Profiling single-cell histone modifications using indexing chromatin immunocleavage sequencing.
Wai Lim KuLixia PanYaqiang CaoWeiwu GaoKeji ZhaoPublished in: Genome research (2021)
Recently, multiple single-cell assays were developed for detecting histone marks at the single-cell level. These techniques are either limited by the low cell throughput or sparse reads which limit their applications. To address these problems, we introduce indexing single-cell immunocleavage sequencing (iscChIC-seq), a multiplex indexing method based on TdT terminal transferase and T4 DNA ligase-mediated barcoding strategy and single-cell ChIC-seq, which is capable of readily analyzing histone modifications across tens of thousands of single cells in one experiment. Application of iscChIC-seq to profiling H3K4me3 and H3K27me3 in human white blood cells (WBCs) enabled successful detection of more than 10,000 single cells for each histone modification with 11 K and 45 K nonredundant reads per cell, respectively. Cluster analysis of these data allowed identification of monocytes, T cells, B cells, and NK cells from WBCs. The cell types annotated from H3K4me3 single-cell data are specifically correlated with the cell types annotated from H3K27me3 single-cell data. Our data indicate that iscChIC-seq is a reliable technique for profiling histone modifications in a large number of single cells, which may find broad applications in studying cellular heterogeneity and differentiation status in complex developmental and disease systems.
Keyphrases
- single cell
- rna seq
- high throughput
- induced apoptosis
- cell cycle arrest
- dna methylation
- electronic health record
- big data
- oxidative stress
- endoplasmic reticulum stress
- endothelial cells
- cell death
- transcription factor
- deep learning
- immune response
- cell proliferation
- single molecule
- dendritic cells
- peripheral blood
- data analysis
- nk cells
- nucleic acid