high-throughput-yeast-strain-phenotyping-with-droplet-based-rna

High Throughput Yeast Strain Phenotyping with Droplet-Based RNA Sequencing

The powerful tools available to edit yeast genomes have made this microbe a valuable platform for engineering. While it is now possible to construct ...

University of California San Francisco

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.

Jesse Q. Zhang

Department of Bioengineering and Therapeutic Sciences,
University of California Berkeley-UCSF Graduate Program in Bioengineering

University of California San Francisco

High Throughput Yeast Strain Phenotyping with Droplet-Based RNA Sequencing

Jesse Q. Zhang

.css-o250i3{font-size:18px;font-family:Open Sans,sans-serif;line-height:21.6px;}Department of Bioengineering and Therapeutic Sciences,University of California Berkeley-UCSF Graduate Program in Bioengineering

University of California San Francisco

High Throughput Yeast Strain Phenotyping with Droplet-Based RNA Sequencing

Department of Bioengineering and Therapeutic Sciences,
University of California Berkeley-UCSF Graduate Program in Bioengineering