Lab on a Chip · 2018 · 72 citations · 43 references
EngineeringBiomedical EngineeringMolecular BiologyBiomemsBiosensorsMicrofabricationCell-based BiosensorsMicrofluidic BiosensorsMicrofluidic DevicesMicrofluidic SystemsMicrofluidicsSignal Amplification StrategiesIsothermal AmplificationIsothermal Amplification AssaysIsothermal Amplification BiosensorsMicrofluidic Device DesignMicrofluidic FlowMicrofluidic PlatformsMicrofluidic Single-cell AnalysisMicrorna Biosensors
Analysis of microRNA (miRNA), a pivotal primary regulator of fundamental cellular processes, at the single-cell level is essential to elucidate regulated gene expression precisely. Most single-cell gene sequencing methods use the polymerase chain reaction (PCR) to increase the concentration of the target gene for detection, thus requiring a barcoding process for cell identification and creating a challenge for real-time, large-scale screening of sequences in cells to rapidly profile physiological samples. In this study, a rapid, PCR-free, single-cell miRNA assay is developed from a continuous-flow microfluidic process employing a DNA hybridization chain reaction to amplify the target miRNA signal. Individual cells are encapsulated with DNA amplifiers in water-in-oil droplets and then lysed. The released target miRNA interacts with the DNA amplifiers to trigger hybridization reactions, producing fluorescence signals. Afterward, the target sequences are recycled to trigger a cyclic cascade reaction and significantly amplify the fluorescence signals without using PCR thermal cycling. Multiple DNA amplifiers with distinct fluorescence signals can be encapsulated simultaneously in a droplet to measure multiple miRNAs from a single cell simultaneously. Moreover, this process converts the lab bench PCR assay to a real-time droplet assay with the post-reaction fluorescence signal as a readout to allow flow cytometry-like continuous-flow measurement of sequences in a single cell with an ultrahigh throughput (300-500 cells per minute) for rapid biomedical identification.
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Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets
Evan Z. Macosko, Anindita Basu, Rahul Satija et al. · Cell · 2015 · 7.8K citations · Full text
Droplet Barcoding for Single-Cell Transcriptomics Applied to Embryonic Stem Cells
Allon M. Klein, Linas Mažutis, Ilke Akartuna et al. · Cell · 2015 · 3.7K citations · Full text
Programming biomolecular self-assembly pathways
Peng Yin, Harry M. T. Choi, Colby R. Calvert et al. · Nature · 2008 · 1.6K citations
Natural Sciences, Biomolecular Engineering, Molecular Biology +10