Droplet-based high-throughput single microbe RNA sequencing by smRandom-seq

David A. Weitz, Yu Chen, Peng Yin, Nan Liu, Yifei Shen, Guoji Guo, Kuanwei Sheng, Xiaoting Hua, Yunsong Yu, Yongcheng Wang, Ting Cao, Yingjuan Huang, Ziye Xu, Yuting Wang, Raoul G Rosenthal, Tianyu Zhang, Jiaye Chen, Mengdi Song, Yuexiao Lv, Shunji Zhang, Zhaolun Wang, Yan Jiang, Yuting Wang, Shunji Zhang
2023-08-23

SCID:  54.1/zt3wjbxq
Bacteria colonize almost all parts of the human body and can differ significantly. However, the population level transcriptomics measurements can only describe the average bacteria population behaviors, ignoring the heterogeneity among bacteria. Here, we report a droplet-based high-throughput single-microbe RNA-seq assay (smRandom-seq), using random primers for in situ cDNA generation, droplets for single-microbe barcoding, and CRISPR-based rRNA depletion for mRNA enrichment. smRandom-seq showed a high species specificity (99%), a minor doublet rate (1.6%), a reduced rRNA percentage (32%), and a sensitive gene detection (a median of ~1000 genes per single E. coli). Furthermore, smRandom-seq successfully captured transcriptome changes of thousands of individual E. coli and discovered a few antibiotic resistant subpopulations displaying distinct gene expression patterns of SOS response and metabolic pathways in E. coli population upon antibiotic stress. smRandom-seq provides a high-throughput single-microbe transcriptome profiling tool that will facilitate future discoveries in microbial resistance, persistence, microbe-host interaction, and microbiome research.
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2023-08-23
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David A. Weitz
Yu Chen
Peng Yin
Nan Liu
Yifei Shen
Guoji Guo
Kuanwei Sheng
Xiaoting Hua
Yunsong Yu
Yongcheng Wang
Ting Cao
Yingjuan Huang
Ziye Xu
Yuting Wang
Raoul G Rosenthal
Tianyu Zhang
Jiaye Chen
Mengdi Song
Yuexiao Lv
Shunji Zhang
Zhaolun Wang
Yan Jiang
Yuting Wang
Shunji Zhang
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