Functional prediction of candidate micrornas for CRC management using in silico approach
Loading...
Date
2019
Journal Title
Journal ISSN
Volume Title
Publisher
MDPI
Abstract
Approximately 30–50% of malignant growths can be prevented by avoiding risk factors
and implementing evidence-based strategies. Colorectal cancer (CRC) accounted for the second most
common cancer and the third most common cause of cancer death worldwide. This cancer subtype
can be reduced by early detection and patients’ management. In this study, the functional roles of
the identified microRNAs were determined using an in silico pipeline. Five microRNAs identified
using an in silico approach alongside their seven target genes from our previous study were used as
datasets in this study. Furthermore, the secondary structure and the thermodynamic energies of the
microRNAs were revealed by Mfold algorithm. The triplex binding ability of the oligonucleotide
with the target promoters were analyzed by Trident. Finally, evolutionary stage-specific somatic
events and co-expression analysis of the target genes in CRC were analyzed by SEECancer and
GeneMANIA plugin in Cytoscape. Four of the five microRNAs have the potential to form more than
one secondary structure. The ranges of the observed/expected ratio of CpG dinucleotides of these
genes range from 0.60 to 1.22.
Description
Keywords
Biotechnology, Colorectal cancer, Public health, Patients
Citation
Fadaka, A. O. et al. (2019). Functional prediction of candidate micrornas for CRC management using in silico approach. International Journal of Molecular Sciences, 20(20), 5190. https://doi.org/10.3390/ijms20205190