The Power of Paired-Tag: Part 1
Single-Cell Joint Profiling of Histone Modifications and Gene Expression

1. The Importance of Joint Single-Cell Analysis
The identification of gene regulatory elements through the combination of epigenetic and transcriptomic profiling in single cells will improve our understanding of environmental contributions to disease and aging, identify new therapeutic targets for cancer Alzheimer’s disease, or metabolic disease and novel prognostic/diagnostic biomarkers, and clarify the genomic patterning underlying typical organism development. Next-generation sequencing-based techniques explore said profiles separately in bulk tissues; however, this lack of single-cell resolution may represent a barrier to collecting data from the small numbers of target cells present with the surrounding “uninvolved” cell types that comprise the majority of tissues.
Can the power of Paired-Tag (parallel analysis of individual cells for RNA expression and DNA from targeted tagmentation by sequencing) provide a solution to this problem?
2. Taking Epigenetic Profiling to Single-Cell Resolution
A team led by Bing Ren at the Ludwig Institute for Cancer Research/University of California San Diego reported that the Paired-Tag assay could generate cell-type-resolved epigenetic and transcriptomic maps in complex tissues by supporting the joint profiling of histone modifications and gene expression in single cells. We at Epigenome Technologies, under an exclusive license, now provide optimized Paired-Tag kits and services to researchers in the epigenetics field. Stay tuned for an upcoming article in this series that describes the recent application of Paired-Tag to support the single-cell epigenomic and transcriptomic analysis of the Alzheimer’s disease-affected human brain, which provides detailed insights into disease-associated molecular mechanisms.
Through a series of introductory articles, we now report on the vast potential of Epigenome Technologies’ single-cell profiling technology by discussing the Nature Methods and Nature Structural & Molecular Biology articles that helped to bring the only commercially available technology for joint profiling of histone modifications and gene expression in single cells to the market and then describing the most recent exciting applications.
How Paired-Tag Works
The Paired-Tag protocol has evolved significantly since the original publication of the article, and Single-Cell CUT&Tag versions (without RNA) are available as well. You can view our current protocols here.
Bringing CUT&Tag to Single-Cells
- Isolated nuclei are incubated with validated antibodies and highly-active targeted-tagmentation enzyme
- We maintain a curated list of single-cell capable antibodies (not all are!)
- We partner with EpiCypher to incorporate highly-active enzymes into our custom reagents
- The tagmentation reaction is performed in optimized conditions to minimize inserts at open chromatin
- Nuclei are isolated into micro-partitions (plates, microwells, or droplets) - compatible with leading platforms
- RT reactions are performed, and partition-specific barcodes appended to both scRNA and scCUT&Tag libraries
- The partitioning can be repeated (Split&Pool or OAK)

Paired-Tag Provides High Epigenetic Coverage of Mouse Brain Nuclei
- Accurate: Paired-Tag applied to adult mouse frontal cortex/hippocampus generated comparable results to bulk profiles.
- High-Yield: Paired-Tag generated ~20,000 unique loci mapped per nucleus for DNA profiles and ~15,000 unique molecular identifiers per nucleus for RNA profiles (85% assigned to genic regions)
- Best-in-Class Histone modification profiles display similar or higher numbers of unique loci captured per nucleus when compared to other single-cell histone modification profiling methods
- Good Recovery: The capture efficiency of nuclear RNA remained similar to other commonly implemented scRNA-seq assays
Cataloging the epigenetic diversity of brain cell populations
- The subsequent sequencing of ~70,000 mouse brain nuclei recovered 64,849 with matched DNA/RNA profiles
- RNA datasets possessed reads mapping to genic regions and captured more intronic reads than comparable techniques, with transcriptomic profiles clustering nuclei into groups indicative of 22 cell types
- Histone modification profiles also supported cell-type clustering, underscoring the encoding of gene expression in the overall epigenetic state as profiled by Paired-Tag
- As per the original observation from ENCODE, broad regions of repressive modifications can separate major classes of cells, while permissive modifications distinguish cell types and can “fine-tune” cell states
- Applying transcriptomic profiles supported the construction of genome-wide maps of five histone modification profiles in 22 mouse brain cell types