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Single-nuclei RNA-seq on human retinal tissue provides improved transcriptome profiling
Single-nuclei RNA-seq on human retinal tissue provides improved transcriptome profiling
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Single-nuclei RNA-seq on human retinal tissue provides improved transcriptome profiling
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Single-nuclei RNA-seq on human retinal tissue provides improved transcriptome profiling
Single-nuclei RNA-seq on human retinal tissue provides improved transcriptome profiling

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Single-nuclei RNA-seq on human retinal tissue provides improved transcriptome profiling
Single-nuclei RNA-seq on human retinal tissue provides improved transcriptome profiling
Journal Article

Single-nuclei RNA-seq on human retinal tissue provides improved transcriptome profiling

2019
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Overview
Single-cell RNA-seq is a powerful tool in decoding the heterogeneity in complex tissues by generating transcriptomic profiles of the individual cell. Here, we report a single-nuclei RNA-seq (snRNA-seq) transcriptomic study on human retinal tissue, which is composed of multiple cell types with distinct functions. Six samples from three healthy donors are profiled and high-quality RNA-seq data is obtained for 5873 single nuclei. All major retinal cell types are observed and marker genes for each cell type are identified. The gene expression of the macular and peripheral retina is compared to each other at cell-type level. Furthermore, our dataset shows an improved power for prioritizing genes associated with human retinal diseases compared to both mouse single-cell RNA-seq and human bulk RNA-seq results. In conclusion, we demonstrate that obtaining single cell transcriptomes from human frozen tissues can provide insight missed by either human bulk RNA-seq or animal models. The retina is a heterogeneous tissue composed of multiple cell types. Via single-nuclei RNA sequencing on human neural retinal tissue, the authors characterise the transcriptome profile for individual cell types in the human retina.