The catalytic domain of SETD1B regulates H3K4me3 breadth and Myc expression in MLL-r leukemia
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 53 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
- Homo sapiens (human)
- Samples
- 53 samples: 38 distinct titles, 9 of them repeatedGroups 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
- Regulation of H3K4me3 breadth and MYC expression by the SETD1B catalytic domain in MLL-rearranged leukemiaLeukemia · 2025
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 GSE248326_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 PRJNA1043212 and SRA study SRP473117. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 53 sample titles: 38 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.
- GSM7911502 MA9_FLT3ITD_Setd1b_WT_Emp_MYC_CT
- GSM7911503 MA9_FLT3ITD_Setd1b_dSET_Emp_H3K4me3
- GSM7911504 MA9_FLT3ITD_Setd1b_dSET_Myc_H3K4me3
- GSM7911533 FKBP-SETD1B
- GSM7911534 MA9_FLT3ITD_Setd1b_WT_NC_H3K4me3
- GSM7911535 MA9_FLT3ITD_Setd1b_WT_IL3_H3K4me3
- GSM7911536 MA9_FLT3ITD_Setd1b_dSET_NC_H3K4me3
- GSM7911537 MA9_FLT3ITD_Setd1b_dSET_IL3_H3K4me3
- GSM7911538 MA9_FLT3ITD_Setd1b_WT_Empty_H3K4me3
- GSM7911539 MA9_FLT3ITD_Setd1b_dSET_Empty_H3K4me3
- GSM7911540 MA9_FLT3ITD_Setd1b_dSET_Myc_H3K4me3
- GSM7911541 MA9_FLT3ITD_Setd1b_WT_Empty_RNA_pol2_Total
- GSM7911542 MA9_FLT3ITD_Setd1b_dSET_Empty_RNA_pol2_Total
- GSM7911543 MA9_FLT3ITD_Setd1b_dSET_Myc_RNA_pol2_Total
- GSM7911544 MA9_FLT3ITD_Setd1b_WT_Empty_RNA_pol2_S2P
- GSM7911545 MA9_FLT3ITD_Setd1b_dSET_Empty_RNA_pol2_S2P
- GSM7911546 MA9_FLT3ITD_Setd1b_dSET_Myc_RNA_pol2_S2P
- GSM7911557 MA9_FLT3ITD_Setd1b_WT_NC_rep1
- GSM7911558 MA9_FLT3ITD_Setd1b_WT_NC_rep2
- GSM7911559 MA9_FLT3ITD_Setd1b_WT_NC_rep3
- GSM7911560 MA9_FLT3ITD_Setd1b_dSET_NC_rep1
- GSM7911561 MA9_FLT3ITD_Setd1b_dSET_NC_rep2
- GSM7911562 MA9_FLT3ITD_Setd1b_dSET_NC_rep3
- GSM7911563 MA9_FLT3ITD_Setd1b_dSET_IL3_rep1
- GSM7911564 MA9_FLT3ITD_Setd1b_dSET_IL3_rep2
- GSM7911565 MA9_FLT3ITD_Setd1b_dSET_IL3_rep3
- GSM7911566 MA9_FLT3ITD_Setd1b_WT_Empty_rep1
- GSM7911567 MA9_FLT3ITD_Setd1b_WT_Empty_rep2
- GSM7911568 MA9_FLT3ITD_Setd1b_WT_Empty_rep3
- GSM7911569 MA9_FLT3ITD_Setd1b_dSET_Empty_rep1
- GSM7911570 MA9_FLT3ITD_Setd1b_dSET_Empty_rep2
- GSM7911571 MA9_FLT3ITD_Setd1b_dSET_Empty_rep3
- GSM7911572 MA9_FLT3ITD_Setd1b_dSET_Myc_rep1
- GSM7911573 MA9_FLT3ITD_Setd1b_dSET_Myc_rep2
- GSM7911574 MA9_FLT3ITD_Setd1b_dSET_Myc_rep3
- GSM8861883 MOLM13_sgAAVS_4d_H3K4me3
- GSM8861884 MOLM13_sgSETD1B_1_4d_H3K4me3
- GSM8861885 MOLM13_sgSETD1B_2_4d_H3K4me3
- GSM8861886 MOLM13_sgAAVS_4d_H3K36me3
- GSM8861887 MOLM13_sgSETD1B_1_4d_H3K36me3
+ 13 more — browse all 53 samples with per-sample file links →
- GSE309285 CK2-mediated DEK Phosphorylation Drives PBX3 Overexpression: A Core Event in Hematopoietic Stem Cell-to-Leukemia Stem Cell Transformation 53 samples shares leukemia
- GSE253753 Functional Characterization of Cooperating MGA Mutations in RUNX1::RUNX1T1 Acute Myeloid Leukemia 126 samples shares leukemia
- GSE295715 Leukemia-mutated proteins PHF6 and PHIP form a chromatin complex that represses acute myeloid leukemia stemness 90 samples shares leukemia
- GSE295436 Hepatic leukemia factor directs tissue residency of proinflammatory CD4+ T cells 22 samples shares leukemia
- GSE303605 Rbm5 Sustains Leukemia Stem Cells Through a Myc-driven Transcriptional Circuitry 15 samples shares leukemia
- GSE254616 The effect of TRAF6 loss on the gene expression profiles in leukemia cells 32 samples shares leukemia
- GSE278006 NK cell cytotoxicity shapes the clonal evolution of B cell leukemia [RNA-seq] 241 samples shares leukemia
- GSE261536 BPDCN MYB Fusions Regulate Cell Cycle Genes, Impair Differentiation and Induce Myeloid-Dendritic Cell Leukemia 124 samples shares leukemia
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.