Title | Single-Cell Capture, RNA-seq, and Transcriptome Analysis from the Neural Retina. |
Publication Type | Journal Article |
Year of Publication | 2020 |
Authors | Dharmat, R, Kim, S, Li, Y, Chen, R |
Journal | Methods Mol Biol |
Volume | 2092 |
Pagination | 159-186 |
Date Published | 2020 |
ISSN | 1940-6029 |
Keywords | Data Analysis, DNA, Complementary, Gene Expression Profiling, High-Throughput Nucleotide Sequencing, Humans, Retina, RNA, RNA, Small Cytoplasmic, RNA-Seq, Sequence Analysis, RNA, Single-Cell Analysis, Transcriptome |
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 10-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. |
DOI | 10.1007/978-1-0716-0175-4_12 |
Alternate Journal | Methods Mol Biol |
PubMed ID | 31786788 |
Single-Cell Capture, RNA-seq, and Transcriptome Analysis from the Neural Retina.
Similar Publications
Deep sequencing of candidate genes identified 14 variants associated with smoking abstinence in an ethnically diverse sample. Sci Rep. 2024;14(1):6385. | .
FAIR Header Reference genome: a TRUSTworthy standard. Brief Bioinform. 2024;25(3). | .
Gut Microbiota and Blood Metabolites Related to Fiber Intake and Type 2 Diabetes. Circ Res. 2024;134(7):842-854. | .