p300 catalytic inhibition selectively targets IRF4 oncogenic activity in multiple myeloma
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 164 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)
- Topic
- Multiple myelomaThis series is part of our curated briefing on it.
- Samples
- 164 samples: 60 conditions, mostly in triplicateGroups 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
- Catalytic Inhibition of p300 Preferentially Targets IRF4 Oncogenic Activity and Tumor Growth in Multiple MyelomaCancer research · 2026
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 GSE307536_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 PRJNA1321942 and SRA study SRP525907. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 158 samples.
How we read this: 60 replicated groups read from 164 sample titles; they account for 158 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.
- GSM8453310 MM1S_DMSO_H3K18ac_rep1 MM1S_DMSO_H3K18ac
- GSM8453311 MM1S_DMSO_H3K18ac_rep2 MM1S_DMSO_H3K18ac
- GSM8453312 MM1S_KB528_1Hr_H3K18ac_rep1 MM1S_KB528_1Hr_H3K18ac
- GSM8453313 MM1S_KB528_1Hr_H3K18ac_rep2 MM1S_KB528_1Hr_H3K18ac
- GSM8453314 MM1S_KB528_3Hr_H3K18ac_rep1 MM1S_KB528_3Hr_H3K18ac
- GSM8453315 MM1S_KB528_3Hr_H3K18ac_rep2 MM1S_KB528_3Hr_H3K18ac
- GSM8453316 MM1S_KB528_6Hr_H3K18ac_rep1 MM1S_KB528_6Hr_H3K18ac
- GSM8453317 MM1S_KB528_6Hr_H3K18ac_rep2 MM1S_KB528_6Hr_H3K18ac
- GSM8453318 MM1S_KB528_24Hr_H3K18ac_rep1 MM1S_KB528_24Hr_H3K18ac
- GSM8453319 MM1S_KB528_24Hr_H3K18ac_rep2 MM1S_KB528_24Hr_H3K18ac
- GSM8453320 MM1S_DMSO_H3K27ac_rep1 MM1S_DMSO_H3K27ac
- GSM8453321 MM1S_DMSO_H3K27ac_rep2 MM1S_DMSO_H3K27ac
- GSM8453322 MM1S_KB528_1Hr_H3K27ac_rep1 MM1S_KB528_1Hr_H3K27ac
- GSM8453323 MM1S_KB528_1Hr_H3K27ac_rep2 MM1S_KB528_1Hr_H3K27ac
- GSM8453324 MM1S_KB528_3Hr_H3K27ac_rep1 MM1S_KB528_3Hr_H3K27ac
- GSM8453325 MM1S_KB528_3Hr_H3K27ac_rep2 MM1S_KB528_3Hr_H3K27ac
- GSM8453326 MM1S_KB528_6Hr_H3K27ac_rep1 MM1S_KB528_6Hr_H3K27ac
- GSM8453327 MM1S_KB528_6Hr_H3K27ac_rep2 MM1S_KB528_6Hr_H3K27ac
- GSM8453328 MM1S_KB528_24Hr_H3K27ac_rep1 MM1S_KB528_24Hr_H3K27ac
- GSM8453329 MM1S_KB528_24Hr_H3K27ac_rep2 MM1S_KB528_24Hr_H3K27ac
- GSM8453330 MM1S_DMSO_H3K27me3_rep1 MM1S_DMSO_H3K27me3
- GSM8453331 MM1S_DMSO_H3K27me3_rep2 MM1S_DMSO_H3K27me3
- GSM8453332 MM1S_KB528_1Hr_H3K27me3_rep1 MM1S_KB528_1Hr_H3K27me3
- GSM8453333 MM1S_KB528_1Hr_H3K27me3_rep2 MM1S_KB528_1Hr_H3K27me3
- GSM8453334 MM1S_KB528_3Hr_H3K27me3_rep1 MM1S_KB528_3Hr_H3K27me3
- GSM8453335 MM1S_KB528_3Hr_H3K27me3_rep2 MM1S_KB528_3Hr_H3K27me3
- GSM8453336 MM1S_KB528_6Hr_H3K27me3_rep1 MM1S_KB528_6Hr_H3K27me3
- GSM8453337 MM1S_KB528_6Hr_H3K27me3_rep2 MM1S_KB528_6Hr_H3K27me3
- GSM8453338 MM1S_KB528_24Hr_H3K27me3_rep1 MM1S_KB528_24Hr_H3K27me3
- GSM8453339 MM1S_KB528_24Hr_H3K27me3_rep2 MM1S_KB528_24Hr_H3K27me3
- GSM8453340 MM1S_IRF4_rep1 MM1S_IRF4
- GSM8453341 MM1S_IRF4_rep2 MM1S_IRF4
- GSM8453342 MM1S_p300_rep1 MM1S_p300
- GSM8453343 MM1S_p300_rep2 MM1S_p300
- GSM8453344 MM1S_DMSO_input_rep1 MM1S_DMSO_input
- GSM8453345 MM1S_DMSO_input_rep2 MM1S_DMSO_input
- GSM8453346 MM1S_KB528_1Hr_input_rep1 MM1S_KB528_1Hr_input
- GSM8453347 MM1S_KB528_1Hr_input_rep2 MM1S_KB528_1Hr_input
- GSM8453348 MM1S_KB528_3Hr_input_rep1 MM1S_KB528_3Hr_input
- GSM8453349 MM1S_KB528_3Hr_input_rep2 MM1S_KB528_3Hr_input
+ 124 more — browse all 164 samples with per-sample file links →
- GSE155631 Oncogenic mechanisms of DIS3 mutations in Multiple Myeloma 62 samples same disease briefing · shares oncogenic, multiple
- GSE161195 Single cell RNA-seq of relapsed and refractory multiple myeloma patients defines new resistance pathways and targeted treatments 213 samples same disease briefing · shares multiple
- GSE167969 ATAC-seq and RNA-Seq of Multiple Myeloma 46 samples same disease briefing · shares multiple
- GSE148715 “Direct to Drug” screening as a precision medicine tool in multiple myeloma 38 samples same disease briefing · shares multiple
- GSE167968 RNA-seq of Multiple Myeloma 33 samples same disease briefing · shares multiple
- GSE179453 Expression data from control-knockdown (CTR-KD) and MAST4-KD human multiple myeloma (MM) cell lines 6 samples same disease briefing · shares multiple
- GSE167042 Splicing modulation increases BCL2 dependence and sensitizes Multiple Myeloma cells to Venetoclax 4 samples same disease briefing · shares multiple
- GSE178442 Genome-wide maps of transcription in DEAF1 overexpression(OE) and wildtype(WT) cells in Multiple Myeloma 4 samples same disease briefing · shares multiple
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.