Functional Comparison to Ezh2 Reveals PRC2-Independent Functions of Jarid2 in Hematopoietic Stem Cell Lineage Commitment
ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 23 samples
- What it is
- ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
- Organism
- Mus musculus (mouse)
- Samples
- 23 samples: 23 samples, each with a distinct title — no replicated groupsGroups are read from the sample names, not from the paper. Check the list below.
- Data you can get
- A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
- Paper
- Comparison with Ezh2 reveals the PRC2-dependent functions of Jarid2 in hematopoietic stem Cell lineage commitmentStem cell reports · 2026
Read the full summary ↓
Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.
Processed table
The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE302605_RAW.tar (it can run to tens of gigabytes).
Raw sequencing reads
The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.
What the files usually look like: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.
Also filed as BioProject PRJNA1291502 and SRA study SRP600896. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 23 sample titles: 23 distinct titles with little repetition. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.
- GSM9107458 Single_Cell_RNA_seq_500K_WBM_1TX-Control_KSL_Cells
- GSM9107459 Single_Cell_RNA_seq_500K_WBM_1TX-Ezh2_KO_1_KSL_Cells
- GSM9107460 Single_Cell_RNA_seq_500K_WBM_1TX-Ezh2_KO_2_KSL_Cells
- GSM9107461 Single_Cell_RNA_seq_500K_WBM_1TX-Jarid2_KO_1_KSL_Cells
- GSM9107462 Single_Cell_RNA_seq_500K_WBM_1TX-Jarid2_KO_2_KSL_Cells
- GSM9107463 Single_Cell_multi-omics_seq_GEX_baseline-Control_Male_KSL_Cells
- GSM9107464 Single_Cell_multi-omics_seq_ADT_baseline-Control_Male_KSL_Cells
- GSM9107465 Single_Cell_multi-omics_seq_GEX_baseline-Control_Female_KSL_Cells
- GSM9107466 Single_Cell_multi-omics_seq_ADT_baseline-Control_Female_KSL_Cells
- GSM9107467 Single_Cell_multi-omics_seq_GEX_baseline-Control_Jarid2_KO_Male_KSL_Cells
- GSM9107468 Single_Cell_multi-omics_seq_ADT_baseline-Control_Jarid2_KO_Male_KSL_Cells
- GSM9107469 Single_Cell_multi-omics_seq_GEX_baseline-Control_Jarid2_KO_Female_KSL_Cells
- GSM9107470 Single_Cell_multi-omics_seq_ADT_baseline-Control_Jarid2_KO_Female_KSL_Cells
- GSM9107471 Single_Cell_multi-omics_seq_GEX_baseline-Control_Ezh2_KO_Male_KSL_Cells
- GSM9107472 Single_Cell_multi-omics_seq_ADT_baseline-Control_Ezh2_KO_Male_KSL_Cells
- GSM9107473 Single_Cell_multi-omics_seq_GEX_baseline-Control_Ezh2_KO_Female_KSL_Cells
- GSM9107474 Single_Cell_multi-omics_seq_ADT_baseline-Control_Ezh2_KO_Female_KSL_Cells
- GSM9292645 H3K27me3_3 million_WBM_2TX_Control_1_KSL_Cells
- GSM9292646 H3K27me3_3 million_WBM_2TX_Control_2_KSL_Cells
- GSM9292647 H3K27me3_3 million_WBM_2TX_Jarid2_KO_1_KSL_Cells
- GSM9292648 H3K27me3_3 million_WBM_2TX_Jarid2_KO_2_KSL_Cells
- GSM9292649 H3K27me3_3 million_WBM_2TX_Ezh2_KO_1_KSL_Cells
- GSM9292650 H3K27me3_3 million_WBM_2TX_Ezh2_KO_2_KSL_Cells
- GSE286457 The conserved N-terminal SANT1-binding domain (SBD) of EZH2 Regulates PRC2 Activity [MTF2-JARID2] 15 samples shares jarid2, ezh2
- GSE272588 Multipotent progenitors with distinct origins, clonal lineage fates, transcriptomes, and surface markers yield two hematopoietic trees 605 samples shares hematopoietic, lineage
- GSE278208 STING Mediates Increased Self-Renewal and Lineage Skewing in DNMT3A-Mutated Hematopoietic Stem/Progenitor Cells 40 samples shares hematopoietic, lineage
- GSE293107 SKIDA1 transiently sustains MLL::ENL-Expressing hematopoietic progenitors during neonatal stages and promotes B-lineage priming [RNA-Seq] 24 samples shares hematopoietic, lineage
- GSE310548 Distinct contributions of Etv2+ and Flk1+ progenitors to endothelial, hematopoietic, and cardiac lineages [RNA-seq] 21 samples shares hematopoietic, lineage
- GSE288012 Genome-wide screen identifies Runx2 as a novel regulator of hematopoietic stem cell expansion and T-cell commitment 20 samples shares hematopoietic, commitment
- GSE222941 Endomucin marks quiescent long-term multi-lineage repopulating hematopoietic stem cells and is essential for their transendothelial migration [RNA-seq: wildtype_EMCN] 11 samples shares hematopoietic, lineage
- GSE214191 Oxidative Stress Converts Benign Lesions to Cancer via a Self-Amplifying NRF2-EZH2 Loop 63 samples shares ezh2
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.