| Title |
Molecular mechanisms of cardiomyopathy phenotypes associated with myosin light chain mutations
|
|---|---|
| Published in |
Journal of Muscle Research and Cell Motility, September 2015
|
| DOI | 10.1007/s10974-015-9423-3 |
| Pubmed ID | |
| Authors |
Wenrui Huang, Danuta Szczesna-Cordary |
| Abstract |
We discuss here the potential mechanisms of action associated with hypertrophic (HCM) or dilated (DCM) cardiomyopathy causing mutations in the myosin regulatory (RLC) and essential (ELC) light chains. Specifically, we focus on four HCM mutations: RLC-A13T, RLC-K104E, ELC-A57G and ELC-M173V, and one DCM RLC-D94A mutation shown by population studies to cause different cardiomyopathy phenotypes in humans. Our studies indicate that RLC and ELC mutations lead to heart disease through different mechanisms with RLC mutations triggering alterations of the secondary structure of the RLC which further affect the structure and function of the lever arm domain and impose changes in the cross bridge cycling rates and myosin force generation ability. The ELC mutations exert their detrimental effects through changes in the interaction of the N-terminus of ELC with actin altering the cross talk between the thick and thin filaments and ultimately resulting in an altered force-pCa relationship. We also discuss the effect of mutations on myosin light chain phosphorylation. Exogenous myosin light chain phosphorylation and/or pseudo-phosphorylation were explored as potential rescue tools to treat hypertrophy-related cardiac phenotypes. |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 27% |
| Student > Bachelor | 3 | 10% |
| Student > Master | 3 | 10% |
| Professor > Associate Professor | 3 | 10% |
| Professor | 2 | 7% |
| Other | 4 | 13% |
| Unknown | 7 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 9 | 30% |
| Medicine and Dentistry | 7 | 23% |
| Agricultural and Biological Sciences | 2 | 7% |
| Psychology | 1 | 3% |
| Neuroscience | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 9 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 31 August 2018.
All research outputs
#7,554,098
of 23,043,346 outputs
Outputs from Journal of Muscle Research and Cell Motility
#69
of 295 outputs
Outputs of similar age
#92,945
of 273,428 outputs
Outputs of similar age from Journal of Muscle Research and Cell Motility
#1
of 6 outputs
Altmetric has tracked 23,043,346 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 295 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 40th percentile – i.e., 40% of its peers scored the same or lower than it.
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We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them