In silico identification of micrornas as candidate Colorectal cancer biomarkers

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dc.contributor.authorFadaka, Adewale Oluwaseun
dc.date.accessioned2023-01-11T13:00:25Z
dc.date.available2023-01-11T13:00:25Z
dc.date.issued2019
dc.description.abstractThe involvement of microRNA in cancers plays a significant role in their pathogenesis. Specific expressions of these non-coding RNAs also serve as biomarkers for early colorectal cancer diagnosis, but their laboratory/molecular identification is challenging and expensive. The aim of this study was to identify potential microRNAs for colorectal cancer diagnosis using in silico approach. Sequence similarity search was employed to obtain the candidate microRNA from the datasets, and three target prediction software were employed to determine their target genes. To determine the involvement of these microRNAs in colorectal cancer, the microRNA gene list obtained was used alongside with colorectal cancer expressed genes from gbCRC and CoReCG databases for gene intersection analysis. The involvement of these genes in the cancer subtype was further strengthened with the DAVID databaseen_US
dc.identifier.citationFadaka, A.O. et al. (2019). In silico identification of micrornas as candidate Colorectal cancer biomarkers. Tumor Biology, 41(11). 10.1177/1010428319883721en_US
dc.identifier.issn1010-4283
dc.identifier.urihttp://hdl.handle.net/10566/8280
dc.language.isoen_USen_US
dc.publisherSage Journalsen_US
dc.subjectColorectal canceren_US
dc.subjectDiagnosticsen_US
dc.subjectEarly detectionen_US
dc.subjectin silico analysisen_US
dc.subjectmicroRNAen_US
dc.titleIn silico identification of micrornas as candidate Colorectal cancer biomarkersen_US
dc.typeArticleen_US

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