IRF2BP2 counteracts the ATF7/JDP2 heterodimer to prevent inflammatory overactivation in AML cells [ChIP-seq]
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 15 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
- 15 samples: 15 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
- IRF2BP2 counteracts the ATF7/JDP2 AP-1 heterodimer to prevent inflammatory overactivation in acute myeloid leukemia (AML) cellsNucleic acids research · 2024
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 GSE229594_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 PRJNA955115 and SRA study SRP432415. 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 15 sample titles: 15 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.
- GSM7165927 ChIP-Seq WT IgG
- GSM7165928 ChIP-Seq WT IRF2BP2
- GSM7165929 ChIP-Seq WT IgG (repl1)
- GSM7165930 ChIP-Seq WT IRF2BP2 (repl1)
- GSM7165931 ChIP-Seq WT ATF7 (repl1)
- GSM7165932 ChIP-Seq ATF7KO IRF2BP2 (repl1)
- GSM7165933 ChIP-Seq ATF7KO ATF7 (repl1)
- GSM7165934 ChIP-Seq JDP2KO IRF2BP2 (repl1)
- GSM7165935 ChIP-Seq JDP2KO ATF7 (repl1)
- GSM7865247 ChIP-Seq WT IRF2BP2 (repl2)
- GSM7865248 ChIP-Seq WT ATF7 (repl2)
- GSM7865249 ChIP-Seq ATF7KO IRF2BP2 (repl2)
- GSM7865250 ChIP-Seq ATF7KO ATF7 (repl2)
- GSM7865251 ChIP-Seq JDP2KO IRF2BP2 (repl2)
- GSM7865252 ChIP-Seq JDP2KO ATF7 (repl2)
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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.