Abstract
Single-cell RNA sequencing (scRNA-seq) is an emerging technology that can address the challenge of cellular heterogeneity. In the last decade, the cost per cell has been dramatically reduced, and the throughput has been increased by 104-fold. Like many other tissues, the retina is highly heterogeneous with an estimated of over 100 subtypes of neuronal cells. Here, we describe the current techniques to perform scRNA-seq on the adult retinal tissue including retinal dissection, retinal dissociation, assessment of cell population, cDNA synthesis, library construction, and next-generation sequencing. In addition, we introduce a workflow of scRNA-seq data analysis using open-source tools.
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Dharmat, R., Kim, S., Li, Y., Chen, R. (2020). Single-Cell Capture, RNA-seq, and Transcriptome Analysis from the Neural Retina. In: Mao, CA. (eds) Retinal Development. Methods in Molecular Biology, vol 2092. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-0175-4_12
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DOI: https://doi.org/10.1007/978-1-0716-0175-4_12
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