Literature DB >> 29186316

A review of databases predicting the effects of SNPs in miRNA genes or miRNA-binding sites.

Tobias Fehlmann1, Shashwat Sahay1, Andreas Keller1, Christina Backes1.   

Abstract

Modern precision medicine comprises the knowledge and understanding of individual differences in the genomic sequence of patients to provide tailor-made treatments. Regularly, such variants are considered in coding regions only, and their effects are predicted based on their impact on the amino acid sequence of expressed proteins. However, assessing the effects of variants in noncoding elements, in particular microRNAs (miRNAs) and their binding sites, is important as well, as a single miRNA can influence the expression patterns of many genes at the same time. To analyze the effects of variants in miRNAs and their target sites, several databases storing variant impact predictions have been published. In this review, we will compare the core functionalities and features of these databases and discuss the importance of up-to-date data resources in the context of web applications. Finally, we will outline some recommendations for future developments in the field.
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Entities:  

Keywords:  SNPs; databases; miRNAs; target sites

Mesh:

Substances:

Year:  2019        PMID: 29186316     DOI: 10.1093/bib/bbx155

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  7 in total

1.  MicroRNA Databases and Tools.

Authors:  Tharcísio Soares de Amorim; Daniel Longhi Fernandes Pedro; Alexandre Rossi Paschoal
Journal:  Methods Mol Biol       Date:  2022

Review 2.  Disease-associated human genetic variation through the lens of precursor and mature RNA structure.

Authors:  Justin M Waldern; Jayashree Kumar; Alain Laederach
Journal:  Hum Genet       Date:  2021-11-06       Impact factor: 5.881

3.  HumiR: Web Services, Tools and Databases for Exploring Human microRNA Data.

Authors:  Jeffrey Solomon; Fabian Kern; Tobias Fehlmann; Eckart Meese; Andreas Keller
Journal:  Biomolecules       Date:  2020-11-20

4.  Identification and Validation of Ferroptosis-Related Biomarkers in Septic Cardiomyopathy via Bioinformatics Analysis.

Authors:  Cheng-Wu Gong; Ming-Ming Yuan; Bai-Quan Qiu; Li-Jun Wang; Hua-Xi Zou; Tie Hu; Song-Qing Lai; Ji-Chun Liu
Journal:  Front Genet       Date:  2022-04-13       Impact factor: 4.772

5.  The Analysis of SNPs' Function in miR-21 and miR146a/b in Multiple Sclerosis and Active Lesions: An In Silico Study.

Authors:  Mahta Moraghebi; Ahmad Agha Negahi; Homa Bazireh; Hossein Abbasi; Mohsen Ahmadi; Zohreh Sarikhani; Pegah Mousavi
Journal:  Bioinform Biol Insights       Date:  2022-08-04

6.  miRNet 2.0: network-based visual analytics for miRNA functional analysis and systems biology.

Authors:  Le Chang; Guangyan Zhou; Othman Soufan; Jianguo Xia
Journal:  Nucleic Acids Res       Date:  2020-07-02       Impact factor: 16.971

7.  miRNASNP-v3: a comprehensive database for SNPs and disease-related variations in miRNAs and miRNA targets.

Authors:  Chun-Jie Liu; Xin Fu; Mengxuan Xia; Qiong Zhang; Zhifeng Gu; An-Yuan Guo
Journal:  Nucleic Acids Res       Date:  2021-01-08       Impact factor: 16.971

  7 in total

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