[口头报告]Decoding the decoder:Deciphering the expression, modification and functions of tRNAs from multi-omics data

Decoding the decoder:Deciphering the expression, modification and functions of tRNAs from multi-omics data
编号:19 稿件编号:46 访问权限:仅限参会人 更新:2022-07-16 13:59:21 浏览:504次 口头报告

报告开始:2022年07月23日 17:40 (Asia/Shanghai)

报告时间:15min

所在会议:[S1] 分会场1 » [S1-1] 生物医学大数据与人工智能

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摘要
More than 200 human viruses have been reported, and they use sophisticated and diverse strategies to infect the human body. The search for the receptors used by viruses to invade cells has long been devoted to trying to understand the first steps of viral infection. However, studies conducted from different perspectives do not reflect the full picture and commonality of these receptor molecules. In this study, we integrated genomic, transcriptomic, and epitranscriptome data to establish a multi-omics joint analysis platform, GateView, to demonstrate the multifaceted characteristics of each viral receptor, including expression characteristics, DNA variants and RNA modifications, homologous gene distribution, and codon usage preferences in different populations, tissues, cells, and developmental stages of the receptors. Taking the coronavirus family as an example, we have used the GateView platform to analyze the relationship between viral receptor molecules and other factors in host cells in detail, including co-expression characteristics among receptor molecules and the relationship between codon usage preferences and highly expressed genes in tissues, taking into account the infection characteristics of viruses. The above studies provide an important data resource for revealing the mechanism of virus invasion into the host and subsequent drug development.
关键字
receptor,virus,tissue,deep sequenc,bioinformatics
报告人
郑凌伶
副教授 中山大学

稿件作者
郑凌伶 中山大学
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