Literature DB >> 30684219

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

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


  39 in total

Review 1.  Regulation of promyogenic signal transduction by cell-cell contact and adhesion.

Authors:  Robert S Krauss
Journal:  Exp Cell Res       Date:  2010-05-21       Impact factor: 3.905

2.  Is sequencing enlightenment ending the dark age of the transcriptome?

Authors:  Piero Carninci
Journal:  Nat Methods       Date:  2009-10       Impact factor: 28.547

3.  Clustal W and Clustal X version 2.0.

Authors:  M A Larkin; G Blackshields; N P Brown; R Chenna; P A McGettigan; H McWilliam; F Valentin; I M Wallace; A Wilm; R Lopez; J D Thompson; T J Gibson; D G Higgins
Journal:  Bioinformatics       Date:  2007-09-10       Impact factor: 6.937

4.  Using the Basic Local Alignment Search Tool (BLAST).

Authors:  David W Mount
Journal:  CSH Protoc       Date:  2007-07-01

Review 5.  Skeletal muscle development and regeneration.

Authors:  Sander Grefte; Anne Marie Kuijpers-Jagtman; Ruurd Torensma; Johannes W Von den Hoff
Journal:  Stem Cells Dev       Date:  2007-10       Impact factor: 3.272

6.  GenAge: a genomic and proteomic network map of human ageing.

Authors:  João Pedro de Magalhães; Olivier Toussaint
Journal:  FEBS Lett       Date:  2004-07-30       Impact factor: 4.124

Review 7.  RNA-Seq: a revolutionary tool for transcriptomics.

Authors:  Zhong Wang; Mark Gerstein; Michael Snyder
Journal:  Nat Rev Genet       Date:  2009-01       Impact factor: 53.242

Review 8.  Multiple mechanisms regulate muscle fiber diversity.

Authors:  P Gunning; E Hardeman
Journal:  FASEB J       Date:  1991-12       Impact factor: 5.191

9.  Online Mendelian Inheritance in Man (OMIM), a knowledgebase of human genes and genetic disorders.

Authors:  Ada Hamosh; Alan F Scott; Joanna S Amberger; Carol A Bocchini; Victor A McKusick
Journal:  Nucleic Acids Res       Date:  2005-01-01       Impact factor: 16.971

10.  HAGR: the Human Ageing Genomic Resources.

Authors:  João Pedro de Magalhães; Joana Costa; Olivier Toussaint
Journal:  Nucleic Acids Res       Date:  2005-01-01       Impact factor: 16.971

View more
  6 in total

1.  Dermatopontin in Skeletal Muscle Extracellular Matrix Regulates Myogenesis.

Authors:  Taeyeon Kim; Khurshid Ahmad; Sibhghatulla Shaikh; Arif Tasleem Jan; Myung-Gi Seo; Eun Ju Lee; Inho Choi
Journal:  Cells       Date:  2019-04-09       Impact factor: 6.600

2.  MyomirDB: A unified database and server platform for muscle atrophy myomiRs, coregulatory networks and regulons.

Authors:  Apoorv Gupta; Pankaj Khurana; Sukanya Srivastava; Geetha Suryakumar; Bhuvnesh Kumar
Journal:  Sci Rep       Date:  2020-05-25       Impact factor: 4.379

3.  MuscleAtlasExplorer: a web service for studying gene expression in human skeletal muscle.

Authors:  Olof Asplund; Johan Rung; Leif Groop; Rashmi Prasad B; Ola Hansson
Journal:  Database (Oxford)       Date:  2020-12-18       Impact factor: 3.451

Review 4.  The Increasing Impact of Translational Research in the Molecular Diagnostics of Neuromuscular Diseases.

Authors:  Dèlia Yubero; Daniel Natera-de Benito; Jordi Pijuan; Judith Armstrong; Loreto Martorell; Guerau Fernàndez; Joan Maynou; Cristina Jou; Mònica Roldan; Carlos Ortez; Andrés Nascimento; Janet Hoenicka; Francesc Palau
Journal:  Int J Mol Sci       Date:  2021-04-20       Impact factor: 5.923

Review 5.  Omics in a Digital World: The Role of Bioinformatics in Providing New Insights Into Human Aging.

Authors:  Serena Dato; Paolina Crocco; Nicola Rambaldi Migliore; Francesco Lescai
Journal:  Front Genet       Date:  2021-06-10       Impact factor: 4.599

Review 6.  Extracellular Matrix and the Production of Cultured Meat.

Authors:  Khurshid Ahmad; Jeong-Ho Lim; Eun-Ju Lee; Hee-Jin Chun; Shahid Ali; Syed Sayeed Ahmad; Sibhghatulla Shaikh; Inho Choi
Journal:  Foods       Date:  2021-12-15
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.