SCOPE-Seq: a scalable technology for linking live cell imaging and single-cell RNA sequencing
Year: 2018
Type: article
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.
Source: Genome biology
Authors: Jinzhou Yuan, Jenny Sheng, Peter A. Sims
Institution: Columbia University Irving Medical Center
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $5,490
Awards: Large-Scale Integration of Single Cell RNA-Seq and High-Content Imaging for Analyzing Drug Response in Cancer, Centers for Cancer Systems Therapeutics (CaST), A Microfluidic System for Image-Guided RNA-Seq of Single Cells in Glioblastoma, Systematic Identification and Pharmacological Targeting of Tumor Dependencies for Precision Cancer Medicine
OpenAlex ID: W2906427371