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| Status |
Public on Dec 14, 2020 |
| Title |
Profiling single-cell histone modifications using indexing chromatin immunocleavage sequencing |
| Organism |
Homo sapiens |
| Experiment type |
Genome binding/occupancy profiling by high throughput sequencing
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| Summary |
Recently, multiple single cell assays were developed for detecting histone marks at the single cell levels. 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 11K and 45K non-redundant 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.
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| Overall design |
Profiling genome-wide H3K4me3 with multiplex indexing tecnique at the single cell level
Please note that processed data have been updated on Feb 26, 2021.
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| Contributor(s) |
Ku WL, Pan L, Zhao K |
| Citation(s) |
33853847 |
| Submission date |
Nov 01, 2019 |
| Last update date |
Oct 13, 2021 |
| Contact name |
Keji Zhao |
| E-mail(s) |
zhaok@nhlbi.nih.gov
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| Organization name |
national Institute of Health
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| Department |
National Heart, Lung, and Blood Institute
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| Street address |
Building 10 Room 7B06A
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| City |
Bethesda |
| State/province |
MD |
| ZIP/Postal code |
20814 |
| Country |
USA |
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| Platforms (1) |
| GPL21290 |
Illumina HiSeq 3000 (Homo sapiens) |
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| Samples (960)
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| Relations |
| BioProject |
PRJNA587152 |
| SRA |
SRP227999 |
| Supplementary file |
Size |
Download |
File type/resource |
| GSE139857_K4_K27_bivalent_domain.txt.gz |
181.4 Kb |
(ftp)(http) |
TXT |
| GSE139857_barcode_96.txt.gz |
366 b |
(ftp)(http) |
TXT |
| GSE139857_combined_sicer_E100_peaks.sort.merge.txt.gz |
517.6 Kb |
(ftp)(http) |
TXT |
| GSE139857_peakname3.txt.gz |
362.8 Kb |
(ftp)(http) |
TXT |
| GSE139857_scH3K4me3_7798_cell_counts_at_WBCpeaks.txt.gz |
23.3 Mb |
(ftp)(http) |
TXT |
| GSE139857_scK27_4lanes_rc_at_25951_bipeaks.txt.gz |
28.7 Mb |
(ftp)(http) |
TXT |
| GSE139857_scK27_4lanes_rc_at_79100peaks_width10k.txt.gz |
113.4 Mb |
(ftp)(http) |
TXT |
| GSE139857_scK4_rc_at_25951_bipeaks.txt.gz |
12.4 Mb |
(ftp)(http) |
TXT |
SRA Run Selector |
| Raw data are available in SRA |
| Processed data are available on Series record |
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