High Throughput Yeast Strain Phenotyping with Droplet-Based RNA Sequencing

被引:0
|
作者
Zhang, Jesse Q. [1 ,2 ]
Chang, Kai-Chun [1 ]
Liu, Leqian [1 ]
Gartner, Zev J. [3 ,5 ]
Abate, Adam R. [1 ,4 ,5 ]
机构
[1] Univ Calif San Francisco, Dept Bioengn & Therapeut Sci, San Francisco, CA 94143 USA
[2] Univ Calif San Francisco, Univ Calif Berkeley UCSF Grad Program Bioengn, San Francisco, CA 94143 USA
[3] Univ Calif San Francisco, Dept Pharmaceut Chem, San Francisco, CA 94143 USA
[4] Univ Calif San Francisco, Calif Inst Quantitat Biosci, San Francisco, CA 94143 USA
[5] Chan Zuckerberg Biohub, San Francisco, CA USA
来源
基金
美国国家科学基金会; 美国国家卫生研究院;
关键词
Bioengineering; Issue; 159; microbial engineering; yeast strains; single cell RNA sequencing; droplet microfluidics; high-throughput sequencing; hydrogel droplets; MICROFLUIDICS; CELLS; MODEL;
D O I
10.3791/61014
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The powerful tools available to edit yeast genomes have made this microbe a valuable platform for engineering. While it is now possible to construct libraries of millions of genetically distinct strains, screening for a desired phenotype remains a significant obstacle. With existing screening techniques, there is a tradeoff between information output and throughput, with high-throughput screening typically being performed on one product of interest. Therefore, we present an approach to accelerate strain screening by adapting single cell RNA sequencing to isogenic picoliter colonies of genetically engineered yeast strains. To address the unique challenges of performing RNA sequencing on yeast cells, we culture isogenic yeast colonies within hydrogels and spheroplast prior to performing RNA sequencing. The RNA sequencing data can be used to infer yeast phenotypes and sort out engineered pathways. The scalability of our method addresses a critical obstruction in microbial engineering.
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页数:8
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