Title |
The miR-206/133b cluster is dispensable for development, survival and regeneration of skeletal muscle
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Published in |
Skeletal Muscle, December 2014
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DOI | 10.1186/s13395-014-0023-5 |
Pubmed ID | |
Authors |
Thomas Boettger, Stas Wüst, Hendrik Nolte, Thomas Braun |
Abstract |
Three different gene clusters code for the muscle-specific miRNAs miR-206, miR-1 and miR-133a/b. The two miR-1/133a clusters generate identical mature miR-1 and miR-133a miRNAs in heart and skeletal muscle, while the cognate miR-206/133b cluster is exclusively expressed in skeletal muscle. Since sequences of the miRNAs miR-133a and miR-133b are almost identical, it seems likely that they share potential targets. Similarly, miR-1 and miR-206 are structurally related and contain identical seed sequences important for miRNA-target recognition. In the past, different functions of these miRNAs were suggested for development, function and regeneration of skeletal muscle using different in vivo and in vitro models; however, mutants lacking the complete miR-206/133b cluster, which generates a single pri-miRNA constituting a functional unit, have not been analyzed. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 43% |
Germany | 1 | 14% |
Unknown | 3 | 43% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 71% |
Scientists | 1 | 14% |
Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 2% |
United States | 1 | 2% |
Unknown | 60 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 16 | 26% |
Student > Ph. D. Student | 10 | 16% |
Student > Master | 8 | 13% |
Student > Bachelor | 5 | 8% |
Student > Postgraduate | 4 | 6% |
Other | 12 | 19% |
Unknown | 7 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 29 | 47% |
Biochemistry, Genetics and Molecular Biology | 13 | 21% |
Medicine and Dentistry | 4 | 6% |
Social Sciences | 2 | 3% |
Nursing and Health Professions | 1 | 2% |
Other | 5 | 8% |
Unknown | 8 | 13% |