Journal of RNA and Genomics

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Research Article - Journal of RNA and Genomics (2021) Volume 17, Issue 0

Computational identification of human miR-802-5p from type I diabetes genome sequence.

Background: Type 1 Diabetes Mellitus (T1DM) is distinguished by the autoimmune destruction of insulin-producing cells in the pancreas by infiltrating CD4+ and CD8+ T cells and macrophages. Several studies have found that there are selective expressions of miRNAs that may be regulated to diabetic conditions. microRNAs (miRNAs) called non-coding RNAs regulate a variety of biological processes including cell proliferation and apoptosis and can serve as diagnostic and therapeutic targets in treating various diseases including T1DM. The current study aims in identifying miRNAs in T1DM from genome sequences found in public genomic databases. Materials and methods: In this study, we have used the National Centre for Biotechnology Information (NCBI) web portal to identify miR-802-5p for T1DM using a bioinformatics approach and RNA fold was used to create the secondary structure. Results: hsa-miR-802-5p was identified in the T1DM genome sequence with the minimum folding free energy of the secondary structure was found to be -33.60 kcal. Conclusion: In conclusion, miR-802-5p, a novel miRNA has been identified from human T1DM through a computational approach. However, more research on miR-802-5p is needed to be studied in suppression and progression of T1DM. The management and treatment strategies for T1DM are elusive and the exact molecular mechanism is not yet clearly studied. This computational approach contributes to a better understanding of miRNAs role as biomarkers and how they can be used for diagnosis, prognosis and as a therapeutic target.

Author(s): Sai Sanjana Ganji, Lavanya Prathap, Auxzilia Preethi K, Sushmaa Chandralekha Selvakumar, Durairaj Sekar

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