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DOI 10.1111/jcmm.16586

Медицинская библиотека · Journal of cellular and molecular medicine · 2021

Construction of circRNA-miRNA-mRNA network in the pathogenesis of recurrent implantation failure using integrated bioinformatics study.

Ahmadi Mohsen, Pashangzadeh Salar, Moraghebi Mahta, Sabetian Soudabeh, Shekari Mohammad, Eini Fatemeh, Salehi Ensieh, Mousavi Pegah

СтатьяПоддержка исследования: вне правительства СШАПеревод пока не подготовлен

Аннотация

This research attempted to elucidate the molecular components are involved in the pathogenesis of recurrent implantation failure (RIF). We initially identified that 386 mRNAs, 144 miRNAs and 2548 circRNAs were differentially expressed (DE) in RIF and then investigated the genetic cause of the observed abnormal expression by constructing a circRNA-miRNA-mRNA network considering the competing endogenous RNA theory. We further analysed the upstream transcription factors and related kinases of DEmRNAs (DEMs) and demonstrated that SUZ12, AR, TP63, NANOG, and TCF3 were the top five TFs binding to these DEMs. Besides, protein-protein interaction analysis disclosed that ACTB, CXCL10, PTGS2, CXCL12, GNG4, AGT, CXCL11, SST, PENK, and FOXM1 were the top 10 hub genes in the acquired network. Finally, we performed the functional enrichment analysis and found that arrhythmogenic right ventricular cardiomyopathy (ARVC), hypertrophic cardiomyopathy (HCM), pathways in cancer, TNF signalling pathway and steroid hormone biosynthesis were the potentially disrupted pathways in RIF patients. Optimistically, our findings may deepen our apprehensions about the underlying molecular and biological causes of RIF and provide vital clues for future laboratory and clinical experiments that will ultimately bring a better outcome for patients with RIF.

Для цитирования: Ahmadi Mohsen, Pashangzadeh Salar, Moraghebi Mahta, Sabetian Soudabeh, Shekari Mohammad, Eini Fatemeh, Salehi Ensieh, Mousavi Pegah. Construction of circRNA-miRNA-mRNA network in the pathogenesis of recurrent implantation failure using integrated bioinformatics study.. Journal of cellular and molecular medicine. 2021. DOI: 10.1111/jcmm.16586.

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