Phillips, J., P. Jiang, P. Barney, J. Min, S. Jain, T. Tabassum, K. Barlow, J. Thomson, and D. Gamm. A Simple Approach to Single Cell RNAseq Analysis Facilitates Virtual Cell Sorting of Retinal Cell Subtypes Derived from Human Pluripotent Stem Cells. Investigative Ophthalmology & Visual Science, 2017, p. Epub Full Text.
Abstract
Purpose
To probe the authenticity of human pluripotent stem cell (hPSC)-derived photoreceptors (PRs) and other retinal subtypes generated within 3D hPSC-optic vesicle (OV) like structures using single cell RNA-seq (scRNAseq) analysis. While scRNAseq provides a powerful tool to profile individual cell gene expression, the datasets are challenging to interpret, particularly when profiling heterogenous cell populations. Thus, we sought to develop a straightforward strategy to mine scRNAseq data to extract reliable information on the multitude of cell populations in differentiating hPSC-OVs.