPS, group-based prediction system; MotifX, statistical phosphorylation sites prediction method; PSSM, position-specific scoring matrix; SVMa, support vector machines; MS, mass spectrometry. WEKA, Waikato environment of knowledge analysis.
| bioinformatic tools | characteristic | year | website | free or not free | refs |
|---|---|---|---|---|---|
| SUMO | including SUMO | 2006 | free | [ | |
| SUMO | a commercially available SUMOylation site predictor | 2006 | free | [ | |
| SUMO | using a probabilistic model for prediction | 2008 | unknown | [ | |
| F | based on PSSM | 2008 | not free | [ | |
| SUM | based on the sequence information | 2008 | free | [ | |
| SUMO | using structure and sequence information | 2010 | unknown | [ | |
| S | using the domain-specific knowledge in terms of relevant biological features for input vector encoding | 2011 | unknown | [ | |
| SUMO | based on hydrophobic properties | 2012 | free | [ | |
| SUMO | using random forest-based classifier provided in WEKA | 2013 | unknown | [ |