Volume 12, Issue 4 (2021)                   JMBS 2021, 12(4): 12-30 | Back to browse issues page

XML Persian Abstract Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Tafazoli P, Motahari Rad H, Siadat F, Fathi R, Mashayekhy M. Bioinformatics evaluation of miRNAs involved in premature ovarian failure (POF). JMBS 2021; 12 (4) :12-30
URL: http://biot.modares.ac.ir/article-22-49315-en.html
1- Department of Veterinary, Garmsar Branch, Islamic Azad University, Semnan, Iran
2- 4Department of Genetics,Factulty of Bioligical Science, Tarbiat Modares University, Tehran1411713114,Iran
3- Department of Biology, North Tehran Branch, Islamic Azad University, Tehran, Iran
4- Department of Embryology, Reproductive Biomedicine Research Center, Royan Institute for Reproductive Biomedicine, ACECR, Tehran, Iran , rfathi79@royaninstitute.org
5- Department of Endocrinology and Female Infertility, Reproductive Biomedicine Research Center, Royan Institute for ReproductiveBiomedicine, ACECR, Tehran, Iran
Abstract:   (1595 Views)
Objective: Premature ovarian failure (POF) is one of the most important reproductive diseases in women under 40 years of age, which affects the quality of life and longevity of these people by causing short-term and long-term complications.
The incidence of POF is a chronic process that takes several years to develop. The patient went through stages such as premature ovarian insufficiency (POI) and decreased ovarian reserve (DOR), in the early stages of the disease decreased ovarian function efficiency (POI) and then with further progression of the disease, the patient decreased ovarian reserve and further reduce their performance. As the disease progresses, the person eventually develops premature and complete ovarian failure, or POF studies have shown that many factors, including surgical trauma, autoimmune diseases, certain drugs, vaccines, and genetic factors, play a role. Genetic studies have shown that several genes are involved in the development of this disease. Part of the regulation of the expression of these genes is the responsibility of small genetic factors called miRNAs.
Materials and Methods: In the present study, bioinformatics information of miRNAs involved in this disease was investigated. For this purpose, genetic databases such as UCSC, NCBI, KEGG, MIRBASE, TARGET SCAN, STRING, etc. were used to access the genes involved in this disease, structural and functional communication, messaging pathways and regulatory miRNA.
Results and Conclusion: The results of this study indicate that three factors, miRNA-187, miRNA-33b and miRNA-33a, are very effective in the development and progression of this disease.
Full-Text [PDF 632 kb]   (467 Downloads)    
Article Type: Original Research | Subject: Bioinformatics
Received: 2021/01/19 | Accepted: 2021/07/28 | Published: 2022/11/28

Add your comments about this article : Your username or Email:

Send email to the article author

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.