3.General anesthesia using remimazolam and remifentanil in combination with local anesthetics without neuromuscular blocking agents in a patient with myotonic dystrophy
Yukihide KOYAMA ; Haruko NISHIKAWA ; Yoriko MURASE ; Kei MORITA ; Koichi TSUZAKI
Korean Journal of Anesthesiology 2023;76(4):391-393
4.Integration of Droplet Microfluidic Tools for Single-Cell Functional Metagenomics: An Engineering Head Start.
David CONCHOUSO ; Amani AL-MA'ABADI ; Hayedeh BEHZAD ; Mohammed ALARAWI ; Masahito HOSOKAWA ; Yohei NISHIKAWA ; Haruko TAKEYAMA ; Katsuhiko MINETA ; Takashi GOJOBORI
Genomics, Proteomics & Bioinformatics 2021;19(3):504-518
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.