Open AccessSimultaneous Profiling of Gene Expression and Chromatin Accessibility in Single Cells
Author(s) -
Reyes Miguel,
Billman Kianna,
Hacohen Nir,
Blainey Paul C.
Publication year - 2019
Publication title -
advanced biosystems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.153
H-Index - 18
ISSN - 2366-7478
DOI - 10.1002/adbi.201900065
Subject(s) - profiling (computer programming) , gene expression profiling , computational biology , chromatin , computer science , workflow , gene expression , biology , gene , genetics , database , operating system
Profiling multiple omic layers in a single cell enables the discovery and analysis of biological phenomena that are not apparent from analysis of mono‐omic data. While methods for multiomic profiling have been reported, their adoption has been limited due to high cost and complex workflows. Here, a simple method for joint profiling of gene expression and chromatin accessibility in tens to hundreds of single cells is presented. Assessed herein is the quality of resulting single cell ATAC‐ and RNA‐seq data across three cell types, examining the link between accessibility and expression at the CD3G and FTH1 loci in human primary T cells and monocytes, and comparing the accuracy of clustering solutions for mono‐omic and combined data. The new method allows biological laboratories to perform simultaneous profiling of gene expression and chromatin accessibility using standard reagents and instrumentation. This technique, in conjunction with other advances in multiomic profiling, will enable highly resolved cell state classification and more specific mechanistic hypothesis generation than is possible with mono‐omic analysis.