Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/5752
Title: Computational prediction of MicroRNAs from toxoplasma gondii potentially regulating the hosts' gene expression
Authors: Saçar, Müşerref Duygu
Bağcı, Caner
Allmer, Jens
Keywords: Host interaction
MicroRNA
Parasite
Toxoplasma gondii
Publisher: Elsevier Ltd.
Source: Saçar, M.D., Bağcı, C., and Allmer, J. (2014). Computational prediction of MicroRNAs from toxoplasma gondii potentially regulating the hosts' gene expression. Genomics, Proteomics and Bioinformatics, 12(5), 228-238. doi:10.1016/j.gpb.2014.09.002
Abstract: MicroRNAs (miRNAs) 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 miRNAs 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 miRNAs 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 miRNAs within the host are causal for disease onset, we hypothesized that T. gondii could export miRNAs 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 miRNAs 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 miRNAs into its hosts for direct regulation.
URI: https://doi.org/10.1016/j.gpb.2014.09.002
http://hdl.handle.net/11147/5752
ISSN: 1672-0229
Appears in Collections:Molecular Biology and Genetics / Moleküler Biyoloji ve Genetik
PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collection
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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