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Series GSE155280 Query DataSets for GSE155280
Status Public on Nov 30, 2021
Title scChIX-seq infers dynamic relationships between histone modifications in single cells
Organism Mus musculus
Experiment type Other
Summary Regulation of chromatin states involves the dynamic interplay between different histone modifications to control gene expression. Recent advances have enabled mapping of histone marks in single cells, but most methods are constrained to profile only one histone mark per cell. Here we present an integrated experimental and computational framework, scChIX-seq (single-cell chromatin immunocleavage and unmixing), to map multiple histone marks in single cells. scChIX-seq multiplexes two histone marks together in single cells, then computationally deconvolves the signal using training data from respective histone mark profiles. This framework learns the cell type-specific correlation structure between histone marks, and therefore does not require a priori assumptions of their genomic distributions. Using scChIX-seq, we demonstrate multimodal analysis of histone marks in single cells across a range of mark combinations: two repressive marks, two active marks, and an active plus a repressive mark. In mouse gastrulation, we find that cell type-specific regulation in active chromatin can be accompanied by stable heterochromatin landscapes that are shared across cell types. Applying scChIX-seq to two active marks during macrophage differentiation, we find H3K4me1 dynamics preceding H3K36me3. Modeling these dynamics enables integrated analysis of chromatin velocity during differentiation. Overall, scChIX-seq unlocks systematic interrogation of the interplay between histone modifications in single cells.
 
Overall design single-cell ChIC-seq data on bone marrow, mouse gastrulation, and macrophage in vitro differentiation
 
Contributor(s) Yeung J, Florescu M, Zeller P, de Barbanson BA, Wellenstein MD, van Oudenaarden A
Citation(s) 36593403
Submission date Jul 28, 2020
Last update date Sep 08, 2023
Contact name Jake Yeung
E-mail(s) jakeyeung@gmail.com
Organization name Hubrecht Institute
Street address Uppsalalaan 8
City Utrecht
ZIP/Postal code 3584T
Country Netherlands
 
Platforms (1)
GPL19057 Illumina NextSeq 500 (Mus musculus)
Samples (33)
GSM4698440 bone marrow sorted fixed cells H3K9me3
GSM4698441 bone marrow sorted fixed cells H3K27me3
GSM4698442 bone marrow sorted fixed cells H3K9me3+H3K27me3
Relations
BioProject PRJNA649241
SRA SRP273961

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE155280_Cellbarcode_BI-tag_for_EtOH-fixed-sorted-celltypes.csv.gz 1.5 Kb (ftp)(http) CSV
GSE155280_RAW.tar 100.2 Gb (http)(custom) TAR (of BAM, BW, CSV, TXT)
GSE155280_gastrulation_and_macrophage_processed_data_file_description.txt.gz 757 b (ftp)(http) TXT
GSE155280_scChIX_gastrulation_H3K36me3_and_H3K9me3_metadata_final.txt.gz 134.9 Kb (ftp)(http) TXT
GSE155280_scChIX_gastrulation_K36_LDA_projection_output.RData.gz 21.6 Mb (ftp)(http) RDATA
GSE155280_scChIX_gastrulation_K9m3_LDA_projection_output.RData.gz 29.3 Mb (ftp)(http) RDATA
GSE155280_scChIX_gastrulation_double_cell_assignment.txt.gz 168.7 Kb (ftp)(http) TXT
GSE155280_scchix_macrophage_differentiation_count_mat.H3K36me3.txt.gz 3.5 Mb (ftp)(http) TXT
GSE155280_scchix_macrophage_differentiation_count_mat.H3K4me1-H3K36me3.txt.gz 3.4 Mb (ftp)(http) TXT
GSE155280_scchix_macrophage_differentiation_count_mat.H3K4me1.txt.gz 4.8 Mb (ftp)(http) TXT
GSE155280_scchix_macrophage_differentiation_dat_meta_merged_H3K4me1_and_H3K36me3.txt.gz 268.6 Kb (ftp)(http) TXT
GSE155280_scchix_macrophage_differentiation_lda_projection.H3K36me3.RData.gz 32.1 Mb (ftp)(http) RDATA
GSE155280_scchix_macrophage_differentiation_lda_projection.H3K4me1.RData.gz 51.0 Mb (ftp)(http) RDATA
GSE155280_scchix_macrophage_differentiation_pseudotime_inference.H3K4me1_and_H3K36me3.txt.gz 47.1 Kb (ftp)(http) TXT
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Raw data are available in SRA
Processed data provided as supplementary file
Processed data are available on Series record

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