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Gholami-Barzoki, Mehdi, Shatizadeh-Malekshahi, Somayeh, Shayestehpour, Mohammad, Soltanghoraee, Haleh. (1404). Prediction of microRNAs affecting the syncytin-1 (HERV-W) and syncytin-2 (HERV-FRD) genes regulation in endometriosis and miscarriage. , 15(1), 63-70. doi: 10.22099/mbrc.2025.54457.2225
Mehdi Gholami-Barzoki; Somayeh Shatizadeh-Malekshahi; Mohammad Shayestehpour; Haleh Soltanghoraee. "Prediction of microRNAs affecting the syncytin-1 (HERV-W) and syncytin-2 (HERV-FRD) genes regulation in endometriosis and miscarriage". , 15, 1, 1404, 63-70. doi: 10.22099/mbrc.2025.54457.2225
Gholami-Barzoki, Mehdi, Shatizadeh-Malekshahi, Somayeh, Shayestehpour, Mohammad, Soltanghoraee, Haleh. (1404). 'Prediction of microRNAs affecting the syncytin-1 (HERV-W) and syncytin-2 (HERV-FRD) genes regulation in endometriosis and miscarriage', , 15(1), pp. 63-70. doi: 10.22099/mbrc.2025.54457.2225
Gholami-Barzoki, Mehdi, Shatizadeh-Malekshahi, Somayeh, Shayestehpour, Mohammad, Soltanghoraee, Haleh. Prediction of microRNAs affecting the syncytin-1 (HERV-W) and syncytin-2 (HERV-FRD) genes regulation in endometriosis and miscarriage. , 1404; 15(1): 63-70. doi: 10.22099/mbrc.2025.54457.2225

Prediction of microRNAs affecting the syncytin-1 (HERV-W) and syncytin-2 (HERV-FRD) genes regulation in endometriosis and miscarriage

Molecular Biology Research Communications
دوره 15، شماره 1، 2026، صفحه 63-70    اصل مقاله (439.52 K)
نوع مقاله: Original article
شناسه دیجیتال (DOI): 10.22099/mbrc.2025.54457.2225
نویسندگان
Mehdi Gholami-Barzoki1؛ Somayeh Shatizadeh-Malekshahi* 1؛ Mohammad Shayestehpour2؛ Haleh Soltanghoraee3
1Department of Virology, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran
2Department of Bacteriology and Virology, Faculty of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
3Reproductive Biotechnology Research Center, Avicenna Research Institute, ACECR, Tehran, Iran
چکیده
Abnormal expression levels of microRNAs are associated with numerous diseases in the female reproductive tract. A small subset of human endogenous retroviruses (HERVs) genes have retained open reading frames (ORFs) that serve beneficial functions for the host. Syncytin-1 (HERV-W) and Syncytin-2 (HERV-FRD) play crucial roles in mammalian development and are expressed in placental trophoblasts. The miRNAs associated with HERV-W and HERV-FRD in spontaneous abortion and endometriosis have not been elucidated. The present study aimed to identify potential miRNAs that affect the regulation of Syncytin-1 and Syncytin-2 in endometriosis and miscarriage using bioinformatics tools. Complete CDS of Syncytin-1 (ERVW-1) and Syncytin-2 (ERVFRD-1) genes were collected from the gene bank database. Several target prediction algorithms were utilized, such as TargetScan, DIANA, miRDB, and miRWalk. Complete CDS of Syncytin-1 (ERVW-1) and Syncytin-2 (ERVFRD-1) genes were collected from the gene bank database. By integrating data from these diverse bioinformatics databases, miR-509-3p and miR-625-5p were consistent across multiple platforms, ensuring robust selection criteria. These tools facilitate the identification of differentially expressed miRNAs, understanding their roles in cellular processes, and potentially utilizing them as biomarkers for disease diagnosis and prognosis. Validation of the identified miRNAs in experimental models or clinical samples is needed to confirm their roles in endometriosis and miscarriage. 
کلیدواژه‌ها
microRNA؛ Endometriosis؛ Miscarriage؛ Human endogenous retroviruses
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