SCOPE-Seq: a scalable technology for linking live cell imaging and single-cell RNA sequencing |
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Authors: | Jinzhou Yuan Jenny Sheng Peter A Sims |
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Institution: | 1.Department of Systems Biology,Columbia University Irving Medical Center,New York,USA;2.Integrated Program in Cellular, Molecular, and Biomedical Studies,Columbia University Irving Medical Center,New York,USA;3.Department of Biochemistry & Molecular Biophysics,Columbia University Irving Medical Center,New York,USA;4.Sulzberger Columbia Genome Center,Columbia University Irving Medical Center,New York,USA |
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Abstract: | Optically decodable beads link the identity of a sample to a measurement through an optical barcode, enabling libraries of biomolecules to be captured on beads in solution and decoded by fluorescence. This approach has been foundational to microarray, sequencing, and flow-based expression profiling technologies. We combine microfluidics with optically decodable beads and show that phenotypic analysis of living cells can be linked to single-cell sequencing. As a proof-of-concept, we demonstrate the accuracy and scalability of our tool called Single Cell Optical Phenotyping and Expression sequencing (SCOPE-Seq) to combine live cell imaging with single-cell RNA sequencing. |
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