| Title |
Potential coordination role between O-GlcNAcylation and epigenetics
|
|---|---|
| Published in |
Protein & Cell, May 2017
|
| DOI | 10.1007/s13238-017-0416-4 |
| Pubmed ID | |
| Authors |
Donglu Wu, Yong Cai, Jingji Jin |
| Abstract |
Dynamic changes of the post-translational O-GlcNAc modification (O-GlcNAcylation) are controlled by O-linked β-N-acetylglucosamine (O-GlcNAc) transferase (OGT) and the glycoside hydrolase O-GlcNAcase (OGA) in cells. O-GlcNAcylation often occurs on serine (Ser) and threonine (Thr) residues of the specific substrate proteins via the addition of O-GlcNAc group by OGT. It has been known that O-GlcNAcylation is not only involved in many fundamental cellular processes, but also plays an important role in cancer development through various mechanisms. Recently, accumulating data reveal that O-GlcNAcylation at histones or non-histone proteins can lead to the start of the subsequent biological processes, suggesting that O-GlcNAcylation as 'protein code' or 'histone code' may provide recognition platforms or executive instructions for subsequent recruitment of proteins to carry out the specific functions. In this review, we summarize the interaction of O-GlcNAcylation and epigenetic changes, introduce recent research findings that link crosstalk between O-GlcNAcylation and epigenetic changes, and speculate on the potential coordination role of O-GlcNAcylation with epigenetic changes in intracellular biological processes. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 76 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 21% |
| Student > Master | 16 | 21% |
| Researcher | 11 | 14% |
| Student > Bachelor | 7 | 9% |
| Student > Doctoral Student | 3 | 4% |
| Other | 2 | 3% |
| Unknown | 21 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 26 | 34% |
| Agricultural and Biological Sciences | 11 | 14% |
| Chemistry | 7 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 4% |
| Medicine and Dentistry | 3 | 4% |
| Other | 2 | 3% |
| Unknown | 24 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 May 2017.
All research outputs
#18,547,867
of 22,971,207 outputs
Outputs from Protein & Cell
#559
of 741 outputs
Outputs of similar age
#236,730
of 310,718 outputs
Outputs of similar age from Protein & Cell
#23
of 28 outputs
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