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- W2983173832 abstract "Micro RNAs(mi RNAs) were discovered two decades ago, yet there is still a great need for further studies elucidating their genesis and targeting in different phyla. Since experimental discovery and validation of mi RNAs is difficult, computational predictions are indispensable and today most computational approaches employ machine learning. Toxoplasma gondii, a parasite residing within the cells of its hosts like human, uses mi RNAs for its post-transcriptional gene regulation. It may also regulate its hosts' gene expression, which has been shown in brain cancer. Since previous studies have shown that overexpressed mi RNAs within the host are causal for disease onset, we hypothesized that T. gondii could export mi RNAs into its host cell. We computationally predicted all hairpins from the genome of T. gondii and used mouse and human models to filter possible candidates. These were then further compared to known mi RNAs in human and rodents and their expression was examined for T. gondii grown in mouse and human hosts, respectively. We found that among the millions of potential hairpins in T. gondii, only a few thousand pass filtering using a human or mouse model and that even fewer of those are expressed. Since they are expressed and differentially expressed in rodents and human, we suggest that there is a chance that T. gondii may export mi RNAs into its hosts for direct regulation." @default.
- W2983173832 created "2019-11-22" @default.
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- W2983173832 date "2014-01-01" @default.
- W2983173832 modified "2023-09-27" @default.
- W2983173832 title "Computational Prediction of Micro RNAs from Toxoplasma gondii Potentially Regulating the Hosts' Gene Expression" @default.
- W2983173832 hasPublicationYear "2014" @default.
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