生物
人类健康
人类疾病
计算生物学
人体微生物群
疾病
基因组
抗菌药物
数据科学
微生物群
生物信息学
抗菌剂
遗传学
微生物学
计算机科学
环境卫生
基因
病理
医学
作者
Teija Ojala,Aino-Elina Häkkinen,Esko Kankuri,Matti Kankainen
标识
DOI:10.1016/j.tig.2023.05.004
摘要
Metatranscriptomics refers to the analysis of the collective microbial transcriptome of a sample. Its increased utilization for the characterization of human-associated microbial communities has enabled the discovery of many disease-state related microbial activities. Here, we review the principles of metatranscriptomics-based analysis of human-associated microbial samples. We describe strengths and weaknesses of popular sample preparation, sequencing, and bioinformatics approaches and summarize strategies for their use. We then discuss how human-associated microbial communities have recently been examined and how their characterization may change. We conclude that metatranscriptomics insights into human microbiotas under health and disease have not only expanded our knowledge on human health, but also opened avenues for rational antimicrobial drug use and disease management.
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