High-performance Single Cell Genetic Analysis Using Microfluidic Emulsion Generator Arrays
Affiliations
High-throughput genetic and phenotypic analysis at the single cell level is critical to advance our understanding of the molecular mechanisms underlying cellular function and dysfunction. Here we describe a high-performance single cell genetic analysis (SCGA) technique that combines high-throughput microfluidic emulsion generation with single cell multiplex polymerase chain reaction (PCR). Microfabricated emulsion generator array (MEGA) devices containing 4, 32, and 96 channels are developed to confer a flexible capability of generating up to 3.4 x 10(6) nanoliter-volume droplets per hour. Hybrid glass-polydimethylsiloxane diaphragm micropumps integrated into the MEGA chips afford uniform droplet formation, controlled generation frequency, and effective transportation and encapsulation of primer functionalized microbeads and cells. A multiplex single cell PCR method is developed to detect and quantify both wild type and mutant/pathogenic cells. In this method, microbeads functionalized with multiple forward primers targeting specific genes from different cell types are used for solid-phase PCR in droplets. Following PCR, the droplets are lysed and the beads are pooled and rapidly analyzed by multicolor flow cytometry. Using Escherichia coli bacterial cells as a model, we show that this technique enables digital detection of pathogenic E. coli O157 cells in a high background of normal K12 cells, with a detection limit on the order of 1/10(5). This result demonstrates that multiplex SCGA is a promising tool for high-throughput quantitative digital analysis of genetic variation in complex populations.
A programmable microfluidic platform to monitor calcium dynamics in microglia during inflammation.
Shebindu A, Kaveti D, Umutoni L, Kirk G, Burton M, Jones C Microsyst Nanoeng. 2024; 10:106.
PMID: 39101003 PMC: 11294448. DOI: 10.1038/s41378-024-00733-1.
Zhang Y, Li K, Zhao Y, Shi W, Iyer H, Kim S Anal Chem. 2022; 94(40):13804-13809.
PMID: 36166829 PMC: 9558086. DOI: 10.1021/acs.analchem.2c02323.
An Overview of Organs-on-Chips Based on Deep Learning.
Li J, Chen J, Bai H, Wang H, Hao S, Ding Y Research (Wash D C). 2022; 2022:9869518.
PMID: 35136860 PMC: 8795883. DOI: 10.34133/2022/9869518.
Microfluidic systems for hydrodynamic trapping of cells and clusters.
Luan Q, Macaraniag C, Zhou J, Papautsky I Biomicrofluidics. 2022; 14(3):031502.
PMID: 34992704 PMC: 8719525. DOI: 10.1063/5.0002866.
Methods and platforms for analysis of nucleic acids from single-cell based on microfluidics.
Liu L, Dong X, Tu Y, Miao G, Zhang Z, Zhang L Microfluid Nanofluidics. 2021; 25(11):87.
PMID: 34580578 PMC: 8457033. DOI: 10.1007/s10404-021-02485-0.