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Mol Neurobiol. 2019 Jan 25. doi: 10.1007/s12035-019-1478-5. [Epub ahead of print]

NeuroMuscleDB: a Database of Genes Associated with Muscle Development, Neuromuscular Diseases, Ageing, and Neurodegeneration.

Author information

1
Department of Medical Biotechnology, Yeungnam University, Gyeongsan, 38541, Republic of Korea.
2
Amity Institute of Biotechnology, Amity University, Lucknow, Uttar Pradesh, 226 028, India.
3
School of Biosciences and Biotechnology, Baba Ghulam Shah Badshah University, Rajouri, 185236, India.
4
Departamento de Nutrición y Bioquímica, Facultad de Ciencias, Pontificia Universidad Javeriana, Bogotá D.C., Colombia.
5
Instituto de Ciencias Biomédicas, Universidad Autónoma de Chile, Santiago, Chile.
6
King Fahd Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia.
7
Department of Medical Biotechnology, Yeungnam University, Gyeongsan, 38541, Republic of Korea. gorapadoc0315@hanmail.net.
8
Department of Medical Biotechnology, Yeungnam University, Gyeongsan, 38541, Republic of Korea. inhochoi@ynu.ac.kr.

Abstract

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.

KEYWORDS:

Ageing; Database; Genes; Myogenesis; Neurodegenerative disorders; Neuromuscular dystrophies; Skeletal muscle

PMID:
30684219
DOI:
10.1007/s12035-019-1478-5

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