| Title |
Different effects of omega-3 fatty acids on the cell cycle in C2C12 myoblast proliferation
|
|---|---|
| Published in |
Molecular and Cellular Biochemistry, May 2012
|
| DOI | 10.1007/s11010-012-1329-4 |
| Pubmed ID | |
| Authors |
Yunqian Peng, Yu Zheng, Yunsheng Zhang, Jie Zhao, Fei Chang, Tianyu Lu, Ran Zhang, Qiuyan Li, Xiaoxiang Hu, Ning Li |
| Abstract |
Polyunsaturated fatty acids (PUFAs) are important molecules for human health. We investigated the effects of three major omega-3 PUFAs on C2C12 myoblast proliferation. Both docosahexaenoic (DHA) and eicosapentaenoic (EPA) acids decreased cell growth, whereas linolenic (ALA) acid did not, compared with the control. Cell cycle analysis showed that G(1) phase duration was increased markedly and S-phase duration was decreased by DHA and EPA. In contrast, there was no change in the G(1) or S-phase duration when the cells were treated with linolenic acid. To determine how DHA and EPA affected the cell cycle, cyclins and MAPK proteins were investigated. Western blotting and real-time quantitative PCR showed that DHA and EPA decreased cyclin E and CDK2 levels at both the protein and mRNA level. Also, MAPK phosphorylation levels were decreased by treatment with DHA and EPA. Our results indicated that different kinds of n-3 PUFA differentially affected myoblast cell proliferation. DHA and EPA decreased skeletal muscle cell proliferation through a mechanism involving MAPK-ERK. |
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 Kingdom | 1 | 50% |
| Norway | 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 4% |
| France | 1 | 4% |
| Unknown | 26 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 21% |
| Student > Bachelor | 5 | 18% |
| Student > Ph. D. Student | 4 | 14% |
| Student > Master | 2 | 7% |
| Student > Doctoral Student | 1 | 4% |
| Other | 4 | 14% |
| Unknown | 6 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 21% |
| Agricultural and Biological Sciences | 6 | 21% |
| Medicine and Dentistry | 4 | 14% |
| Nursing and Health Professions | 3 | 11% |
| Immunology and Microbiology | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 7 | 25% |
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 30 May 2012.
All research outputs
#15,245,883
of 22,668,244 outputs
Outputs from Molecular and Cellular Biochemistry
#1,317
of 2,289 outputs
Outputs of similar age
#103,934
of 163,625 outputs
Outputs of similar age from Molecular and Cellular Biochemistry
#12
of 28 outputs
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