Year: 2020
Type: article
Abstract: Single-cell RNA sequencing has emerged as a powerful tool for characterizing cells, but not all phenotypes of interest can be observed through changes in gene expression. Linking sequencing with optical analysis has provided insight into the molecular basis of cellular function, but current approaches have limited throughput. Here, we present a high-throughput platform for linked optical and gene expression profiling of single cells. We demonstrate accurate fluorescence and gene expression measurements on thousands of cells in a single experiment. We use the platform to characterize DNA and RNA changes through the cell cycle and correlate antibody fluorescence with gene expression. The platform's ability to isolate rare cell subsets and perform multiple measurements, including fluorescence and sequencing-based analysis, holds potential for scalable multi-modal single-cell analysis.
Source: Genome biology
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $4,990
Awards: G3961187536, Accurate and unbiased single cell sequencing with digital droplet MDA, CAREER: Massively-parallel single-cell genomics and transcriptomics with droplet microfluidics, G549111027, G578441012, Microfluidic immunoprofiling for biomarker discovery in rheumatoid arthritis, Center for cellular construction
OpenAlex ID: W3012809091