Human myeloid ontogeny drives differentiation potential in the brain environment.
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 105 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
- 105 samples: 29 conditions, mostly in duplicateGroups 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
- Global human myeloid replacement with peripheral progenitors induces interferonopathy and neurodegenerationResearch square · 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 GSE307264_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 PRJNA1315034 and SRA study SRP724886. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 105 samples.
How we read this: 29 replicated groups read from 107 sample titles; they account for 105 of them. 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.
- GSM9044752 ec11_brain1 ec11_brain
- GSM9044753 ec11_brain2 ec11_brain
- GSM9044754 ec11_brain3 ec11_brain
- GSM9044755 ec11_brain4 ec11_brain
- GSM9044756 ec11_brain5 ec11_brain
- GSM9044757 ec11_brain6 ec11_brain
- GSM9044758 ec11_periphery1 ec11_periphery
- GSM9044759 ec11_periphery2 ec11_periphery
- GSM9044760 ec11_periphery3 ec11_periphery
- GSM9044761 ec11_periphery4 ec11_periphery
- GSM9044762 ec11_periphery5 ec11_periphery
- GSM9044763 ec11_periphery6 ec11_periphery
- GSM9044764 CD34_brain1 CD34_brain
- GSM9044765 CD34_brain2 CD34_brain
- GSM9044766 CD34_brain3 CD34_brain
- GSM9044767 CD34_brain4 CD34_brain
- GSM9044768 CD34_brain5 CD34_brain
- GSM9044769 CD34_brain6 CD34_brain
- GSM9044770 monocytes_brain1 monocytes_brain
- GSM9044771 monocytes_brain2 monocytes_brain
- GSM9044772 monocytes_brain3 monocytes_brain
- GSM9044773 monocytes_brain4 monocytes_brain
- GSM9044774 monocytes_brain5 monocytes_brain
- GSM9044775 monocytes_brain6 monocytes_brain
- GSM9044776 monocytes_brain7 monocytes_brain
- GSM9044777 CD34_periphery1 CD34_periphery
- GSM9044778 CD34_periphery2 CD34_periphery
- GSM9044779 CD34_periphery3 CD34_periphery
- GSM9044780 CD34_periphery4 CD34_periphery
- GSM9044781 CD34_periphery5 CD34_periphery
- GSM9044782 CD34_periphery6 CD34_periphery
- GSM9044783 monocytes_periphery1 monocytes_periphery
- GSM9044784 monocytes_periphery2 monocytes_periphery
- GSM9044785 monocytes_periphery3 monocytes_periphery
- GSM9044786 monocytes_periphery4 monocytes_periphery
- GSM9044787 monocytes_periphery5 monocytes_periphery
- GSM9044788 monocytes_periphery6 monocytes_periphery
- GSM9220127 CD34_CNS_MG1 CD34_CNS_MG
- GSM9220128 CD34_CNS_MG2 CD34_CNS_MG
- GSM9220129 CD34_CNS_MG3 CD34_CNS_MG
+ 65 more — browse all 105 samples with per-sample file links →
- GSE322964 Single cell and spatial sequencing analysis of cancer associated fibroblasts in the brain metastasis tumor microenvironment [Multiome] 22 samples shares environment, brain
- GSE291804 Multi-omics analysis of brain metastasis elucidates obesity induced prostaglandin crosstalk in tumor microenvironment restrain CD8T cell expansion 18 samples shares environment, brain
- GSE334112 Reversible epiblast regionalisation determines differentiation potential of human PSCs [ATAC-seq] 38 samples shares potential
- GSE262419 Informing Hazard Identification and Risk Characterization of Environmental Chemicals by Combining Transcriptomic and Functional Data from Human Induced Pluripotent Stem Cell-Derived Cardiomyocytes 4558 samples shares environment
- GSE241581 DCAF15 control of cohesin dynamics sustains acute myeloid leukemia 36 samples shares myeloid
- GSE300595 Multiomic sequencing identifies myeloid cell associations with neoadjuvant chemotherapy treatment response in pancreatic adenocarcinoma (PDAC) 24 samples shares myeloid
- GSE324154 Therapy Induced Senescence Promotes Immunogenicity in Acute Myeloid Leukemia through Reduced EZH2 Activity 22 samples shares myeloid
- GSE268953 Cellular senescence in skeletal muscle aging: new mechanisms and therapeutic potential for sarcopenia [snMultiome_ATAC+GEX] 20 samples shares potential
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.