Chromatin accessibility profiling of high endothelial cells (HECs) from mouse peripheral lymph node and Peyer's patch by ATAC-seq
ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 2 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
- 2 samples: 2 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.
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 GSE342565_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 PRJNA1508208 and SRA study SRP724507. 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 2 sample titles: 2 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.
- GSM9932939 High endothelial cells from mouse peripheral lymph node, ATAC-seq
- GSM9932940 High endothelial cells from mouse Peyer's patch, ATAC-seq
- GSE264229 Mapping the male mouse chromatin accessibility landscape by UUATAC-seq 33 samples shares accessibility, chromatin, atac-seq
- GSE249077 Mapping the female mouse chromatin accessibility landscape by UUATAC-seq 23 samples shares accessibility, chromatin, atac-seq
- GSE216371 A single-cell atlas of chromatin accessibility in mouse organogenesis 68 samples shares accessibility, chromatin
- GSE294103 SIRT6 Overexpression Counteracts Chromatin Aging [ATAC-Seq_tg] 28 samples shares chromatin, atac-seq
- GSE246986 Ki67-mediated chromatin accessibility impedes B-cell antigen-receptor gene rearrangement 24 samples shares accessibility, chromatin
- GSE233039 The H3K9me3 heterochromatin integrity and function are sustained by H3K9me3 methyltransferases-HP1 dependencies [ATAC-Seq] 18 samples shares chromatin, atac-seq
- GSE263359 Chromatin Modification Abnormalities by CHD7 and KMT2C Loss Promote Medulloblastoma Progression [ATAC-seq] 11 samples shares chromatin, atac-seq
- GSE283483 Novel environment exposure drives temporally defined and region-specific chromatin accessibility and gene expression programs in the hippocampus 160 samples shares accessibility, chromatin
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.