Research Article - Journal of RNA and Genomics (2021) Volume 17, Issue 0
Computational identification of miRNA-663b from preeclampsia genome sequence.
Background: Preeclampsia is contemplated as the most-feared frequent complication of pregnancy, which causes disproportionate risk and can be characterized by proteinuria, high blood pressure and edema. Certain risk factors associated with preeclampsia are liver and kidney dysfunction and growth restriction in children (Still birth). Preeclampsia can persist even after delivery and lead to cardiovascular disease in later stages. microRNAs (miRNAs) are small non-coding RNAs consisting of 19-25 nucleotides and have been playing important roles in the diagnosis, prognosis and therapy of many diseases. The present study aims to identify the miRNA from preeclampsia genome sequences available in public genomic databases. Materials and methods: Bioinformatic studies of miRNA-663b from preeclampsia genome sequences were extracted from NCBI (National Center for Biotechnology Information) web portal which is an international nucleotide sequences database consortium. Genome sequences were aligned to reference pre-miRNA sequences and the secondary structures were obtained from RNA fold. Result and discussion: Preeclampsia genome sequences were obtained with a minimum free energy of -59.90kcal/mol. The secondary structure of hsa-miR-663b is obtained and the incorporated pre-miRNA was confirmed for secondary structure using mRNA fold. Conclusion: It can be concluded that the miR-663b is identified as a target miRNA for preeclampsia and it acts as a biomarker for identifying preeclampsia. Bioinformatics is used for identification and verification of miRNA expressed in preeclampsia genome sequences.Author(s): Priyadarshini R, Lavanya Prathap, Auxzilia Preethi K, Sushmaa Chandralekha Selvakumar, Durairaj Sekar