微生物群
生物
计算生物学
转录组
转化式学习
仿形(计算机编程)
基因组
功能(生物学)
人类健康
人类微生物组计划
基因表达谱
微生物遗传学
人体微生物群
基因表达
进化生物学
基因
数据科学
生物信息学
遗传学
计算机科学
社会学
医学
环境卫生
操作系统
教育学
作者
Andrew W. Pountain,Itai Yanai
出处
期刊:Science
[American Association for the Advancement of Science]
日期:2025-09-04
卷期号:389 (6764)
标识
DOI:10.1126/science.adp6252
摘要
Revealing insights into the function of microbial communities requires moving beyond measuring bulk taxonomic composition to detecting interactions between subpopulations. Following the transformative impact of single-cell gene expression profiling techniques on numerous fields of human biology, recent years have seen increased application to microbes. We review progress in the development of these techniques and discuss challenges in applying them to microbial communities. We highlight applications for dissecting the microbiome in human health and disease that reveal functional heterogeneity within gut communities, antibiotic responses, and the dynamics of mobile genetic elements. As single-cell gene expression technologies continue to develop, they are becoming ever more essential for examining and modulating the role of microbial communities in clinical and wider environments.
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