Xinran Yu, H. Zhang, T. Lilburn, Hong Cai, Jianying Gu, T. Korkmaz, Yufeng Wang
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引用次数: 0
Abstract
Malaria remains one of the most important public health concerns worldwide. It causes nearly half a million deaths every year, and about 40% of the world's population lives in the endemic regions of malaria. A major hurdle in antimalarial development is our limited understanding of the dynamic cellular networks in the malaria parasite. In this study, by coupling RNA-Seq analysis and network mining using a PageRank-based algorithm, we investigated the temporal-specific expression of parasite genes during the 48-hour red blood cycle, and identified genes that may play influential roles in parasite development and invasion. The just-in-time mechanism for gene expression may contribute to a dynamic yet effective adaptive strategy of the malaria parasite.