Anzeige
Erschienen in:
2014 | OriginalPaper | Buchkapitel
Dysregulated microRNA Profile in HeLa Cell Lines Induced by Lupeol
verfasst von : Xiyuan Lu, Cuihong Dai, Aiju Hou, Jie Cui, Dayou Cheng, Dechang Xu
Erschienen in: Bioinformatics Research and Applications
Verlag: Springer International Publishing
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Lupeol attracted lots of research attention because of its anticancer activity. This work presents the complete microRNA profile between lupeol treated HeLa cell lines and control group, and investigates the complete small RNA sequencing data analysis process, including microRNA annotation, novel microRNA prediction, dysregulated microRNA identification and microRNA target prediction. Based on single replicate data, we applied generalized fold change (GFOLD) algorithm to detect significant regulated microRNAs. Furthermore, we adopted GOmir to predict targets of some microRNAs which have received fully attention and perform ontology analysis. The experimental results indicate that the predicted microRNAs are highly correlated with carcinogenesis.