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MicroRNAs and Complex Disease: Prevention, Diagnosis, Treatment, and Mechanism
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MicroRNAs and Complex Disease: Prevention, Diagnosis, Treatment, and Mechanism

A special issue of Genes (ISSN 2073-4425). This special issue belongs to the section "Bioinformatics".

Deadline for manuscript submissions: closed (25 July 2023) | Viewed by 2642

Special Issue Editor

Prof. Dr. Qinghua Cui

grade E-Mail Website
Guest Editor
Department of Biomedical Informatics, Peking University, Beijing 100191, China
Interests: bioinformatics; noncoding RNAs; microRNAs; lncRNAs; network biology; network pharmacology

Special Issue Information

Dear Colleagues,

microRNAs (miRNAs) are small noncoding RNA molecules that mainly function as gene regulators at the posttranscriptional level. Increasing evidence has shown that miRNAs have critical roles in almost all important biological processes, and thus their dysfunction are associated with a large number of human diseases. Therefore, they show great potential in the prevention, diagnosis, treatment, and mechanisms of complex diseases. Although significant advances have been made, there are many challenges in investigating the roles of miRNAs in disease formation and development, disease prevention, diagnosis, and treatment.

In this Special Issue, we are inviting reviews, perspectives, and original research articles to address some of these challenges. Topics will include, but are not limited to, miRNA function, mechanisms, biomarkers, targets, disease treatment, computational biology and bioinformatics.

Prof. Dr. Qinghua Cui
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Genes is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • microRNA
  • complex disease
  • biomarker
  • drug target
  • disease prevention
  • disease diagnosis
  • disease treatment
  • bioinformatics
  • computational biology

Published Papers (2 papers)

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Research

14 pages, 3907 KiB  
Article
Identification and Analysis of Sex-Biased MicroRNAs in Human Diseases
by Bitao Zhong, Chunmei Cui and Qinghua Cui
Genes 2023, 14(9), 1688; https://doi.org/10.3390/genes14091688 - 25 Aug 2023
Cited by 1 | Viewed by 1051
Abstract
It is well known that significant differences exist between males and females in both physiology and disease. Thus, it is important to identify and analyze sex-biased miRNAs. However, previous studies investigating sex differences in miRNA expression have predominantly focused on healthy individuals or [...] Read more.
It is well known that significant differences exist between males and females in both physiology and disease. Thus, it is important to identify and analyze sex-biased miRNAs. However, previous studies investigating sex differences in miRNA expression have predominantly focused on healthy individuals or restricted their analysis to a single disease. Therefore, it is necessary to comprehensively identify and analyze the sex-biased miRNAs in diseases. For this purpose, in this study, we first identified the miRNAs showing sex-biased expression between males and females in diseases based on a number of miRNA expression datasets. Then, we performed a bioinformatics analysis for these sex-biased miRNAs. Notably, our findings revealed that women exhibit a greater number of conserved miRNAs that are highly expressed compared to men, and these miRNAs are implicated in a broader spectrum of diseases. Additionally, we explored the enriched transcription factors, functions, and diseases associated with these sex-biased miRNAs using the miRNA set enrichment analysis tool TAM 2.0. The insights gained from this study could carry implications for endeavors such as precision medicine and possibly pave the way for more targeted and tailored approaches to disease management. Full article
(This article belongs to the Special Issue MicroRNAs and Complex Disease: Prevention, Diagnosis, Treatment, and Mechanism)
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12 pages, 968 KiB  
Article
MicroRNA-Related Polymorphism and Their Association with Fibromyalgia
by Fabian Berg, Dirk A. Moser, Verena Hagena, Fabian Streit, Benjamin Mosch, Robert Kumsta, Stephan Herpertz and Martin Diers
Genes 2023, 14(7), 1312; https://doi.org/10.3390/genes14071312 - 21 Jun 2023
Viewed by 1296
Abstract
MicroRNAs are tissue-specific expressed short RNAs that serve post-transcriptional gene regulation. A specific microRNA can bind to mRNAs of different genes and thereby suppress their protein production. In the context of the complex phenotype of fibromyalgia, we used the Axiom miRNA Target Site [...] Read more.
MicroRNAs are tissue-specific expressed short RNAs that serve post-transcriptional gene regulation. A specific microRNA can bind to mRNAs of different genes and thereby suppress their protein production. In the context of the complex phenotype of fibromyalgia, we used the Axiom miRNA Target Site Genotyping Array to search genome-wide for DNA variations in microRNA genes, their regulatory regions, and in the 3’UTR of protein-coding genes. To identify disease-relevant DNA polymorphisms, a cohort of 176 female fibromyalgia patients was studied in comparison to a cohort of 162 healthy women. The association between 48,329 markers and fibromyalgia was investigated using logistic regression adjusted for population stratification. Results show that 29 markers had p-values < 1 × 10−3, and the strongest association was observed for rs758459 (p-value of 0.0001), located in the Neurogenin 1 gene which is targeted by hsa-miR-130a-3p. Furthermore, variant rs2295963 is predicted to affect binding of hsa-miR-1-3p. Both microRNAs were previously reported to be differentially expressed in fibromyalgia patients. Despite its limited statistical power, this study reports two microRNA-related polymorphisms which may play a functional role in the pathogenesis of fibromyalgia. For a better understanding of the disease pattern, further functional analyses on the biological significance of microRNAs and microRNA-related polymorphisms are required. Full article
(This article belongs to the Special Issue MicroRNAs and Complex Disease: Prevention, Diagnosis, Treatment, and Mechanism)
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