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Series GSE179756 Query DataSets for GSE179756
Status Public on Sep 14, 2022
Title Multifactorial chromatin regulatory landscapes at single cell resolution
Organisms Homo sapiens; Mus musculus
Experiment type Genome binding/occupancy profiling by high throughput sequencing
Summary Chromatin profiling at locus resolution uncovers gene regulatory features that define cell types and developmental trajectories, but it remains challenging to map and compare distinct chromatin-associated proteins within the same sample. Here we describe a scalable antibody barcoding approach for profiling multiple chromatin features simultaneously in the same individual cells, Multiple Target Identification by Tagmentation (MulTI-Tag). MulTI-Tag is optimized to retain high sensitivity and specificity of enrichment for multiple chromatin targets in the same assay. We use MulTI-Tag to resolve distinct cell types using multiple chromatin features on a commercial single-cell platform, and to distinguish unique, coordinated patterns of active and repressive element regulatory usage in the same individual cells. Multifactorial profiling has allowed us to detect novel associations between histone marks in single cells and holds promise for comprehensively characterizing cell-specific gene regulatory landscapes in development and disease.
Overall design We used Multiple Target Identification by Tagmentation (MulTI-Tag) to produce libraries for paired-end DNA sequencing.
Contributor(s) Meers MP, Janssens DH, Henikoff S
Citation(s) 36316484
Submission date Jul 08, 2021
Last update date Dec 14, 2022
Contact name Jorja Henikoff
Phone 206-667-4850
Organization name Fred Hutchinson Cancer Research Center
Department Basic Sciences
Lab Henikoff
Street address 1100 Fairview AV N, A1-162
City Seattle
State/province WA
ZIP/Postal code 98109-1024
Country USA
Platforms (3)
GPL16791 Illumina HiSeq 2500 (Homo sapiens)
GPL18573 Illumina NextSeq 500 (Homo sapiens)
GPL22245 Illumina HiSeq 2500 (Homo sapiens; Mus musculus)
Samples (171)
GSM5432797 K562_K27_CUTnTag_comb_(20190716_MM_Hs_MPM1074K27)
GSM5432798 K562_K27_CUTnTag_indiv_(20190716_MM_Hs_MPM1069)
GSM5432799 K562_K27_CUTnTag_seq_(20190716_MM_Hs_MPM1073K27)
BioProject PRJNA744912
SRA SRP327528

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Supplementary file Size Download File type/resource
GSE179756_CnT_Protocols_io_v2.pdf 403.1 Kb (ftp)(http) PDF
GSE179756_RAW.tar 3.7 Gb (http)(custom) TAR (of BEDGRAPH, BW)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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