| Title |
Protein quality control of cell stemness
|
|---|---|
| Published in |
Cell Regeneration, November 2020
|
| DOI | 10.1186/s13619-020-00064-2 |
| Pubmed ID | |
| Authors |
Pengze Yan, Jie Ren, Weiqi Zhang, Jing Qu, Guang-Hui Liu |
| Abstract |
Protein quality control (PQC) systems play essential roles in the recognition, refolding and clearance of aberrant proteins, thus ensuring cellular protein homeostasis, or proteostasis. Especially, continued proliferation and differentiation of stem cells require a high rate of translation; therefore, accurate PQC systems are essential to maintain stem cell function. Growing evidence suggested crucial roles of PQC systems in regulating the stemness and differentiation of stem cells. This review focuses on current knowledge regarding the components of the proteostasis network in stem cells, and the importance of proteostasis in maintaining stem cell identity and regenerative functions. A complete understanding of this process might uncover potential applications in aging intervention and aging-related diseases. |
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 % |
|---|---|---|
| China | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 19% |
| Researcher | 4 | 13% |
| Student > Bachelor | 3 | 10% |
| Student > Master | 1 | 3% |
| Professor | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 16 | 52% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 9 | 29% |
| Chemistry | 2 | 6% |
| Agricultural and Biological Sciences | 2 | 6% |
| Nursing and Health Professions | 1 | 3% |
| Physics and Astronomy | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 15 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 21 May 2021.
All research outputs
#14,522,577
of 23,262,131 outputs
Outputs from Cell Regeneration
#70
of 158 outputs
Outputs of similar age
#226,290
of 415,391 outputs
Outputs of similar age from Cell Regeneration
#2
of 7 outputs
Altmetric has tracked 23,262,131 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 158 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 48th percentile – i.e., 48% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 415,391 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.