KDM6A Regulates Immunogenicity of Multiple Myeloma
ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 70 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)
- Topic
- Multiple myelomaThis series is part of our curated briefing on it.
- Samples
- 70 samples: 16 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.
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 GSE244512_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 PRJNA1023289 and SRA study SRP464237. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 46 samples.
How we read this: 16 replicated groups read from 70 sample titles; they account for 46 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.
- GSM7818407 ATAC-ARP1-KDM6A-KO-rep1 ATAC-ARP1-KDM6A-KO
- GSM7818408 ATAC-ARP1-KDM6A-KO-rep2 ATAC-ARP1-KDM6A-KO
- GSM7818409 ATAC-ARP1-KDM6A-KO-rep3 ATAC-ARP1-KDM6A-KO
- GSM7818410 ATAC-ARP1-KDM6A-WT-rep1 ATAC-ARP1-KDM6A-WT
- GSM7818411 ATAC-ARP1-KDM6A-WT-rep2 ATAC-ARP1-KDM6A-WT
- GSM7818412 ATAC-ARP1-KDM6A-WT-rep3 ATAC-ARP1-KDM6A-WT
- GSM7818413 input-ARP1-KDM6A-H1146E
- GSM7818414 input-ARP1-KDM6A-KO
- GSM7818415 input-ARP1-KDM6A-WT
- GSM7818416 K27ac-ARP1-KDM6A-H1146E
- GSM7818417 K27ac-ARP1-KDM6A-KO
- GSM7818418 K27ac-ARP1-KDM6A-WT
- GSM7818419 K27me3-ARP1-KDM6A-H1146E
- GSM7818420 K27me3-ARP1-KDM6A-KO
- GSM7818421 K27me3-ARP1-KDM6A-WT
- GSM7818422 K4me1ARP-1E4
- GSM7818423 K4me1ARP-1WT
- GSM7818424 K27ac-MEF-KDM6A-KO
- GSM7818425 K27ac-MEF-KDM6A-KO-KRAS
- GSM7818426 K27ac-MEF-KDM6A-WT
- GSM7818427 K27ac-MEF-KDM6A-WT-KRAS
- GSM7818428 K27me3-MEF-KDM6A-KO
- GSM7818429 K27me3-MEF-KDM6A-KO-KRAS
- GSM7818430 K27me3-MEF-KDM6A-WT
- GSM7818431 K27me3-MEF-KDM6A-WT-KRAS
- GSM7818432 HA-IP-ARP1-KDM6A
- GSM7818433 HA-IP-ARP1-KDM6A-HAtagged
- GSM7818434 KDM6A-IP-ARP1-KDM6A-KO
- GSM7818435 KDM6A-IP-ARP1-KDM6A-WT
- GSM7818436 KDM6A-IP-KARPAS-KDM6A-WT
- GSM7818437 AMO-KDM6A-het-rep1 AMO-KDM6A-het
- GSM7818438 AMO-KDM6A-het-rep2 AMO-KDM6A-het
- GSM7818439 AMO-KDM6A-het-rep3 AMO-KDM6A-het
- GSM7818440 AMO-KDM6A-WT-rep1 AMO-KDM6A-WT
- GSM7818441 AMO-KDM6A-WT-rep2 AMO-KDM6A-WT
- GSM7818442 AMO-KDM6A-WT-rep3 AMO-KDM6A-WT
- GSM7818443 EJM-KDM6A-KO-rep2 EJM-KDM6A-KO
- GSM7818444 EJM-KDM6A-KO-rep3 EJM-KDM6A-KO
- GSM7818445 EJM-KDM6A-WT-rep2 EJM-KDM6A-WT
- GSM7818446 EJM-KDM6A-WT-rep3 EJM-KDM6A-WT
+ 30 more — browse all 70 samples with per-sample file links →
- GSE167969 ATAC-seq and RNA-Seq of Multiple Myeloma 46 samples same disease briefing · shares multiple, myeloma
- 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, myeloma
- GSE155631 Oncogenic mechanisms of DIS3 mutations in Multiple Myeloma 62 samples same disease briefing · shares multiple, myeloma
- GSE148715 “Direct to Drug” screening as a precision medicine tool in multiple myeloma 38 samples same disease briefing · shares multiple, myeloma
- GSE167968 RNA-seq of Multiple Myeloma 33 samples same disease briefing · shares multiple, myeloma
- GSE179453 Expression data from control-knockdown (CTR-KD) and MAST4-KD human multiple myeloma (MM) cell lines 6 samples same disease briefing · shares multiple, myeloma
- GSE167042 Splicing modulation increases BCL2 dependence and sensitizes Multiple Myeloma cells to Venetoclax 4 samples same disease briefing · shares multiple, myeloma
- GSE178442 Genome-wide maps of transcription in DEAF1 overexpression(OE) and wildtype(WT) cells in Multiple Myeloma 4 samples same disease briefing · shares multiple, myeloma
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.