MIAOME: Human microbiome affect the host epigenome

表观基因组 生物 微生物群 表观遗传学 表观遗传学 组蛋白 DNA甲基化 计算生物学 寄主(生物学) 遗传学 基因组 基因 基因表达
作者
Lidan Wang,Wei Zhang,Xianglu Wu,Liang Xiao,Lijie Cao,Jincheng Zhai,Yiyang Yang,Qiuxiao Chen,Hongqing Liu,Jun Zhang,Yubin Ding,Feng Zhu,Jing Tang
出处
期刊:Computational and structural biotechnology journal [Elsevier BV]
卷期号:20: 2455-2463 被引量:17
标识
DOI:10.1016/j.csbj.2022.05.024
摘要

Besides the genetic factors having tremendous influences on the regulations of the epigenome, the microenvironmental factors have recently gained extensive attention for their roles in affecting the host epigenome. There are three major types of microenvironmental factors: microbiota-derived metabolites (MDM), microbiota-derived components (MDC) and microbiota-secreted proteins (MSP). These factors can regulate host physiology by modifying host gene expression through the three highly interconnected epigenetic mechanisms (e.g. histone modifications, DNA modifications, and non-coding RNAs). However, no database was available to provide the comprehensive factors of these types. Herein, a database entitled 'Human Microbiome Affect The Host Epigenome (MIAOME)' was constructed. Based on the types of epigenetic modifications confirmed in the literature review, the MIAOME database captures 1068 (63 genus, 281 species, 707 strains, etc.) human microbes, 91 unique microbiota-derived metabolites & components (16 fatty acids, 10 bile acids, 10 phenolic compounds, 10 vitamins, 9 tryptophan metabolites, etc.) derived from 967 microbes; 50 microbes that secreted 40 proteins; 98 microbes that directly influence the host epigenetic modification, and provides 3 classifications of the epigenome, including (1) 4 types of DNA modifications, (2) 20 histone modifications and (3) 490 ncRNAs regulations, involved in 160 human diseases. All in all, MIAOME has compiled the information on the microenvironmental factors influence host epigenome through the scientific literature and biochemical databases, and allows the collective considerations among the different types of factors. It can be freely assessed without login requirement by all users at: http://miaome.idrblab.net/ttd/.

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