转录组
染色质
仿形(计算机编程)
计算生物学
表观遗传学
RNA序列
计算机科学
生物
遗传学
基因
基因表达
DNA甲基化
操作系统
作者
Samuel H. Kim,Georgi K. Marinov,S. Tansu Bagdatli,Soon Il Higashino,Zohar Shipony,Anshul Kundaje,William J. Greenleaf
出处
期刊:Methods in molecular biology
日期:2022-10-03
卷期号:: 187-230
被引量:2
标识
DOI:10.1007/978-1-0716-2899-7_11
摘要
The ability to analyze the transcriptomic and epigenomic states of individual single cells has in recent years transformed our ability to measure and understand biological processes. Recent advancements have focused on increasing sensitivity and throughput to provide richer and deeper biological insights at the cellular level. The next frontier is the development of multiomic methods capable of analyzing multiple features from the same cell, such as the simultaneous measurement of the transcriptome and the chromatin accessibility of candidate regulatory elements. In this chapter, we discuss and describe SHARE-seq (Simultaneous high-throughput ATAC, and RNA expression with sequencing) for carrying out simultaneous chromatin accessibility and transcriptome measurements in single cells, together with the experimental and analytical considerations for achieving optimal results.
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