TY - JOUR
T1 - Integration of Droplet Microfluidic Tools for Single-Cell Functional Metagenomics
T2 - An Engineering Head Start
AU - Conchouso, David
AU - Al-Ma'abadi, Amani
AU - Behzad, Hayedeh
AU - Alarawi, Mohammed
AU - Hosokawa, Masahito
AU - Nishikawa, Yohei
AU - Takeyama, Haruko
AU - Mineta, Katsuhiko
AU - Gojobori, Takashi
N1 - Funding Information:
The work was supported by the grants from King Abdullah University of Science and Technology (KAUST) , Saudi Arabia (Grant Nos. BAS/1/1059/01/01 , URF/1/1976/03/01 , URF/1/1976-17-01 , URF/1/1976-20-01 , and FCS/1/3326-01-01 ). Finally, we thank the nanofabrication and the microfluidics Core Laboratories at KAUST for their support in realizing these microfluidic technologies.
Publisher Copyright:
© 2021 The Authors
PY - 2021/6
Y1 - 2021/6
N2 - Droplet microfluidic techniques have shown promising outcome to study single cells at high throughput. However, their adoption in laboratories studying “-omics” sciences is still irrelevant due to the complex and multidisciplinary nature of the field. To facilitate their use, here we provide engineering details and organized protocols for integrating three droplet-based microfluidic technologies into the metagenomic pipeline to enable functional screening of bioproducts at high throughput. First, a device encapsulating single cells in droplets at a rate of ∼250 Hz is described considering droplet size and cell growth. Then, we expand on previously reported fluorescence-activated droplet sorting systems to integrate the use of 4 independent fluorescence-exciting lasers (i.e., 405, 488, 561, and 637 nm) in a single platform to make it compatible with different fluorescence-emitting biosensors. For this sorter, both hardware and software are provided and optimized for effortlessly sorting droplets at 60 Hz. Then, a passive droplet merger is also integrated into our pipeline to enable adding new reagents to already-made droplets at a rate of 200 Hz. Finally, we provide an optimized recipe for manufacturing these chips using silicon dry-etching tools. Because of the overall integration and the technical details presented here, our approach allows biologists to quickly use microfluidic technologies and achieve both single-cell resolution and high-throughput capability (>50,000 cells/day) for mining and bioprospecting metagenomic data.
AB - Droplet microfluidic techniques have shown promising outcome to study single cells at high throughput. However, their adoption in laboratories studying “-omics” sciences is still irrelevant due to the complex and multidisciplinary nature of the field. To facilitate their use, here we provide engineering details and organized protocols for integrating three droplet-based microfluidic technologies into the metagenomic pipeline to enable functional screening of bioproducts at high throughput. First, a device encapsulating single cells in droplets at a rate of ∼250 Hz is described considering droplet size and cell growth. Then, we expand on previously reported fluorescence-activated droplet sorting systems to integrate the use of 4 independent fluorescence-exciting lasers (i.e., 405, 488, 561, and 637 nm) in a single platform to make it compatible with different fluorescence-emitting biosensors. For this sorter, both hardware and software are provided and optimized for effortlessly sorting droplets at 60 Hz. Then, a passive droplet merger is also integrated into our pipeline to enable adding new reagents to already-made droplets at a rate of 200 Hz. Finally, we provide an optimized recipe for manufacturing these chips using silicon dry-etching tools. Because of the overall integration and the technical details presented here, our approach allows biologists to quickly use microfluidic technologies and achieve both single-cell resolution and high-throughput capability (>50,000 cells/day) for mining and bioprospecting metagenomic data.
KW - Biotechnology
KW - Droplet microfluidics
KW - Droplet sorter
KW - Metagenomics
KW - Single cell
UR - http://www.scopus.com/inward/record.url?scp=85123112639&partnerID=8YFLogxK
U2 - 10.1016/j.gpb.2021.03.010
DO - 10.1016/j.gpb.2021.03.010
M3 - Article
C2 - 34952209
AN - SCOPUS:85123112639
SN - 1672-0229
VL - 19
SP - 504
EP - 518
JO - Genomics, Proteomics and Bioinformatics
JF - Genomics, Proteomics and Bioinformatics
IS - 3
ER -