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Abstract
ScRNA-seq has the ability to reveal accurate and precise cell types and states. Existing scRNA-seq platforms utilize bead-based technologies uniquely barcoding individual cells, facing practical challenges for precious samples with limited cell number. Here, we present a scRNA-seq platform, named Paired-seq, with high cells/beads utilization efficiency, cell-free RNAs removal capability, high gene detection ability and low cost. We utilize the differential flow resistance principle to achieve single cell/barcoded bead pairing with high cell utilization efficiency (95%). The integration of valves and pumps enables the complete removal of cell-free RNAs, efficient cell lysis and mRNA capture, achieving highest mRNA detection accuracy (R = 0.955) and comparable sensitivity. Lower reaction volume and higher mRNA capture and barcoding efficiency significantly reduce the cost of reagents and sequencing. The single-cell expression profile of mES and drug treated cells reveal cell heterogeneity, demonstrating the enormous potential of Paired-seq for cell biology, developmental biology and precision medicine.
Single-cell RNA-seq can reveal accurate and precise cell types and states. Here the authors present an scRNA-seq platform, Paired-seq, which uses differential flow resistance to achieve 95% cell utilisation efficiency for improved cell-free RNA removal and gene detection.
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1 State Key Laboratory of Physical Chemistry of Solid Surfaces, The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, Key Laboratory for Chemical Biology of Fujian Province, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, P. R. China (GRID:grid.12955.3a) (ISNI:0000 0001 2264 7233)
2 State Key Laboratory of Physical Chemistry of Solid Surfaces, The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, Key Laboratory for Chemical Biology of Fujian Province, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, P. R. China (GRID:grid.12955.3a) (ISNI:0000 0001 2264 7233); Stanford University, Department of Chemistry, Stanford, USA (GRID:grid.168010.e) (ISNI:0000000419368956)
3 Hangzhou Weizhu Biological Technology Co., Ltd, Hangzhou, China (GRID:grid.12955.3a)
4 Institute of Molecular Medicine, State Key Laboratory of Oncogenes and Related Genes, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China (GRID:grid.16821.3c) (ISNI:0000 0004 0368 8293)
5 Translational Genomics Research Institute, Molecular Medicine Division, Phoenix, USA (GRID:grid.250942.8) (ISNI:0000 0004 0507 3225); Hunan People’s Hospital, Hunan Provincial Key Lab of Emergency and Critical Care, Changsha, China (GRID:grid.250942.8)
6 Stanford University, Department of Chemistry, Stanford, USA (GRID:grid.168010.e) (ISNI:0000000419368956)
7 State Key Laboratory of Physical Chemistry of Solid Surfaces, The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, Key Laboratory for Chemical Biology of Fujian Province, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, P. R. China (GRID:grid.12955.3a) (ISNI:0000 0001 2264 7233); Institute of Molecular Medicine, State Key Laboratory of Oncogenes and Related Genes, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China (GRID:grid.16821.3c) (ISNI:0000 0004 0368 8293)