生物
计算生物学
基因组
免疫系统
仿形(计算机编程)
细胞
核糖核酸
基因
遗传学
转录组
基因表达
计算机科学
操作系统
作者
Fabian Imdahl,Antoine‐Emmanuel Saliba
标识
DOI:10.1016/j.mib.2020.10.001
摘要
Microbes have developed complex strategies to respond to their environment and escape the immune system by individualizing their behavior. While single-cell RNA sequencing has become instrumental for studying mammalian cells, its use with fungi, protozoa and bacteria is still in its infancy. In this review, we highlight the major progress towards mapping the molecular states of microbes at the single-cell level using genome-wide transcriptomics and describe how these technologies can be extended to probe thousands of species at high throughput. We envision that mammalian and microbial single-cell profiling could soon be integrated for the study of microbial communities in health and disease.
科研通智能强力驱动
Strongly Powered by AbleSci AI