| Title |
Genomic Profiling of Messenger RNAs and MicroRNAs Reveals Potential Mechanisms of TWEAK-Induced Skeletal Muscle Wasting in Mice
|
|---|---|
| Published in |
PLOS ONE, January 2010
|
| DOI | 10.1371/journal.pone.0008760 |
| Pubmed ID | |
| Authors |
Siva K. Panguluri, Shephali Bhatnagar, Akhilesh Kumar, John J. McCarthy, Apurva K. Srivastava, Nigel G. Cooper, Robert F. Lundy, Ashok Kumar |
| Abstract |
Skeletal muscle wasting is a devastating complication of several physiological and pathophysiological conditions. Inflammatory cytokines play an important role in the loss of skeletal muscle mass in various chronic diseases. We have recently reported that proinflammatory cytokine TWEAK is a major muscle-wasting cytokine. Emerging evidence suggests that gene expression is regulated not only at transcriptional level but also at post-transcriptional level through the expression of specific non-coding microRNAs (miRs) which can affect the stability and/or translation of target mRNA. However, the role of miRs in skeletal muscle wasting is unknown. |
X Demographics
The data shown below were collected from the profiles of 5 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 | 3 | 60% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 40% |
| Scientists | 2 | 40% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 5% |
| Brazil | 2 | 2% |
| Norway | 1 | 1% |
| Denmark | 1 | 1% |
| Unknown | 80 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 23% |
| Student > Master | 10 | 11% |
| Student > Ph. D. Student | 9 | 10% |
| Student > Bachelor | 9 | 10% |
| Professor > Associate Professor | 9 | 10% |
| Other | 16 | 18% |
| Unknown | 15 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 34 | 39% |
| Medicine and Dentistry | 16 | 18% |
| Biochemistry, Genetics and Molecular Biology | 12 | 14% |
| Sports and Recreations | 2 | 2% |
| Unspecified | 1 | 1% |
| Other | 4 | 5% |
| Unknown | 19 | 22% |