Evidence map›Paper›PMID 30684219›Full record

ArticleMolecular neurobiology2019

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

Mohammad Hassan Baig, Iliyas Rashid, Prachi Srivastava, Khurshid Ahmad, Arif Tasleem Jan, Gulam Rabbani, Dukhwan Choi, George E Barreto, Ghulam Md Ashraf, Eun Ju Lee and 1 more

Abstract read
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In one paragraph

Article in Molecular neurobiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.7field-weighted citation impact, top 32% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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  7. Review
  8. MuscleAtlasExplorer: a web service for studying gene expression in human skeletal muscle.Database : the journal of biological databases and curation · 2020
    Article
  9. Article
  10. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 5 countries.

Mohammad Hassan BaigDepartment of Medical Biotechnology, Yeungnam University, Gyeongsan, 38541, Republic of Korea.
Iliyas RashidAmity Institute of Biotechnology, Amity University, Lucknow, Uttar Pradesh, 226 028, India.
Prachi SrivastavaAmity Institute of Biotechnology, Amity University, Lucknow, Uttar Pradesh, 226 028, India.
Khurshid AhmadDepartment of Medical Biotechnology, Yeungnam University, Gyeongsan, 38541, Republic of Korea.
Arif Tasleem JanSchool of Biosciences and Biotechnology, Baba Ghulam Shah Badshah University, Rajouri, 185236, India.
Gulam RabbaniDepartment of Medical Biotechnology, Yeungnam University, Gyeongsan, 38541, Republic of Korea.
Dukhwan ChoiDepartment of Medical Biotechnology, Yeungnam University, Gyeongsan, 38541, Republic of Korea.
George E BarretoDepartamento de Nutrición y Bioquímica, Facultad de Ciencias, Pontificia Universidad Javeriana, Bogotá D.C., Colombia.
Ghulam Md AshrafKing Fahd Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia.
Eun Ju LeeDepartment of Medical Biotechnology, Yeungnam University, Gyeongsan, 38541, Republic of Korea. gorapadoc0315@hanmail.net.
Inho ChoiDepartment of Medical Biotechnology, Yeungnam University, Gyeongsan, 38541, Republic of Korea. inhochoi@ynu.ac.kr.
Yeungnam University · KRBaba Ghulam Shah Badshah University · INKing Abdulaziz University · SAUniversidad Autónoma de Chile · CL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Databases, GeneticAgingAnimalsBase SequenceCattleHumansMiceMuscle DevelopmentNeuromuscular DiseasesAgeingDatabaseGenesMyogenesisNeurodegenerative disordersNeuromuscular dystrophiesSkeletal muscle

Identifiers

PMID30684219
OpenAlexW2911743994

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.