转录组
RNA序列
视网膜
工作流程
人口
视网膜
计算生物学
细胞
核糖核酸
生物
神经科学
计算机科学
遗传学
基因
基因表达
数据库
人口学
社会学
生物化学
作者
Rachayata Dharmat,Sangbae Kim,Yumei Li,Rui Chen
出处
期刊:Methods in molecular biology
日期:2019-12-01
卷期号:: 159-186
被引量:8
标识
DOI:10.1007/978-1-0716-0175-4_12
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI