| Literature DB >> 30684219 |
Mohammad Hassan Baig1, Iliyas Rashid2, Prachi Srivastava2, Khurshid Ahmad1, Arif Tasleem Jan3, Gulam Rabbani1, Dukhwan Choi1, George E Barreto4,5, Ghulam Md Ashraf6, Eun Ju Lee7, Inho Choi8.
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.Entities:
Keywords: Ageing; Database; Genes; Myogenesis; Neurodegenerative disorders; Neuromuscular dystrophies; Skeletal muscle
Mesh:
Year: 2019 PMID: 30684219 DOI: 10.1007/s12035-019-1478-5
Source DB: PubMed Journal: Mol Neurobiol ISSN: 0893-7648 Impact factor: 5.590