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Role of non-coding RNAs in non-aging-related neurological disorders

Overview of attention for article published in Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas, January 2018
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Title
Role of non-coding RNAs in non-aging-related neurological disorders
Published in
Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas, January 2018
DOI 10.1590/1414-431x20187566
Pubmed ID
Authors

A.S. Vieira, D.B. Dogini, I. Lopes-Cendes

Abstract

Protein coding sequences represent only 2% of the human genome. Recent advances have demonstrated that a significant portion of the genome is actively transcribed as non-coding RNA molecules. These non-coding RNAs are emerging as key players in the regulation of biological processes, and act as "fine-tuners" of gene expression. Neurological disorders are caused by a wide range of genetic mutations, epigenetic and environmental factors, and the exact pathophysiology of many of these conditions is still unknown. It is currently recognized that dysregulations in the expression of non-coding RNAs are present in many neurological disorders and may be relevant in the mechanisms leading to disease. In addition, circulating non-coding RNAs are emerging as potential biomarkers with great potential impact in clinical practice. In this review, we discuss mainly the role of microRNAs and long non-coding RNAs in several neurological disorders, such as epilepsy, Huntington disease, fragile X-associated ataxia, spinocerebellar ataxias, amyotrophic lateral sclerosis (ALS), and pain. In addition, we give information about the conditions where microRNAs have demonstrated to be potential biomarkers such as in epilepsy, pain, and ALS.

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Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 17%
Student > Ph. D. Student 11 17%
Researcher 7 11%
Student > Bachelor 6 10%
Student > Doctoral Student 3 5%
Other 7 11%
Unknown 18 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 15 24%
Neuroscience 14 22%
Agricultural and Biological Sciences 7 11%
Unspecified 2 3%
Medicine and Dentistry 2 3%
Other 4 6%
Unknown 19 30%