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Omics Approaches to Understanding Skeletal Muscle Biology
This special issue belongs to the section “Bioinformatics and Systems Biology“.
Special Issue Information
Dear Colleagues,
Skeletal muscle is the most abundant tissue, accounting for 30–40% of body mass in adult humans and 35–60% of that in domesticated animals. It is well known that skeletal muscle development is an extremely complex regulatory process orchestrated by myogenic genes, transcription factors, and noncoding RNAs. However, the regulatory mechanisms of skeletal muscle biology at different levels, such as histone modification, RNA editing, splicing, and RNA methylation, still need to be explored. In past decades, we have witnessed the rapid development of high-throughput multi-omics technologies, which provides a powerful tool for understanding skeletal muscle biology. This Special Issue aims to integrate multi-omics data, such as genomics, transcriptomics, proteomics, and metabolomics, to construct interaction networks and deeply explore the regulatory mechanism of skeletal muscle development, regeneration, aging, diseases and other related areas. We welcome both experimental and bioinformatics studies proving mechanistic insights into skeletal muscle biology. Both original research and review papers are welcome.
Prof. Dr. Zhonglin Tang
Prof. Dr. Qinghua Nie
Guest Editors
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Biomolecules is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- Skeletal muscle
- Myogenesis
- Regulation network
- Gene expression
- Functional genomics
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