Literature DB >> 31945407

MicroRNAs expressed in neuronal differentiation and their associated pathways: Systematic review and bioinformatics analysis.

Roberta Giorgi Silveira1, Camila Perelló Ferrúa1, Cainá Corrêa do Amaral1, Tiago Fernandez Garcia1, Karoline Brizola de Souza1, Fernanda Nedel2.   

Abstract

MicroRNAs (miRNAs) plays an important role in the human brain from the embryonic period to adulthood. In this sense, they influence the development of neural stem cells (NSCs), regulating cellular differentiation and survival. Therefore, due to the importance of better comprehending the regulation of miRNAs in NSCs differentiation and the lack of studies that show the panorama of miRNAs and their signaling pathways studied until now we aimed to systematically review the literature to identify which miRNAs are currently being associated with neuronal differentiation and using bioinformatics analysis to identify their related pathways. A search was carried out in the following databases: Scientific Electronic Library Online (Scielo), National Library of Medicine National Institutes of Health (PubMed), Scopus, Web of Science and Science Direct, using the descriptors "(microRNA [MeSH])" and "(neurogenesis [MeSH])". From the articles found, two independent and previously calibrated reviewers, using the EndNote X7 (Thomson Reuters, New York, NY, US), selected those that concern miRNA in the development of NSCs, based on in vitro studies. After, bioinformatic analysis was performed using the software DIANA Tools, mirPath v.3. Subsequently, data was tabulated, analyzed and interpreted. Among the 106 miRNAs cited by included studies, 55 were up-regulated and 47 were down-regulated. The bioinformatics analysis revealed that among the up-regulated miRNAs there were 24 total and 6 union pathways, and 3 presented a statistically significant difference (p ≤ 0.05). Among the down-regulated miRNAs, 46 total and 13 union pathways were found, with 7 presenting a significant difference (p ≤ 0.05). The miR-125a-5p, miR-423-5p, miR-320 were the most frequently found miRNAs in the pathways determined by bioinformatics. In this study a panel of altered miRNAs in neuronal differentiation was created with their related pathways, which could be a step towards understanding the complex network of miRNAs in neuronal differentiation.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Bioinformatics; Neuronal; Neuronal differentiation; Signaling pathway; Systematic review; microRNA

Year:  2020        PMID: 31945407     DOI: 10.1016/j.brainresbull.2020.01.009

Source DB:  PubMed          Journal:  Brain Res Bull        ISSN: 0361-9230            Impact factor:   4.077


  7 in total

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Authors:  Linh Tran; Dao Ngoc Hien Tam; Abdelrahman Elshafay; Thao Dang; Kenji Hirayama; Nguyen Tien Huy
Journal:  BMC Med Res Methodol       Date:  2021-05-08       Impact factor: 4.615

2.  MiRNA-15b and miRNA-125b are associated with regional Aβ-PET and FDG-PET uptake in cognitively normal individuals with subjective memory complaints.

Authors:  Andrea Vergallo; Simone Lista; Yuhai Zhao; Pablo Lemercier; Stefan J Teipel; Marie-Claude Potier; Marie-Odile Habert; Bruno Dubois; Walter J Lukiw; Harald Hampel
Journal:  Transl Psychiatry       Date:  2021-01-27       Impact factor: 6.222

3.  Neuronally-enriched exosomal microRNA-27b mediates acute effects of ibuprofen on reward-related brain activity in healthy adults: a randomized, placebo-controlled, double-blind trial.

Authors:  Kaiping Burrows; Leandra K Figueroa-Hall; Rayus Kuplicki; Jennifer L Stewart; Ahlam M Alarbi; Rajagopal Ramesh; Jonathan B Savitz; T Kent Teague; Victoria B Risbrough; Martin P Paulus
Journal:  Sci Rep       Date:  2022-01-17       Impact factor: 4.379

4.  Altered White Matter and microRNA Expression in a Murine Model Related to Williams Syndrome Suggests That miR-34b/c Affects Brain Development via Ptpru and Dcx Modulation.

Authors:  Meitar Grad; Ariel Nir; Gilad Levy; Sari Schokoroy Trangle; Guy Shapira; Noam Shomron; Yaniv Assaf; Boaz Barak
Journal:  Cells       Date:  2022-01-04       Impact factor: 6.600

5.  Bioinformatics analysis of the potential regulatory mechanisms of renal fibrosis and the screening and identification of factors related to human renal fibrosis.

Authors:  Cixiao Wang; Shaobo Wu; Jiang Li; Yuexian Ma; Youqun Huang; Na Fang
Journal:  Transl Androl Urol       Date:  2022-06

6.  CircPSMC3 alleviates the symptoms of PCOS by sponging miR-296-3p and regulating PTEN expression.

Authors:  Jun Liu; Jinli Ding; Bing Qu; Jiuying Liu; Xiaojie Song; Qingli Suo; Aifen Zhou; Jing Yang
Journal:  J Cell Mol Med       Date:  2020-08-17       Impact factor: 5.295

Review 7.  microRNA-Based Biomarkers in Alzheimer's Disease (AD).

Authors:  Yuhai Zhao; Vivian Jaber; Peter N Alexandrov; Andrea Vergallo; Simone Lista; Harald Hampel; Walter J Lukiw
Journal:  Front Neurosci       Date:  2020-10-30       Impact factor: 4.677

  7 in total

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