Journal article
Yansong Zhao, Chen Lin, Pengcheng Wu, Xiaoyuan Chen, Yuancun Zhao, Yupeng Li, Lu Chen, M. Nilsson, Rongqin Ke
ACS Sensors, 2020
ACS Sensors, 2020
Semantic Scholar
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APA
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Zhao, Y., Lin, C., Wu, P., Chen, X., Zhao, Y., Li, Y., … Ke, R. (2020). Single cell RNA expression analysis using flow cytometry based on specific probe ligation and rolling circle amplification. ACS Sensors.
Chicago/Turabian
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Zhao, Yansong, Chen Lin, Pengcheng Wu, Xiaoyuan Chen, Yuancun Zhao, Yupeng Li, Lu Chen, M. Nilsson, and Rongqin Ke. “Single Cell RNA Expression Analysis Using Flow Cytometry Based on Specific Probe Ligation and Rolling Circle Amplification.” ACS Sensors (2020).
MLA
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Zhao, Yansong, et al. “Single Cell RNA Expression Analysis Using Flow Cytometry Based on Specific Probe Ligation and Rolling Circle Amplification.” ACS Sensors, 2020.
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@article{yansong2020a,
title = {Single cell RNA expression analysis using flow cytometry based on specific probe ligation and rolling circle amplification.},
year = {2020},
journal = {ACS Sensors},
author = {Zhao, Yansong and Lin, Chen and Wu, Pengcheng and Chen, Xiaoyuan and Zhao, Yuancun and Li, Yupeng and Chen, Lu and Nilsson, M. and Ke, Rongqin}
}
Abstract
Conventional flow cytometry has been widely used for high throughput single cell gene expression analysis using specific antibody staining. However, this is limited by the availability of high-quality antibodies. We developed a novel flow cytometry RNA detection technique termed RCA-Flow for single cell RNA expression analysis. We showed it is able to analyze not only mRNAs, but also microRNAs and circular RNAs that are otherwise difficult to be analyzed by other flow cytometry techniques. The versatility for high-throughput analysis of different types of RNA molecules makes our method possesses a great potential for both biomedical and clinical applications.
