NeuroMuscleDB: a Database of Genes Associated with Muscle Development, Neuromuscular Diseases, Ageing, and Neurodegeneration
Skeletal muscle is a highly complex, heterogeneous tissue that serves a multitude of biological functions in living organisms. With the advent of methods, such as microarrays, transcriptome analysis, and proteomics, studies have been performed at the genome level to gain insight of changes in the expression profiles of genes during different stages of muscle development and of associated diseases. In the present study, a database was conceived for the straightforward retrieval of information on genes involved in skeletal muscle formation, neuromuscular diseases (NMDs), ageing, and neurodegenerative disorders (NDs). The resulting database named NeuroMuscleDB (http://yu-mbl-muscledb.com/NeuroMuscleDB) is the result of a wide literature survey, database searches, and data curation. NeuroMuscleDB contains information of genes in Homo sapiens, Mus musculus, and Bos Taurus, and their promoter sequences and specified roles at different stages of muscle development and in associated myopathies. The database contains information on ~ 1102 genes, 6030 mRNAs, and 5687 proteins, and embedded analytical tools that can be used to perform tasks related to gene sequence usage. The authors believe NeuroMuscleDB provides a platform for obtaining desired information on genes related to myogenesis and their associations with various diseases (NMDs, ageing, and NDs). NeuroMuscleDB is freely available on the web at http://yu-mbl-muscledb.com/NeuroMuscleDB and supports all major browsers.
KeywordsDatabase Genes Myogenesis Skeletal muscle Ageing Neuromuscular dystrophies Neurodegenerative disorders
IC conceived the idea; IR and MHB programmed for data manipulation, developed database, and application modules for browsing and analyzing the information; MHB, EJL, GR, and DC collected the data; and IC, ATJ, EJL, PS, GEB, and GMA helped compile the biological aspects of the database. IC, ATJ, GEB, GMA, MHB, IR, PS, and KA drafted the manuscript.
This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (#2016R1C1B1011478) and by the Creative Economy Leading Technology Development Program through the Gyeongsangbuk-Do and Gyeongbuk Science and Technology Promotion Center of Korea (#SF316001A).
Compliance with Ethical Standards
Conflict of Interest
The authors declare that they have no conflict of interest.
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