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Integrating microbiome, transcriptome and metabolome data to investigate gastric disease pathogenesis: a concise review
Expert Reviews in Molecular Medicine ( IF 6.2 ) Pub Date : 2021-08-16 , DOI: 10.1017/erm.2021.8
Dalla Doohan 1 , Yudith Annisa Ayu Rezkitha 2 , Langgeng Agung Waskito 1 , Ratha-korn Vilaichone 3 , Yoshio Yamaoka 4 , Muhammad Miftahussurur 5
Affiliation  

Microbiome, the study of microbial communities in specific environments, has developed significantly since the Human Microbiome Project began. Microbiomes have been associated with changes within environmental niches and the development of various diseases. The development of high-throughput technology such as next-generation sequencing has also allowed us to perform transcriptome studies, which provide accurate functional profiling data. Metabolome studies, which analyse the metabolites found in the environment, are the most direct environmental condition indicator. Although each dataset provides valuable information on its own, the integration of multiple datasets provides a deeper understanding of the relationship between the host, agent and environment. Therefore, network analysis using multiple datasets might give a clearer understanding of disease pathogenesis.

中文翻译:

整合微生物组、转录组和代谢组数据研究胃病发病机制:简明综述

微生物组是对特定环境中微生物群落的研究,自人类微生物组计划开始以来取得了长足的发展。微生物组与环境生态位的变化和各种疾病的发展有关。下一代测序等高通量技术的发展也使我们能够进行转录组研究,从而提供准确的功能分析数据。代谢组学研究分析环境中发现的代谢物,是最直接的环境条件指标。尽管每个数据集都提供了自己的有价值的信息,但多个数据集的集成可以更深入地了解主机、代理和环境之间的关系。所以,
更新日期:2021-08-16
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