| Title |
E3 Ubiquitin Ligases in Protein Quality Control Mechanism
|
|---|---|
| Published in |
Molecular Neurobiology, May 2012
|
| DOI | 10.1007/s12035-012-8273-x |
| Pubmed ID | |
| Authors |
Deepak Chhangani, Ajay Prakash Joshi, Amit Mishra |
| Abstract |
In living cells, polypeptide chains emerging from ribosomes and preexisting polypeptide chains face constant threat of misfolding and aggregation. To prevent protein aggregation and to fulfill their biological activity, generally, protein must fold into its proper three-dimensional structure throughout their lifetimes. Eukaryotic cell possesses a quality control (QC) system to contend the problem of protein misfolding and aggregation. Cells achieve this functional QC system with the help of molecular chaperones and ubiquitin-proteasome system (UPS). The well-conserved UPS regulates the stability of various proteins and maintains all essential cellular function through intracellular protein degradation. E3 ubiquitin ligase enzyme determines specificity for degradation of certain substrates via UPS. New emerging evidences have provided considerable information that various E3 ubiquitin ligases play a major role in cellular QC mechanism and principally designated as QC E3 ubiquitin ligases. Nevertheless, very little is known about how E3 ubiquitin ligase maintains QC mechanism against abnormal proteins under various stress conditions. Here in this review, we highlight and discuss the functions of various E3 ubiquitin ligases implicated in protein QC mechanism. Improving our knowledge about such processes may provide opportunities to modulate protein QC mechanism in age-of-onset diseases that are caused by protein aggregation. |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| India | 1 | 1% |
| Czechia | 1 | 1% |
| Unknown | 74 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 29% |
| Researcher | 14 | 18% |
| Student > Master | 10 | 13% |
| Professor > Associate Professor | 5 | 6% |
| Student > Bachelor | 5 | 6% |
| Other | 12 | 16% |
| Unknown | 9 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 38 | 49% |
| Biochemistry, Genetics and Molecular Biology | 15 | 19% |
| Neuroscience | 3 | 4% |
| Medicine and Dentistry | 2 | 3% |
| Psychology | 2 | 3% |
| Other | 5 | 6% |
| Unknown | 12 | 16% |
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 10 July 2012.
All research outputs
#20,160,460
of 22,669,724 outputs
Outputs from Molecular Neurobiology
#2,771
of 3,427 outputs
Outputs of similar age
#148,339
of 164,162 outputs
Outputs of similar age from Molecular Neurobiology
#13
of 14 outputs
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